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

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

Krystyna Kuzniar (Pedagogical University of Cracow, Poland) and Zenon Waszczyszyn (Rzeszów University of Technology, Poland)
Copyright: © 2007 |Pages: 40
DOI: 10.4018/978-1-59904-099-8.ch016
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Abstract

The chapter deals with an application of neural networks to the analysis of vibrations of medium-height prefabricated buildings with load-bearing walls subjected to paraseismic excitations. Neural network technique was used for identification of dynamic properties of actual buildings, simulation of building responses to paraseismic excitations as well as for the analysis of response spectra. Mining tremors in strip mines and in the most seismically active mining regions in Poland with underground exploitation were the sources of these vibrations. On the basis of the experimental data obtained from the measurements of kinematic excitations and dynamic building responses of actual structures the training and testing patterns were formulated. It was stated that the application of neural networks enables us to predict the results with accuracy quite satisfactory for engineering practice. The results presented in this chapter lead to a conclusion that the neural technique gives new prospects of efficient analysis of structural dynamics problems related to paraseismic excitations.

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Table of Contents
Foreword
Farzad Naeim
Preface
Nikos Lagaros, Yiannis Tsompanakis
Acknowledgments
Nikos Lagaros, Yiannis Tsompanakis
Chapter 1
Michalis Fragiadakis, Nikos D. Lagaros, Yiannis Tsompanakis, Manolis Papadrakakis
Four alternative analytical procedures are recommended by the design codes for the structural analysis of buildings under earthquake loading. The... Sample PDF
Improved Seismic Design Procedures and Evolutionary Tools
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Chapter 2
Ricardo O. Foschi
This chapter discusses the application of neural networks for the representation of structural responses in earthquake engineering, and their... Sample PDF
Applying Neural Networks for Performance-Based Design in Earthquake Engineering
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Chapter 3
Arzhang Alimoradi, Shahram Pezeshk, Christopher Foley
The chapter provides an overview of optimal structural design procedures for seismic performance. Structural analysis and design for earthquake... Sample PDF
Evolutionary Seismic Design for Optimal Performance
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Chapter 4
Jorge Hurtado
Reliability-based optimization is considered by many authors as the most rigorous approach to structural design, because the search for the optimal... Sample PDF
Optimal Reliability-Based Design Using Support Vector Machines and Artificial Life Algorithms
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Chapter 5
Eysa Salajegheh, Ali Heidari
Optimum design of structures for earthquake induced loading is achieved by a modified genetic algorithm (MGA). Some features of the simulated... Sample PDF
Optimum Design of Structures for Earthquake Induced Loading by Wavelet Neural Network
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Chapter 6
Faruque Ali, Ananth Ramaswamy
The chapter introduces developments in intelligent optimal control systems and their applications in structural engineering. It provides a good... Sample PDF
Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control
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Chapter 7
Martha Carreño, Omar Cardona, Alex Barbat
This chapter describes the algorithmic basis of a computational intelligence technique, based on a neuro-fuzzy system, developed with the objective... Sample PDF
Neuro-Fuzzy Assessment of Building Damage and Safety After an Earthquake
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Chapter 8
Miguel Hernandez-Garcia, Mauricio Sanchez-Silva
The complexity of civil infrastructure systems and the need to keep essential systems operating after unexpected events such as earthquakes demands... Sample PDF
Learning Machines for Structural Damage Detection
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Chapter 9
Mauro Mezzina, Giuseppina Uva, Rita Greco, Giuseppe Acciani, Giuseppe Cascella, Girolamo Fornarelli
The chapter deals with the structural assessment of existing constructions, with a particular attention to seismic risk mitigation. Two aspects are... Sample PDF
Structural Assessment of RC Constructions and Fuzzy Expert Systems
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Chapter 10
Hitoshi Furuta, Kazuhiro Koyama
This chapter introduces a life-cycle cost (LCC) analysis of bridge structures considering seismic risk. Recently, LCC has been paid attention as a... Sample PDF
Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk
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Chapter 11
Nikos Lagaros, Yiannis Tsompanakis, Michalis Fragiadakis, Manolis Papadrakakis
Earthquake-resistant design of structures using probabilistic analysis is an emerging field in structural engineering. The objective of this chapter... Sample PDF
Soft Computing Techniques in Probabilistic Seismic Analysis of Structures
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Chapter 12
Dominic Assimaki
A seismic waveform inversion algorithm is proposed for the estimation of elastic soil properties using low amplitude, downhole array recordings.... Sample PDF
Inverse Analysis of Weak and Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm
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Chapter 13
Chan Koh
Genetic algorithms (GA) have proved to be a robust, efficient search technique for many problems. In this chapter, the latest developments by the... Sample PDF
Genetic Algorithms in Structural Identification and Damage Detection
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Chapter 14
Snehashish Chakraverty
A detailed study of the capabilities and powerfulness of soft computing techniques such as artificial neural network with respect to the... Sample PDF
Neural Network-Based Identification of Structural Parameters in Multistory Buildings
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Chapter 15
Leonard Ziemianski, Bartosz Miller, Grzegorz Piatkowski
The chapter focuses on the applications of neurocomputing to the analysis of identification problems in structural dynamics, the main attention is... Sample PDF
Application of Neurocomputing to Parametric Identification Using Dynamic Responses
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Chapter 16
Krystyna Kuzniar, Zenon Waszczyszyn
The chapter deals with an application of neural networks to the analysis of vibrations of medium-height prefabricated buildings with load-bearing... Sample PDF
Neural Networks for the Simulation and Identification Analysis of Buildings Subjected to Paraseismic Excitations
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