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Teaching and Learning Based Optimization Algorithm for Optimum Design of Steel Buildings

机译:基于教学与学习钢制建筑优化设计优化算法

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In this study, an algorithm is developed for the optimum design of the steel buildings. The optimum design problem is formulated according to LRFD-AISC. Design constraints include the displacement limitations, inter-story drift restrictions of multi-story frames, strength requirements for beams and beam-columns and geometric constraints. Teaching and learning based optimization (TLBO) technique, inspired by the interaction and outcome of teacher and learners, is employed to determine its optimum solution. The design algorithm developed selects optimum W sections for beams and columns of three dimensional steel frames so that aforementioned constraints are satisfied and the frame has the minimum weight. A large scale steel building has been designed by TLBO algorithm developed in order to test performance of the algorithm.
机译:在本研究中,开发了一种算法,用于钢制建筑的最佳设计。根据LRFD-AISC配制了最佳设计问题。设计约束包括位移限制,多层帧的际故事漂移限制,光束和光束列的强度要求和几何约束。基于教学和基于学习的优化(TLBO)技术,受到教师和学习者的互动和结果的启发,用于确定其最佳解决方案。设计算法为三维钢框架的光束和列选择最佳W部分,使得满足上述约束,框架具有最小重量。由TLBO算法设计了一个大型钢结构,以便测试算法性能。

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