首页|基于屈服机制控制的典型半刚性连接钢框架结构优化设计方法

基于屈服机制控制的典型半刚性连接钢框架结构优化设计方法

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构件截面初选范围及性能评价规则的合理性是实现结构设计高效准确的重要前提.对半刚性连接钢框架结构中不同组件受弯承载力进行不等式迭代推导,建立了适用于构件参数初选取值范围的量化计算方法,即屈服机制控制方法;结合遗传算法和改进成本计算方法,提出了基于屈服机制控制的典型半刚性钢框架结构优化设计方法.对已有试验、有限元参数分析和不同算例的验证性分析结果表明:采用屈服机制控制方法求解的构件参数取值范围可有效控制结构构件屈服顺序,避免结构出现螺栓、连接件失效的"脆性破坏";屈服机制控制方法可有效减小优化搜索的初始解域,加快优化计算效率;改进的结构成本计算方法,可考虑节点及安装成本,得到与实际情况相符的全局最优解.
Optimization design method of typical semi-rigid steel frame structures based on components yield mechanism control
The reasonable selection of components'primary range and performance evaluation method are important prerequisites for efficient and accurate structural design.A quantitative method for defining an acceptable ranges of component parameters was proposed by using the inequality iteration with the different structural components'bending capacities in steel frame structures.Then,this is applied to a typical semi-rigid steel frame structure optimization method based on yield mechanism control via genetic algorithm and modified cost model,and test using the published experimental data,finite element parameterization modeling and several examples.The results show that,semi-rigid steel frames designed within the recommended ranges will have the desired sequence of component yielding.It can avoid the brittle failure caused by the bolts and connectors.The proposed method helps to limit initial solution domain in structure optimization,and the analysis computational efficiency will be improved.Furthermore,an improved structure's cost model considering joints and installation was proposed,which can ensure a global optimal scheme is more consistent with the practical engineering.

steel framesemi-rigid connectionbending capacityyield mechanism controlimproved cost methodoptimization design method

李彬、王湛、范延静、潘建荣、王鹏、李猛

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华南理工大学亚热带建筑科学国家重点实验室,广东广州 510640

东莞理工学院土木工程系,广东东莞 523808

钢框架 半刚性节点 受弯承载力 屈服机制控制方法 改进的成本方法 优化设计方法

国家自然科学基金面上项目国家自然科学基金面上项目亚热带建筑科学国家重点实验室自主研究课题亚热带建筑科学国家重点实验室自主研究课题

51978279522781812022KA042022KB15

2024

建筑结构学报
中国建筑学会

建筑结构学报

CSTPCD北大核心
影响因子:1.546
ISSN:1000-6869
年,卷(期):2024.45(1)
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