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KuTenk 2000 - SEAR252404-Intelligent Computational Paradigms in Earthquake Engineering

 


 

by Nikos D. Lagaros and Yiannis Tsompanakis 

2007 (462 pages)

ISBN:9781599040998

Exploring the implementation of neural networks for the representation of structural responses in earthquake engineering, this text assesses the efficiency of seismic design procedures and describes latest findings in intelligent optimal control systems.

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Table of Contents

Intelligent Computational Paradigms in Earthquake Engineering

Foreword

Preface

Section I - Structural Optimization Applications

Chapter I

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Improved Seismic Design Procedures and Evolutionary Tools

Chapter II

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Applying Neural Networks for Performance-Based Design in Earthquake Engineering

Chapter III

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Evolutionary Seismic Design for Optimal Performance

Chapter IV

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Optimal Reliability-Based Design Using Support Vector Machines and Artificial Life Algorithms

Chapter V

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Optimum Design of Structures for Earthquake Induced Loading by Wavelet Neural Network

Chapter VI

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Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control

Section II - Structural Assessment Applications

Chapter VII

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Neuro-Fuzzy Assessment of Building Damage and Safety After an Earthquake

Chapter VIII

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Learning Machines for Structural Damage Detection

Chapter IX

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Structural Assessment of RC Constructions and Fuzzy Expert Systems

Chapter X

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Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk

Chapter XI

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Soft Computing Techniques in Probabilistic Seismic Analysis of Structures

Section III - Structural Identification Applications

Chapter XII

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Inverse Analysis of Weak and Strong Motion Downhole Array Data—A Hybrid Optimization Algorithm

Chapter XIII

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Genetic Algorithms in Structural Identification and Damage Detection

Chapter XIV

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Neural Network-Based Identification of Structural Parameters in Multistory Buildings

Chapter XV

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Application of Neurocomputing to Parametric Identification Using Dynamic Responses

Chapter XVI

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Neural Networks for the Simulation and Identification Analysis of Buildings Subjected to Paraseismic Excitations