Permeable pavements have been widely used as an effective means to improve hydrological characteristics and the ecology of the urban environment. This study aims to investigate the response of fully permeable pavement (FPP) subjected to dynamic loading under dry and saturated conditions. A full-scale test track topped with polyurethane bound permeable material (PUPM) was built to obtain the stress response with an accelerated pavement test (APT) system. In addition, comprehensive analyses were performed based on the coupled Stress-dependent Moisture-sensitive Cross-anisotropic Elastoplastic (SMAEP) model in FEM. The APT test showed that the worst state was observed when the pavement structure was fully saturated, and that and brittle failure of the pavement surface occurred when the critical load level was achieved. The prediction of vertical stress predicted by Stress-dependent Cross-anisotropic Elastic (SAE) and SMAEP were both validated with the field data. The horizontal stress predicted by SAE gave a very high and unreasonable tensile stress prediction at the bottom of the unbounded granular base (UGB) layer when subjected to the high load level. With the consideration of moisture effect and the plastic properties of the material, the prediction made by SMAEP is effective to estimate the dynamic response of the UGB layer. Based on the sensitivity analysis, the optimized designs for FPP based on PUPM were suggested.

透水路面已被广泛用作改善水文特征和城市环境生态的有效手段。这项研究旨在研究在干燥和饱和条件下动力荷载作用下的全渗透路面（FPP）的响应。建立了覆盖有聚氨酯粘结渗透性材料（PUPM）的全尺寸测试轨道，以通过加速路面测试（APT）系统获得应力响应。此外，在有限元模型中，基于耦合的应力依赖性湿敏交叉各向异性弹塑性（SMAEP）模型进行了综合分析。APT测试表明，当路面结构完全饱和时，观察到最坏的状态；当达到临界载荷水平时，路面发生脆性破坏。实测数据验证了应力依赖的横观各向异性弹性（SAE）和SMAEP预测的垂直应力。SAE预测的水平应力在承受高载荷水平时会在无边界颗粒基底（UGB）层的底部提供非常高且不合理的拉伸应力预测。考虑到水分效应和材料的塑性，SMAEP所做的预测可有效地估算UGB层的动态响应。在敏感性分析的基础上，提出了基于PUPM的FPP优化设计方案。SAE预测的水平应力在承受高载荷水平时会在无边界颗粒基底（UGB）层的底部提供非常高且不合理的拉伸应力预测。考虑到水分效应和材料的塑性，SMAEP所做的预测可有效地估算UGB层的动态响应。在敏感性分析的基础上，提出了基于PUPM的FPP优化设计方案。SAE预测的水平应力在承受高载荷水平时会在无边界颗粒基底（UGB）层的底部提供非常高且不合理的拉伸应力预测。考虑到水分效应和材料的塑性，SMAEP所做的预测可有效地估算UGB层的动态响应。在敏感性分析的基础上，提出了基于PUPM的FPP优化设计方案。