灰色模糊模型在基坑最优排桩中的应用与仿真

基坑排桩方法是决定建筑物安全性能与建设成本的关键，为了改善当前排桩方法主观性太强、缺少约束条件的弊端，设计一种基于灰色模糊的基坑排桩模型。模型以两桩排桩结构为例，描述了等值梁法的基坑排桩建模过程，利用灰色模糊理论构建待优化排桩数据评价集合，向集合中加入环境信息以及建筑约束条件，建立模型隶属度函数，采用最小二乘法给出基坑排桩方法的目标函数，以实现对等值梁法的优化。计算机仿真结果显示，所设计模型能够充分利用环境信息，优化效果显著，且对建筑物的结构改变率低。

Algorithm design of optimal foundation pit row-pile based on grey fuzzy model

The optimal design of the foundation pit row-pile algorithm could effectively solve the existing probability of foundation pit accident. The traditional foundation pit row-pile algorithm has strong subjectivity and lacks constraint conditions. Thus, an optimal excavation row-pile algorithm based on grey fuzzy model was designed in this paper. The row-pile structure of two pile was taken by the model as an example. Firstly, the disadvantage of the traditional equivalent beam method was described. The grey fuzzy theory was used to construct the row pile data evaluation assemblage to be optimized, and then the environmental information and architectural constraint condition were added to the assemblage. Through querying change data between external factors and event ontology which is difficult to describe, the formula was used to describe the modeling membership of grey fuzzy theory in the assemblage to be evaluated and build membership function of model. Moreover, the least square method was used to give the objective function of foundation pit row-pile algorithm, so as to realize the design of foundation pit row-pile algorithm. Through the simulation results, the designed algorithm can effectively solve the shortcomings of traditional methods. The optimization effect is obvious, and the practicability is relatively high.