A reliable prediction of the excess pore pressure build-up is essential in performing an effective site response analysis. In this study, centrifuge test measurements on mildly sloping ground subjected to ramped sinewaves are utilized to test the performances of three pore pressure models implemented in a one-dimensional (1D) site response analysis program conditioned on accumulated strain, energy, and stress, respectively. Three shear wave velocity (V_s) and relative density (D_r) profiles are utilized to account for the uncertainties in the soil properties. The pore pressure outputs calculated with the strain-based model is shown to be highly sensitive to V_s. Agreeable predictions are obtained near the surface, whereas the pore pressures at depths of 3 and 4 m are underestimated. The energy-based model significantly underestimates the pore pressure for all cases. The stress-based model is revealed to be less sensitive to V_s, whereas it is considerably dependent on D_r. Exceptional fit is achieved with a cone penetration test based D_r profile, whereas pore pressure is overestimated using the empirical liquefaction triggering chart to determine the cyclic strength. Further comparisons of the acceleration time histories illustrate the use of both the strain and energy-based models provide slightly higher and better estimates of the surface ground motion compared with that calculated with the stress-based model. Considering the sensitivity of the outputs, it is recommended to account for the uncertainties of soil properties and also to use both strain and stress-based models in performing 1D effective stress site response analyses.

对超孔隙压力累积的可靠预测对于执行有效的现场响应分析至关重要。在这项研究中，利用在受到斜坡正弦波的温和倾斜地面上的离心机测试测量来测试在分别以累积应变、能量和应力为条件的一维 (1D) 场地响应分析程序中实施的三个孔隙压力模型的性能. 三个横波速度 ( V _s ) 和相对密度 ( D _r ) 剖面被用来解释土壤特性的不确定性。使用基于应变的模型计算的孔隙压力输出显示对V _s高度敏感. 在地表附近获得了令人满意的预测，而在 3 和 4 m 深度处的孔隙压力被低估了。基于能量的模型显着低估了所有情况下的孔隙压力。显示基于应力的模型对V _s不太敏感，而它在很大程度上取决于D _r。基于D _r的锥入度测试实现了出色的配合剖面图，而使用经验液化触发图来确定循环强度会高估孔隙压力。加速时间历程的进一步比较表明，与使用基于应力的模型计算的相比，使用基于应变和基于能量的模型提供了更高和更好的地表运动估计。考虑到输出的敏感性，建议考虑土壤特性的不确定性，并在执行一维有效应力站点响应分析时同时使用基于应变和应力的模型。