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Performance based discrete topology optimization of steel braced frames by a new metaheuristic

机译:新的元启发式方法基于性能的钢支撑框架离散拓扑优化

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摘要

Seismic topology optimization of structures is a challenging field of structural engineering. So far, a little number of studies has been conducted on this regard and all of them have presented conceptual designs which are of limited practical applicability. The main aim of the present study is to find the practical optimal placement of X- and diagonal bracing systems in steel braced frames subject to seismic loading. To achieve this purpose, a discrete topology optimization formulation is proposed in the framework of seismic performance-based design. A new metaheuristic algorithm, center of mass optimization (CMO), is proposed to deal with the performance-based discrete topology optimization (PBDTO) problem based on the physical concept of center of mass for mass distribution in space. Two challenging benchmark structural optimization problems are presented in order to demonstrate the computational merit of the proposed CMO algorithm compared to a number of algorithms in literature. Furthermore, PBDTO process is implemented for four multi-story steel braced frames by CMO. Performance of the proposed CMO-based discrete topology optimization framework in finding practical topology of bracing members for SBFs is demonstrated on PBDTO examples.
机译:结构的地震拓扑优化是结构工程的一个充满挑战的领域。迄今为止,在这方面已经进行了少量研究,并且所有研究都提出了实用性有限的概念设计。本研究的主要目的是在承受地震荷载的钢支撑框架中找到X形和对角支撑系统的实际最佳位置。为了达到这个目的,在基于地震性能的设计框架内提出了一种离散的拓扑优化公式。提出了一种新的元启发式算法,即质心优化(CMO),基于质心在空间中进行质量分布的物理概念,解决了基于性能的离散拓扑优化(PBDTO)问题。提出了两个具有挑战性的基准结构优化问题,以证明与文献中的许多算法相比,所提出的CMO算法的计算优势。此外,CMO对四个多层钢支撑框架实施了PBDTO工艺。在PBDTO实例上演示了所提出的基于CMO的离散拓扑优化框架在寻找SBF支撑构件的实用拓扑方面的性能。

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