基于模糊积分理论的深基坑支护方案优选及优化设计研究

发布时间：2018-05-14 22:04

本文选题：深基坑 + 模糊积分　；参考：《中原工学院》2017年硕士论文

【摘要】：随着城市中高层、超高层建筑以及地下空间的不断发展,与之相匹配的深基坑工程也越来越多。对于深基坑工程,一个“好”的支护设计方案在能够保证安全要求的前提下达到缩减造价费用的目的。然而,一个“不好”的支护设计方案纵然是成本再高,安全性也不一定能够保证。因此,深基坑支护设计方案的优化就显得特别重要。深基坑工程是一项综合性很强的系统工程,在对其支护方案进行优选时需要考虑的影响因素众多,这些因素中有些是可以定量的,而有的则较难得到定量值,这类因素往往具有不同程度的模糊性。针对这种情况,本文采用模糊积分理论,主要开展了以下的研究工作:(1)首先对深基坑支护方案优选的评价指标具有模糊性及相互影响的特点进行了具体的分析研究,以模糊积分的基本理论为基础,对现在的Sugeno型模糊积分进行了改进,给出了基于改进Sugeno模糊积分的深基坑支护方案优选模型。(2)运用该优选模型对某一工程实例进行分析研究,验证了该模型的可行性与实用性,并选出土钉墙支护方案为最优方案。(3)以所选择的最优方案土钉墙支护方案为基础,运用遗传算法基本原理,构建以支护方案造价最低为目标函数,建立土钉墙优化设计的数学模型,并利用Matlab遗传工具箱进对工程实例进行优化设计,通过与原设计的对比分析,验证了该优化设计模型的可行性。研究成果对深基坑支护方案的优选及优化设计具有一定的理论价值,对改善深基坑支护结构的设计具有一定的实际应用价值。
[Abstract]:With the development of high-rise building and underground space in the city, there are more and more deep foundation pit projects. For deep foundation pit engineering, a "good" supporting design scheme can reduce the cost under the premise of ensuring safety requirements. However, a "bad" support design scheme, even if the cost is high, the safety is not necessarily guaranteed. Therefore, it is very important to optimize the design scheme of deep foundation pit support. Deep foundation pit engineering is a comprehensive and systematic project. There are many factors that need to be considered in the optimization of its supporting scheme. Some of these factors can be quantified, while others are difficult to obtain quantitative value. Such factors often have varying degrees of ambiguity. In view of this situation, this paper adopts fuzzy integral theory, mainly carries out the following research work: 1) first of all, the characteristics of fuzzy and mutual influence on the evaluation index of optimal selection of deep foundation pit support scheme are analyzed and studied concretely. Based on the basic theory of fuzzy integral, the present Sugeno fuzzy integral is improved, and the optimal selection model of deep foundation pit support scheme based on improved Sugeno fuzzy integral is given. The feasibility and practicability of the model are verified, and the soil nailing wall support scheme is selected as the optimal scheme. Taking the lowest cost of the support scheme as the objective function, the mathematical model of soil nailing wall optimization design is established, and the Matlab genetic toolbox is used to carry out the optimization design of the engineering example, and through the comparison and analysis with the original design, The feasibility of the optimal design model is verified. The research results have certain theoretical value for the optimal selection and design of deep foundation pit support scheme, and have certain practical application value for improving the design of deep foundation pit supporting structure.
【学位授予单位】：中原工学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU753

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