Parameter identification and damage detection using evolutionary programming

This study develops a general approach based on evolutionary programming (EP) as a backcalculation algorithm for structural nondestructive evaluation (NDE). Although EP has been proven to be robust in finding the global optimum, the speed of convergence could be slow for certain problems. This thesi...

Full description

Saved in:
Bibliographic Details
Main Author: Xu, Jianfeng
Other Authors: Soh Chee Kiong
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/12132
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-12132
record_format dspace
spelling sg-ntu-dr.10356-121322023-03-03T19:29:55Z Parameter identification and damage detection using evolutionary programming Xu, Jianfeng Soh Chee Kiong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design This study develops a general approach based on evolutionary programming (EP) as a backcalculation algorithm for structural nondestructive evaluation (NDE). Although EP has been proven to be robust in finding the global optimum, the speed of convergence could be slow for certain problems. This thesis presents an EP algorithm hybridized with local search strategies. Numerical experiments show that the algorithm improves the search efficiency of the traditional EP method without loss of effectiveness in finding the global optimum. The high search efficiency and effectiveness enhance the feasibility and practicality of applying an EP-based backcalculation algorithm for structural NDE. Doctor of Philosophy (CEE) 2008-09-25T06:38:06Z 2008-09-25T06:38:06Z 2005 2005 Thesis Xu, J. F. (2005). Parameter indentification and damage detection using evolutionary programming. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/12132 10.32657/10356/12132 en Nanyang Technological University 215 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Structures and design
spellingShingle DRNTU::Engineering::Civil engineering::Structures and design
Xu, Jianfeng
Parameter identification and damage detection using evolutionary programming
description This study develops a general approach based on evolutionary programming (EP) as a backcalculation algorithm for structural nondestructive evaluation (NDE). Although EP has been proven to be robust in finding the global optimum, the speed of convergence could be slow for certain problems. This thesis presents an EP algorithm hybridized with local search strategies. Numerical experiments show that the algorithm improves the search efficiency of the traditional EP method without loss of effectiveness in finding the global optimum. The high search efficiency and effectiveness enhance the feasibility and practicality of applying an EP-based backcalculation algorithm for structural NDE.
author2 Soh Chee Kiong
author_facet Soh Chee Kiong
Xu, Jianfeng
format Theses and Dissertations
author Xu, Jianfeng
author_sort Xu, Jianfeng
title Parameter identification and damage detection using evolutionary programming
title_short Parameter identification and damage detection using evolutionary programming
title_full Parameter identification and damage detection using evolutionary programming
title_fullStr Parameter identification and damage detection using evolutionary programming
title_full_unstemmed Parameter identification and damage detection using evolutionary programming
title_sort parameter identification and damage detection using evolutionary programming
publishDate 2008
url https://hdl.handle.net/10356/12132
_version_ 1759857000276033536