Structural damage identification using response surface-based multi-objective optimization: A comparative study
Structural damage identification using response surface-based multi-objective optimization: A comparative study
Non-destructive structural damage identification (SDI) and quantification of damage are important issues for any engineering structure. In this study, a comparative assessment of the damage identification capability of different design of experiment (DOE) methods (such as, 2k factorial design, central composite design, Box–Behnken design, D-optimal design and Taguchi’s OA design) used in response surface methodology (RSM) has been carried out. Three different structures (simply supported beam, spring mass damper system and fibre reinforced polymer composite bridge deck) have been used for various single and multiple damage conditions to access the comparative ability of the aforementioned methods in identifying damage addressing two critically important criteria: accuracy and computational efficiency. The study reveals that central composite design and D-optimal design are most recommendable among the five considered DOE methods for SDI. Two different input parameter screening methods (sensitivity analysis using RSM utilizing 2k factorial design and D-optimal design, general sensitivity analysis) have been explored in this study, and their comparative performance is also discussed. It is found that both the methods used in sensitivity analysis for the purpose of input parameter screening in the damage identification process work satisfactorily. Performance of RSM-based damage identification algorithm for different DOE methods under the influence of noise has also been addressed in this paper.
Design of experiments, Multi-objective optimization, Non-destructive structural damage identification, Response surface methodology, Sensitivity analysis
1027-1044
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Dey, Tushar Kanti
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b
Chowdhury, Rajib
0e309fcb-059f-4630-b6e4-3823c67c1dad
Chakrabarti, Anupam
a33871da-c3f8-440c-afea-00c3e9e5a240
19 March 2015
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Dey, Tushar Kanti
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b
Chowdhury, Rajib
0e309fcb-059f-4630-b6e4-3823c67c1dad
Chakrabarti, Anupam
a33871da-c3f8-440c-afea-00c3e9e5a240
Mukhopadhyay, Tanmoy, Dey, Tushar Kanti, Chowdhury, Rajib and Chakrabarti, Anupam
(2015)
Structural damage identification using response surface-based multi-objective optimization: A comparative study.
Arabian Journal for Science and Engineering, 40 (4), .
(doi:10.1007/s13369-015-1591-3).
Abstract
Non-destructive structural damage identification (SDI) and quantification of damage are important issues for any engineering structure. In this study, a comparative assessment of the damage identification capability of different design of experiment (DOE) methods (such as, 2k factorial design, central composite design, Box–Behnken design, D-optimal design and Taguchi’s OA design) used in response surface methodology (RSM) has been carried out. Three different structures (simply supported beam, spring mass damper system and fibre reinforced polymer composite bridge deck) have been used for various single and multiple damage conditions to access the comparative ability of the aforementioned methods in identifying damage addressing two critically important criteria: accuracy and computational efficiency. The study reveals that central composite design and D-optimal design are most recommendable among the five considered DOE methods for SDI. Two different input parameter screening methods (sensitivity analysis using RSM utilizing 2k factorial design and D-optimal design, general sensitivity analysis) have been explored in this study, and their comparative performance is also discussed. It is found that both the methods used in sensitivity analysis for the purpose of input parameter screening in the damage identification process work satisfactorily. Performance of RSM-based damage identification algorithm for different DOE methods under the influence of noise has also been addressed in this paper.
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Published date: 19 March 2015
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Publisher Copyright:
© 2015, King Fahd University of Petroleum and Minerals.
Keywords:
Design of experiments, Multi-objective optimization, Non-destructive structural damage identification, Response surface methodology, Sensitivity analysis
Identifiers
Local EPrints ID: 483526
URI: http://eprints.soton.ac.uk/id/eprint/483526
ISSN: 2193-567X
PURE UUID: 6222c0d3-8664-4b9e-ac6d-66380d2c906b
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Date deposited: 01 Nov 2023 17:51
Last modified: 18 Mar 2024 04:10
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Contributors
Author:
Tanmoy Mukhopadhyay
Author:
Tushar Kanti Dey
Author:
Rajib Chowdhury
Author:
Anupam Chakrabarti
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