Intelligent computational paradigms in earthquake engineering
This book presents the application of learning machines, artificial neural networks and support vector machines as highly-efficient pattern recognition tools for structural damage detection. It includes an AI-based evaluation of bridge structures using life-cycle cost principles that considers seism...
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| Format: | Electronic |
| Language: | English |
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Hershey, Pa. :
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
c2007.
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| Subjects: | |
| Online Access: | View fulltext via EzAccess |
Table of Contents:
- I. Improved seismic design procedures and evolutionary tools / Michalis Fragiadakis, Nikos Lagaros, Yiannis Tsompanakis, Manolis Papadrakakis
- II. Applying neural networks for performance-based design in earthquake engineering / Ricardo Foschi
- III. Evolutionary seismic design for optimal performance / Arzhang Alimoradi, Shahram Pezeshk, Christopher Foley
- IV. Optimal reliability-based design using support vector machines and artificial life algorithms / Jorge Hurtado
- V. Optimum design of structures for earthquake induced loading by wavelet neural network / Eysa Salajegheh, Ali Heidari
- VI. Developments in structural optimization and applications to intelligent structural vibration control / Faruque Ali, Ananth Ramaswamy
- VII. Neuro-fuzzy assessment of building damage and safety after an earthquake / Martha Carreño, Omar Cardona, Alex Barbat
- VIII. Learning machines for structural damage detection / Miguel Hernandez-Garcia, Mauricio Sanchez-Silva
- IX. Structural assessment of RC constructions and fuzzy expert systems / Mauro Mezzina, Giuseppina Uva, Rita Greco, Giuseppe Acciani, Giuseppe Cascella, Girolamo Fornarelli
- X. Life-cycle cost evaluation of bridge structures considering seismic risk / Hitoshi Furuta, Kazuhiro Koyama
- XI. Soft computing techniques in probabilistic seismic analysis of structures / Nikos Lagaros, Yiannis Tsompanakis, Michalis Fragiadakis, Manolis Papadrakakis
- XII. Inverse analysis of weak and strong motion downhole array data / Dominic Assimaki
- XIII. Genetic algorithms in structural identification and damage detection / Chan Koh
- XIV. Neural network-based identification of structural parameters in multistory buildings / Snehashish Chakraverty
- XV. Application of neurocomputing to parametric identification using dynamic responses / Leonard Ziemianski, Bartosz Miller, Grzegorz Piatkowski
- XVI. Neural networks for the simulation and identification analysis of buildings subjected to paraseismic excitations / Krystyna Kuzniar, Zenon Waszczyszyn.