基于ANSYS的混凝土框架结构遗传算法优化

发布时间：2018-05-06 19:47

本文选题：ANSYS + 遗传算法　；参考：《西北农林科技大学》2015年硕士论文

【摘要】：结构优化对于实际工程中混凝土构件的耐久性、工程的质量、使用安全及资源的节约利用有着重要的影响,钢筋混凝土构件的优化研究可以显著减少工程成本节约资金和工时,具有重要意义。本文研究了基于ANSYS的遗传算法优化,探讨了基于ANSYS的遗传算法优化的基本原理,实现了MATLAB中对ANSYS批处理模式运算的调用和MATLAB与ANSYS程序间的数据传递。具体方法为先利用APDL语言构建参数化模型,在MATLAB中设置参数,通过MATLAB编写程序,传递给ANSYS并调用ANSYS批处理功能进行计算,计算结束后ANSYS输出结果的数据文件,由MATLAB自动处理并进行优化筛选。全部设置都可以在MATLAB中实现,实现了优化计算的自动化。并以十杆桁架的简单算例为例,使用基于ANSYS的遗传算法优化方法与ANSYS自带的一阶优化方法对满足受力及位移条件的杆件重量进行了优化计算和对比,验证了基于ANSYS的遗传算法优化的可行性和良好的优化效果。以此方法为基础,对较为复杂的两跨五层钢筋混凝土框架结构进行优化计算,在钢筋混凝土框架结构的优化中,以不同构件截面尺寸及配筋情况作为设计变量、以框架结构的总造价为整体目标函数,使用基于ANSYS的遗传算法优化方法与FMINCON非线性规划耦合进行优化计算。首先使用基于ANSYS的遗传算法优化方法对混凝土框架结构的各梁和柱的截面尺寸赋予初值,同时使用FMINCON非线性规划,根据得到的内力值进行配筋计算,而后通过遗传算法适应度函数予以优化。优化结果表明,采用基于ANSYS的遗传算法进行优化可节约造价,经比较,成本大幅降低。本研究表明,基于MATLAB遗传算法的优化效果比之ANSYS一阶优化效果更为理想。且该方法操作简便、适用范围广泛,在工程中亦具有较高的应用价值,且具有解决复杂工程技术问题的潜力。
[Abstract]:Structural optimization plays an important role in the durability of concrete members, the quality of engineering, the safety of use and the conservation and utilization of resources. The optimization of reinforced concrete members can significantly reduce the project cost and save time. It is of great significance. In this paper, the genetic algorithm optimization based on ANSYS is studied, the basic principle of genetic algorithm optimization based on ANSYS is discussed, and the call of ANSYS batch mode operation in MATLAB and the data transfer between MATLAB and ANSYS program are realized. The concrete method is to build parameterized model with APDL language first, set parameters in MATLAB, write program through MATLAB, pass it to ANSYS and call ANSYS batch processing function to calculate, calculate the data file of the output result of ANSYS after the end. Automatic processing and optimization screening by MATLAB. All the settings can be realized in MATLAB, which realizes the automation of optimization calculation. Taking the simple example of ten bar truss as an example, the optimization method based on genetic algorithm based on ANSYS and the first order optimization method of ANSYS are used to calculate and compare the weight of the member which satisfies the stress and displacement conditions. The feasibility and good effect of genetic algorithm optimization based on ANSYS are verified. On the basis of this method, the complex two-span five-story reinforced concrete frame structure is optimized. In the optimization of reinforced concrete frame structure, different section sizes and reinforcement conditions are taken as design variables. Taking the total cost of the frame structure as the overall objective function, the genetic algorithm optimization method based on ANSYS and the FMINCON nonlinear programming are used for optimization calculation. At first, genetic algorithm optimization method based on ANSYS is used to assign initial value to the cross section size of each beam and column of concrete frame structure. At the same time, using FMINCON nonlinear programming, the reinforcement is calculated according to the obtained internal force. Then genetic algorithm fitness function is used to optimize. The optimization results show that the genetic algorithm based on ANSYS can save the cost, and the cost is greatly reduced by comparison. This study shows that the optimization effect based on MATLAB genetic algorithm is better than that of ANSYS first order optimization. The method is easy to operate and has a wide range of applications. It also has high application value in engineering and has the potential to solve complex engineering technical problems.
【学位授予单位】：西北农林科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU375.4

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