A CONFINEMENT MODEL OF HIGH STRENGTH CONCRETE
|
|
- Alisha Stevens
- 5 years ago
- Views:
Transcription
1 3 th World Coferece o Earthquake Egieerig Vacouver, B.C., Caada August -6, 24 Paper No. 873 A CONFINEMENT MODEL OF HIGH STRENGTH CONCRETE Nobutaka NAKAZAWA, Kazuhiko KAWASHIMA 2, Gakuho WATANABE 3, Ju-ichi SAKAI 4 SUMMARY A empirical formulatio of the lateral cofiemet effect o high stregth cocrete is proposed based o a series of uiaxial loadig tests o cocrete cyliders. A emphasis is placed to develop uloadig ad reloadig paths as well as the evelop of stress vs. strai relatios. The proposed formula ca be used to evaluate stress vs. strai relatios of the laterally cofied cocrete with a wide rage of stregth betwee 3-9 MPa. INTRODUCTION The lateral cofiemet effect o cocrete has bee studied by may researchers to evaluate the ductility capacity of reiforced cocrete colums [for example,, 2]. However the past cofiemet models were developed o the ormal stregth cocrete ad their applicatio to high stregth cocrete was ot verified. This paper presets a ew cofiemet model o high stregth cocrete with the target cylider stregth of as high as 9 MPa. A series of uiaxial compressio tests was coducted o 36 cocrete cyliders. A emphasis was placed to develop a empirical model for uloadig ad reloadig paths with various degrees of uloadigs ad reloadigs. TEST SPECIMENS AND EXPERIMENTAL SET-UP Thirty six cocrete cyliders as show i Fig. were costructed for the test. They were 6 mm tall with a diameter of 2 mm. Target cocrete stregth c was 3, 6 ad 9 MPa. We used deformed bars with a 6 mm diameter ad the yield stregth ad the stregth of 32 MPa ad 492 MPa, respectively (SD295) as both the logitudial ad ties bars. Four logitudial bars were provided i all cyliders. Tie bars were set at every 5, ad 5 mm so that the volumetric tie reiforcemet ratio ρ s is.36,.68 ad.45 %. Oly the top ad bottom of the cyliders were cofied by ties with smaller spacig. To measure compressio strais of a cylider, a acrylic bar with strai gauges at every 5 mm was embedded at the ceter [3]. This avoided the error ivolved i the strai measuremet due to imperfect cotacts or deformatio of plaster betwee a cocrete cylider ad a loadig cell. By accumulatig the Graduate Studet, Tokyo Istitute of Techology, Tokyo, Japa 2 Professor, Tokyo Istitute of Techology, Tokyo, Japa. kawasima@cv.titech.ac.jp 3 Research Associate, Tokyo Istitute of Techology, Tokuyo, Japa. Gappo@cv.titech.ac.jp 4 Postdoctoral Researcher, PEERC, Uiversity of Califoria, Berkeley, CA, USA
2 Fig. Test Specimes cc ul. ul.. 2 ul 3 Stress Stress pl. 2 cc (a) Mootoic Loadig pl. pl. 3 (b) Full Uloadigs ad Full Reloadigs Stress ul. ul.. 2 ul 3 Stress ul. i. 2 i. 3 pl. 2 ( rl, rl ) pl. pl. 3. i (c) Partial Uloadigs ad Full Reloadigs (d) Full Uloadigs ad Partial Reloadigs Fig. 2 Loadig Hysteresis strais alog the height, a averaged cylider strai was estimated by dividig the total compressio of the cylider by the etire height. The cyliders were loaded uder the displacemet cotrol by a 5 MN loadig machie. Four types of loadig were used i the test as show i Fig. 2: () mootoic loadig, (2) full uloadigs ad full reloadigs, (3) partial uloadigs ad full reloadigs, ad (4) full uloadigs ad partial reloadigs [4]. Uloadig ad reloadig were repeated -5 times at specific strais.
3 STRESS VS. STRAIN RELATIONS Failure Modes As the itesity of loadig icreased, failure of the cocrete progressed gradually i the cyliders with the target stregth c of 3 ad 6 MPa, while the cyliders with target stregth of 9 MPa failed i a brittle maer. However the cyliders with target stregth of 9 MPa did ot fail i the brittle maer whe uloadigs ad reloadigs were repeated several times just before the cocrete stress reaches the stregth cc. The post-yield behavior of the cyliders described hereiafter was evaluated uder this coditio. Stress vs. Relatios Fig. 3 shows a example of stress c vs. strai c relatio of cocrete with the target stregth c of 3 ad 9 MPa. Although the lateral cofiemet effect is ot sigificat prior to the peak stregth, it is sigificat i the post-yield rage. It is importat however to ote that such a cofiemet effect becomes ρ s =% ρ s =.45% ρ s =.68% ρ s =.36% (a) 3 MPa (b) 9 MPa Fig. 3 Stress vs. Relatio of Cocrete with a Target Stregth of 9 MPa co MPa 6MPa 9MPa by Eq.() (MPa) co Fig. 4 Stregth ad at the Stregth of Ucofied Cocrete less sigificat as the cocrete stregth icreases. Fig. 4 shows how the strai at the stregth of ucofied cocrete c depeds o the stregth c. It is importat to ote that c icreases as c icreases. Although there are may studies which reported that c was idepedet of c, it seems that this assumptio was derived from tests o the cofied cocrete with a arrow bad stregth. From Fig. 4, oe obtais
4 5 3 c =.54 c +.4 () The predicted value by Eq. () well correlates the experimetal relatio as show i Fig. 4. Fig. 5 shows the stregth cc vs. strai at the stregth cc relatio of the cofied cocrete. Both cc ad cc icrease as the lateral cofiemet ρ s sy icreases. They may be expressed as ρs sy.22 cc = c ρ s sy ρs c sy c c ρs sy.23 cc = c ρ s sy ρs c sy c c (2) (3) cc / co MPa 6MPa 9MPa by Eq. (2) cc / co MPa 6MPa 9MPa by Eq. (3) ρ s sy / c ρ s sy / c (a) Peak Stregth cc (b) at the Peak Stregth cc Fig. 5 Stregth cc ad at the Stregth cc of Cofied Cocrete Formulatio of Stress vs. Relatio of the Evelops As show i Fig. 3, the cocrete stress c approaches to a certai level of stress u (residual stress) at high strai after reachig the peak stregth. The evelop of stress c vs. strai c relatio must satisfy the followig requiremets. c = at c = d c d c = E c at c = c = cc at c = cc (4) d c d c = at c = cc c = u at c = i which, E c is the elastic modulus. As a fuctio which satisfies Eq. (4), the followig stress c vs. strai c relatio is proposed.
5 where, I this aalysis, estimated as c = u + Ec c u + Ec cc cc + cc u c cc E c = cc (6) cc u u is defied as the stress at c =.2. Based o the test results, the residual stress u cc.4.35 ρs (5) u is = (7) Fig. 6 compares the predicted ad experimetal stress c vs. strai c relatios of the cofied cocrete with the target stregth of 3 ad 9 MPa. Eq. (5) provides a good approximatio for the c vs. c relatios of the cofied cocrete with a wide rage of stregths betwee 3 ad 9 MPa. FULL UNLOADING AND FULL RELOADING PATHS Normalized Stress vs. Normalized Relatios If a full uloadig occurs from a poit at a strai ad stress ul. o a skeleto curve, the strai reaches pl. at zero stress as show i Fig. 2 (b). The, ul. ad pl. are called uloadig strai, st uloadig stress, ad st plastic strai, respectively. If the cocrete is reloaded from pl. to, the stress at ( ul. 2 ) may be smaller tha ul.. If we repeat a set of full uloadig ad full reloadig times, the -th uloadig stress ad the plastic strai become ad pl., respectively. ul. A ormalized stress ad a ormalized strai are defied here as = c ; c pl. = (8) ul. ad deterioratio rates of stress ad strai, β ad γ respectively, are defied as β ul. + ul pl. = ; γ = (9) ul. ul pl. Fig. 7 shows how the full uloadig ad full reloadig paths deped o the uloadig strai. Sice the similar results are obtaied i other cases, oly the case for c =.6 MPa ad ρ s =.36% is preseted here. It is obvious that the vs. relatio is almost liearly proportioal at small cc (.-.63), while a certai oliearity occurs at cc >.. As show i Fig. 8, the depedece of vs. relatio o ρ s is less sigificat i the rage of.45% ρ s.36%. Figs. 9 ad show the depedece of vs. relatios o the cocrete stregth c ad the umber loadig, respectively. Both the cocrete stregth c ad the umber of loadig are less sesitive to the vs. relatios. ul pl.
6 Experimet Experimet (a) c =9 MPa (b) c =3 MPa () ρ s =.45% Experimet 6 Experimet (a) c =9 MPa (b) c =3 MPa (2) ρ s =.68% Experimet 6 Experimet (a) c =9 MPa (b) c =3 MPa (3) ρ s =.36% Fig. 6 ad Experimetal Stress ad Relatio of Cofied Cocrete Based o the above clarificatio o the experimetal results, a full uloadig path of the cocrete stress c vs. strai c relatio may be represeted by disregardig ρ s, c ad depedece as ul = () where ul is a parameter which represets the degree of oliearity of stress c vs. strai c relatio, ad this may be expressed from the test results as
7 .8.6 / cc =. / cc =.324 / cc = / cc =. / cc =.324 / cc = (a) Full Uloadig Paths (b) Full Reloadig Paths () Prior to Peak Stregth ( cc <.).8 / cc =.2 / cc =.23.8 / cc =.2 / cc =.23.6 / cc =.68.6 / cc = (a) Full Uloadig Paths (b) Full Reloadig Paths (2) Post-Yield Rage ( cc >.) Fig. 7 Effect of Uloadig o the Full Uloadig ad Full Reloadig Paths.8 ρ s =.45% ρ s =.68%.8 ρ s =.45% ρ s =.68%.6 ρ s =.36%.6 ρ s =.36% (a) Full Uloadig Paths (b) Full reloadig Paths Fig. 8 Depedece of vs. Relatios o ρ s ( cc =.3) ul =.54 ta 2.2 ul cc.44 + ta () I a similar way, a full reloadig path is represeted as,
8 .8 c =9MPa c =3MPa.8 c =9MPa c =3MPa (a) Full Uloadig Paths (b) Full Reloadig Paths Fig. 9 Depedece of vs. Relatios o Cocrete Stregth c Cycle Cycle.8 2 Cycle.8 2 Cycle 3 Cycle 3 Cycle.6 4 Cycle.6 4 Cycle 5 Cycle 5 Cycle (a) Full Uloadig Paths (b) Full Reloadig Paths Fig. Depedece of vs. Relatios o the Number of Loadig where, rl c pl. = < ul. +.5 c ul pl. E ( ) rl c ul ul. (2).5 ul ul. E ul. rl = ( ul pl. ) (3) rl = ul cc ul / cc ul / cc.25 (4).25 / cc Deterioratio Coefficiets β ad γ The stress deterioratio ratio β by Eq. (9) represets the degree of deterioratio of ul. i by repeatig a set of full uloadig ad full reloadig. Fig. shows how β depeds o the uloadig strai. The stress deterioratio is sigificat whe uloadigs occur i the post-yield rage. This may be writte as
9 Stress Detorioratio Ratio β.2 9MPa ρ s =.45 9MPa ρ s =.68 9MPa ρ s =.36 3MPa ρ s =.68 by Eq. (6) by Eq (5) / cc / cc 4 5 (a) = (b) =3.2 Stress Detorioratio Ratio β 5 Stress Detorioratio Ratio β 3.2 9MPa ρ s =.46 9MPa ρ s =.7 3MPa ρ s =.7.8 9MPa ρ s = / cc 5 by Eq. (6) (c) =5 Fig. Depedece of Stress Deterioratio Ratio 9MPa ρ s =.46 9MPa ρ s =.7 3MPa ρ s =.7 9MPa ρ s =.4 β o Uloadig = 2.5 ul ul / cc cc β = ul ul / cc.25 (5) cc ul / cc ul / cc + 4(.27.33) ul. β = cc ul/ cc ul / cc (6) The values by Eqs. (5) ad (6) well correlate the experimetal results as show i Fig.. O the other had, Figs. 2 ad 3 show the depedece of plastic strai pl. ad the plastic strai ratios γ o the uloadig strais. From the results, pl. ad γ may be expressed as
10 pl. / cc 2.5 9MPa ρ s =.45 9MPa ρ s =.68 9MPa ρ s =.36 3MPa ρ s =.68.5 Plastic Ratio γ / cc Fig. 2 Depedece of Uloadig o the Plastic pl..2 9MPa ρ s =.46 9MPa ρ s =.46 9MPa ρ s =.7 9MPa ρ s =.7 3MPa ρ s =.7 3MPa ρ s =.7 9MPa ρ s =.4 9MPa ρ s =.4 by Eq. (9) / cc / cc (a) =3 (b) =5 Plastic Ratio γ 5 by Eqs. (9) Fig. 3 Depedece of Plastic Ratio γ o Uloadig =2 3 pl. cc 2.62 ul ul = cc cc (7).889 ul.827 ul cc cc ul / cc γ = ul 2.34 ul / cc.25 cc / cc (8) ul / cc + 4(.33.23) ul γ = cc ul / cc ul / cc (9)
11 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle by Eq. (2)..5.2 (a) Partial Uloadig ad Full Reloadig Paths PARTIAL UNLOADING AND FULL RELOADING PATHS Sice a partial uloadig is a part of a full uloadig path util a reloadig occurs, the partial uloadig path may be represeted by a full uloadig path by Eq. (). Cosequetly, it is eeded to formulate a full reloadig path from a reloadig poit at a stress of rl o a uloadig path. To represet where a reloadig occurs after uloaded, a parameter β ul (partial uloadig ratio) is defied as ul. β rl ul = (2) Fig. 4 (a) shows a example of the partial uloadig ad full reloadig paths with β ul =.5. Usig the ormalized stress ad strai, ad, by Eq. (8), a full reloadig path from a poit correspodig to β ul =.5 becomes as show i Fig. 4 (b). Sice the effect of repeatig partial uloadigs ad full reloadigs is less sigificat, a full reloadig path may be idealized as where ul. ( + (2) c = Erl c rl ) rl. (22) E ul rl = + ul (b) Normalized Reloadig Paths Fig. 4 Full Reloadig Paths whe Reloaded at β ul =.5 Predicted full reloadig paths by Eq. (2) agree well with the experimetal results (refer to Fig. 4(b)). rl rl FULL UNLOADING AND PARTIAL RELOADING PATHS If a cofied cocrete is subjected to a full uloadig, it reaches the plastic strai pl. at zero stress. Whe it is subjected to a reloadig from this plastic strai pl., it may follow a full reloadig path by Eq. (2). If a full uloadig occurs at a strai. i ( ul. i ul ) o this path before reachig the uloadig strai, the uloadig path has to be determied. Sice the uloadig above is the 2d uloadig if we cout the first uloadig from the uloadig strai, it is called here as the 2d iteral uloadig. The stress where the 2d uloadig occurs is called the 2d iteral uloadig stress i. 2. After the 2d iteral uloadig, the cocrete strai c reaches the 2d plastic strai pl. 2. Similarly, the stress at a iteral uloadig strai. i ad the plastic strai after a set of times full uloadig ad iteral
12 c / ul Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle..2.3 (a) Full Uloadig ad Partial Reloadig Paths partial reloadig are defied i. + ad pl. +, respectively. To represet a poit util where a iteral reloadig cotiues, a parameter γ rl (partial reloadig ratio) is defied as γ RL ul. i pl. = (23) If a set of full uloadig ad partial reloadig are repeated five times after fully uloaded, the stress c ad strai c hysteresis become as show i Fig. 5 (a) i the cofied cocrete with the target stregth c of 9 MPa ad ρ s =.68%. Other combiatios of c ad ρ s have the similar relatios. The plastic strai pl. ad the iteral uloadig stress i. do ot sigificatly deteriorate durig the repeated loadigs. This is differet to the cyclic full uloadigs ad full reloadigs, i which the plastic strai pl. ad the uloadig stress ul. deteriorate due to load reversals. This meas that the deterioratio of plastic strai pl. ad uloadig stress ul. is limited if uloadigs occur before reachig the uloadig strai. By defiig a ormalized stress i ad strai i as c i = ; i. ul c / (b) Normalized Uloadig Paths Fig. 5 Partial Uloadig Paths whe Uloaded at Iteral Uloadig Poit with i. ad i. ( γ rl =.5) pl. c pl. i = (24) ul. i pl. the uloadig paths preseted i Fig. 5 (a) becomes as show i Fig. 5 (b). The first uloadig path from a uloadig strai is preseted here as the st cycle for compariso. The ormalized uloadig paths are very close to the ormalized uloadig path from the uloadig strai. Cosequetly, by replacig ul ad i Eq. (2) by i ad. i, respectively, oe obtais rl c pl. = < i. + i.5 c ul. i (25) pl. E ( ) rl c ul. i i. i
13 Experimet (a) c =9 MPa (b) c =3 MPa Fig. 6 Applicatio of Model to Full Uloadigs ad Full Reloadigs ( ρ =.68% ) s 8 Experimet 8 Experimet Fig. 7 Applicatio of Model to Full Uloadigs ad Partial Reloadigs..2.3 Fig. 8 Applicatio of Model to Partial Uloadigs ad Full Reloadigs APPLICATION OF THE LOADING AND UNLOADING MODEL Fig. 6 shows a applicatio of the proposed model to a series of full uloadigs ad full reloadigs of the cocrete with the target cocrete stregth of 9 ad 3 MPa, ad ρ =.68 %. The proposed model provides a good estimate of the lateral cofiemet effect o the cocrete with a wide rage of stregth betwee 3 ad 9 MPa. Figs. 7 ad 8 show applicatios of the proposed model to a series of full uloadigs ad partial reloadigs ad a series of partial uloadigs ad full reloadigs, respectively, of the cocrete with =9 MPa. The models show a good agreemet with the test results. c CONCLUSIONS A empirical costitutive model for the lateral cofiemet of cocrete cyliders with a wide rage of stregth betwee 3 ad 9 MPa was developed based o a series of loadig test. Based o the results preseted herei, the followig coclusios may be deduced:
14 . The strai at the peak stregth c of the ucofied cocrete depeds o the peak stregth c, ad this depedece of c ad c ca be represeted by Eq. (). 2. The peak stregth cc ad the strai at the peak stregth cc of the cofied cocrete ca be represeted by Eqs. (2) ad (3), respectively. 3. The evelops of the stress vs. strai relatio of the cofied cocrete ca be represeted by Eq. (5). 4. Uloadig ad reloadig paths for a combiatio of full uloadigs ad full reloadigs, full uloadigs ad partial reloadigs, ad partial uloadigs ad full reloadigs ca be represeted by Eqs. (), (2), (2), ad (25). REFERENCES. Mader, J.B., Priestley, M.J.N. ad Park, R. Theoretical stress-strai model for cofied cocrete. Joural of Structural Divisio, ASCE, 988: 4(8), Hoshikuma, J., Kawashima, K., Nagaya, K. ad Taylor, A. Stress-strai model for cofied reiforced cocrete i bridge piers. Joural of Structural Egieerig, ASCE, 997: 23(5), Lertsrisakulrat, T., Wataabe, K., Matsuo, M. ad Niwa, J. Experimetal study o parameters i localizatio of cocrete subjected to compressio. Proc. JSCE, 2: 669(5), Sakai, J. ad Kawashima, K. A uloadig ad reloadig stress-strai model for cocrete cofied by tie reiforcemets. 2 WCEE, 2: Paper No. 432 (CD-ROM), New Zealad.
AN UNLOADING AND RELOADING STRESS-STRAIN MODEL FOR CONCRETE CONFINED BY TIE REINFORCEMENTS
AN UNLOADING AND RELOADING STRESS-STRAIN MODEL FOR CONCRETE CONFINED BY TIE REINFORCEMENTS Junichi SAKAI 1 And Kazuhiko KAWASHIMA SUMMARY This paper presents a series of uniaxial compressive loading tests
More informationPrinciple Of Superposition
ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give
More informationEVALUATION OF GLASS FIBER/EPOXY INTERFACIAL STRENGTH BY THE CRUCIFORM SPECIMEN METHOD
EVALUATION OF GLASS FIBER/EPOX INTERFACIAL STRENGTH B THE CRUCIFORM SPECIMEN METHOD Ju KOANAGI, Hajime KATO, Akihiro KASHIMA, uichi IGARASHI, Keichi WATANABE 3, Ichiro UENO 4 ad Shiji OGIHARA 4 Istitute
More informationPILOT STUDY ON THE HORIZONTAL SHEAR BEHAVIOUR OF FRP RUBBER ISOLATORS
Asia-Pacific Coferece o FRP i Structures (APFIS 2007) S.T. Smith (ed) 2007 Iteratioal Istitute for FRP i Costructio PILOT STUDY ON THE HORIZONTAL SHEAR BEHAVIOUR OF FRP RUBBER ISOLATORS T.B. Peg *, J.Z.
More informationNumerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem
Leoardo Joural of Scieces ISSN 1583-0233 Issue 9, July-December 2006 p. 25-32 Numerical Simulatio of Thermomechaical Problems i Applied Mechaics: Applicatio to Solidificatio Problem Vicet Obiajulu OGWUAGWU
More informationMATH/STAT 352: Lecture 15
MATH/STAT 352: Lecture 15 Sectios 5.2 ad 5.3. Large sample CI for a proportio ad small sample CI for a mea. 1 5.2: Cofidece Iterval for a Proportio Estimatig proportio of successes i a biomial experimet
More informationCEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering
CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio
More informationStatistical Analysis on Uncertainty for Autocorrelated Measurements and its Applications to Key Comparisons
Statistical Aalysis o Ucertaity for Autocorrelated Measuremets ad its Applicatios to Key Comparisos Nie Fa Zhag Natioal Istitute of Stadards ad Techology Gaithersburg, MD 0899, USA Outlies. Itroductio.
More information11 Correlation and Regression
11 Correlatio Regressio 11.1 Multivariate Data Ofte we look at data where several variables are recorded for the same idividuals or samplig uits. For example, at a coastal weather statio, we might record
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More informationDiscrete Orthogonal Moment Features Using Chebyshev Polynomials
Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical
More informationA statistical method to determine sample size to estimate characteristic value of soil parameters
A statistical method to determie sample size to estimate characteristic value of soil parameters Y. Hojo, B. Setiawa 2 ad M. Suzuki 3 Abstract Sample size is a importat factor to be cosidered i determiig
More informationTopic 9: Sampling Distributions of Estimators
Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be
More informationSTA Learning Objectives. Population Proportions. Module 10 Comparing Two Proportions. Upon completing this module, you should be able to:
STA 2023 Module 10 Comparig Two Proportios Learig Objectives Upo completig this module, you should be able to: 1. Perform large-sample ifereces (hypothesis test ad cofidece itervals) to compare two populatio
More informationFACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures
FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 5 STATISTICS II. Mea ad stadard error of sample data. Biomial distributio. Normal distributio 4. Samplig 5. Cofidece itervals
More informationThe Method of Least Squares. To understand least squares fitting of data.
The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve
More informationOn Modeling Viscous Damping in Nonlinear Dynamic Analysis of Base-Isolated Reinforced Concrete Buildings
O Modelig Viscous Dampig i Noliear Dyamic Aalysis of Base-Isolated Reiforced Cocrete Buildigs D.R. Pat & A.C. Wijeyewickrema Tokyo Istitute of Techology, Japa SUMMARY: The effects of modelig viscous dampig
More informationTopic 9: Sampling Distributions of Estimators
Topic 9: Samplig Distributios of Estimators Course 003, 2018 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be
More informationChapter 13, Part A Analysis of Variance and Experimental Design
Slides Prepared by JOHN S. LOUCKS St. Edward s Uiversity Slide 1 Chapter 13, Part A Aalysis of Variace ad Eperimetal Desig Itroductio to Aalysis of Variace Aalysis of Variace: Testig for the Equality of
More informationA proposed discrete distribution for the statistical modeling of
It. Statistical Ist.: Proc. 58th World Statistical Cogress, 0, Dubli (Sessio CPS047) p.5059 A proposed discrete distributio for the statistical modelig of Likert data Kidd, Marti Cetre for Statistical
More informationExample: Find the SD of the set {x j } = {2, 4, 5, 8, 5, 11, 7}.
1 (*) If a lot of the data is far from the mea, the may of the (x j x) 2 terms will be quite large, so the mea of these terms will be large ad the SD of the data will be large. (*) I particular, outliers
More informationComparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series
Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series
More informationAnalysis of composites with multiple rigid-line reinforcements by the BEM
Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100
More informationFailure Theories Des Mach Elem Mech. Eng. Department Chulalongkorn University
Failure Theories Review stress trasformatio Failure theories for ductile materials Maimum-Shear-Stress Theor Distortio-Eerg Theor Coulomb-Mohr Theor Failure theories for brittle materials Maimum-Normal-Stress
More informationPSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 9
Hypothesis testig PSYCHOLOGICAL RESEARCH (PYC 34-C Lecture 9 Statistical iferece is that brach of Statistics i which oe typically makes a statemet about a populatio based upo the results of a sample. I
More informationSimilarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle
Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut
More informationMATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS
6 th INTERNATIONAL MULTIDISCIPLINARY CONFERENCE MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS Istva eppler SZIE Faculty of Mechaics, H-2103 Gödöllő Páter. 1., Hugary Abstract: The mathematical
More informationComparing Two Populations. Topic 15 - Two Sample Inference I. Comparing Two Means. Comparing Two Pop Means. Background Reading
Topic 15 - Two Sample Iferece I STAT 511 Professor Bruce Craig Comparig Two Populatios Research ofte ivolves the compariso of two or more samples from differet populatios Graphical summaries provide visual
More informationTopic 9: Sampling Distributions of Estimators
Topic 9: Samplig Distributios of Estimators Course 003, 2018 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be
More informationStudying Interaction of Cotton-Raw Material with Working Bodies of Cotton-Cleaning Machines
ISSN: 35-38 Iteratioal Joural of AdvacedResearch i Sciece, Egieerig ad Techology Vol. 5, Issue, Deceber 8 Studyig Iteractio of Cotto-Raw Material with Workig Bodies of Cotto-Cleaig Machies R.H. Rosulov,
More informationA Fixed Point Result Using a Function of 5-Variables
Joural of Physical Scieces, Vol., 2007, 57-6 Fixed Poit Result Usig a Fuctio of 5-Variables P. N. Dutta ad Biayak S. Choudhury Departmet of Mathematics Begal Egieerig ad Sciece Uiversity, Shibpur P.O.:
More informationSensitivity Analysis of Daubechies 4 Wavelet Coefficients for Reduction of Reconstructed Image Error
Proceedigs of the 6th WSEAS Iteratioal Coferece o SIGNAL PROCESSING, Dallas, Texas, USA, March -4, 7 67 Sesitivity Aalysis of Daubechies 4 Wavelet Coefficiets for Reductio of Recostructed Image Error DEVINDER
More informationProbability, Expectation Value and Uncertainty
Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such
More informationThe standard deviation of the mean
Physics 6C Fall 20 The stadard deviatio of the mea These otes provide some clarificatio o the distictio betwee the stadard deviatio ad the stadard deviatio of the mea.. The sample mea ad variace Cosider
More informationABSTRACT 1. INTRODUCTION
Iwamura, Y., T. Itoh, ad M. SakaNo. Nuclear Products ad Their Time Depedece Iduced by Cotiuous Diffusio of Deuterium Through Multi-layer Palladium Cotaiig Low Work Fuctio Material. i 8th Iteratioal Coferece
More informationDISTRIBUTION LAW Okunev I.V.
1 DISTRIBUTION LAW Okuev I.V. Distributio law belogs to a umber of the most complicated theoretical laws of mathematics. But it is also a very importat practical law. Nothig ca help uderstad complicated
More informationOptimization Methods: Linear Programming Applications Assignment Problem 1. Module 4 Lecture Notes 3. Assignment Problem
Optimizatio Methods: Liear Programmig Applicatios Assigmet Problem Itroductio Module 4 Lecture Notes 3 Assigmet Problem I the previous lecture, we discussed about oe of the bech mark problems called trasportatio
More informationApproximating the ruin probability of finite-time surplus process with Adaptive Moving Total Exponential Least Square
WSEAS TRANSACTONS o BUSNESS ad ECONOMCS S. Khotama, S. Boothiem, W. Klogdee Approimatig the rui probability of fiite-time surplus process with Adaptive Movig Total Epoetial Least Square S. KHOTAMA, S.
More informationFAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES
LECTURE Third Editio FAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES A. J. Clark School of Egieerig Departmet of Civil ad Evirometal Egieerig Chapter 7.4 b Dr. Ibrahim A. Assakkaf SPRING 3 ENES
More informationFREE VIBRATIONS OF SIMPLY SUPPORTED BEAMS USING FOURIER SERIES
Abdullah : FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS USING FOURIER SERIES SAWA MUBARAK ABDUAH Assistat ecturer Uiversity of Mosul Abstract Fourier series will be
More informationStatistical Fundamentals and Control Charts
Statistical Fudametals ad Cotrol Charts 1. Statistical Process Cotrol Basics Chace causes of variatio uavoidable causes of variatios Assigable causes of variatio large variatios related to machies, materials,
More informationMOST PEOPLE WOULD RATHER LIVE WITH A PROBLEM THEY CAN'T SOLVE, THAN ACCEPT A SOLUTION THEY CAN'T UNDERSTAND.
XI-1 (1074) MOST PEOPLE WOULD RATHER LIVE WITH A PROBLEM THEY CAN'T SOLVE, THAN ACCEPT A SOLUTION THEY CAN'T UNDERSTAND. R. E. D. WOOLSEY AND H. S. SWANSON XI-2 (1075) STATISTICAL DECISION MAKING Advaced
More information, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)
Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso
More informationThe target reliability and design working life
Safety ad Security Egieerig IV 161 The target reliability ad desig workig life M. Holický Kloker Istitute, CTU i Prague, Czech Republic Abstract Desig workig life ad target reliability levels recommeded
More informationUsing An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically
ISSN -50 (Paper) ISSN 5-05 (Olie) Vol.7, No., 017 Usig A Acceleratig Method With The Trapezoidal Ad Mid-Poit Rules To Evaluate The Double Itegrals With Cotiuous Itegrads Numerically Azal Taha Abdul Wahab
More informationCUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE
CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE Ryutaro SEGAWA 1, Shizuo YAMAMOTO, Akira SONE 3 Ad Arata MASUDA 4 SUMMARY Durig a strog earthquake, the respose of a structure
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 9 Multicolliearity Dr Shalabh Departmet of Mathematics ad Statistics Idia Istitute of Techology Kapur Multicolliearity diagostics A importat questio that
More informationMeasurement uncertainty of the sound absorption
Measuremet ucertaity of the soud absorptio coefficiet Aa Izewska Buildig Research Istitute, Filtrowa Str., 00-6 Warsaw, Polad a.izewska@itb.pl 6887 The stadard ISO/IEC 705:005 o the competece of testig
More informationJournal of Computational Physics 149, (1999) Article ID jcph , available online at
Joural of Computatioal Physics 149, 418 422 (1999) Article ID jcph.1998.6131, available olie at http://www.idealibrary.com o NOTE Defiig Wave Amplitude i Characteristic Boudary Coditios Key Words: Euler
More informationAnalysis of Experimental Measurements
Aalysis of Experimetal Measuremets Thik carefully about the process of makig a measuremet. A measuremet is a compariso betwee some ukow physical quatity ad a stadard of that physical quatity. As a example,
More informationTaylor polynomial solution of difference equation with constant coefficients via time scales calculus
TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu
More informationChapter 6 Sampling Distributions
Chapter 6 Samplig Distributios 1 I most experimets, we have more tha oe measuremet for ay give variable, each measuremet beig associated with oe radomly selected a member of a populatio. Hece we eed to
More informationOverview. p 2. Chapter 9. Pooled Estimate of. q = 1 p. Notation for Two Proportions. Inferences about Two Proportions. Assumptions
Chapter 9 Slide Ifereces from Two Samples 9- Overview 9- Ifereces about Two Proportios 9- Ifereces about Two Meas: Idepedet Samples 9-4 Ifereces about Matched Pairs 9-5 Comparig Variatio i Two Samples
More information577. Estimation of surface roughness using high frequency vibrations
577. Estimatio of surface roughess usig high frequecy vibratios V. Augutis, M. Sauoris, Kauas Uiversity of Techology Electroics ad Measuremets Systems Departmet Studetu str. 5-443, LT-5368 Kauas, Lithuaia
More informationANALYSIS OF EXPERIMENTAL ERRORS
ANALYSIS OF EXPERIMENTAL ERRORS All physical measuremets ecoutered i the verificatio of physics theories ad cocepts are subject to ucertaities that deped o the measurig istrumets used ad the coditios uder
More information1 Review of Probability & Statistics
1 Review of Probability & Statistics a. I a group of 000 people, it has bee reported that there are: 61 smokers 670 over 5 960 people who imbibe (drik alcohol) 86 smokers who imbibe 90 imbibers over 5
More informationPH 425 Quantum Measurement and Spin Winter SPINS Lab 1
PH 425 Quatum Measuremet ad Spi Witer 23 SPIS Lab Measure the spi projectio S z alog the z-axis This is the experimet that is ready to go whe you start the program, as show below Each atom is measured
More informationInvestigating a new estimator of the serial correlation coefficient
Ivestigatig a ew estimator of the serial correlatio coefficiet Mafred Mudelsee Istitute of Mathematics ad Statistics Uiversity of Ket at Caterbury Caterbury Ket CT2 7NF Uited Kigdom 8 May 1998 1 Abstract
More informationENGI 4421 Confidence Intervals (Two Samples) Page 12-01
ENGI 44 Cofidece Itervals (Two Samples) Page -0 Two Sample Cofidece Iterval for a Differece i Populatio Meas [Navidi sectios 5.4-5.7; Devore chapter 9] From the cetral limit theorem, we kow that, for sufficietly
More informationOptics. n n. sin. 1. law of rectilinear propagation 2. law of reflection = 3. law of refraction
Optics What is light? Visible electromagetic radiatio Geometrical optics (model) Light-ray: extremely thi parallel light beam Usig this model, the explaatio of several optical pheomea ca be give as the
More informationCHAPTER 4 BIVARIATE DISTRIBUTION EXTENSION
CHAPTER 4 BIVARIATE DISTRIBUTION EXTENSION 4. Itroductio Numerous bivariate discrete distributios have bee defied ad studied (see Mardia, 97 ad Kocherlakota ad Kocherlakota, 99) based o various methods
More informationTRACEABILITY SYSTEM OF ROCKWELL HARDNESS C SCALE IN JAPAN
HARDMEKO 004 Hardess Measuremets Theory ad Applicatio i Laboratories ad Idustries - November, 004, Washigto, D.C., USA TRACEABILITY SYSTEM OF ROCKWELL HARDNESS C SCALE IN JAPAN Koichiro HATTORI, Satoshi
More informationANALYSIS OF DAMPING EFFECT ON BEAM VIBRATION
Molecular ad Quatum Acoustics vol. 7, (6) 79 ANALYSIS OF DAMPING EFFECT ON BEAM VIBRATION Jerzy FILIPIAK 1, Lech SOLARZ, Korad ZUBKO 1 Istitute of Electroic ad Cotrol Systems, Techical Uiversity of Czestochowa,
More information6 Sample Size Calculations
6 Sample Size Calculatios Oe of the major resposibilities of a cliical trial statisticia is to aid the ivestigators i determiig the sample size required to coduct a study The most commo procedure for determiig
More informationSubject: Differential Equations & Mathematical Modeling-III
Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso
More informationCorrelation and Regression
Correlatio ad Regressio Lecturer, Departmet of Agroomy Sher-e-Bagla Agricultural Uiversity Correlatio Whe there is a relatioship betwee quatitative measures betwee two sets of pheomea, the appropriate
More informationDYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS
DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS Ivaa Štimac 1, Ivica Kožar 1 M.Sc,Assistat, Ph.D. Professor 1, Faculty of Civil Egieerig, Uiverity of Rieka, Croatia INTRODUCTION The vehicle-iduced
More informationFree Space Optical Wireless Communications under Turbulence Channel Effect
IOSR Joural of Electroics ad Commuicatio Egieerig (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue 3, Ver. III (May - Ju. 014), PP 01-08 Free Space Optical Wireless Commuicatios uder Turbulece
More informationA NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS
Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet
More informationREGRESSION (Physics 1210 Notes, Partial Modified Appendix A)
REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data
More informationC. C. Fu, Ph.D., P.E.
ENCE710 C. C. Fu, Ph.D., P.E. Shear Coectors Desig by AASHTO RFD (RFD Art. 6.10.10) I the egative flexure regios, shear coectors shall be rovided where the logitudial reiforcemet is cosidered to be a art
More informationApplication of Dynamic Relaxation in Thermo-Elastic Structural Analysis of Highway Pavement Structures
9 th Iteratioal LS-DYNA Users Coferece Simulatio Techology () Applicatio of Dyamic Relaxatio i Thermo-Elastic Structural Aalysis of Highway Pavemet Structures Samir N. Shoukry, Gergis W. William, Mourad
More informationTESTING OF THE FORCES IN CABLE OF SUSPENSION STRUCTURE AND BRIDGES
TSTING OF TH FORCS IN CABL OF SUSPNSION STRUCTUR AND BRIDGS Zhou, M. 1, Liu, Z. ad Liu, J. 1 College of the Muicipal Techology, Guagzhou Uiversity, Guagzhou. Guagzhou Muicipal ad Ladscape gieerig Quality
More information17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)
7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.
More informationA Block Cipher Using Linear Congruences
Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &
More informationLinear regression. Daniel Hsu (COMS 4771) (y i x T i β)2 2πσ. 2 2σ 2. 1 n. (x T i β y i ) 2. 1 ˆβ arg min. β R n d
Liear regressio Daiel Hsu (COMS 477) Maximum likelihood estimatio Oe of the simplest liear regressio models is the followig: (X, Y ),..., (X, Y ), (X, Y ) are iid radom pairs takig values i R d R, ad Y
More informationStudy on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm
Joural of ad Eergy Egieerig, 05, 3, 43-437 Published Olie April 05 i SciRes. http://www.scirp.org/joural/jpee http://dx.doi.org/0.436/jpee.05.34058 Study o Coal Cosumptio Curve Fittig of the Thermal Based
More informationMicroscopic traffic flow modeling
Chapter 34 Microscopic traffic flow modelig 34.1 Overview Macroscopic modelig looks at traffic flow from a global perspective, whereas microscopic modelig, as the term suggests, gives attetio to the details
More informationSize, shape and temperature effect on nanomaterials
Idia Joural of Pure & Applied Physics Vol. 53, November 2015, pp. 768-775 Size, shape ad temperature effect o aomaterials G Sharma, S Bhatt, R Kumar & M Kumar* Departmet of Physics, G.B. Pat Uiversity
More informationChapter 22. Comparing Two Proportions. Copyright 2010 Pearson Education, Inc.
Chapter 22 Comparig Two Proportios Copyright 2010 Pearso Educatio, Ic. Comparig Two Proportios Comparisos betwee two percetages are much more commo tha questios about isolated percetages. Ad they are more
More informationTHE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS
R775 Philips Res. Repts 26,414-423, 1971' THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS by H. W. HANNEMAN Abstract Usig the law of propagatio of errors, approximated
More informationAgreement of CI and HT. Lecture 13 - Tests of Proportions. Example - Waiting Times
Sigificace level vs. cofidece level Agreemet of CI ad HT Lecture 13 - Tests of Proportios Sta102 / BME102 Coli Rudel October 15, 2014 Cofidece itervals ad hypothesis tests (almost) always agree, as log
More informationGoodness-Of-Fit For The Generalized Exponential Distribution. Abstract
Goodess-Of-Fit For The Geeralized Expoetial Distributio By Amal S. Hassa stitute of Statistical Studies & Research Cairo Uiversity Abstract Recetly a ew distributio called geeralized expoetial or expoetiated
More informationStatistics 511 Additional Materials
Cofidece Itervals o mu Statistics 511 Additioal Materials This topic officially moves us from probability to statistics. We begi to discuss makig ifereces about the populatio. Oe way to differetiate probability
More informationIf, for instance, we were required to test whether the population mean μ could be equal to a certain value μ
STATISTICAL INFERENCE INTRODUCTION Statistical iferece is that brach of Statistics i which oe typically makes a statemet about a populatio based upo the results of a sample. I oesample testig, we essetially
More informationExpectation and Variance of a random variable
Chapter 11 Expectatio ad Variace of a radom variable The aim of this lecture is to defie ad itroduce mathematical Expectatio ad variace of a fuctio of discrete & cotiuous radom variables ad the distributio
More informationWHAT IS THE PROBABILITY FUNCTION FOR LARGE TSUNAMI WAVES? ABSTRACT
WHAT IS THE PROBABILITY FUNCTION FOR LARGE TSUNAMI WAVES? Harold G. Loomis Hoolulu, HI ABSTRACT Most coastal locatios have few if ay records of tsuami wave heights obtaied over various time periods. Still
More informationResponse Variable denoted by y it is the variable that is to be predicted measure of the outcome of an experiment also called the dependent variable
Statistics Chapter 4 Correlatio ad Regressio If we have two (or more) variables we are usually iterested i the relatioship betwee the variables. Associatio betwee Variables Two variables are associated
More informationLecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting
Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would
More informationIf a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?
2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationNotes on iteration and Newton s method. Iteration
Notes o iteratio ad Newto s method Iteratio Iteratio meas doig somethig over ad over. I our cotet, a iteratio is a sequece of umbers, vectors, fuctios, etc. geerated by a iteratio rule of the type 1 f
More informationEstimation of Backward Perturbation Bounds For Linear Least Squares Problem
dvaced Sciece ad Techology Letters Vol.53 (ITS 4), pp.47-476 http://dx.doi.org/.457/astl.4.53.96 Estimatio of Bacward Perturbatio Bouds For Liear Least Squares Problem Xixiu Li School of Natural Scieces,
More informationMONITORING THE STABILITY OF SLOPES BY GPS
MONITORING THE STABILITY OF SLOPES BY GPS Prof. S. Sakurai Costructio Egieerig Research Istitute Foudatio, Japa Prof. N. Shimizu Dept. of Civil Egieerig, Yamaguchi Uiversity, Japa ABSTRACT The stability
More informationNonlinear inelastic analysis of steel-concrete composite beam-columns using the stability functions
Structural Egieerig ad Mechaics, Vol. 30, No. 6 (2008) 763-785 763 Noliear ielastic aalysis of steel-cocrete composite beam-colums usig the stability fuctios Jug-Woog Park ad Seug-Eock Kim Departmet of
More informationPaired Data and Linear Correlation
Paired Data ad Liear Correlatio Example. A group of calculus studets has take two quizzes. These are their scores: Studet st Quiz Score ( data) d Quiz Score ( data) 7 5 5 0 3 0 3 4 0 5 5 5 5 6 0 8 7 0
More informationReliability of steel flexural members according to EC in serviceability limit state
NSCC2009 Reliability of steel flexural members accordig to EC i serviceability limit state D. Hofi & A. Mårtesso Divisio of Structural Egieerig, Lud Uiversity, Lud, Swede ABSTRACT: To achieve a relatively
More informationPower and Type II Error
Statistical Methods I (EXST 7005) Page 57 Power ad Type II Error Sice we do't actually kow the value of the true mea (or we would't be hypothesizig somethig else), we caot kow i practice the type II error
More information2C09 Design for seismic and climate changes
2C09 Desig for seismic ad climate chages Lecture 02: Dyamic respose of sigle-degree-of-freedom systems I Daiel Grecea, Politehica Uiversity of Timisoara 10/03/2014 Europea Erasmus Mudus Master Course Sustaiable
More informationA NEW METHOD FOR CONSTRUCTING APPROXIMATE CONFIDENCE INTERVALS FOR M-ESTU1ATES. Dennis D. Boos
.- A NEW METHOD FOR CONSTRUCTING APPROXIMATE CONFIDENCE INTERVALS FOR M-ESTU1ATES by Deis D. Boos Departmet of Statistics North Carolia State Uiversity Istitute of Statistics Mimeo Series #1198 September,
More information