Imperial College London
Portrait Picture

M H Ferri Aliabadi

Faculty of Engineering, Department of Aeronautics

Chair in Aerostructures
 
 
 
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Contact

 

+44 (0)20 7594 5077m.h.aliabadi

 
 
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Assistant

 

Miss Lisa Kelly +44 (0)20 7594 5056

 
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Location

 

CAGB323City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yoo:2022:10.1007/s00366-020-01084-x,
author = {Yoo, K and Bacarreza, O and Aliabadi, MHF},
doi = {10.1007/s00366-020-01084-x},
journal = {Engineering with Computers: an international journal for simulation-based engineering},
pages = {595--608},
title = {A novel multi-fidelity modelling-based framework for reliability-based design optimisation of composite structures},
url = {http://dx.doi.org/10.1007/s00366-020-01084-x},
volume = {38},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A new multi-fidelity modelling-based probabilistic optimisation framework for composite structures is presented in this paper. The multi-fidelity formulation developed herein significantly reduces the required computational time, allowing for more design variables to be considered early in the design stage. Multi-fidelity models are created by the use of finite element models, surrogate models and response correction surfaces. The accuracy and computational efficiency of the proposed optimisation methodology are demonstrated in two engineering examples of composite structures: a reliability analysis, and a reliability-based design optimisation. In these two benchmark examples, each random design variable is assigned an expected level of uncertainty. Monte Carlo Simulation (MCS), the First-Order Reliability Method (FORM) and the Second-Order Reliability Method (SORM) are used within the multi-fidelity framework to calculate the probability of failure. The reliability optimisation is a multi-objective problem that finds the optimal front, which provides both the maximum linear buckling load and minimum mass. The results show that multi-fidelity models provide high levels of accuracy while reducing computation time drastically.
AU  - Yoo,K
AU  - Bacarreza,O
AU  - Aliabadi,MHF
DO  - 10.1007/s00366-020-01084-x
EP  - 608
PY  - 2022///
SN  - 0177-0667
SP  - 595
TI  - A novel multi-fidelity modelling-based framework for reliability-based design optimisation of composite structures
T2  - Engineering with Computers: an international journal for simulation-based engineering
UR  - http://dx.doi.org/10.1007/s00366-020-01084-x
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000539904400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/article/10.1007%2Fs00366-020-01084-x
UR  - http://hdl.handle.net/10044/1/80708
VL  - 38
ER  -
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