Lagaros, Nikos D
Intelligent computational paradigms in earthquake engineering/
Nikos D Lagaros; Yiannis Tsompanakis
- London; IDEA Group, 2007.
- 444 p.
Scction 1:
Structural Optimization Applications
Chapter I
Improved Seismic Design Procedures and Evolutionary Tools
Chapter II
Applying Neural Networks for Performance-Based Design in EarthquakeEngineering
Chapter III
Evolutionary Seismic Design for Optimal Performance
Chapter IV
Optimal Reliability-Based Design Using Support Vector Machines and Artificial Life Algorithms
Chapter V
Optimum Design of Structures for Earthquake Induced Loading by Wavelet Neural Network
Chapter VI
Developments In Structural Optimization and Applications to
Intelligent Structural Vibration Control
Section II: Structural Assessment Applications
Chapter VII
Neuro-Fuzzy Assesment of Building Damage and Safety After
an Earthquake
Chapter VIII
Learning Machines for Structural Damage Detection
Chapter IX
Structural Assessment of RC Constructions and Fuzzy Expert Systems
Chapter X
Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk
Chapter XI
Soft Computing Techniques in Probabilistic Seismic Analysis
of Structures
Section III: Structural Identification Applications
Chapter XII
Inverse Analysis of Weak and Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm
Chapter XIV
Neural Network-Based Identification of Structural Parameters in
Multistory Buildings
Chapter XV
Application of Neurocomputing to Parametric Identification Using
Dynamic Responses
Chapter XVI
Neural Networks for the Simulation and Identification Analysis of
Buildings Subjected to Paraseismic Excitations
About the Authors
Index
1599041006
Earthquake engineering -- Mathematical models.
Neural networks (Computer science)
TECHNOLOGY & ENGINEERING -- Civil -- Earthquake.
624.1762 / LAG/I