Simplified Identification Scheme for Structures on a Flexible Base
|
|
- Alfred Preston
- 5 years ago
- Views:
Transcription
1 Simplified Identification Scheme for Strctres on a Flexible Base L.M. Star California State University, Long Beach G. Mylonais University of Patras, Greece J.P. Stewart University of California, Los Angeles SUMMARY: The objective of system identification is to evalate nnown properties of a dynamic system by developing a mathematical model for the relationship between measred responses (otpts) and measred external demands (inpts) to the system. We describe a new freqency domain procedre which tilizes a graphical bisector scheme to identify freqency and damping for the ible base, psedo-ible base and fixed base behavior of a strctre, from a single set of ible base data. The procedre is applied for analysis of both earthqae data and forced vibration test data. We can validate the bisector procedre by generating simlated data from comptational models of soil-fondation-strctre systems. Responses from these modelled strctres can also be analyzed sing traditional methods to identify ible and fixed base modal parameters. Keywords: soil-strctre interaction, field testing, system identification, shallow fondations 1. INTRODUCTION The objective of system identification is to evalate the nnown properties of a dynamic system by developing a mathematical model for the relationship between measred responses of the system (otpts) and measred external demands (inpts) to the system. For applications to bildings, system identification can be sed to estimate modal freqencies, damping ratios, mode shapes and participation coefficients based on recordings of system vibrations (e.g., Safa, 1991). Depending on the selected inpt-otpt and motions, modal vibration parameters can be identified that describe the behavior of the sperstrctre alone, or the soil-fondation-strctre system. Fndamental-mode freqencies and damping ratios are distinct for the two base fixity conditions. The differences, sch as the ratio of ible/fixed base fndamental mode periods, are a sefl qantification of the significance of Soil-Strctre Interaction (SSI) effects. In this paper, we first describe a new freqency domain system identification procedre to evalate fixed- and ible-base modal properties. The model contains nnown modal freqencies and damping ratios that are estimated sing resonance considerations throgh a graphical scheme referred to as bisector method. The procedre can be applied for analysis of either earthqae data or forced vibration test data. We validate the reslts of the simplified bisector method for synthetic data for which both earthqae and forced vibration test data are available.. THEORY OF EVALUATION OF SSI EFFECTS USING BISECTOR METHOD We first examine a linear, ndamped, mlti degree-of-freedom (MDOF) system with an external shaer force applied at the roof of the strctre. The concept can be easily extended to incorporate fondation compliance, as shown sbseqently. The relative displacements or rotations of each of the n degrees-of-freedom (DOFs) in the strctre relative to the base are described by an n 1 vector U, with corresponding velocity and acceleration vectors U and U, respectively. In matrix form, the wellnown eqation of motion of the sperstrctre can be written as:
2 m K 1b 1 Fsh 0 Mb Ub Kb1 Kbb Ub 0 (1) We have partitioned the matrices to isolate the top DOF on the strctre, so 11 is a 1x1 matrix, and sqare matrix K bb is of ran n-1 x n-1. We can apply the Forier transform to the EOM, casing and its derivatives to be freqency dependent, which is noted with an overbar. By converting the terms from accelerations to displacements, we can move the elements of M b from the mass matrix to the stiffness matrix. This yields the eqation: U b m K 1b 1 Fsh b b1 bb 0 0 U K K Mb Ub 0 () that leaves s with jst a single nodal mass in the mass matrix and allows s to perform algebraic ( static ) condensation to redce the matrices to a single eqivalent degree-of-freedom (SDOF) system. After trivial algebraic operations the condensed eqation of motion is: 1 m b bb b1 1 Fsh K K M K (3) In light of the elementary relation 0 / m (4) the fndamental freqency of the system at hand can be determined from Eqation (3) as: 1 / 0 11 K1b Kbb Mb K b1 m1 (5) It shold be noted that 0 is dependent on. By definition the resonant condition of the ndamped SSI system is reached when the freqency of response is eqal to the freqency of excitation If we loo for soltions for which the two freqencies coincide, there are n distinct vales that will satisfy this condition for a mass matrix of ran n, which correspond to the n fndamental freqencies. As shown in Figre 1, we can graphically solve for the resonant freqencies of the system by plotting the resonant freqency from Eqation (5) as a fnction of the freqency of demand (red line). We plot a bisector line (blac line) that indicates points at which both freqencies are identical, which are interpreted as the resonant freqencies.
3 Figre 1. Schematic of bisector soltion for identifying resonant freqency of a two DOF ndamped system Let s now consider a damped MDOF system with a compliant fondation as shown in Figre the strctre consists of n strctral masses (m s,i ), pls two fondation degrees of freedom. The strctre is sbjected to an external harmonic force F sh (e.g., imposed by a shaer) acting at the roof node having mass m s,n. The compliance of the soil is modeled throgh freqency-dependent springs, x, and yy that enable fondation translation ( f ) and rotation (θ f ), respectively. The soil-strctre interaction is modeled by complex-valed springs of nnown modls i,j, which can be written in the form: ( 1i ) (6) where is the spring stiffness and the dimensionless damping ratio. The displacement at the nth degree of freedom, the top of the strctre, is denoted by st,n. The displacement is measred relative to an nmoving point on the grond. Figre. A simple SSI System sbjected to forced vibration at roof node The eqations of motion can be written in matrix form:
4 ms, n st, n 0 m s,1 0 0 st,1 0 0 If 0 f m f f 1,1 1, n 1, n1 1, n st, n Fsh n n n n n,1,, 1 n, n st,1 0 n1,1 n1, n n1, n1 n1, n f 0 n,1 n, n n, n1 n, n f 0 (7) By converting to the freqency domain, rearranging terms, and performing static condensation as illstrated above, the system can be redced to an eqivalent SDOF one described by the eqation of motion m F (8) s, n st, n st, n sh Here is the complex-valed stiffness of the ible base SSI system. Assming mass m s,n is nown, we can solve Eqation (8) for the stiffness of the ible base soilstrctre system: F m st, n sh s, n st (9) By writing in the complex form as in Eqation (6) one can solve for spring modls Re( ) (10) where Re( ) denotes real part. Sbstitting into Eqation (4) and dividing by (π) gives the freqency-dependent n-damped natral freqency of the system: f 0 1 m sn, 1/ (11) Note that a single mass, m s,n, is sed in the above expression becase the algebraic condensation has moved all other masses into the stiffness matrix. In the same spirit, writing in the complex form as in Eqation (6) and rearranging term, yields the effective freqency dependant damping ratio of the SSI system in the form: 1 s Imag( ) (1)
5 In this formlation the resonant freqency of the strctre is dependent on the freqency of the excitation becase is dependent on the excitation (shaer) freqency. As previosly shown in Figre 1, we can graphically solve for the resonant freqencies of the system by plotting the resonant freqency from Eqation (11) as a fnction of the freqency of demand (red line). We plot a bisector line (blac line) that indicates points at which both freqencies are identical. By identifying the point(s) at which the freqency fnction and the bisector intersect, we can identify freqencies of resonance. Once the resonant freqencies are identified the appropriate damping can then be recognized by selecting beta at the identified resonant freqency. The freqencies identified throgh this process are n-damped freqencies of vibration, which are related to damped freqencies throgh the well-nown relation (Chopra, 007): d 0 1 (13) The above derivation provides a method for evalating the stiffness and damping for a ible base SSI system. New inpts and otpts are needed to derive the stiffness and damping of the strctre nder fixed base conditions. To illstrate how the appropriate inpt-otpts can be selected, we trn or attention to a simple system consisting of two springs in series, with stiffnesses of 1 and, sbjected to force, F. Springs 1 and experience deformations, 1 and respectively. We can show that: total total (14) Where total is the sm of the two spring displacements, and total is the stiffness of the system. Eqation (14) provides a direct relation between the stiffness of a single component spring and the stiffness of the total system. This indicates that as long as we measre the total displacement of the system and the relative deformation of one spring of interest, we can solve for the stiffness of the other component spring from the stiffness of the total system. Retrning to the MDOF SSI system, in order to determine the fixed base modal parameters, we frame the eqations of motion so that the stiffness of the strctre alone appears. It is convenient to formlate the eqations of motion in terms of the translation of the strctre relative to the fondation translations and rocing. H (15) sr,n st,n f f The ible base stiffness can be thoght of as the total stiffness of a system consisting of soil springs and a strctre spring. If we tae to be analogos to total, and the combined effects of fondation rotation and translation to be analogos to 1, then the stiffness of the strctre alone,, is analogos to. By applying Eqation (14), we can then solve for : st,n fixed (16) sr,n If we sbstitte Eqation (16) into Eqation (8) we find: m F (17) s, n st, n fixed sr, n sh We can solve this eqation for the stiffness of the fixed base soil-strctre system as:
6 fixed Fsh ms, n st, n (18) sr, n The stiffness of the fixed base strctre can be sed to solve for the natral freqency and damping in the same manner as for the ible base case. It is sometimes of se to investigate the strctre as if it were allowed to roc, bt was fixed against translation. Following prior convention (Stewart and Fenves, 1998), we call this the psedo-ible base case. More information abot the derivation of stiffness eqations for this case can be fond in Star, (011)..1 Fixed and Flexible Base Parameters for Earthqae Loading of a System To extend the method developed above for earthqae loading, we consider an MDOF SSI system with a compliant fondation similar to the one illstrated in Figre Error! Reference sorce not fond.. The eqation of motion of a strctre sbjected to earthqae loading is given by (Chopra, 007) as: MU( t) KU( t) M1 ( t) (19) g where 1 is a vector with ones for each of the strctre translational degrees of freedom along the direction of shaing and zeros for all other degrees of freedom, and ü g is the appropriate grond acceleration, which is discssed in more detail below. The strctre consists of n strctral masses (m s,i ), pls two fondation degrees of freedom. The compliance of the soil is modeled throgh springs, x, and yy, that enable fondation translation ( f ) and rotation (θ f ) respectively. The soil springs are complex-valed. The displacements and accelerations on the left side of the eqations are given relative to the grond. The earthqae forces can be transferred to the left side of the eqations and we can rewrite the acceleration vector in terms of absolte displacements where: (0) T s, n st, n g By converting to the freqency domain, rearranging terms, and performing static condensation as illstrated in the previos sections, the system can be redced to an eqivalent SDOF system, with an eqation of motion eqal to: m T T s, n s, n s, n 0 (1) where is now a fictitios stiffness for degree of freedom n that acconts for all of the deformations within the strctral system as well as grond displacements g. As in the forced vibration case we are interested in solving for the fixed, ible and psedo-ible base system stiffness terms. Recalling Eqation (14), we can find as a fnction of, the absolte displacement at the top of the strctre, and the total displacement at the top of the strctre relative to the grond: T s,n () st,n
7 If we sbstitte Eqation () into Eqation (1) we find: T s, n st, n st, n m 0 (3) We can solve this eqation for the stiffness of the ible base soil-strctre system as: m st, n T s, n s, n (4) Here is the complex-valed stiffness term for the ible base SSI system. We can also develop eqations similar to (4) for the fixed base cases: fixed ms,n sr T s (5) As was shown for the forced vibration case in Eqations (11) and (1), by writing, and fixed in the complex form we can separate the real from the imaginary portion of the complex stiffness and we can solve for the freqency and damping of the SSI system. Unlie in the forced vibration loading case, the strctre mass cancels ot of the eqations for freqency and damping, maing the calclations more robst. One potential pitfall is that the calclations are dependent on the inematically appropriate grond motion. Grond motions are altered by the presence of the fondation, so that the grond motions that the strctre experiences are not identical to the free-field grond motions (Kim and Stewart, 003). It is difficlt to determine the tre grond motion experienced by the fondation experimentally. There will be some error introdced to the reslts if the measred free-field motion is sbstitted. 3. VERIFICATION OF IDENTIFICATION METHODS USING MODELED DATA We can validate the methods of system identification described above by generating simlated data from comptational models of soil-fondation-strctre systems. Responses from these modeled strctres are ideal for testing the method becase the strctres have nown properties and can be analyzed sing traditional methods to identify ible and fixed base modal parameters. The first model developed is a simple SDOF strctre on top of a fondation with translational and rotational soil springs. The soil stiffness and damping are modeled sing freqency dependant theoretical soil springs as developed by Pais and Kasel, (1988), with an addition hysteretic soil material damping. The strctre is assigned a nown stiffness, and hysteretic strctral damping. Table 1 gives the soil and strctre properties sed in the model. The system is excited by a broadband excitation fnction at the top strctre node. Translation and rotation accelerations at the fondation were compted as well as roof translation. Table 1. SSI system modeling parameters (B = footing width, L= footing length, D=embedment) Soil Parameters Strctre Parameters Fondation Parameters V s = 110 m/s = 1.73 Mg/m 3 = 0.45 soil = % G = 1.98 x 10 4 KN/m K x, yy, x, yy from Pais and Kasel, 1988 m s = 6.98 Mg H =.9 m EI = 3.8 x 10 7 KN m strctre = % m f = Mg B =.13 m L = 4.6 m H f = 0.6 m D = 0
8 Figre 3 shows the graphical otpt of the bisector system identification procedre for ible-base conditions [Eqations (11) and (1)], and the analogos eqations for the psedo-ible and fixed base conditions. The intersection of the natral freqency crve and the bisector for the ible base case indicates the first mode freqency. Table smmarizes the reslting freqencies and damping ratios. The fndamental freqency reslts of the system identification procedre can be checed against the reslts of a classical eigenvale analysis (neglecting damping matrix) of the modeled strctre with a ible base and the modeled strctre nder fixed base, and psedo-ible conditions. The identification procedre had a discrepancy of abot 1% or less compared to the eigenvale analysis. The fixed base system identification procedre provides a damping of %, which is consistent with the strctre damping employed in the model. Figre 3. Bisector identification of freqency and damping for forced vibration (FV) loading of a SDOF modeled strctre for (a) ible base, (b) psedo-ible base and (c) fixed base conditions.
9 Table. Freqency and damping from the bisector system identification procedre and traditional eigenvale analysis of 1 DOF modeled strctre: Flexible Psedo- Flexible Fixed T / T f Freqency FV (Hz) Bisector System ID FV (%) Freqency EQ (Hz) EQ (%) Eigen Freqency (Hz) The same simple SSI strctre can also be excited with a broadband earthqae excitation. The procedre for system identification of an earthqae excited strctre can be applied. The reslts of the graphical otpt for the bisector method are shown in Figre 4. As this is the same strctre as examined previosly, we expect to find approximately the same freqency and damping for each base fixity condition. The reslts for the Eigen analysis, and the graphical identification methods are tablated in Table 3. The system identification method for the earthqae loading prodces the same damping vale for the fixed base case as the forced vibration cases and marginally smaller damping levels for the other base fixity conditions. Figre 4. Bisector identification of freqency and damping for earthqae (EQ) loading of a SDOF modeled strctre for: (a) ible base, (b) psedo-ible base and (c) fixed base conditions.
10 Table 3. Freqency and damping from the bisector system identification procedre and traditional eigenvale analysis of three DOF modeled strctre (assming i =%) Flexible Psedo- Fixed T / T f Bisector System ID Flexible Freqency FV (Hz) FV Eigen Analysis Freqency EQ (Hz) EQ Freqency (Hz) DISCUSSION AND CONCLUSIONS A simple, physically-motivated procedre was presented to identify freqency-dependent effective stiffness and damping of strctral systems for SSI applications. The method tilizes a graphical bisector scheme to identify fndamental freqency and damping for the ible base, psedo-ible base and fixed base behavior of a strctre, withot the formidable mathematics associated with system identification theory. Implementation of the procedre reqires measrements of horizontal displacements at the roof and fondation level of the strctre, vertical fondation displacements (from which rotations are derived), shaer forces, and limited system masses. The procedre is applied for compter-simlated strctres. The strctre was loaded by forced vibration and earthqae excitation, allowing comparisons of the reslts from both methods. The system identification procedre provides reasonable estimates of system freqency and damping for strctres with relatively low levels of damping. The error in the first mode freqency for most strctre system will be very small. The error may limit possibility of identifying higher modes in some cases. In order to identify the ible base freqency and damping for the earthqae loading case it is necessary to now the fondation inpt motion, however this motion is difficlt to measre experimentally. There will be some error introdced to the reslts becase the measred free-field motion will sally be sbstitted. REFERENCES Chopra, A. K. (007). Dynamics of Strctres: Prentice Hall International Series in Civil Engineering and Engineering Mechanics. Kim, S., and Stewart, J. P. (003). Kinematic Soil-Strctre Interaction from Strong Grond Motion Recordings. Jornal of Geotechnical and Geoenvironmental Engineering, 19:4, doi: //asce/ /003/19:4/33. Pais, A., and Kasel, E. (1988). Approximate Formlas for Dynamic Stiffness of Rigid Fondations. Soil Dynamics and Earthqae Engineering, 7 (4), Safa, E. (1991). Identification of Linear Strctres Using Discrete-Time Filters. Jonal of Strctral Engineering, 117:10, Star, L. M. (011). Seismic Vlnerability of Strctres: Demand Characteristics and Field Testing to Evalated Soi-Strctre Interaction Effects, Department Civil and Environmental Engineering, University of California, Los Angeles. Stewart, J. P., and Fenves, G. L. (1998). System Identification for Evalating Soil-Strctre Interaction Effects in Bildings from Strong Grond Motion Recordings. Earthqae Engineering and Strctral Dynamics, 7,
System identification of buildings equipped with closed-loop control devices
System identification of bildings eqipped with closed-loop control devices Akira Mita a, Masako Kamibayashi b a Keio University, 3-14-1 Hiyoshi, Kohok-k, Yokohama 223-8522, Japan b East Japan Railway Company
More informationSareban: Evaluation of Three Common Algorithms for Structure Active Control
Engineering, Technology & Applied Science Research Vol. 7, No. 3, 2017, 1638-1646 1638 Evalation of Three Common Algorithms for Strctre Active Control Mohammad Sareban Department of Civil Engineering Shahrood
More informationLecture Notes: Finite Element Analysis, J.E. Akin, Rice University
9. TRUSS ANALYSIS... 1 9.1 PLANAR TRUSS... 1 9. SPACE TRUSS... 11 9.3 SUMMARY... 1 9.4 EXERCISES... 15 9. Trss analysis 9.1 Planar trss: The differential eqation for the eqilibrim of an elastic bar (above)
More informationChapter 2 Introduction to the Stiffness (Displacement) Method. The Stiffness (Displacement) Method
CIVL 7/87 Chater - The Stiffness Method / Chater Introdction to the Stiffness (Dislacement) Method Learning Objectives To define the stiffness matrix To derive the stiffness matrix for a sring element
More informationFEA Solution Procedure
EA Soltion Procedre (demonstrated with a -D bar element problem) EA Procedre for Static Analysis. Prepare the E model a. discretize (mesh) the strctre b. prescribe loads c. prescribe spports. Perform calclations
More informationAdvanced topics in Finite Element Method 3D truss structures. Jerzy Podgórski
Advanced topics in Finite Element Method 3D trss strctres Jerzy Podgórski Introdction Althogh 3D trss strctres have been arond for a long time, they have been sed very rarely ntil now. They are difficlt
More informationElements of Coordinate System Transformations
B Elements of Coordinate System Transformations Coordinate system transformation is a powerfl tool for solving many geometrical and kinematic problems that pertain to the design of gear ctting tools and
More informationSection 7.4: Integration of Rational Functions by Partial Fractions
Section 7.4: Integration of Rational Fnctions by Partial Fractions This is abot as complicated as it gets. The Method of Partial Fractions Ecept for a few very special cases, crrently we have no way to
More informationFormal Methods for Deriving Element Equations
Formal Methods for Deriving Element Eqations And the importance of Shape Fnctions Formal Methods In previos lectres we obtained a bar element s stiffness eqations sing the Direct Method to obtain eact
More information1 Differential Equations for Solid Mechanics
1 Differential Eqations for Solid Mechanics Simple problems involving homogeneos stress states have been considered so far, wherein the stress is the same throghot the component nder std. An eception to
More informationSetting The K Value And Polarization Mode Of The Delta Undulator
LCLS-TN-4- Setting The Vale And Polarization Mode Of The Delta Undlator Zachary Wolf, Heinz-Dieter Nhn SLAC September 4, 04 Abstract This note provides the details for setting the longitdinal positions
More informationSubstructure Finite Element Model Updating of a Space Frame Structure by Minimization of Modal Dynamic Residual
1 Sbstrctre Finite Element Model Updating of a Space Frame Strctre by Minimization of Modal Dynamic esidal Dapeng Zh, Xinn Dong, Yang Wang, Member, IEEE Abstract This research investigates a sbstrctre
More informationIII. Demonstration of a seismometer response with amplitude and phase responses at:
GG5330, Spring semester 006 Assignment #1, Seismometry and Grond Motions De 30 Janary 006. 1. Calibration Of A Seismometer Using Java: A really nifty se of Java is now available for demonstrating the seismic
More informationModelling by Differential Equations from Properties of Phenomenon to its Investigation
Modelling by Differential Eqations from Properties of Phenomenon to its Investigation V. Kleiza and O. Prvinis Kanas University of Technology, Lithania Abstract The Panevezys camps of Kanas University
More informationLateral Load Capacity of Piles
Lateral Load Capacity of Piles M. T. DAVSSON, Department of Civil Engineering, University of llinois, Urbana Pile fondations sally find resistance to lateral loads from (a) passive soil resistance on the
More informationSecond-Order Wave Equation
Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order
More informationFEA Solution Procedure
EA Soltion Procedre (demonstrated with a -D bar element problem) MAE 5 - inite Element Analysis Several slides from this set are adapted from B.S. Altan, Michigan Technological University EA Procedre for
More informationA Model-Free Adaptive Control of Pulsed GTAW
A Model-Free Adaptive Control of Plsed GTAW F.L. Lv 1, S.B. Chen 1, and S.W. Dai 1 Institte of Welding Technology, Shanghai Jiao Tong University, Shanghai 00030, P.R. China Department of Atomatic Control,
More informationSOIL NON-LINEAR BEHAVIOR AND HYSTERETIC DAMPING IN THE SPRING-DASHPOT ANALOG
SOIL NON-LINEAR BEHAVIOR AND HYSTERETIC DAMPING IN THE SPRING-DASHPOT ANALOG Nikolaos OROLOGOPOULOS 1 and Dimitrios LOUKIDIS 2 ABSTRACT This paper presents reslts from nmerical simlations of footing vibration
More informationStep-Size Bounds Analysis of the Generalized Multidelay Adaptive Filter
WCE 007 Jly - 4 007 London UK Step-Size onds Analysis of the Generalized Mltidelay Adaptive Filter Jnghsi Lee and Hs Chang Hang Abstract In this paper we analyze the bonds of the fixed common step-size
More informationGeometric Image Manipulation. Lecture #4 Wednesday, January 24, 2018
Geometric Image Maniplation Lectre 4 Wednesda, Janar 4, 08 Programming Assignment Image Maniplation: Contet To start with the obvios, an image is a D arra of piels Piel locations represent points on the
More informationChapter 1: Differential Form of Basic Equations
MEG 74 Energ and Variational Methods in Mechanics I Brendan J. O Toole, Ph.D. Associate Professor of Mechanical Engineering Howard R. Hghes College of Engineering Universit of Nevada Las Vegas TBE B- (7)
More informationPrandl established a universal velocity profile for flow parallel to the bed given by
EM 0--00 (Part VI) (g) The nderlayers shold be at least three thicknesses of the W 50 stone, bt never less than 0.3 m (Ahrens 98b). The thickness can be calclated sing Eqation VI-5-9 with a coefficient
More informationLumped-Parameter Model for Foundation on Layer
Missori University of Science and Technology Scholars' Mine International Conferences on Recent Advances in Geotechnical Earthqake Engineering and Soil Dynamics 1991 - Second International Conference on
More informationStudy on the impulsive pressure of tank oscillating by force towards multiple degrees of freedom
EPJ Web of Conferences 80, 0034 (08) EFM 07 Stdy on the implsive pressre of tank oscillating by force towards mltiple degrees of freedom Shigeyki Hibi,* The ational Defense Academy, Department of Mechanical
More informationTechnical Note. ODiSI-B Sensor Strain Gage Factor Uncertainty
Technical Note EN-FY160 Revision November 30, 016 ODiSI-B Sensor Strain Gage Factor Uncertainty Abstract Lna has pdated or strain sensor calibration tool to spport NIST-traceable measrements, to compte
More informationThe spreading residue harmonic balance method for nonlinear vibration of an electrostatically actuated microbeam
J.L. Pan W.Y. Zh Nonlinear Sci. Lett. Vol.8 No. pp.- September The spreading reside harmonic balance method for nonlinear vibration of an electrostatically actated microbeam J. L. Pan W. Y. Zh * College
More informationTheoretical and Experimental Implementation of DC Motor Nonlinear Controllers
Theoretical and Experimental Implementation of DC Motor Nonlinear Controllers D.R. Espinoza-Trejo and D.U. Campos-Delgado Facltad de Ingeniería, CIEP, UASLP, espinoza trejo dr@aslp.mx Facltad de Ciencias,
More informationFREQUENCY DOMAIN FLUTTER SOLUTION TECHNIQUE USING COMPLEX MU-ANALYSIS
7 TH INTERNATIONAL CONGRESS O THE AERONAUTICAL SCIENCES REQUENCY DOMAIN LUTTER SOLUTION TECHNIQUE USING COMPLEX MU-ANALYSIS Yingsong G, Zhichn Yang Northwestern Polytechnical University, Xi an, P. R. China,
More informationClassify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.
Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports
More informationCHAPTER 8 ROTORS MOUNTED ON FLEXIBLE BEARINGS
CHAPTER 8 ROTORS MOUNTED ON FLEXIBLE BEARINGS Bearings commonly sed in heavy rotating machine play a significant role in the dynamic ehavior of rotors. Of particlar interest are the hydrodynamic earings,
More informationSources of Non Stationarity in the Semivariogram
Sorces of Non Stationarity in the Semivariogram Migel A. Cba and Oy Leangthong Traditional ncertainty characterization techniqes sch as Simple Kriging or Seqential Gassian Simlation rely on stationary
More informationFRTN10 Exercise 12. Synthesis by Convex Optimization
FRTN Exercise 2. 2. We want to design a controller C for the stable SISO process P as shown in Figre 2. sing the Yola parametrization and convex optimization. To do this, the control loop mst first be
More informationA State Space Based Implicit Integration Algorithm. for Differential Algebraic Equations of Multibody. Dynamics
A State Space Based Implicit Integration Algorithm for Differential Algebraic Eqations of Mltibody Dynamics E. J. Hag, D. Negrt, M. Ianc Janary 28, 1997 To Appear Mechanics of Strctres and Machines Abstract.
More informationEffects of Soil Spatial Variability on Bearing Capacity of Shallow Foundations
Geotechnical Safety and Risk V T. Schweckendiek et al. (Eds.) 2015 The athors and IOS Press. This article is pblished online with Open Access by IOS Press and distribted nder the terms of the Creative
More informationCalculations involving a single random variable (SRV)
Calclations involving a single random variable (SRV) Example of Bearing Capacity q φ = 0 µ σ c c = 100kN/m = 50kN/m ndrained shear strength parameters What is the relationship between the Factor of Safety
More informationUNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL
8th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING - 19-1 April 01, Tallinn, Estonia UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL Põdra, P. & Laaneots, R. Abstract: Strength analysis is a
More informationDevelopment of Second Order Plus Time Delay (SOPTD) Model from Orthonormal Basis Filter (OBF) Model
Development of Second Order Pls Time Delay (SOPTD) Model from Orthonormal Basis Filter (OBF) Model Lemma D. Tfa*, M. Ramasamy*, Sachin C. Patwardhan **, M. Shhaimi* *Chemical Engineering Department, Universiti
More informationA FIRST COURSE IN THE FINITE ELEMENT METHOD
INSTRUCTOR'S SOLUTIONS MANUAL TO ACCOMANY A IRST COURS IN TH INIT LMNT MTHOD ITH DITION DARYL L. LOGAN Contents Chapter 1 1 Chapter 3 Chapter 3 3 Chapter 17 Chapter 5 183 Chapter 6 81 Chapter 7 319 Chapter
More informationThe Dual of the Maximum Likelihood Method
Department of Agricltral and Resorce Economics University of California, Davis The Dal of the Maximm Likelihood Method by Qirino Paris Working Paper No. 12-002 2012 Copyright @ 2012 by Qirino Paris All
More informationChapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS
Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS 3. System Modeling Mathematical Modeling In designing control systems we mst be able to model engineered system dynamics. The model of a dynamic system
More informationAN ISOGEOMETRIC SOLID-SHELL FORMULATION OF THE KOITER METHOD FOR BUCKLING AND INITIAL POST-BUCKLING ANALYSIS OF COMPOSITE SHELLS
th Eropean Conference on Comptational Mechanics (ECCM ) 7th Eropean Conference on Comptational Flid Dynamics (ECFD 7) 5 Jne 28, Glasgow, UK AN ISOGEOMETRIC SOLID-SHELL FORMULATION OF THE KOITER METHOD
More information3.4-Miscellaneous Equations
.-Miscellaneos Eqations Factoring Higher Degree Polynomials: Many higher degree polynomials can be solved by factoring. Of particlar vale is the method of factoring by groping, however all types of factoring
More informationEVALUATION OF GROUND STRAIN FROM IN SITU DYNAMIC RESPONSE
13 th World Conference on Earthqake Engineering Vancover, B.C., Canada Agst 1-6, 2004 Paper No. 3099 EVALUATION OF GROUND STRAIN FROM IN SITU DYNAMIC RESPONSE Ellen M. RATHJE 1, Wen-Jong CHANG 2, Kenneth
More informationNonlinear parametric optimization using cylindrical algebraic decomposition
Proceedings of the 44th IEEE Conference on Decision and Control, and the Eropean Control Conference 2005 Seville, Spain, December 12-15, 2005 TC08.5 Nonlinear parametric optimization sing cylindrical algebraic
More informationEvaluation of the Fiberglass-Reinforced Plastics Interfacial Behavior by using Ultrasonic Wave Propagation Method
17th World Conference on Nondestrctive Testing, 5-8 Oct 008, Shanghai, China Evalation of the Fiberglass-Reinforced Plastics Interfacial Behavior by sing Ultrasonic Wave Propagation Method Jnjie CHANG
More information3 2D Elastostatic Problems in Cartesian Coordinates
D lastostatic Problems in Cartesian Coordinates Two dimensional elastostatic problems are discssed in this Chapter, that is, static problems of either plane stress or plane strain. Cartesian coordinates
More informationA Macroscopic Traffic Data Assimilation Framework Based on Fourier-Galerkin Method and Minimax Estimation
A Macroscopic Traffic Data Assimilation Framework Based on Forier-Galerkin Method and Minima Estimation Tigran T. Tchrakian and Sergiy Zhk Abstract In this paper, we propose a new framework for macroscopic
More information1. State-Space Linear Systems 2. Block Diagrams 3. Exercises
LECTURE 1 State-Space Linear Sstems This lectre introdces state-space linear sstems, which are the main focs of this book. Contents 1. State-Space Linear Sstems 2. Block Diagrams 3. Exercises 1.1 State-Space
More informationPulses on a Struck String
8.03 at ESG Spplemental Notes Plses on a Strck String These notes investigate specific eamples of transverse motion on a stretched string in cases where the string is at some time ndisplaced, bt with a
More information1 JAXA Special Pblication JAXA-SP-1-E Small-scale trblence affects flow fields arond a blff body and therefore it governs characteristics of cross-sec
First International Symposim on Fltter and its Application, 1 11 IEXPERIMENTAL STUDY ON TURBULENCE PARTIAL SIMULATION FOR BLUFF BODY Hiroshi Katschi +1 and Hitoshi Yamada + +1 Yokohama National University,
More informationJ.A. BURNS AND B.B. KING redced order controllers sensors/actators. The kernels of these integral representations are called fnctional gains. In [4],
Jornal of Mathematical Systems, Estimation, Control Vol. 8, No. 2, 1998, pp. 1{12 c 1998 Birkhaser-Boston A Note on the Mathematical Modelling of Damped Second Order Systems John A. Brns y Belinda B. King
More informationAn Investigation into Estimating Type B Degrees of Freedom
An Investigation into Estimating Type B Degrees of H. Castrp President, Integrated Sciences Grop Jne, 00 Backgrond The degrees of freedom associated with an ncertainty estimate qantifies the amont of information
More informationEXPT. 5 DETERMINATION OF pk a OF AN INDICATOR USING SPECTROPHOTOMETRY
EXPT. 5 DETERMITIO OF pk a OF IDICTOR USIG SPECTROPHOTOMETRY Strctre 5.1 Introdction Objectives 5.2 Principle 5.3 Spectrophotometric Determination of pka Vale of Indicator 5.4 Reqirements 5.5 Soltions
More informationInterrogative Simulation and Uncertainty Quantification of Multi-Disciplinary Systems
Interrogative Simlation and Uncertainty Qantification of Mlti-Disciplinary Systems Ali H. Nayfeh and Mhammad R. Hajj Department of Engineering Science and Mechanics Virginia Polytechnic Institte and State
More informationCosmic Microwave Background Radiation. Carl W. Akerlof April 7, 2013
Cosmic Microwave Backgrond Radiation Carl W. Akerlof April 7, 013 Notes: Dry ice sblimation temperatre: Isopropyl alcohol freezing point: LNA operating voltage: 194.65 K 184.65 K 18.0 v he terrestrial
More informationFEA Solution Procedure
EA Soltion rocedre (demonstrated with a -D bar element problem) MAE - inite Element Analysis Many slides from this set are originally from B.S. Altan, Michigan Technological U. EA rocedre for Static Analysis.
More informationCurves - Foundation of Free-form Surfaces
Crves - Fondation of Free-form Srfaces Why Not Simply Use a Point Matrix to Represent a Crve? Storage isse and limited resoltion Comptation and transformation Difficlties in calclating the intersections
More informationChapter 2 Difficulties associated with corners
Chapter Difficlties associated with corners This chapter is aimed at resolving the problems revealed in Chapter, which are cased b corners and/or discontinos bondar conditions. The first section introdces
More informationDISPLACEMENT ANALYSIS OF SUBMARINE SLOPES USING ENHANCED NEWMARK METHOD
DISPLACEMENT ANALYSIS OF SUBMARINE SLOPES USING ENHANCED NEWMARK METHOD N. ZANGENEH and R. POPESCU Faclt of Engineering & Applied Science, Memorial Universit, St. John s, Newfondland, Canada A1B 3X5 Abstract
More informationMULTIOBJECTIVE OPTIMAL STRUCTURAL CONTROL OF THE NOTRE DAME BUILDING MODEL BENCHMARK *
Thi d d i h F M k 4 0 4 Earthqake Engineering and Strctral Dynamics, in press. MULTIOBJECTIVE OPTIMAL STRUCTURAL CONTROL OF THE NOTRE DAME BUILDING MODEL BENCHMARK * E. A. JOHNSON, P. G. VOULGARIS, AND
More informationAPPLICATION OF MICROTREMOR MEASUREMENTS TO EARTHQUAKE ENGINEERING
170 APPLICATION OF MICROTREMOR MEASUREMENTS TO EARTHQUAKE ENGINEERING I. M. Parton* and P. W. Taylor* INTRODUCTION Two previos papers pblished in this Blletin (Refs 1, 2) described the methods developed
More informationReflections on a mismatched transmission line Reflections.doc (4/1/00) Introduction The transmission line equations are given by
Reflections on a mismatched transmission line Reflections.doc (4/1/00) Introdction The transmission line eqations are given by, I z, t V z t l z t I z, t V z, t c z t (1) (2) Where, c is the per-nit-length
More informationMulti-Voltage Floorplan Design with Optimal Voltage Assignment
Mlti-Voltage Floorplan Design with Optimal Voltage Assignment ABSTRACT Qian Zaichen Department of CSE The Chinese University of Hong Kong Shatin,N.T., Hong Kong zcqian@cse.chk.ed.hk In this paper, we stdy
More informationIncompressible Viscoelastic Flow of a Generalised Oldroyed-B Fluid through Porous Medium between Two Infinite Parallel Plates in a Rotating System
International Jornal of Compter Applications (97 8887) Volme 79 No., October Incompressible Viscoelastic Flow of a Generalised Oldroed-B Flid throgh Poros Medim between Two Infinite Parallel Plates in
More informationApplying Fuzzy Set Approach into Achieving Quality Improvement for Qualitative Quality Response
Proceedings of the 007 WSES International Conference on Compter Engineering and pplications, Gold Coast, stralia, Janary 17-19, 007 5 pplying Fzzy Set pproach into chieving Qality Improvement for Qalitative
More informationReducing Conservatism in Flutterometer Predictions Using Volterra Modeling with Modal Parameter Estimation
JOURNAL OF AIRCRAFT Vol. 42, No. 4, Jly Agst 2005 Redcing Conservatism in Fltterometer Predictions Using Volterra Modeling with Modal Parameter Estimation Rick Lind and Joao Pedro Mortaga University of
More informationApplicability Limits of Operational Modal Analysis to Operational Wind Turbines
Applicability Limits of Operational Modal Analysis to Operational Wind Trbines D. Tcherniak +, S. Chahan +, M.H. Hansen* + Brel & Kjaer Sond and Vibration Measrement A/S Skodsborgvej 37, DK-85, Naerm,
More informationAssignment Fall 2014
Assignment 5.086 Fall 04 De: Wednesday, 0 December at 5 PM. Upload yor soltion to corse website as a zip file YOURNAME_ASSIGNMENT_5 which incldes the script for each qestion as well as all Matlab fnctions
More informationMultivariable Ripple-Free Deadbeat Control
Scholarly Jornal of Mathematics and Compter Science Vol. (), pp. 9-9, October Available online at http:// www.scholarly-jornals.com/sjmcs ISS 76-8947 Scholarly-Jornals Fll Length Research aper Mltivariable
More informationEXERCISES WAVE EQUATION. In Problems 1 and 2 solve the heat equation (1) subject to the given conditions. Assume a rod of length L.
.4 WAVE EQUATION 445 EXERCISES.3 In Problems and solve the heat eqation () sbject to the given conditions. Assme a rod of length.. (, t), (, t) (, ),, > >. (, t), (, t) (, ) ( ) 3. Find the temperatre
More informationA fundamental inverse problem in geosciences
A fndamental inverse problem in geosciences Predict the vales of a spatial random field (SRF) sing a set of observed vales of the same and/or other SRFs. y i L i ( ) + v, i,..., n i ( P)? L i () : linear
More informationSolving a System of Equations
Solving a System of Eqations Objectives Understand how to solve a system of eqations with: - Gass Elimination Method - LU Decomposition Method - Gass-Seidel Method - Jacobi Method A system of linear algebraic
More informationCreating a Sliding Mode in a Motion Control System by Adopting a Dynamic Defuzzification Strategy in an Adaptive Neuro Fuzzy Inference System
Creating a Sliding Mode in a Motion Control System by Adopting a Dynamic Defzzification Strategy in an Adaptive Nero Fzzy Inference System M. Onder Efe Bogazici University, Electrical and Electronic Engineering
More informationPrediction of Transmission Distortion for Wireless Video Communication: Analysis
Prediction of Transmission Distortion for Wireless Video Commnication: Analysis Zhifeng Chen and Dapeng W Department of Electrical and Compter Engineering, University of Florida, Gainesville, Florida 326
More informationDEPTH CONTROL OF THE INFANTE AUV USING GAIN-SCHEDULED REDUCED-ORDER OUTPUT FEEDBACK 1. C. Silvestre A. Pascoal
DEPTH CONTROL OF THE INFANTE AUV USING GAIN-SCHEDULED REDUCED-ORDER OUTPUT FEEDBACK 1 C. Silvestre A. Pascoal Institto Sperior Técnico Institte for Systems and Robotics Torre Norte - Piso 8, Av. Rovisco
More informationPHASE STEERING AND FOCUSING BEHAVIOR OF ULTRASOUND IN CEMENTITIOUS MATERIALS
PHAS STRING AND FOCUSING BHAVIOR OF ULTRASOUND IN CMNTITIOUS MATRIALS Shi-Chang Wooh and Lawrence Azar Department of Civil and nvironmental ngineering Massachsetts Institte of Technology Cambridge, MA
More informationNumerical verification of the existence of localization of the elastic energy for closely spaced rigid disks
Nmerical verification of the existence of localization of the elastic energy for closely spaced rigid disks S. I. Rakin Siberian State University of transport Rssia, 6349, Novosibirsk, Dsy Kovalchk street,
More informationFrequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend 1
Freqency Estimation, Mltiple Stationary Nonsinsoidal Resonances With Trend 1 G. Larry Bretthorst Department of Chemistry, Washington University, St. Lois MO 6313 Abstract. In this paper, we address the
More informationIntrodction Finite elds play an increasingly important role in modern digital commnication systems. Typical areas of applications are cryptographic sc
A New Architectre for a Parallel Finite Field Mltiplier with Low Complexity Based on Composite Fields Christof Paar y IEEE Transactions on Compters, Jly 996, vol 45, no 7, pp 856-86 Abstract In this paper
More informationOptimal Control, Statistics and Path Planning
PERGAMON Mathematical and Compter Modelling 33 (21) 237 253 www.elsevier.nl/locate/mcm Optimal Control, Statistics and Path Planning C. F. Martin and Shan Sn Department of Mathematics and Statistics Texas
More informationEfficient quadratic penalization through the partial minimization technique
This article has been accepted for pblication in a ftre isse of this jornal, bt has not been flly edited Content may change prior to final pblication Citation information: DOI 9/TAC272754474, IEEE Transactions
More informationAN IMPROVED VARIATIONAL MODE DECOMPOSITION METHOD FOR INTERNAL WAVES SEPARATION
3rd Eropean Signal Processing Conference (EUSIPCO AN IMPROVED VARIATIONAL MODE DECOMPOSITION METHOD FOR INTERNAL WAVES SEPARATION Jeremy Schmitt, Ernesto Horne, Nelly Pstelni, Sylvain Jobad, Philippe Odier
More informationInfluence of the Non-Linearity of the Aerodynamic Coefficients on the Skewness of the Buffeting Drag Force. Vincent Denoël *, 1), Hervé Degée 1)
Inflence of the Non-Linearity of the Aerodynamic oefficients on the Skewness of the Bffeting rag Force Vincent enoël *, 1), Hervé egée 1) 1) epartment of Material mechanics and Strctres, University of
More informationQuantum Key Distribution Using Decoy State Protocol
American J. of Engineering and Applied Sciences 2 (4): 694-698, 2009 ISSN 94-7020 2009 Science Pblications Qantm Key Distribtion sing Decoy State Protocol,2 Sellami Ali, 2 Shhairi Sahardin and,2 M.R.B.
More informationIntegration of Basic Functions. Session 7 : 9/23 1
Integration o Basic Fnctions Session 7 : 9/3 Antiderivation Integration Deinition: Taking the antiderivative, or integral, o some nction F(), reslts in the nction () i ()F() Pt simply: i yo take the integral
More informationExperimental Study of an Impinging Round Jet
Marie Crie ay Final Report : Experimental dy of an Impinging Rond Jet BOURDETTE Vincent Ph.D stdent at the Rovira i Virgili University (URV), Mechanical Engineering Department. Work carried ot dring a
More informationMechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach
Mechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach Xin Li and Anatoly B. Kolomeisky Citation: J. Chem. Phys. 39, 4406 (203);
More informationThe Real Stabilizability Radius of the Multi-Link Inverted Pendulum
Proceedings of the 26 American Control Conference Minneapolis, Minnesota, USA, Jne 14-16, 26 WeC123 The Real Stabilizability Radis of the Mlti-Link Inerted Pendlm Simon Lam and Edward J Daison Abstract
More informationModule 4. Analysis of Statically Indeterminate Structures by the Direct Stiffness Method. Version 2 CE IIT, Kharagpur
Modle Analysis of Statically Indeterminate Strctres by the Direct Stiffness Method Version CE IIT, Kharagr Lesson The Direct Stiffness Method: Trss Analysis (Contined) Version CE IIT, Kharagr Instrctional
More informationCOMPARATIVE STUDY OF ROBUST CONTROL TECHNIQUES FOR OTTO-CYCLE MOTOR CONTROL
ACM Symposim Series in Mechatronics - Vol. - pp.76-85 Copyright c 28 by ACM COMPARATIVE STUDY OF ROUST CONTROL TECHNIQUES FOR OTTO-CYCLE MOTOR CONTROL Marcos Salazar Francisco, marcos.salazar@member.isa.org
More informationSimulation Based Analysis of Two Different Control Strategies for PMSM
International Jornal of Engineering Trends and Technology (IJETT) - Volme4Isse4- April 23 Simlation Based Analysis of Two Different Control Strategies for PMSM Lindita Dhamo #, Aida Spahi #2 # Department
More informationControl Systems
6.5 Control Systems Last Time: Introdction Motivation Corse Overview Project Math. Descriptions of Systems ~ Review Classification of Systems Linear Systems LTI Systems The notion of state and state variables
More informationOptimal Control of a Heterogeneous Two Server System with Consideration for Power and Performance
Optimal Control of a Heterogeneos Two Server System with Consideration for Power and Performance by Jiazheng Li A thesis presented to the University of Waterloo in flfilment of the thesis reqirement for
More informationBridging the Gap Between Multigrid, Hierarchical, and Receding-Horizon Control
Bridging the Gap Between Mltigrid, Hierarchical, and Receding-Horizon Control Victor M. Zavala Mathematics and Compter Science Division Argonne National Laboratory Argonne, IL 60439 USA (e-mail: vzavala@mcs.anl.gov).
More informationPseudo-natural SSI frequency of coupled soil-pilestructure
Pseudo-natural SSI frequency of coupled soil-pilestructure systems E.N. Rovithis Institute of Engineering Seismology and Earthquake Engineering (ITSAK), Thessaloniki, Greece K.D. Pitilakis Department of
More informationPhysicsAndMathsTutor.com
. Two smooth niform spheres S and T have eqal radii. The mass of S is 0. kg and the mass of T is 0.6 kg. The spheres are moving on a smooth horizontal plane and collide obliqely. Immediately before the
More informationVectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2
MATH 307 Vectors in Rn Dr. Neal, WKU Matrices of dimension 1 n can be thoght of as coordinates, or ectors, in n- dimensional space R n. We can perform special calclations on these ectors. In particlar,
More informationarxiv: v1 [physics.flu-dyn] 11 Mar 2011
arxiv:1103.45v1 [physics.fl-dyn 11 Mar 011 Interaction of a magnetic dipole with a slowly moving electrically condcting plate Evgeny V. Votyakov Comptational Science Laboratory UCY-CompSci, Department
More information1 Undiscounted Problem (Deterministic)
Lectre 9: Linear Qadratic Control Problems 1 Undisconted Problem (Deterministic) Choose ( t ) 0 to Minimize (x trx t + tq t ) t=0 sbject to x t+1 = Ax t + B t, x 0 given. x t is an n-vector state, t a
More information