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Improving Full-Scale Transmission Tower Design through Topology and Shape Optimization

机译:通过拓扑和形状优化改进全尺寸输电塔设计

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摘要

Application of structural optimization to transmission tower design is facilitated since major costs such as material, transportation, erection, and maintenance are directly proportional to structural mass. In this paper, structural topology and shape annealing (STSA), a structural topology optimization method that combines structural grammars with simulated annealing, is applied to reduce the structural mass of an existing tower. STSA has previously been validated only on smaller-scale benchmark tasks. The challenges of extending STSA for application to full-scale design tasks are presented. Key results include a 16.7% mass reduction of the existing primary members through combined optimization of the tower envelope, joint locations, and discrete section sizes. Also, the tower configuration was optimized to have 16 fewer joints and 80 fewer primary members. Promising results for a practical, full-scale application serve to validate the STSA method for combined structural optimization of topology, shape and discrete section size.
机译:由于材料,运输,安装和维护等主要成本与结构质量成正比,因此简化了结构优化在输电塔设计中的应用。在本文中,结构拓扑和形状退火(STSA)是一种将结构语法与模拟退火相结合的结构拓扑优化方法,可用于减少现有塔架的结构质量。 STSA以前仅在较小规模的基准任务上得到过验证。提出了将STSA扩展到全面设计任务的挑战。关键结果包括通过对塔架围护结构,接头位置和不连续截面尺寸进行组合优化,使现有主要构件的质量降低16.7%。而且,塔架配置进行了优化,以减少16个接缝和80个主要构件。实际,全面应用的有希望的结果有助于验证STSA方法对拓扑,形状和离散截面尺寸的组合结构优化。

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