粒子群算法在煤棚网架结构优化设计中的应用

Application of the particle swarm optimization in the optimization design of the grid structure of coal sheds

几何形状对大跨空间结构的影响比较显著,空间结构的几何参数优化一直是结构设计中一个难以解决的问题,由于大跨度空间结构计算量大,难以通过常规计算方法获取最优解,因此在实际工程中该类问题主要依靠建筑师与结构师多年的设计经验和实践来解决。经过实例分析,采用粒子群算法对大跨度煤棚网架结构进行优化找形是有效的解决途径,相比遗传算法,采用粒子群算法进行大型复杂结构优化设计具有收敛速度快、鲁棒性好等优点,具有推广应用价值。

The influence of geometric shapes on large-span spatial structures is relatively significant.The optimization of geometric parameters of spatial structures has always been a difficult problem to be solved in structural design.Due to the large amount of calculation of large-span spatial structures,it is difficult to obtain the optimal solution by conventional calculation methods.Therefore,in practical projects such problems are mainly solved by the design experience and practice of architects and structural engineers for many years.After an example analysis,it is an effective solution to particle swarm algorithm to optimize the form-finding of large-span coal shed grid structures.Compared with the genetic algorithm,the use of particle swarm optimization algorithm for large-scale complex structure optimization design has the advantages of fast convergence speed and good robustness,and has the value of popularization and application.