Structural Identification and Damage Detection using Genetic Algorithms (Record no. 3030)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02106 a2200325 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1138111929 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100417.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042017xx eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781138111929 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 49.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TQ |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TN |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | KNA |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TQ |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TN |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | KNAT |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC063000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC005000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC009020 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 624.1710151962 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chan Ghee Koh |
| 245 10 - TITLE STATEMENT | |
| Title | Structural Identification and Damage Detection using Genetic Algorithms |
| Remainder of title | Structures and Infrastructures Book Series, Vol. 6 |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20170616 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 140 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | 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 substructural 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. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Michael J. Perry |
| Relationship | A01 |
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