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为实现经济效益,已对大批量生产的钢结构产品的优化进行了广泛研究。旨在不削弱结构构件的强度和实用性的条件下,尽量减少材料的用量。当前研究主要集中于传统截面形状主要尺寸的优化,而并未考虑采用新的最佳截面。介绍了一种新的优化方法,利用遗传算法(GA)的进化和自适应特点,使截面的自身形状达到最佳效果。采用该方法对薄壁型材的截面承载力进行优化,验证了该方法的可行性和精确性。特别地,通过简单参数对截面的优化方法中,这种分析方法是众所周知的,即双轴对称闭口截面的优化。结果表明,经过几代演化,截面自身形状产生出精确的最优解。给出了影响收敛的因素。该方法可推广至冷弯型钢开口截面柱的优化。
In order to achieve economic efficiency, extensive studies have been conducted on the optimization of mass-produced steel products. The aim is to minimize the amount of material without impairing the strength and utility of structural members. The current research mainly focuses on the optimization of the main dimensions of the traditional cross-sectional shape without considering the new best cross-section. A new optimization method is introduced, which takes advantage of the evolutionary and adaptive characteristics of genetic algorithm (GA) to optimize the shape of the section itself. This method is used to optimize the section bearing capacity of thin-walled section, which verifies the feasibility and accuracy of the method. In particular, this method of analysis is well known in the optimization of sections with simple parameters, namely the optimization of a biaxial symmetrical closed cross section. The results show that after several generations of evolution, the exact shape of the cross-section produces an exact optimal solution. The factors that influence the convergence are given. The method can be extended to the optimization of cold-formed section steel columns.