ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Reliability based and robust design optimization of truss and composite plate using particle swarm optimization

Yadav, R and Ganguli, R (2022) Reliability based and robust design optimization of truss and composite plate using particle swarm optimization. In: Mechanics of Advanced Materials and Structures, 29 (13). 1892 -1902.

[img] PDF
mec_adv_mat_stu_2020.pdf - Accepted Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: https://dx.doi.org/10.1080/15376494.2020.1843743


This paper addresses the effects of uncertainties on the optimal design of trusses and laminated composite plates. Uncertainties are considered in the design variables and material properties. Structural optimization is performed using the failure theory as a constraint, coupled with particle swarm optimization (PSO). Three different optimization approaches are utilized: (i) Deterministic optimization (ii) Reliability-based design optimization and (iii) Robust design optimization. A comparison is conducted between the aforementioned approaches based on the probability of failure. Monte Carlo simulation is performed to obtain the probability of failure. © 2020 Taylor & Francis Group, LLC.

Item Type: Journal Article
Publication: Mechanics of Advanced Materials and Structures
Publisher: Bellwether Publishing, Ltd.
Additional Information: Copyright to this article belongs to Bellwether Publishing, Ltd.
Keywords: Failure analysis; Laminated composites; Machine design; Monte Carlo methods; Plates (structural components); Structural optimization; Trusses, Composite plates; Deterministic optimization; Laminated composite plates; Optimization approach; Probability of failure; Reliability-based; Reliability-based design optimization; Robust design optimization, Particle swarm optimization (PSO)
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 22 Dec 2020 11:27
Last Modified: 21 Sep 2022 08:59
URI: https://eprints.iisc.ac.in/id/eprint/67223

Actions (login required)

View Item View Item