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为对复合材料和钢材半刚性端板节点进行优化设计,以降低其成本,在适当选择控制节点结构性能的最重要变量的基础上,得到控制成本的解决方案。遗传算法在经济和效率方面得到的结果切实可信,该方法建立在这些结果的基础上,计算工作量较小。利用包含齐平和延伸端板节点的4组例子,对优化过程进行说明。这些节点最初只考虑采用钢构件;之后也将考虑复合节点,并将其与其他类型节点进行直接对比。考虑端板尺寸、螺栓数量、螺栓直径等参数对所选用节点的总费用进行了评估。通过实例验证了采用遗传算法对复合材料和钢材半刚性节点进行优化的可行性。
In order to reduce the cost of the semi-rigid end-plate joints of composite materials and steel, the control cost solution is obtained based on the selection of the most important variables that control the structural performance of the nodes. The results obtained from the genetic algorithm in terms of economy and efficiency are credible, and the method is based on these results and the computational workload is small. The optimization process is illustrated with four sets of examples that include flush and extended end-plate nodes. These nodes initially only considered the use of steel components; composite nodes will also be considered later and directly compared to other types of nodes. Taking into account the size of the end plate, the number of bolts, the bolt diameter and other parameters, the total cost of the selected node is evaluated. The feasibility of using genetic algorithm to optimize the semi-rigid joints of composite materials and steel was verified by examples.