Lagaros N.D., Tsompanakis Y. (eds) Intelligent Computational Paradigms in Earthquake Engineering

Idea Group Publishing, 2007, 462 pp.
Earthquake engineers are often criticized by others for being too constrained by old traditions. We are told that we have a limited vocabulary consisting of beams, columns, walls, and few other words; rather narrow means of analyses; and a restricted vision of possibilities for evaluation and retrofit of structures. Such criticism, of course, is much more descriptive of the ignorance of those who assert it than it is reflective of the current status, vision, and complexity of earthquake engineering research and practice. Over the past several decades, earthquake engineers have advanced the field of applied physics by leaps and bounds. Earthquake engineers developed the finite element analysis currently used by all branches of science and engineering; pioneered the response spectrum concept and visualized and refined the techniques for analysis of nonlinear systems.
This book is bound to find a prominent place on the bookshelf of every serious student, researcher and practitioner of earthquake engineering. And for that I salute the editors and their distinguished contributors for a job well done.Foreword.Improved Seismic Design Procedures and Evolutionary Tools - Michalis Fragiadakis, Nikos D. Lagaros, Yiannis Tsompanakis, Manolis Papadrakakis.
Applying Neural Networks for Performance-Based Design in Earthquake Engineering - Ricardo O. Foschi.
Evolutionary Seismic Design for Optimal Performance - Arzhang Alimoradi, Shahram Pezeshk, Christopher M. Foley.
Optimal Reliability-Based Design Using Support Vector Machines and Artificial Life Algorithms - Jorge E. Hurtado.
Optimum Design of Structures for Earthquake Induced Loading by Wavelet Neural Network - Eysa Salajegheh, Ali Heidari.
Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control - Sk. Faruque Ali, Ananth Ramaswamy.
Neuro-Fuzzy Assessment of Building Damage and Safety After an Earthquake - Martha L. Carreno, Omar D. Cardona, Alex H. Barbat.
Learning Machines for Structural Damage Detection - Miguel R. Hernandez-Garcia, Mauricio Sanchez-Silva.
Structural Assessment of RC Constructions and Fuzzy Expert Systems - Mauro Mezzina, Giuseppina Uva, Rita Greco, Giuseppe Acciani, Giuseppe Leonardo Cascella, Girolamo Fornarelli.
Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk - Hitoshi Furuta, Kazuhiro Koyama.
Soft Computing Techniques in Probabilistic Seismic Analysis of Structures - Nikos D. Lagaros, Yiannis Tsompanakis, Michalis Fragiadakis, Manolis Papadrakakis.
Inverse Analysis of Weak and Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm -
Dominic Assimaki.
Genetic Algorithms in Structural Identification and Damage Detection - Chan Ghee Koh, Michael John Perry.
Neural Network-Based Indentification of Structural Parameters in Multistory Buildings - Snehashish Chakraverty.
Application of Neurocomputing to Parametric Identification Using Dynamic Responses -
Leonard Ziemiański, Bartosz Miller, Grzegorz Piątkowski.
Neural Networks for the Simulation and Identification Analysis of Buildings Subjected to Paraseismic Excitations - Krystyna Kuźniar, Zenon Waszczyzyn.
About the Authors.