[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 projects.
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