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Intelligent computational paradigms in earthquake engineering.

Authors :: Lagaros, Nikos D.
Tsompanakis, Yiannis
Publication Year :: 2007
Abstract: Summary: "This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering"--Provided by publisher.

Subjects :: Earthquake engineering -- Mathematical models
Neural networks (Computer science)
Civil Engineering
Environmental Engineering

Details

Language :: English
ISBN :: 9781599040998 (hbk.)
ISBNs :: 9781599040998
Database :: Jio Institute Digital Library Catalog
Journal :: Intelligent computational paradigms in earthquake engineering / Nikos D. Lagaros, Yiannis Tsompanakis [editors].
Notes :: Includes bibliographical references and index., Machine derived contents note: Intelligent Computational Paradigms In Earthquake Engineering Edited by Nikos D. Lagaros and Yiannis Tsompanakis Table Of Contents Foreword Farzad Naeim John A. Martin & Associates, Inc., Los Angeles, California, U.S.A. Preface Nikos D. Lagaros1 and Yiannis Tsompanakis2 1 Department of Civil Engineering, University of Thessaly, Greece 2 Department of Applied Sciences, Technical University of Crete, Greece SECTION I : Structural Optimization Applications 1) Improved Seismic Design Procedures And Evolutionary Tools Michalis Fragiadakis1, Nikos D. Lagaros2, Yiannis Tsompanakis3 and Manolis Papadrakakis1 1 Department of Civil Engineering, National Technical University of Athens, Greece 2 Department of Civil Engineering, University of Thessaly, Greece 3 Department of Applied Sciences, Technical University of Crete, Greece 2) Applying Neural Networks For Reliability And Performance-Based Design In Earthquake Engineering Ricardo O. Foschi Department of Civil Engineering, University of British Columbia, Vancouver, B.C., Canada 3) Evolutionary Seismic Design For Optimal Performance Arzhang Alimoradi1, Shahram Pezeshk2 and Christopher M. Foley3 1 John A. Martin & Associates, Inc., Los Angeles, California, U.S.A. 2 Department of Civil Engineering, University of Memphis, Memphis, Tennessee, U.S.A. 3 Department of Civil and Environmental Engineering, Marquette University, Milwaukee, Wisconsin, U.S.A 4) Optimal Reliability-Based Design Using Support Vector Machines And Artificial Life Algorithms Jorge E. Hurtado Universidad Nacional de Colombia, Manizales, Colombia 5) Optimum Design Of Structures For Earthquake Induced Loading By Wavelet Neural Network Eysa Salajegheh1 and Ali Heidari2 1 Department of Civil Engineering, University of Kerman, Kerman, Iran 2 Faculty of Engineering, University of Shahrekord, Shahrekord, Iran 6) Developments In Structural Optimization And Applications To Intelligent Structural Vibration Control Ali Sk. Faruque and Ananth Ramaswamy Department of Civil Engineering, Indian Institute of Science, Bangalore, India SECTION II : Structural Assessment Applications 7) Neuro-Fuzzy Assessment Of Building Damage And Safety After An Earthquake Martha L. Carreło1, Omar D. Cardona2 and Alex H. Barbat1 1 Universidad Politčnica de Cataluła, Barcelona, Spain 2 Universidad Nacional de Colombia, Manizales, Colombia 8) Learning Machines For Structural Damage Detection M.R. Hernandez-Garcia1 and M. Sanchez-Silva2 1 Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, California, U.S.A. 2 Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogota, Colombia 9) Structural Assessment Of R.C. Constructions And Fuzzy Expert Systems Mauro Mezzina1, Giuseppina Uva1, Rita Greco1, Giuseppe Acciani2, Giuseppe Leonardo Cascella2, and Girolamo Fornarelli2 1 Department of Civil & Architectural Engineering, Technical University of Bari, Italy 2 Department of Electrical Engineering, Technical University of Bari, Italy 10) Life-Cycle Cost Evaluation Of Bridge Structures Considering Seismic Risk Hitoshi Furuta1 and Kazuhiro Koyama2 1 Department of Informatics, Kansai University, Japan 2 Division of Technology Development, NTT Comware Ltd., Japan 11) Soft Computing Techniques In Probabilistic Seismic Analysis Of Structures Nikos D. Lagaros1, Yiannis Tsompanakis2, Michalis Fragiadakis3 and Manolis Papadrakakis3 3 Department of Civil Engineering, National Technical University of Athens, Greece SECTION III : Structural Identification Applications 12) Inverse Analysis Of Weak And Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm Dominic Assimaki School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA 13) Genetic Algorithms In Structural Identification And Damage Detection C.G. Koh and M.J. Perry Department of Civil Engineering, National University of Singapore, Singapore 14) Neural Network Based Identification Of Structural Parameters In Multystorey Buildings S. Chakraverty Central Building Research Institute, Roorkee, India 15) Application Of Neurocomputing To Parametric Identification Using Dynamic Responses Leonard Ziemia?ski, Bartosz Miller and Grzegorz Pi?tkowski Department of Structural Mechanics, Rzeszw̤ University of Technology, Rzeszw̤, Poland 16) Neural Networks For The Simulation And Identification Analysis Of Buildings Subjected To Paraseismic Excitations Krystyna Ku?niar1 and Zenon Waszczyszyn2 1 Pedagogical University of Cracow, Cracow, Poland 2 Department of Structural Mechanics, Rzeszw̤ University of Technology, Rzeszw̤, Poland.
Publication Type :: Book
Accession number :: jlc.oai.folio.org.fs00001072.3f3f5f5d.d760.43f2.8d05.25772484174a
Document Type :: Bibliographies; Non-fiction