Optimization of reinforcement layout of scissor‐type bridge using differential evolution algorithm

Scissors mechanisms are commonly used in safety engineering during the construction of temporary structures, owing to their inherent advantages of foldability, transformability, and reusability. We effectively utilized these scissors mechanism features to develop a lightweight, deployable emergency...

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Published inComputer-aided civil and infrastructure engineering Vol. 34; no. 6; pp. 523 - 538
Main Authors Chikahiro, Yuki, Ario, Ichiro, Pawlowski, Piotr, Graczykowski, Cezary, Holnicki‐Szulc, Jan
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.06.2019
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Summary:Scissors mechanisms are commonly used in safety engineering during the construction of temporary structures, owing to their inherent advantages of foldability, transformability, and reusability. We effectively utilized these scissors mechanism features to develop a lightweight, deployable emergency Mobile Bridge (MB) based on optimization, and control of the folding structure. Here, we discuss the problems of optimal reinforcement layout for the MB by formulating and solving three optimization problems, namely: (a) the load capacity maximization problem, (b) the weight minimization problem, and (c) coupling the load capacity maximization problem and the weight minimization problem. The potential benefits resulting from the application of reinforcement were evaluated using a combination of finite element analysis and an optimization algorithm based on the differential evolution method. The results demonstrate the significant positive influence of the additional reinforcing members. In particular, the limit load was increased by over 10 times, while the weight was decreased to approximately half. The proposed methodology enabled the development of a substantially improved version of the MB characterized by a higher load capacity and lower weight in comparison to the initial bridge design.
Bibliography:Correction added on April 22, 2019, after first online publication: Funding Information updated.
ISSN:1093-9687
1467-8667
DOI:10.1111/mice.12432