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Structural Identification And Damage Detection Using Genetic Algorithms. Volume 6

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Rapid advances in computational methods and computer capabilities have led to a new generation of structural identification strategies. Robust and efficient methods have successfully been developed on the basis of genetic algorithms (GA) . This volume presents the development of a novel GA based identification strategy that contains several advantageous features compared to previous methods. Focusing on structural identification problems with limited and noise contaminated measurements; it provides insight into the effects of various identification parameters on the identification accuracy for systems with known mass. It then proposes a generalization for systems with unknown mass, stiffness and damping properties. The GA identification strategy is subsequently extended for structural damage detection. The findings of the output only strategy and substructure identification represent a great leap forward from the practical point of view.
This book is intended for researchers, engineers and graduate students in structural and mechanical engineering, particularly for those interested in model calibration, parameter estimation and damage detection of structural and mechanical systems using the state of the art GA methodology.

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Ketersediaan

Informasi Detail

Judul Seri

Structures and Infrastructures

No. Panggil

624.171 CHA s

Penerbit

Leiden : CRC Press., 2010

Deskripsi Fisik

xii, 146 hal. : ilus. ; 25 cm

Bahasa

English

ISBN/ISSN

978-0415461023

Klasifikasi

624

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1

Subjek

Teknik Sipil

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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