Abstract

Abstract Structural lightweight optimization design is classically performed according to the elastic limit rule, which leads to an unacceptable structure weight or strength redundant to an extent. Shakedown theory is implemented in the present study to assess the load-bearing capacity of the structure. Within the shakedown load limit, failure forms of ratcheting, incremental collapse and alternate plasticity will be avoided. Moreover, the full potential of a material can be utilized by following the shakedown limit framework. Therefore, under this framework, by sacrificing some abundant loading bearing capacity, an extremely lightweight design of the structure can be reached. The current research presents a mathematical and algorithmic framework for producing extreme lightweight designs of structures that exhibit constrained shakedown loading capacity, which is an innovative means to the lightweight design and makes the optimal structure design in a relatively practical way. The hybrid genetic algorithm is introduced to obtain a more accurate global solution. The accuracy and effectiveness of the proposed numerical optimization method are validated and demonstrated by a classical problem and subsequently adopted in optimal parameter design of the connecting structure to be used in a manned airtight module. In the end, the research suggests an optimal result for both load capacity and lightweight design for the manned airtight module. And an ultimate lightweight design is given by sacrificing redundant load capacity. This study confirmed that the hybrid genetic algorithm is an effective means for determining the optimal parameter in accordance with the shakedown constraints. In addition, the results of this study support the idea that shakedown analysis should be used in the optimization design of airtight modules instead of using the traditional elastic limit rule. As the load capacity evaluates by shakedown analysis would be more factual. Moreover, this study highlights the design performance enhancements attributed to allowing redundant shakedown load capacity to exchange an ultimate reduction of material.

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