Optimization of a higher-order sandwich composite beam under uncertainties

Sharma, H and Ganguli, R (2021) Optimization of a higher-order sandwich composite beam under uncertainties. In: Composite Structures, 269 .

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Abstract

The present paper investigates the reliable and robust optimum design of a higher-order sandwich composite beam under the effect of uncertainty in material properties. The sandwich beam is modeled using the extended higher-order sandwich panel theory. The optimization approaches employed in this work are reliability-based design optimization, robust design optimization, and a hybrid reliability-based robust design optimization. The efficiency of the optimization process is enhanced by using a novel time domain spectral element method-based polynomial chaos surrogate model. The performance of the surrogate model is further improved by using Sobol indices based sensitivity analysis. The optimization procedure is performed using an accelerated particle swarm optimization. The numerical results of the reliable and robust optimal design are presented for both the soft and stiff core sandwich beam. Furthermore, the effect of load density and allowable deflection on the optimal design is also examined. © 2021

Item Type:	Journal Article
Publication:	Composite Structures
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd
Keywords:	Composite beams and girders; Optimal systems; Particle swarm optimization (PSO); Sandwich structures; Sensitivity analysis; Time domain analysis, Accelerated particle swarm optimization; High-order; Higher-order; Optimisations; Reliability-based design optimization; Reliability-based robust design optimization; Robust design optimization; Sandwich beams; Sandwich composites; Surrogate model, Machine design
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	23 Jul 2021 10:54
Last Modified:	23 Jul 2021 10:54
URI:	http://eprints.iisc.ac.in/id/eprint/68862

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