Abstract
The viscous boundary has a direct influence on the accuracy of structural dynamic response analysis, and the absorbing effect of the viscous boundary is controlled by the adjustment coefficient. Therefore, a calibration model of the viscous boundary’s adjustment coefficient based on the water cycle algorithm is established for the particle discrete element to improve the accuracy of dynamic response analysis. First, the traditional viscous boundary theory is utilized to realize the viscous boundary’s application method in the particle discrete element via programming. This avoids the reflection and superposition of seismic waves at the boundary and makes the structural dynamic response with the particle discrete element more real and accurate. Second, for the complex and time-consuming adjustment coefficients determination, a calibration model based on the water cycle algorithm and Latin hypercube sampling is established for the adjustment coefficients in the particle discrete element method. Finally, this calibration model is employed for the seismic response analysis of a rockfill slope, the maximum velocity of rock in this rockfill slope being about 1.30 times that of a seismic wave. Comparing the rockfill slope response with fixed and viscous boundaries, the calibration’s accuracy and the viscous boundary’s feasibility are demonstrated, further expanding the research and application of the particle discrete element method in dynamic response analysis.
Highlights
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In the process of calibration of adjustment coefficient of viscous boundary, the absorbing effect of model boundary is constantly adjusted, and the recovery time of monitoring points is continuously reduced. It shows that the calibration model established in this paper can achieve the best absorbing effect of the particle discrete element method (PDEM) boundary in a short time via the Latin hypercube sampling (LHS)-water cycle algorithm (WCA)
(1) The viscous boundary is constructed in the PDEM, and its application method was explained in detail
Summary
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