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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Particle Swarm Optimization Algorithm Coupled with Finite Element Limit Equilibrium Method for Geotechnical Practices
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Particle Swarm Optimization Algorithm Coupled with Finite Element Limit Equilibrium Method for Geotechnical Practices

机译:岩土工程实践中的粒子群优化算法与有限元极限平衡法相结合

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This paper proposes a modified particle swarm optimization algorithm coupled with the finite element limit equilibrium method (FELEM) for the minimum factor of safety and the location of associated noncircular critical failure surfaces for various geotechnical practices. During the search process, the stress compatibility constraints coupled with the geometrical and kinematical compatibility constraints are firstly established based on the features of slope geometry and stress distribution to guarantee realistic slip surfaces from being unreasonable. Furthermore, in the FELEM, based on rigorous theoretical analyses and derivation, it is noted that the physical meaning of the factor of safety can be formulated on the basis of strength reserving theory rather than the overloading theory. Consequently, compared with the limit equilibrium method (LEM) and the shear strength reduction method (SSRM) through several numerical examples, the FELEM in conjunction with the improved search strategy is proved to be an effective and efficient approach to routine analysis and design in geotechnical practices with a high level of confidence.
机译:针对各种岩土工程实践,本文提出了一种改进的粒子群优化算法,结合有限元极限平衡方法(FELEM),以求最小安全系数和相关的非圆形临界破坏面的位置。在搜索过程中,首先基于边坡几何形状和应力分布的特征,建立了应力相容性约束以及几何和运动学相容性约束,以保证真实的滑移面不合理。此外,在FELEM中,基于严格的理论分析和推导,注意到安全系数的物理含义可以基于强度保留理论而不是超载理论来表述。因此,与极限平衡法(LEM)和抗剪强度折减法(SSRM)的几个数值示例相比,FELEM与改进的搜索策略相结合被证明是岩土工程常规分析和设计的有效方法。有高度信心的做法。

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