摘要
钢筋混凝土埋涵优化设计是多场、多工况、多变量、多约束和多目标的复杂的离散变量优化问题。以南水北调东线穿黄工程滩地埋管为例,提出了基于流固耦合和极限状态分析的埋涵优化设计方法。用优化软件集成多目标遗传算法NSGA-Ⅱ、参数化流固耦合有限元模型和极限状态分析程序,以埋涵壁厚、钢筋直径、钢筋间距为设计变量,在满足尺寸约束、承载力极限状态约束、限裂约束、构造约束等条件下,以造价最省、裂缝宽度最小为目标函数,得到了多目标优化问题的Pareto最优解集。文章提出的优化设计方法可以自动运行,避免了不同地质、不同埋深的长线路埋涵的重复性手工建模,大大提高了设计分析效率。
The optimized design of the embedded concrete culvert is the complicated discrete variable one which features lots of fields, couples of conditions, many variables, various restrains and multi-objectives.In design of the embedded culverts at Tandi where the south-to-north water diversion project underpasses the Yellow River, for example, the optimized design method for the embedded culvert based on fluid-structure couple and limit state analysis is proposed.By application of the optimization software, the multi-objective ge-netic algorithm NSGA-II, the parameterization fluid-structure finite element model and the limit state analysis program are integrated. With such design variables of the wall thickness of the embedded culvert, reinforcement diameter and reinforcement spacing as well as with the objective function of minimum cost and crack width, the optimum solution set of Pareto of the multiple-objective optimization is derived in condition of satisfying size constrain, bearing capacity limit state restrain, limit crack restrain and structural constrain.The op-timization design method proposed in the paper can automatically run, avoiding the repeat model building for the embedded culverts in the long route with different geological conditions and different covers and largely improving the design and analysis efficiency.
出处
《西北水电》
2014年第6期25-29,共5页
Northwest Hydropower
基金
国家自然科学基金资助项目(50779032)
关键词
埋涵
多目标遗传算法
优化设计
流固耦合
embedded culvert multi-objective genetic algorithm optimization design fluid-structure couple
