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

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

Martha Carreño (Universidad Politécnica de Cataluña, Spain), Omar Cardona (Universidad Nacional de Colombia, Colombia) and Alex Barbat (Universidad Politécnica de Cataluña, Spain)
Copyright: © 2007 |Pages: 35
DOI: 10.4018/978-1-59904-099-8.ch007
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This chapter describes the algorithmic basis of a computational intelligence technique, based on a neuro-fuzzy system, developed with the objective of assisting nonexpert professionals of building construction to evaluate the damage and safety of buildings after strong earthquakes, facilitating decision-making during the emergency response phase on their habitability and reparability. A hybrid neuro-fuzzy system is proposed, based on a special three-layer feedforward artificial neural network and fuzzy rule bases. The inputs to the system are fuzzy sets, taking into account that the damage levels of the structural components are linguistic variables, defined by means of qualifications such as slight, moderate or severe, which are very appropriate to handle subjective and incomplete information. The chapter is a contribution to the understanding of how soft computing applications, such as artificial neural networks and fuzzy sets, can be used to complex and urgent processes of engineering decision-making, like the building occupancy after a seismic disaster.

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Table of Contents
Farzad Naeim
Nikos Lagaros, Yiannis Tsompanakis
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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