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A unified model for predicting earthquake-induced sliding displacements of rigid and flexible slopes

机译:刚性和柔性边坡地震诱发滑动位移的统一模型

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Permanent sliding displacement represents a common damage parameter for evaluating the seismic stability of slopes. Recently developed empirical models for the sliding displacement of shallow (rigid) sliding masses have demonstrated that including multiple ground motion parameters in the predictive model (e.g., peak ground acceleration and peak ground velocity) improves the displacement prediction and reduces it uncertainty. A unified framework is developed that extends these empirical displacement models for application to flexible sliding masses, where the dynamic response of the sliding mass is important. This framework includes predicting the seismic loading for the sliding mass in terms of the maximum seismic coefficient (k_(max)) and the maximum velocity of the seismic coefficient-time history (k–vel_(max)). The predictive models are a function of the peak ground acceleration (PGA), peak ground velocity (PGV), the natural period of the sliding mass (T_s), and the mean period of the earthquake motion (T_m). The empirical predictive models for sliding displacement utilize k_(max) and k–vel_(max) in lieu PGA and PGV, and include a term related to the natural period of the sliding mass. This unified framework provides a consistent approach for predicting the sliding displacement of rigid (T_s=0) and flexible (T_s>0) slopes.
机译:永久滑动位移代表用于评估边坡地震稳定性的常见破坏参数。最近开发的浅(刚性)滑动块滑动位移的经验模型表明,在预测模型中包含多个地面运动参数(例如峰值地面加速度和峰值地面速度)可以改善位移预测并降低不确定性。开发了一个统一的框架,将这些经验位移模型扩展到适用于柔性滑动质量的位置,其中滑动质量的动态响应很重要。该框架包括根据最大地震系数(k_(max))和地震系数时程的最大速度(k–vel_(max))预测滑动块的地震荷载。预测模型是峰值地面加速度(PGA),峰值地面速度(PGV),滑动质量的自然周期(T_s)和地震运动的平均周期(T_m)的函数。滑动位移的经验预测模型使用k_(max)和k–vel_(max)代替PGA和PGV,并包括一个与滑动质量的自然周期有关的术语。这个统一的框架为预测刚性(T_s = 0)和柔性(T_s> 0)坡度的滑动位移提供了一致的方法。

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