基于神经网络的板墙组合式固化土地基承载力计算方 法与优化设计  

Calculation of capacity and optimization design-composite slab wall soil solidification foundation based on neural network

作　　者：周灵刚 胡奕挺 陈欣蔚 屠锋 吴朝峰 于洋 王彦兵 满银 李维朝[7] ZHOU Linggang;HU Yiting;CHEN Xinwei;TU Feng;WU Zhaofeng;YU Yang;WANG Yanbing;MAN Yin;LI Weichao(State Grid Zhejiang Taizhou Power Supply Company,Taizhou Zhejiang 318001,China;Ocean College,Zhejiang University,Zhoushan Zhejiang 316021,China;State Grid Zhejiang Electric Power Company,Hangzhou 310007,China;China Engineering Group Zhejiang Power Design Institute Co.,Ltd.,Hangzhou 310014,China;State Power Economic Research Institute Co.Ltd.,Beijing 102200,China;China Electric Power Research Institute,Beijing 100192,China;China Institute of Water Resources and Hydropower Research,Beijing 100038,China)

机构地区：[1]国网浙江省电力有限公司台州供电公司,浙江台州318001 [2]浙江大学海洋学院,浙江舟山316021 [3]国网浙江省电力有限公司,杭州310007 [4]中国能源建设集团浙江省电力设计院有限公司,杭州310014 [5]国网经济技术研究院有限公司,北京102200 [6]中国电力科学研究院有限公司,北京100192 [7]中国水利水电科学研究院,北京100038

出　　处：《地质科技通报》2024年第6期102-113,共12页Bulletin of Geological Science and Technology

基　　金：国家电网依托工程科技项目(11CJ01)。

摘　　要：软土固化技术在地基处理中应用广泛,为发挥其空间可塑性优势,板墙组合式固化土地基逐步在工程中得到应用。然而,板墙组合式固化土地基承载力尚无可靠计算方法,叠加固化土与软土力学参数不确定性,导致板墙组合式固化土地基优化设计困难,需要提出一种板墙组合式固化土地基承载力计算及优化设计方法。以浙江省台州市经纬110 kV滨海变电站场地为研究对象,测试固化土与软土力学参数,建立数值模型计算板墙组合式地基承载力,以此为基础训练神经网络模型,作为板墙组合式固化土地基承载力计算模型,为工程应用提供便利。引入岩土工程鲁棒性设计理论,采用蒙特卡洛模拟处理固化土与软土力学参数不确定性,以标准差作为鲁棒性评价指标评估不确定性对设计的影响,以固化土地基截面面积近似表征工程造价,实现考虑经济性和鲁棒性的固化土地基优化设计。将设计方法应用于工程实例,得到最优设计方案为固化板厚度P=2 m、固化墙深度W=3 m、固化墙厚度D=1.5 m、固化墙净间距S=1 m,为工程设计提供参考。本研究提出的板墙组合式固化土地基承载力计算模型及优化设计方法为相关工程计算和设计提供新思路和新方法。[Objective]The soil solidification technique is widely used in soft foundation treatment.To exploit spa-tial plasticity of this technique,composite slab wall soil solidification foundations have gradually been applied in en-gineering projects.However,a reliable method for calculating the bearing capacity of composite slab wall soil solid-ification foundations is lack,and the mechanical parameters of both solidified and soft soil remain uncertain.These factors complicate the optimization of the composite slab wall soil solidification foundation designs.Therefore,it is crucial to propose a method for calculating the bearing capacity and optimizing the design of such foundations.[Methods]This study focuses on the 110 kV Jingwei coastal substation in Taizhou,Zhejiang Province.A numeri-cal model is established based on the mechanical parameters of solidified and soft soil to calculate the bearing ca-pacity of composite slab wall soil solidification foundations.The results of these calculations are used to train a neu-ral network,enabling predictions of the bearing capacity for various design parameters,thus facilitating engineering applications.Uncertainties of the mechanical parameters are addressed through Monte Carlo simulations,and their impact on design is estimated using the robustness evaluation index standard deviation.The design cost is approxi-mately estimated by the cross-sectional area of the foundation.Robust design theory is introduced to optimize the design while balancing cost-effectiveness and robustness.[Results]This method is implemented in an engineering project,resulting in an optimal design with solidified plate thickness P=2 m,solidified wall depth W=3 m,solidi-fied wall thickness D=1.5 m,solidified wall net spacing S=1 m,and upper foundation width B=4 m,providing a reference for engineering designs.[Conclusion]The proposed methods for calculating bearing capacity and optimi-zing the design of composite slab wall soil solidification foundations offer new concepts and approaches for similar proje

关 键 词：固化土地基 神经网络 承载力 鲁棒性设计 软土固化 板墙组合 

分 类 号：TU470[建筑科学—结构工程]