Constrained TLBO algorithm for lightweight cable-stiffened scissor-like deployable structures

TL;DR

This paper introduces a constrained TLBO algorithm for optimizing lightweight cable-stiffened deployable structures, combining matrix analysis for structural behavior with an innovative optimization approach to improve deployability and weight efficiency.

Contribution

The paper presents a novel constrained TLBO algorithm tailored for weight optimization of cable-stiffened deployable structures, integrating matrix analysis and deployment in Cartesian and polar coordinates.

Findings

Effective weight reduction through optimized section design.

Accurate structural analysis using iterative matrix method.

Validation with examples shows improved performance over existing methods.

Abstract

Present works discusses the efficient structural analysis and weight optimization of the cable-stiffened deployable structures. The stiffening effect of cables is incorporated through a matrix analysis based iterative strategy to identify the active and passive cables. The structural form can be easily deployed to cartesian as well as polar coordinates through the arrangement of duplet members. The large span utility of cable stiffened bar members can pose challenges to the deployability due to increased weight. A novel teaching-learning based optimization (TLBO) algorithm is utilized to optimize the overall weight of the structure through efficient section designs with proper constraint on the yield criteria. The penalty function approach is adopted to identify the unfeasible designs. A number of example cases are analysed and comparison is presented with the existing literature to show the suitability of the proposed approach. Finally, a new form of three-dimensional deployable structure is proposed. It is seen that such deployable structure can be accurately analysed using the iterative matrix analysis approach and efficiently optimized using the present algorithm.