Reliability optimization design for composite laminated plate considering multiple types of uncertain parameters

Abstract

The available amount of input data for uncertain parameters of composite laminated plates can vary, and the uncertain parameters can be decomposed into strong statistical variables, sparse variables and interval variables. Therefore, a new reliability optimization design methodology for composite laminated plate considering these uncertainty types simultaneously is proposed. The uncertainty types of elastic material parameters are identified, and the corresponding distribution parameters are calculated based on the Akaike information criterion. The reliability indices considering three uncertainty types are calculated based on linear approximation models of first-ply failure functions. A two-level reliability optimization algorithm is proposed to calculate the optimum stacking sequence for composite laminated plate, which can satisfy the lightweight requirement and reliability constraints. Comparisons with the optimization results of the Monte Carlo simulation method in two examples of composite laminated plates demonstrate the effectiveness of the proposed algorithm in conditions with multiple uncertain parameters due to insufficient input data.

KEYWORDS:

• Composite laminated plate
• reliability optimization
• stacking sequence
• sparse variable
• insufficient data

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Xiang Peng http://orcid.org/0000-0002-8244-2202

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant numbers 51875525, 51875517 and U1610112], the Zhejiang Provincial Natural Science Foundation of China [grant number LY18E050020 and LY20E050020], the National Key Research and Development Program of China [grant number 2017YFB0603704] and Fundamental Research Funds for the Provincial Universities of Zhejiang [RF-B2019004]. Their support is gratefully acknowledged.