Virtual Force Measurement of POD Modes for A Flat Plate in Low Reynolds Number Flows
|
|
- Shonda Gibbs
- 5 years ago
- Views:
Transcription
1 Vrtual Force Measurement of POD Modes for A Flat Plate n Low Reynolds Number Flows Zongxan Lang and Habo Dong Department of Mechancal & Aerospace Engneerng, Unversty of Vrgna, Charlottesvlle, VA 904 A POD Mode Force Survey Method (POD-FSM) s presented to measure vrtual forces of POD modes actng on a flat plate n low Reynolds number flows. In partcular, a ptchng-plungng plate s used to examne major aspects of the POD- FSM. These nclude the effect of the number of POD modes and dependence of computatonal domans. The results have shown that the superposton of vrtual forces of full POD modes can accurately predct the aerodynamc forces actng onto the plate, whereas the vrtual forces of sx hgh-energy contaned POD modes can also measure the thrust wth only 5% error. It s also found that the vrtual forces of POD modes are senstve to the sze of the computatonal doman. F = aerodynamc force actng on bodes F = force term of the th POD mode j Nomenclature F = force term caused by the nteracton of the th and j th POD mode F B, = force term caused by the nteracton of the th POD mode and bodes r = poston vector U = velocty snapshot and exact velocty feld U = mean (tme averaged) velocty over snapshots u = fluctuatng velocty feld = temporal coeffcent of the th POD mode = POD base element of velocty = vortcty of POD modes, curl of I. Introducton T s attractve to researchers and engneers to effectvely and effcently conduct physcs-based analyss I n a varety of flud dynamcs studes, e.g. flappng wng aerodynamcs. Among all methods, Drect Numercal Smulaton (DNS) has been valdated [-6] and demonstrated as an effectve and accurate approach. However, the tme cost of DNS s expensve for any computer-ntensve applcatons, especally for three-dmensonal problems. Thus, to accurately predct the dynamcs of flow problems such as flow control at a low computatonal cost, Reduced-Order Models (ROMs) [7], specfcally Proper Orthogonal Decomposton (POD) based ROMs [8], have been wdely used. In prevous studes [9, 0], a pressure corrected ROM method has been developed and proved vald for flappng flght. However, the aerodynamc performance of the ROMs was hardly dscussed. Ths s manly because there s a lack of tools relatng the aerodynamc force of flappng plates wth the POD Ph.D. Student, AIAA student member, zl3ra@vrgna.edu Assocate Professor, AIAA Assocate Fellow, habo.dong@vrgna.edu Amercan Insttute of Aeronautcs and Astronautcs Paper
2 modes of correspondng unsteady flows. In general, POD modes are consdered as statstcally representatve of the average knetc energy of flows []. Hence, tradtonal analyses of POD modes are based on the sense of energy capture []. As requred by a large number of ROM applcatons whch focus on optmzng aerodynamc force of flows [3], a method descrbng the drect connecton between the aerodynamc forces and POD modes of unsteady flows s necessary. To ths end, we present a POD Mode Force Survey Method (POD-FSM) that can be used to measure vrtual forces of POD modes of low Reynolds number flows obtaned by DNS. The results have shown the superposton of these vrtual forces of full POD modes can accurately reconstruct the aerodynamc forces of a ptchng-plungng plate n Reynolds number 00 flows. An outlne of the chapter s gven below. In Secton II, a bref ntroducton to the methodology of DNS and POD s gven frst, followed by the theorem of the mpulse equaton [4] and the POD-FSM. In Secton III, we frst present a flow past a statonary plate to valdate the mpulse equaton. Next, the POD-FSM s appled to flows past a plate undergong ptchng-plungng motons. Effect of the number of POD modes to the POD-FSM and computatonal doman dependence of the POD-FSM are studed. Vrtual forces of each ndvdual POD modes are also examned. II. Methodology A. Drect Numercal Smulaton The non-dmensonal ncompressble Naver-Stokes equatons, as wrtten n Eq. (), u 0 x u uu j p u t x x Re x x j j j are dscretzed on a Cartesan mesh usng second-order central dfference scheme n space. A secondorder accurate fractonal-step method for tme advancement s employed. Its key feature s that smulatons wth complex boundares can be carred out on statonary non-body conformal Cartesan grds, elmnatng the need for complcated re-meshng algorthms that are usually employed wth conventonal Lagrangan body-conformal methods. The boundary condtons on the mmersed body are mposed through a ghost-cell procedure [5]. The pressure Posson equaton s solved usng the geometrc multgrd method ntegratng wth the mmersed-boundary methodology. B. Proper Orthogonal Decomposton (POD) Proper Orthogonal Decomposton s a method used to represent large data felds wth a relatvely small number of elements. POD creates a set of bass functon whch spans the orgnal data set by capturng the characterstc components. The system can be represented by the frst few domnant modes. Let U x : N, x be a set of N snapshots of a doman Ω. The mean (tme averaged) N velocty of the snapshots s gven by U U x. Thus the fluctuatng velocty s N () u U U,,, N. To form a set of the modes n the context of proper orthogonal decomposton, t s requred to maxmze the quantty u, subjected to a constrant for each mode n the set. Here, () f, g s an nner product defned as Amercan Insttute of Aeronautcs and Astronautcs Paper
3 f, g f x g xdx, f f, f, and f s a tme average operaton on the data ensemble. The POD method n ths scenaro produces the POD modes that maxmze the turbulent knetc energy. The optmzaton problem can be transformed nto an egenvalue problem by usng the snapshot method [6], wrtten as: AV V (3) where the entry of matrx A s aj u, u j. After solvng the egenvalue problem, the egenvalue and correspondng egenvector V are usually reorganzed n descendng order. Each POD bass element element of the th egenvector V. Based on s gven by N au j j j 3 Amercan Insttute of Aeronautcs and Astronautcs Paper where a j s the j th, any snapshot can then be reconstructed usng a lnear n n n combnaton of the POD bass elements U U where un. N C. The Impulse Equaton and the POD-FSM Noca et al. [4] presented an mpulse equaton to measure nstantaneous forces on mmersed bodes wth only nformaton of velocty and vortcty, d F r dv n V ( t) S ( t) mpds N dt (4) d r n u ds n u u Sb( t) Sb( t) S uds N dt mp u I uu u us r r u N N r T I r T T N where n s the normal vector of surfaces, I s the unt tensor, u S s velocty of the control surface and T s T the vscous stress tensor T u u. The control surface ntegral term mp n (4) ncludes the nformaton of external boundares. The frst two terms n mp represent the Kutta-Zhukovsky or vortex force. If we consder POD modes as a specal type of vortex structure n terms of knetc energy and assume that each POD mode s assocated wth a vrtual force that can be measured by the mpulse equaton, we can have a force measurement for POD modes. Ths method, termed POD Mode Force Survey Method (POD-FSM), can be derved by substtutng the POD expressons of velocty and vortcty nto the mpulse equaton (4). Because the body surface s mpermeable, the surface ntegral term n u us uds can be omtted. As a result, one obtans the force expresson n terms of Sb () t Nm Nm Nm B, j (5) F F F F 0 0 j0 where F are force of the th POD mode, F j are force caused by the nteracton between the th and j th POD mode and F B, are the force caused by the nteracton between the th POD mode and the body. F s a non-nteracton term consstng of one volume ntegral term related to the frst moment of POD vortcty and three surface ntegral terms related to vscous stress tensor T, wrtten as
4 d F r dv n V S () t ds N dt where s the curl of POD modes r r, (6), r T I r T T N (7) T T r r Note that the mean velocty s denoted as mode zero (=0), whose temporal coeffcent 0 s equal to one. The nteracton terms F j nclude products of dfferent POD modes representng the orgnal terms n the mpulse equaton. Thus, F j are the force caused by the nteracton between the th and j th POD mode at the external surface of control volume. Fj j n S() t jds (8) where j j I j us r j (9) N r j N Immersed bodes may move n fluds. Ths movement nteracts wth each POD mode and generates addtonal forces, wrtten as d F, r nt ds B N dt Sb () t (0) If the mmersed body s a zero-thckness plate, F B, s equal to zero because the flow velocty s the ui, uu, u us r and r u same at the upper and lower surfaces as the movng velocty of the plate. The normal vectors of the upper and lower surfaces are opposte. As a result, the surface ntegral around the plate s zero. III. Results A. Valdaton of the Impulse Equaton The mpulse equaton [4] s valdated by a flow past a two-dmensonal statonary membrane plate. A two-dmensonal plate (zero thckness) s placed n flow felds wth angle of attack equal to 30. Incomng free stream of velocty U =. The chord length of the statonary membrane plate s one. The Reynolds number of the flow s 00. The sze of flow doman s 8 (X) 5 (Y) wth the grd number equal to The velocty boundares are of Drchlet boundary condton except at the rght-hand boundary where t s outflow. Homogeneous Neumann boundary condton s specfed on all the boundares for pressure. The hstory of drag and lft coeffcents, whch begns from an mpulse start and lasts for 40 unts of non-dmensonal tme, s shown n Fg.. Table lsts tme-average and root mean square (RMS) of the drag and lft coeffcents. The DNS result s computed by surface ntegral of the pressure and vscous terms around the plate, whle the computaton of the mpulse equaton uses a doman sze equal to the smulaton doman. Smaller computatonal domans of the mpulse equaton may change the force magntude up to 0%, whch s n a range smlar to the results gven n [7]. In general, despte that the mpulse method slghtly underestmates the lft and overestmates the drag, t shows a good agreement wth the DNS result n both lft and drag curves. 4 Amercan Insttute of Aeronautcs and Astronautcs Paper
5 Fgure. Force coeffcents hstory from t/t=0 to 40. The legend Impulse means the mpulse equaton. Table : Comparson of drag and lft coeffcents between DNS and the mpulse equaton DNS Impulse Average RMS Average RMS C D C L B. Flow past a membrane plate undergong a ptchng-plungng moton Drect numercal smulatons were conducted for flows past a two-dmensonal, membrane plate undergong the ptchng and plungng moton. The knematcs of the plate can be prescrbed by y( t) H cos( f t) () ( t) Asn( f t) () where H s the heave ampltude, A s the ampltude of the snusodal ptch angle varaton and f s frequency. The ptch angle ampltude A s equal to 30º. Strouhal number and Reynolds number are defned, respectvely, as St=Hf/U and Re=U c/ν, where U s the unform flow velocty, c s the chord length of the plate and ν s the knematcs vscosty of fluds. In the current study, the heave ampltude H s equal to 0.5, the unform flow velocty U s one, and the frequency s n a range of 0.4 f 0.6. Thus St ranges from 0.4 to 0.6. Wthout loss of generalty, we specfed a representatve low Reynolds number equal to 00 for the study. The confguraton of the flow doman s the same as the statonary case. The plate s placed at the mddle of the flow feld, as shown n Fg.. The number of POD modes and the sze of computatonal doman are two factors that can affect the aerodynamc force calculated by the Fgure. Computatonal domans for the mpulse equaton and the POD-FSM. The plate s at the lowest poston and s movng upward. POD-FSM. Ther effect on the accuracy of the POD-FSM are nvestgated n the current study. The flow reached a perodc sheddng state n approxmately -3 perods after startup. We took the 6 th perod as POD data ensemble to extract 96 snapshots every 0 frames (960 frames per perod) and generate, 6,, 4, 48 and 96 POD modes. Two regons were used n the POD analyss and the POD-FSM. Regon R s 5 Amercan Insttute of Aeronautcs and Astronautcs Paper R R
6 a rectangular doman wth the lower left corner beng (-3, -4) and the upper rght corner beng (5, 4) (see Fg. for reference). Regon R s defned by movng the upper rght corner to (3, 4). In addton, to examne the usefulness of the POD-FSM to the ptchng-plungng flows at a range of Strouhal numbers, we chose three representatve frequency f=0.4, 0.5 and 0.6. Table lsts a number of selected cases wth dfferent combnatons of the number of POD modes, the regons and St. Fg. shows a comparson of vortcty contour of the flow at St=0.6 between the DNS result and the reconstructon usng 96 POD modes. It can be seen that the major features of the reconstructed flow are smlar to the DNS result, except that near the tralng edge of the flappng plate the shape of the vortex on the upper surface s slghtly dstorted. Table : Summary of cases and parameters St # of POD Modes Regon RMS of Thrust Error of RMS % % % R: [-3,5] [-4,4] % % % % % % R: [-3,3] [-4,4] % %.65-7.% R: [-3,5] [-4,4].4-5.8% R: [-3,5] [-4,4] % a) DNS b) Reconstructon wth 96 POD modes Fgure. Vortcty contours at t/t= for the flow at St=0.6. Contrbuton of ndvdual egenvalue to the total turbulent knetc energy can be expressed as normalzed egenvalues n a form of represented by N m k. Captured knetc energy by the frst modes can be k N m k k The egenvalue spectrum of the flows at St=0.4, 0.5 and 0.6 s shown n Fg. k k. 3. The decay of egenvalues of three cases follows the same trend. Frst two modes contan nearly 88% of 6 Amercan Insttute of Aeronautcs and Astronautcs Paper
7 total turbulent knetc energy. The accumulaton of frst sx modes ncreases up to 97%. Hgher order POD modes contan trval fluctuatng knetc energy that manly concentrates near the flappng plate. The thrust and lft coeffcents are defned as F C T T (3) U c C L F L Uc (4) where F T and F L are thrust and lft actng on the plate, respectvely. The force hstory of the flows at St=0.4, 0.5 and 0.6 s shown n Fg. 4. Comparng to the result n [] whch used an ellpsodal fol wth thckness rato equal to 0., the zero-thckness plate causes relatvely larger peak forces n both lft and drag. As St decreases, the peak force of thrust and lft decreases sgnfcantly. The tme averaged thrust coeffcent of the flows at St=0.4, 0.5 and 0.6 s 0.44, 0.9 and.56, respectvely; and ther RMS s 0.63,. and.99, respectvely. The mpulse equaton and the POD-FSM were appled to the flows and both methods show a good agreement wth the DNS result. When all 96 POD modes are used, Fgure 3. Egenvalue spectrum of the flows at St=0.4, 0.5 and 0.6. the forces calculated by the POD-FSM converge to the correspondng results of the mpulse equaton n all three cases. Comparng wth the DNS results, the RMS error of thrust s no greater than 6%, as ndcated n Table. a) St=0.4 b) St=0.5 c) St=0.6 Fgure 4. Hstory of thrust and lft coeffcents Fgs. 5a and 5b show, respectvely, the thrust and lft coeffcents of the DNS result and reconstructed forces wth dfferent number of POD modes n Regons R for the case at St=0.6. The thrust reconstructed wth or more modes agrees well wth the DNS result. The curve of 6 modes has a slghtly dfferent trend, comparng wth the DNS result. The curve of modes s trgonometrc-lke wave wth the ampltude and tmng of peaks and valleys greatly devatng from the DNS. In contrast, the reconstructed lft of 6 modes shows excellent agreement wth the DNS result and the -mode case stll follows the general trend. From the perspectve of statstcal measurement n one perod, the RMS thrust of 96 modes s.9, whch s 4% smaller than the DNS result. Decreasng the number of POD modes from 96 to slghtly reduces the error. The error of 6 modes ncrease to 5.0%, and the thrust of modes s 8% smaller than 7 Amercan Insttute of Aeronautcs and Astronautcs Paper
8 the DNS. It s notable that the dfference of the error of 96 modes and 6 modes s only %, despte that the force curves have vsble dfferences at peak locatons and ampltudes. a) Thrust coeffcents C T (R) b) Lft coeffcents C L (R) c) Thrust coeffcents C T (R) Fgure 5. Force coeffcents of St=0.6 wth dfferent number of POD modes n Regons R and R. Fg. 5c plots the thrust coeffcents of the DNS result and reconstructed forces wth dfferent numbers of modes n Regon R. RMS of thrust wth 96 modes s.04, whch s.5% larger than the DNS result. Decreasng the number of POD modes from 96 to does not change the RMS error. The error of 6 modes slghtly decreases to.0%, whch s even smaller than the error of 96 modes. The result of modes s -7.%, approxmately the same as the one wth Regon R. However, the tmng of peaks and valleys of modes of Regon R s dfferent to that of Regon R. Ths s because the POD modes and and ther temporal coeffcents are dfferent wth respect to dfferent szes of computatonal doman. In general, from these observatons, t concludes that a lmted number of POD modes can be suffcent to reconstruct the orgnal force and POD modes that assocate wth hgher energy are more mportant than those wth lower energy n force reconstructon. The reconstructed force approaches to the soluton of the mpulse equaton as the number of POD modes ncreases. However, results of the mpulse equaton may dffer from DNS results, as we have shown n the pror valdaton secton. The error of the POD-FSM caused by usng less amounts of POD modes may compensate the error of the mpulse equaton. Therefore, statstc force calculated by several modes can be more approxmate to DNS results. Eq. (5) contans non-nteracton and nteracton force terms. The non-nteracton term can be defntely accounted for a specfc POD mode. However, t s dffcult to dstrbute the nteracton terms, whch are caused by nteractons of two modes, nto one mode. Here, to make a comparson of the force of POD modes, we defne the force related to the th POD mode as N m NF F F (5) j j0 where NF means nteracton forces. The nteracton force hstory of the mean flow NF 0 and modes NF are shown n Fg. 6. For the force of the mean flow usng Regons R or R, the lft changes slghtly as the number of modes change. However, the thrust wth modes sgnfcantly devates from other curves. Ths mples that modes 3 and 4 play an mportant role n the thrust producng. From Fg. 6b, t can be seen that the lft curves wth dfferent mode number concde for mode. Ths means that the lft of mode s ndependent to the number of modes. It s notable that the trend of NF 0 and NF do not resemble the DNS result. Partcularly, the lft peak of NF at approxmately t=5.6 s much larger than the DNS result. Because NF 0 at t=5.6 s negatve, addng NF and NF 0 produces a value smaller than NF. Comparng Fg. 6a and 6c, t seems that there s a phase shftng between the curves of Regons R and R. Addtonally, the ampltude of peaks and valleys s dfferent. Because other flow parameters are the same, t can be concluded that the force calculated by the POD-FSM s not doman ndependent. Ths 8 Amercan Insttute of Aeronautcs and Astronautcs Paper
9 dffers from the mpulse equaton, by whch the force calculated wth dfferent computatonal domans can be hghly smlar. a) NF 0 n Regon R b) NF n Regon R c) NF 0 n Regon R Fgure 6. Interacton force of the mean flow and POD modes of St=0.6 wth dfferent number of POD modes n Regons R and R. IV. Concluson A POD Mode Force Survey Method (POD-FSM) s presented to measure vrtual forces of POD modes of a ptchng-plungng plate. It shows that aerodynamc forces actng on the plate can be decomposed nto a lnear combnaton of the vrtual force of each ndvdual POD modes, the nteracton between the POD modes, and the nteracton between the POD modes and the plate. Several aspects of the POD-FSM, such as the effect of the number of POD modes and the senstvty of computatonal doman, are examned. It s found that the superposton of the vrtual forces of full POD modes can accurately predct the force actng on the plate wthn ±6% RMS errors for the flows n a range of 0.4 St 0.6. Sx hgh-energy contaned POD modes can obtan a good approxmaton of the thrust wthn ±5% RMS errors. Two energetc POD modes can approxmate the thrust wth ±8% RMS errors. Ths ndcates that POD modes wth hgher energy are more mportant than those wth lower energy from the perspectve of aerodynamc force. It s also found that the vrtual force of each ndvdual POD mode s doman dependent. Dfferent szes of computatonal domans produce dfferent vrtual force curves for POD modes. Acknowledgments Ths s work s supported under AFRL FA montored by Dr. Douglass Smth and NSF CBET-337. References Sun, M. and Lan, S.L., A computatonal study of the aerodynamc forces and power requrements of dragonfly (Aeschna juncea) hoverng. Journal of Expermental Bology.Vol. 07, No., 004, pp Dong, H., Mttal, R., Najjar, F. M., Wake topology and hydrodynamc performance of low aspect-rato flappng fols. Journal of Flud Mechancs.Vol. 556, No. 006, pp Narasmhan, M., et al., Optmal yaw regulaton and trajectory control of borobotc AUV usng mechancal fns based on CFD parametrzaton. Journal of Fluds Engneerng-Transactons of the Asme.Vol. 8, No. 4, 006, pp Lang, Z. and Dong, H. Computatonal Study of Wng-Wake Interactons between Ipslateral Wngs of Dragonfly n Flght. AIAA Paper Dong, H. and Lang, Z. Effects of Ipslateral Wng-Wng Interactons on Aerodynamc Performance of Flappng Wngs. AIAA Paper Dong, H., Lang, Z., and Harff, M., Optmal Settngs of Aerodynamc Performance Parameters n Hoverng Flght. Internatonal Journal of Mcro Ar Vehcle.Vol., No. 3, 009, pp We, M. and Yang, T. A global approach for reduced-order models of flappng flexble wngs. AIAA paper Amercan Insttute of Aeronautcs and Astronautcs Paper
10 8 Holmes, P., Lumley, J.L., and Berkooz, G., Turbulence, Coherent Structures, Dynamcal Systems And Symmetry Lang, Z., Dong, H., and Beran, P.S. POD-Galerkn Projecton of Flappng Wngs. AIAA Paper Lang, Z., et al. Unsteady Flow and Its Reduced-Order Modelng of A Fnte-Aspect-Rato Flappng Fol. AIAA Paper Blackmore, D., Krause, E., and Tung, C., Vortex Domnated Flows: A Volume Celebratng Lu Tng's 80th Brthday Cazemer, Proper orthogonal decomposton and low-dmensonal models for drven cavty flows. Physcs of Fluds.Vol. 0, No. 7, 998, pp Bergmann, M., Corder, L., and Brancher, J.-P., Optmal rotary control of the cylnder wake usng proper orthogonal decomposton reduced-order model. Physcs of Fluds.Vol. 7, No. 9, 005, pp Noca, F., Shels, D., and Jeon, D., Measurng Instantaneous Flud Dynamc Forces on Bodes, Usng Only Velocty Felds and Ther Dervatves. Journal of Fluds and Structures.Vol., No. 3, 997, pp Mttal, R., et al., A versatle sharp nterface mmersed boundary method for ncompressble flows wth complex boundares. Journal of Computatonal Physcs.Vol. 7, No. 0, 008, pp Srovch, L., Turbulence and the dynamcs of coherent structures. parts -. Quarterly of Appled Mathematcs Vol. 45, No. 3, 987, pp , Noca, F., Shels, D., and Jeon, D., A comparson of methods for evaluatng tme-dependent flud dynamc forces on bodes, usng only velocty felds and ther dervatves. Journal of Fluds and Structures.Vol. 3, No. 5, 999, pp Amercan Insttute of Aeronautcs and Astronautcs Paper
One-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationTurbulent Flow. Turbulent Flow
http://www.youtube.com/watch?v=xoll2kedog&feature=related http://br.youtube.com/watch?v=7kkftgx2any http://br.youtube.com/watch?v=vqhxihpvcvu 1. Caothc fluctuatons wth a wde range of frequences and
More informationSTUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS
Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationJournal of Fluid Science and Technology
Journal of Flud Scence and Technology Numercal Smulaton of Incompressble Flows around a Fsh Model at Low Reynolds Number Usng Seamless Vrtual Boundary Method * Hdetosh NISHIDA ** and Kyohe TAJIRI ** **Department
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationA Numerical Study of Heat Transfer and Fluid Flow past Single Tube
A Numercal Study of Heat ransfer and Flud Flow past Sngle ube ZEINAB SAYED ABDEL-REHIM Mechancal Engneerng Natonal Research Center El-Bohos Street, Dokk, Gza EGYP abdelrehmz@yahoo.com Abstract: - A numercal
More informationPhysics 5153 Classical Mechanics. Principle of Virtual Work-1
P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal
More informationPressure Measurements Laboratory
Lab # Pressure Measurements Laboratory Objectves:. To get hands-on experences on how to make pressure (surface pressure, statc pressure and total pressure nsde flow) measurements usng conventonal pressuremeasurng
More informationFlow equations To simulate the flow, the Navier-Stokes system that includes continuity and momentum equations is solved
Smulaton of nose generaton and propagaton caused by the turbulent flow around bluff bodes Zamotn Krll e-mal: krart@gmal.com, cq: 958886 Summary Accurate predctons of nose generaton and spread n turbulent
More informationLow-dimensional Modeling and Aerodynamics of Flexible Wings in Flapping Flight
Low-dmensonal Modelng and Aerodynamcs of Flexble Wngs n Flappng Flght Yan Ren 1, Habo Dong 2 Department of Mechancal and Aerospace Engneerng Unversty of Vrgna, Charlottesvlle, VA 22904 All natural flyers
More informationNumerical Simulation of Lid-Driven Cavity Flow Using the Lattice Boltzmann Method
Proceedngs of the 3th WSEAS Internatonal Conference on APPLIED MATHEMATICS (MATH'8) Numercal Smulaton of Ld-Drven Cavty Flow Usng the Lattce Boltzmann Method M.A. MUSSA, S. ABDULLAH *, C.S. NOR AZWADI
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More informationA large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method
A large scale tsunam run-up smulaton and numercal evaluaton of flud force durng tsunam by usng a partcle method *Mtsuteru Asa 1), Shoch Tanabe 2) and Masaharu Isshk 3) 1), 2) Department of Cvl Engneerng,
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationComputational Fluid Dynamics. Smoothed Particle Hydrodynamics. Simulations. Smoothing Kernels and Basis of SPH
Computatonal Flud Dynamcs If you want to learn a bt more of the math behnd flud dynamcs, read my prevous post about the Naver- Stokes equatons and Newtonan fluds. The equatons derved n the post are the
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More informationHandout: Large Eddy Simulation I. Introduction to Subgrid-Scale (SGS) Models
Handout: Large Eddy mulaton I 058:68 Turbulent flows G. Constantnescu Introducton to ubgrd-cale (G) Models G tresses should depend on: Local large-scale feld or Past hstory of local flud (va PDE) Not all
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationRotor Noise Modeling Kenneth S. Brentner Penn State University
Rotor Nose Modelng Kenneth S. Brentner Penn State Unversty Joby Avaton S4 www.jobyavaton.com 2018 Kenneth S. Brentner. All rghts reserved. 5 th Transformatve Vertcal Flght Workshop, January 18-19, 2018
More informationA NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT
Internatonal Conference Mathematcal and Computatonal ology 0 Internatonal Journal of Modern Physcs: Conference Seres Vol. 9 0 68 75 World Scentfc Publshng Company DOI: 0.4/S009450059 A NUMERICAL COMPARISON
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationAnalysis of Unsteady Aerodynamics of a Car Model with Radiator in Dynamic Pitching Motion using LS-DYNA
Analyss of Unsteady Aerodynamcs of a Car Model wth Radator n Dynamc Ptchng Moton usng LS-DYNA Yusuke Nakae 1, Jro Takamtsu 1, Hrosh Tanaka 1, Tsuyosh Yasuk 1 1 Toyota Motor Corporaton 1 Introducton Recently,
More informationTensor Smooth Length for SPH Modelling of High Speed Impact
Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationLATTICE BOLTZMANN SIMULATION OF FLOW OVER A CIRCULAR CYLINDER AT MODERATE REYNOLDS NUMBERS
THERMAL SCIENCE: Year 014, Vol. 18, No. 4, pp. 135-146 135 LATTICE BOLTZMANN SIMULATION OF FLOW OVER A CIRCULAR CYLINDER AT MODERATE REYNOLDS NUMBERS by Dharmaraj ARUMUGA PERUMAL a*, Gundavarapu V. S.
More informationSurvey of applications of discrete vortex method in civil engineering
Budownctwo Archtektura 5 (2009) 29-38 Survey of applcatons of dscrete vortex method n cvl engneerng Tomasz Nowck Lubln Unversty of Technology, Faculty of Cvl Engneerng and Archtecture, Department of Structural
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationPublication 2006/01. Transport Equations in Incompressible. Lars Davidson
Publcaton 2006/01 Transport Equatons n Incompressble URANS and LES Lars Davdson Dvson of Flud Dynamcs Department of Appled Mechancs Chalmers Unversty of Technology Göteborg, Sweden, May 2006 Transport
More informationChapter 13: Multiple Regression
Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationHigher Order Wall Boundary Conditions for Incompressible Flow Simulations
THE 5 TH ASIAN COMPUTAITIONAL FLUID DYNAMICS BUSAN KOREA OCTOBER 7-30 003 Hgher Order Wall Boundary Condtons for Incompressble Flow Smulatons Hdetosh Nshda. Department of Mechancal and System Engneerng
More informationSimulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests
Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth
More informationA Comparative Investigation into Aerodynamic Performances of Two Set Finned Bodies with Circular and Non Circular Cross Sections
A Comparatve Investgaton nto Aerodynamc Performances of Two Set Fnned Bodes wth Crcular and Non Crcular Cross Sectons MAHMOUD MANI and SHADI MAHJOOB Aerospace Engneerng Department Amrkabr Unversty of Technology
More informationResearch Article Green s Theorem for Sign Data
Internatonal Scholarly Research Network ISRN Appled Mathematcs Volume 2012, Artcle ID 539359, 10 pages do:10.5402/2012/539359 Research Artcle Green s Theorem for Sgn Data Lous M. Houston The Unversty of
More informationTime-Varying Systems and Computations Lecture 6
Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy
More informationFORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO
ISTP-,, PRAGUE TH INTERNATIONAL SYMPOSIUM ON TRANSPORT PHENOMENA FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO Mohammad Rahnama*, Seyed-Mad Hasheman*, Mousa Farhad**
More informationCOMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD
COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,
More informationA new integrated-rbf-based domain-embedding scheme for solving fluid-flow problems
Home Search Collectons Journals About Contact us My IOPscence A new ntegrated-rbf-based doman-embeddng scheme for solvng flud-flow problems Ths artcle has been downloaded from IOPscence. Please scroll
More information2 MODELS A typcal hgh-sded artculated lorry, whch was nvestgated extensvely by Baker and hs colleagues n wnd tunnels and later used n the dynamc analy
The Seventh Internatonal Colloquum on Bluff Body Aerodynamcs and Applcatons (BBAA7) Shangha, Chna; September 2-6, 2012 Determnaton of aerodynamc characterstcs of a vehcle mmerged n the wake of brdge tower
More informationNUMERICAL SIMULATION OF FLOW AROUND A NACA 0012 AIRFOIL IN TRANSIENT PITCHING MOTION USING IMMERSED BOUNDARY METHOD WITH VIRTUAL PHYSICAL MODEL
NUMERICAL SIMULATION OF FLOW AROUND A NACA 0012 AIRFOIL IN TRANSIENT PITCHING MOTION USING IMMERSED BOUNDARY METHOD WITH VIRTUAL PHYSICAL MODEL José Eduardo Santos Olvera Laboratory of Heat and Mass Transfer
More informationPARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY
POZNAN UNIVE RSITY OF TE CHNOLOGY ACADE MIC JOURNALS No 86 Electrcal Engneerng 6 Volodymyr KONOVAL* Roman PRYTULA** PARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY Ths paper provdes a
More informationTHE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD
Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS
More informationPhysics 181. Particle Systems
Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system
More informationStatistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA
14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton
More informationOptimal Control of Temperature in Fluid Flow
Kawahara Lab. 5 March. 27 Optmal Control of Temperature n Flud Flow Dasuke YAMAZAKI Department of Cvl Engneerng, Chuo Unversty Kasuga -3-27, Bunkyou-ku, Tokyo 2-855, Japan E-mal : d33422@educ.kc.chuo-u.ac.jp
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationLecture 14: Forces and Stresses
The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal
More informationFlow Induced Vibration
Flow Induced Vbraton Project Progress Report Date: 16 th November, 2005 Submtted by Subhrajt Bhattacharya Roll no.: 02ME101 Done under the gudance of Prof. Anrvan Dasgupta Department of Mechancal Engneerng,
More information4DVAR, according to the name, is a four-dimensional variational method.
4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The
More informationConsideration of 2D Unsteady Boundary Layer Over Oscillating Flat Plate
Proceedngs of the th WSEAS Internatonal Conference on Flud Mechancs and Aerodynamcs, Elounda, Greece, August -, (pp-) Consderaton of D Unsteady Boundary Layer Over Oscllatng Flat Plate N.M. NOURI, H.R.
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 6
REVIEW of Lecture 5 2.29 Numercal Flud Mechancs Fall 2011 Lecture 6 Contnuum Hypothess and conservaton laws Macroscopc Propertes Materal covered n class: Dfferental forms of conservaton laws Materal Dervatve
More informationConduction Shape Factor Models for Three-Dimensional Enclosures
JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER Vol. 19, No. 4, October December 005 Conducton Shape Factor Models for Three-Dmensonal Enclosures P. Teertstra, M. M. Yovanovch, and J. R. Culham Unversty of
More informationSolution of the Navier-Stokes Equations
Numercal Flud Mechancs Fall 2011 Lecture 25 REVIEW Lecture 24: Soluton of the Naver-Stokes Equatons Dscretzaton of the convectve and vscous terms Dscretzaton of the pressure term Conservaton prncples Momentum
More informationEXPERIMENTAL STUDY OF NEAR WALL TURBULENCE USING PIV
EUROMECH 411 Rouen, 9-31 May EXPERIMENTAL STUDY OF NEAR WALL TURBULENCE USING PIV J. Carler, J. M. Foucaut and M. Stanslas LML URA 1441, Bv Paul Langevn, Cté Scentfque, 59655 Vlleneuve d'ascq Cedex, France
More informationComputational Electromagnetics in Antenna Analysis and Design
Computatonal Electromagnetcs n Antenna Analyss and Desgn Introducton It s rare for real-lfe EM problems to fall neatly nto a class that can be solved by the analytcal methods presented n the precedng lectures.
More informationLecture 5.8 Flux Vector Splitting
Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationA comprehensive study: Boundary conditions for representative volume elements (RVE) of composites
Insttute of Structural Mechancs A comprehensve study: Boundary condtons for representatve volume elements (RVE) of compostes Srhar Kurukur A techncal report on homogenzaton technques A comprehensve study:
More informationComputational investigation of the external excitation frequency effect on liquid sloshing phenomenon
Computatonal nvestgaton of the external exctaton frequency effect on lqud sloshng phenomenon Abdallah Bouabd *, Zed Drss, Laboratory of Electro-Mechanc Systems (LASEM) Natonal School of Engneers of Sfax
More informationLecture 10 Support Vector Machines II
Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed
More informationApplication of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems
Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &
More informationCONTROLLED FLOW SIMULATION USING SPH METHOD
HERI COADA AIR FORCE ACADEMY ROMAIA ITERATIOAL COFERECE of SCIETIFIC PAPER AFASES 01 Brasov, 4-6 May 01 GEERAL M.R. STEFAIK ARMED FORCES ACADEMY SLOVAK REPUBLIC COTROLLED FLOW SIMULATIO USIG SPH METHOD
More informationUniversity of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015
Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want
More informationStudy of transonic separated flows with zonal-des based on weakly non-linear turbulence model
Study of transonc separated flows wth zonal-des based on weakly non-lnear turbulence model Xao Z.X, Fu S., Chen H.X, Zhang Y.F and Huang J.B. Department of Engneerng Mechancs, Tsnghua Unversty, Bejng,
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationAERODYNAMICS I LECTURE 6 AERODYNAMICS OF A WING FUNDAMENTALS OF THE LIFTING-LINE THEORY
LECTURE 6 AERODYNAMICS OF A WING FUNDAMENTALS OF THE LIFTING-LINE THEORY The Bot-Savart Law The velocty nduced by the sngular vortex lne wth the crculaton can be determned by means of the Bot- Savart formula
More informationOn the Symmetrization in POD-Galerkin Model for Linearized Compressible Flows
AIAA ScTech 4-8 January 6, San Dego, Calforna, USA 54th AIAA Aerospace Scences Meetng AIAA 6-6 On the Symmetrzaton n POD-Galerkn Model for Lnearzed Compressble Flows Mehd Tabandeh, Mngun We New Mexco State
More informationFirst Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.
Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act
More informationFinite Wings Steady, incompressible flow
Steady, ncompressble flow Geometrc propertes of a wng - Fnte thckness much smaller than the span and the chord - Defnton of wng geometry: a) Planform (varaton of chord and sweep angle) b) Secton/Arfol
More informationA particle in a state of uniform motion remain in that state of motion unless acted upon by external force.
The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,
More informationIC Engine Flow Simulation using KIVA code and A Modified Reynolds Stress Turbulence Model
IC Engne Flow Smulaton usng KIVA code and A Modfed Reynolds Stress Turbulence Model Satpreet Nanda and S.L. Yang Mechancal Engneerng-Engneerng Mechancs Department Mchgan Technologcal Unversty Houghton,
More informationIrregular vibrations in multi-mass discrete-continuous systems torsionally deformed
(2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected
More informationTHE NEAR-WALL INFLUENCE ON THE FLOW AROUND A SINGLE SQUARE CYLINDER.
THE NEAR-WALL INFLUENCE ON THE FLOW AROUND A SINGLE SQUARE CYLINDER. Campregher, Rubens Faculty of Mechancal Engneerng, FEMEC Federal Unversty of Uberlânda, UFU 38400-902 Uberlânda - Brazl campregher@mecanca.ufu.br
More informationPrinciples of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer
Prncples of Food and Boprocess Engneerng (FS 31) Solutons to Example Problems on Heat Transfer 1. We start wth Fourer s law of heat conducton: Q = k A ( T/ x) Rearrangng, we get: Q/A = k ( T/ x) Here,
More informationThree views of mechanics
Three vews of mechancs John Hubbard, n L. Gross s course February 1, 211 1 Introducton A mechancal system s manfold wth a Remannan metrc K : T M R called knetc energy and a functon V : M R called potental
More informationCalculation of Aerodynamic Characteristics of NACA 2415, 23012, Airfoils Using Computational Fluid Dynamics (CFD)
Calculaton of Aerodynamc Characterstcs of NACA 2415, 23012, 23015 Arfols Usng Computatonal Flud Dynamcs (CFD) Hmanshu Parashar Abstract A method of solvng the flow over arfols of Natonal Advsory Commttee
More informationComputing Nonequilibrium Conformational Dynamics of Structured Nucleic Acid Assemblies
Supportng Informaton for Computng Nonequlbrum Conformatonal Dynamcs of Structured Nuclec Acd Assembles Reza Sharf Sedeh,, Keyao Pan,, Matthew Ralph Adendorff, Oskar Hallatschek, Klaus-Jürgen Bathe,*, and
More informationVisco-Rubber Elastic Model for Pressure Sensitive Adhesive
Vsco-Rubber Elastc Model for Pressure Senstve Adhesve Kazuhsa Maeda, Shgenobu Okazawa, Koj Nshgch and Takash Iwamoto Abstract A materal model to descrbe large deformaton of pressure senstve adhesve (PSA
More informationWorkshop: Approximating energies and wave functions Quantum aspects of physical chemistry
Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationThe Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites
7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT
More informationA PROBABILITY-DRIVEN SEARCH ALGORITHM FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
HCMC Unversty of Pedagogy Thong Nguyen Huu et al. A PROBABILITY-DRIVEN SEARCH ALGORITHM FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS Thong Nguyen Huu and Hao Tran Van Department of mathematcs-nformaton,
More informationTurbulence and its Modelling
School of Mechancal Aerospace and Cvl Engneerng 3rd Year Flud Mechancs Introducton In earler lectures we have consdered how flow nstabltes develop, and noted that above some crtcal Reynolds number flows
More informationMathematical Preparations
1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the
More informationTesting for seasonal unit roots in heterogeneous panels
Testng for seasonal unt roots n heterogeneous panels Jesus Otero * Facultad de Economía Unversdad del Rosaro, Colomba Jeremy Smth Department of Economcs Unversty of arwck Monca Gulett Aston Busness School
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationResource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud
Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal
More informationExtension of Smoothed Particle Hydrodynamics (SPH), Mathematical Background of Vortex Blob Method (VBM) and Moving Particle Semi-Implicit (MPS)
Amercan Journal of Computatonal athematcs, 04, 5, 44-445 Publshed Onlne December 04 n ScRes. http://www.scrp.org/ournal/acm http://dx.do.org/0.436/acm.04.45036 Extenson of Smoothed Partcle Hydrodynamcs
More informationLab 2e Thermal System Response and Effective Heat Transfer Coefficient
58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),
More informationTools for large-eddy simulation
Center for Turbulence Research Proceedngs of the Summer Program 00 117 Tools for large-eddy smulaton By Davd A. Caughey AND Grdhar Jothprasad A computer code has been developed for solvng the ncompressble
More information