LEADER 01832cam0-2200541---450- 001 990000054380203316 005 19930618 010 $a3-211-82173-2$d73-2 035 $a0005438 035 $aUSA010005438 035 $a(ALEPH)000005438USA01 035 $a0005438 100 $a19930618d1989----|||y0itay0103----ba 101 1 $aeng 102 $aIT 105 $a||||||||001YY 200 1 $aStructural optimization under stability and vibration constraints$fedited by M. Zyczkowski 210 $aWien$aNew York$cSpringer$aUdine$cCISM$dCopyr.1989 215 $a329 p.$c24 cm 225 2 $aCourses and lectures$fInternational centre for mechanical sciences$v308 410 0$a12001$a$12001_$aCourses and lectures$fInternational centre for mechanical sciences$v308.$171202$aInternational centre for mechanical sciences$3CFIV017471 610 $aStrutture edilizie$aProgettazione 676 $a624.177$v19 702 1$aZYCZKOWSKI,$bMichal 801 $aIT$bSALBC$gISBD 912 $a990000054380203316 951 $a624.177 STR$b13567 Ing.$c624.177$dY 959 $aBK 969 $atec 979 $c20000914$lUSA01$h1724 979 $c20000919$lUSA01$h1047 979 $c20000919$lUSA01$h1520 979 $c20001019$lUSA01$h1055 979 $c20001019$lUSA01$h1452 979 $c20001019$lUSA01$h1500 979 $c20001019$lUSA01$h1537 979 $c20001024$lUSA01$h1513 979 $c20001027$lUSA01$h1518 979 $c20001027$lUSA01$h1522 979 $c20001110$lUSA01$h1709 979 $c20001124$lUSA01$h1206 979 $c20020403$lUSA01$h1613 979 $aPATRY$b90$c20040406$lUSA01$h1605 979 $aPATRY$b90$c20121106$lUSA01$h1535 996 $aStructural optimization under stability and vibration constraints$91488461 997 $aUNISA DB $aUSA01 SYS ID$a5438 LEADER 03624nam 2200721 a 450 001 9910453795003321 005 20211205211520.0 010 $a1-282-16162-8 010 $a9786612161629 010 $a90-272-9703-7 010 $a9789027297037$b(electronic bk.) 035 $a(CKB)1000000000555477 035 $a(OCoLC)70765974 035 $a(CaPaEBR)ebrary10023469 035 $a(SSID)ssj0000181981 035 $a(PQKBManifestationID)12009298 035 $a(PQKBTitleCode)TC0000181981 035 $a(PQKBWorkID)10166478 035 $a(PQKB)10815889 035 $a(MiAaPQ)EBC622709 035 $a(EXLCZ)991000000000555477 100 $a20150424d2002|||| s|| | 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aInterpreting in the 21st century$echallenges and opportunities : selected papers from the 1st Forli? Conference on Interpreting Studies, 9-11 November 2000 /$fedited by Giuliana Garzone, Maurizio Viezzi 210 $aAmsterdam $cJohn Benjamins Publishing Company$d2002 210 $cJohn Benjamins Publishing Company 215 $a1 online resource (x, 337 p.) 225 1 $aBenjamins translation library Interpreting in the 21st century ;$vvolume 43 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-58811-281-0 311 $a90-272-1649-5 330 $aThis book contains a selection of papers presented at the First Forli? Conference on Interpreting Studies, held on 9-11 November 2000, which saw the participation of leading researchers in the field. The volume offers a comprehensive overview of the current situation and future prospects in interpretation studies, and in the interpreting profession at the beginning of a new century. Topics addressed include not only theoretical and methodological issues, but also applications to training and quality. The range of subjects covered is thus broad and comprehensive. Particular attention is given to the changing profile of the profession, as different modes of interpreting "outside the booth" ? i.e. all forms of "dialogue interpreting", as well as interpreting for the media ? give rise to new and stimulating research work. The variety of papers in this volume bears witness to the wealth of different perspectives in interpreting studies today. It covers topics of interest to scholars of translation and interpretation studies, professional interpreters, and to anyone interested in language mediation in its theoretical and applied aspects. 410 0$aBenjamins translation library$v. volume 43 606 $aLANGUAGE ARTS & DISCIPLINES$2bisac 606 $aTranslating & Interpreting$2bisac 606 $aTranslating and interpreting$vCongresses 606 $aLanguages & Literatures$2HILCC 606 $aPhilology & Linguistics$2HILCC 606 $atranslation$9eng$2eurovoc 606 $ainterpreting$9eng$2eurovoc 606 $alinguistics$9eng$2eurovoc 615 7$aLANGUAGE ARTS & DISCIPLINES 615 7$aTranslating & Interpreting 615 0$aTranslating and interpreting 615 7$aLanguages & Literatures 615 7$aPhilology & Linguistics 615 7$atranslation 615 7$ainterpreting 615 7$alinguistics 676 $a418/.02 686 $a32.32.24$2EP-CLASS 700 $aGarzone$b Giuliana$0254132 702 $aGarzone$b Giuliana 702 $aViezzi$b Maurizio 712 12$aForlái Conference on Interpreting Studies 801 0$bPQKB 906 $aBOOK 912 $a9910453795003321 996 $aInterpreting in the 21st century$92550937 997 $aUNINA LEADER 05613nam 2200745Ia 450 001 9910810828703321 005 20200520144314.0 010 $a9786612547829 010 $a9781282547827 010 $a1282547828 010 $a9780470824566 010 $a0470824565 010 $a9780470824559 010 $a0470824557 035 $a(CKB)2520000000006782 035 $a(EBL)496045 035 $a(OCoLC)609858682 035 $a(SSID)ssj0000356980 035 $a(PQKBManifestationID)11262119 035 $a(PQKBTitleCode)TC0000356980 035 $a(PQKBWorkID)10352454 035 $a(PQKB)11339490 035 $a(MiAaPQ)EBC496045 035 $a(Au-PeEL)EBL496045 035 $a(CaPaEBR)ebr10371959 035 $a(CaONFJC)MIL254782 035 $a(PPN)169614271 035 $a(Perlego)2751747 035 $a(EXLCZ)992520000000006782 100 $a20091104d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian methods for structural dynamics and civil engineering /$fKa-Veng Yuen 205 $a1st ed. 210 $aSingapore ;$aHoboken, N.J. $cJohn Wiley & Sons Asia$dc2010 215 $a1 online resource (312 p.) 300 $aDescription based upon print version of record. 311 08$a9780470824542 311 08$a0470824549 320 $aIncludes bibliographical references and index. 327 $aBAYESIAN METHODS FOR STRUCTURAL DYNAMICS AND CIVIL ENGINEERING; Contents; Preface; Acknowledgements; Nomenclature; 1 Introduction; 1.1 Thomas Bayes and Bayesian Methods in Engineering; 1.2 Purpose of Model Updating; 1.3 Source of Uncertainty and Bayesian Updating; 1.4 Organization of the Book; 2 Basic Concepts and Bayesian Probabilistic Framework; 2.1 Conditional Probability and Basic Concepts; 2.1.1 Bayes' Theorem for Discrete Events; 2.1.2 Bayes' Theorem for Continuous-valued Parameters by Discrete Events; 2.1.3 Bayes' Theorem for Discrete Events by Continuous-valued Parameters 327 $a2.1.4 Bayes' Theorem between Continuous-valued Parameters2.1.5 Bayesian Inference; 2.1.6 Examples of Bayesian Inference; 2.2 Bayesian Model Updating with Input-output Measurements; 2.2.1 Input-output Measurements; 2.2.2 Bayesian Parametric Identification; 2.2.3 Model Identifiability; 2.3 Deterministic versus Probabilistic Methods; 2.4 Regression Problems; 2.4.1 Linear Regression Problems; 2.4.2 Nonlinear Regression Problems; 2.5 Numerical Representation of the Updated PDF; 2.5.1 General Form of Reliability Integrals; 2.5.2 Monte Carlo Simulation 327 $a2.5.3 Adaptive Markov Chain Monte Carlo Simulation2.5.4 Illustrative Example; 2.6 Application to Temperature Effects on Structural Behavior; 2.6.1 Problem Description; 2.6.2 Thermal Effects on Modal Frequencies of Buildings; 2.6.3 Bayesian Regression Analysis; 2.6.4 Analysis of the Measurements; 2.6.5 Concluding Remarks; 2.7 Application to Noise Parameters Selection for the Kalman Filter; 2.7.1 Problem Description; 2.7.2 Kalman Filter; 2.7.3 Illustrative Examples; 2.8 Application to Prediction of Particulate Matter Concentration; 2.8.1 Introduction 327 $a2.8.2 Extended-Kalman-filter based Time-varying Statistical Models2.8.3 Analysis with Monitoring Data; 2.8.4 Conclusion; 3 Bayesian Spectral Density Approach; 3.1 Modal and Model Updating of Dynamical Systems; 3.2 Random Vibration Analysis; 3.2.1 Single-degree-of-freedom Systems; 3.2.2 Multi-degree-of-freedom Systems; 3.3 Bayesian Spectral Density Approach; 3.3.1 Formulation for Single-channel Output Measurements; 3.3.2 Formulation for Multiple-channel Output Measurements; 3.3.3 Selection of the Frequency Index Set; 3.3.4 Nonlinear Systems; 3.4 Numerical Verifications 327 $a3.4.1 Aliasing and Leakage3.4.2 Identification with the Spectral Density Approach; 3.4.3 Identification with Small Amount of Data; 3.4.4 Concluding Remarks; 3.5 Optimal Sensor Placement; 3.5.1 Information Entropy with Globally Identifiable Case; 3.5.2 Optimal Sensor Configuration; 3.5.3 Robust Information Entropy; 3.5.4 Discrete Optimization Algorithm for Suboptimal Solution; 3.6 Updating of a Nonlinear Oscillator; 3.7 Application to Structural Behavior under Typhoons; 3.7.1 Problem Description; 3.7.2 Meteorological Information of the Two Typhoons; 3.7.3 Analysis of Monitoring Data 327 $a3.7.4 Concluding Remarks 330 $aBayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level - especially conc 606 $aEngineering$xStatistical methods 606 $aStructural engineering$xMathematics 606 $aBayesian statistical decision theory 615 0$aEngineering$xStatistical methods. 615 0$aStructural engineering$xMathematics. 615 0$aBayesian statistical decision theory. 676 $a624.101/519542 700 $aYuen$b Ka-Veng$0943267 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810828703321 996 $aBayesian methods for structural dynamics and civil engineering$93947414 997 $aUNINA