Optimum design of FRP bridge deck: an efficient RS-HDMR based approach
Optimum design of FRP bridge deck: an efficient RS-HDMR based approach
A novel efficient hybrid method based on random sampling-high dimensional model representations (RS-HDMR) and genetic algorithm coupled with a local unconstrained multivariable minimization function is proposed in this study for optimization of FRP composite web core bridge deck panels. The optimization is performed for lightweight design of FRP composite bridge deck panels based on deflection limit, stresses, buckling and failure criteria and subsequently the representative design curves are developed considering normal as well as skew configurations of FRP bridge decks. Sensitivity analysis is also performed to study the effect of variation in geometry of the bridge deck to its deflection, stress and buckling behaviours. High level of computational efficiency can be achieved without compromising the accuracy of results for optimization of high dimensional systems following the proposed approach.
FRP bridge deck, Genetic algorithm, lightweight design, Optimization, RS-HDMR, Sensitivity analysis
459-477
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Dey, T. K.
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b
Chowdhury, R.
dd17fd58-84a6-4321-88d3-d847038491e7
Chakrabarti, A.
a33871da-c3f8-440c-afea-00c3e9e5a240
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
26 September 2015
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Dey, T. K.
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b
Chowdhury, R.
dd17fd58-84a6-4321-88d3-d847038491e7
Chakrabarti, A.
a33871da-c3f8-440c-afea-00c3e9e5a240
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
Mukhopadhyay, T., Dey, T. K., Chowdhury, R., Chakrabarti, A. and Adhikari, S.
(2015)
Optimum design of FRP bridge deck: an efficient RS-HDMR based approach.
Structural and Multidisciplinary Optimization, 52 (3), .
(doi:10.1007/s00158-015-1251-y).
Abstract
A novel efficient hybrid method based on random sampling-high dimensional model representations (RS-HDMR) and genetic algorithm coupled with a local unconstrained multivariable minimization function is proposed in this study for optimization of FRP composite web core bridge deck panels. The optimization is performed for lightweight design of FRP composite bridge deck panels based on deflection limit, stresses, buckling and failure criteria and subsequently the representative design curves are developed considering normal as well as skew configurations of FRP bridge decks. Sensitivity analysis is also performed to study the effect of variation in geometry of the bridge deck to its deflection, stress and buckling behaviours. High level of computational efficiency can be achieved without compromising the accuracy of results for optimization of high dimensional systems following the proposed approach.
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Published date: 26 September 2015
Additional Information:
Funding Information:
The authors would like to acknowledge the financial support received from MHRD, India during the period of this research work.
Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
Keywords:
FRP bridge deck, Genetic algorithm, lightweight design, Optimization, RS-HDMR, Sensitivity analysis
Identifiers
Local EPrints ID: 483521
URI: http://eprints.soton.ac.uk/id/eprint/483521
ISSN: 1615-147X
PURE UUID: bb34965f-6263-41cc-9566-9ff68286f8fc
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Date deposited: 01 Nov 2023 17:51
Last modified: 18 Mar 2024 04:10
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Contributors
Author:
T. Mukhopadhyay
Author:
T. K. Dey
Author:
R. Chowdhury
Author:
A. Chakrabarti
Author:
S. Adhikari
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