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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

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【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

【Author】 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;Ocean College,Zhejiang University;State Grid Zhejiang Electric Power Company;China Engineering Group Zhejiang Power Design Institute Co., Ltd.;State Power Economic Research Institute Co.Ltd.;China Electric Power Research Institute;China Institute of Water Resources and Hydropower Research;

【通讯作者】 于洋;

【机构】 国网浙江省电力有限公司台州供电公司浙江大学海洋学院国网浙江省电力有限公司中国能源建设集团浙江省电力设计院有限公司国网经济技术研究院有限公司中国电力科学研究院有限公司中国水利水电科学研究院

【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。

【Abstract】 [Objective] The soil solidification technique is widely used in soft foundation treatment. To exploit spatial plasticity of this technique, composite slab wall soil solidification foundations have gradually been applied in engineering projects. However, a reliable method for calculating the bearing capacity of composite slab wall soil solidification 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 numerical model is established based on the mechanical parameters of solidified and soft soil to calculate the bearing capacity of composite slab wall soil solidification foundations. The results of these calculations are used to train a neural 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 approximately 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, solidified 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 optimizing the design of composite slab wall soil solidification foundations offer new concepts and approaches for similar projects.

【基金】 国家电网依托工程科技项目(11CJ01)
  • 【文献出处】 地质科技通报 ,Bulletin of Geological Science and Technology , 编辑部邮箱 ,2024年06期
  • 【分类号】TU47
  • 【下载频次】31
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