外力长期作用引发的软岩裂隙扩展、模量衰减以及强度劣化过程均具有非常明显的时效特征，致使此类边坡极易出现蠕变-失稳现象，造成重大财产损失与人员伤亡。基于裂隙时效演化的软岩路堑边坡蠕变-失稳机理与长期稳定性预测方法值得深入探讨。本研究以原状软岩蠕变特性为基础，设计可再现蠕变特性的类软岩试样并研发预制裂隙技术；利用CT扫描、SEM以及数值图像处理技术揭示软岩裂隙时效演化规律与细观机理；构建考虑裂隙时效演化的软岩蠕变损伤本构模型；运用有限差分和离散元技术开发上述本构模型，结合初始裂隙生成算法开展软岩路堑边坡蠕变-失稳数值计算，得到裂隙、应力、应变场以及塑性区等的长期演化规律；开展大型离心模型试验，得到预制裂隙软岩路堑边坡典型破坏模式，提出软岩边坡蠕变-失稳判定指标、标准与长期稳定性预测方法。研究成果将进一步完善和发展软岩蠕变-破坏理论，对软岩路堑边坡的长期稳定性预测具有重要的理论与实践意义。

The process of fracture propagation, modulus attenuation and strength deterioration of soft rock caused by long-term external forces is obviously time-dependent, which makes such slopes very easy to be creep-failure, causing property losses and casualties. Creep-failure mechanism and long-term stability prediction method of soft rock cutting slope based on fracture aging evolution deserve further study. Based on the study of creep properties of undisturbed soft rock, this project designs soft rock-like specimens which can reproduce creep properties and develops prefabricated fracture skill. Reveals the aging evolution law and micro-mechanism of soft rock cracks by using CT scanning, SEM and numerical image processing technology. Constructs creep damage constitutive model of soft rock considering aging evolution of cracks. Develops the constitutive model above-mentioned by using finite difference and discrete element technology. Based on the model, the creep- failure numerical calculation of the soft rock cutting slope is carried out by combining the initial crack generation algorithm, and the long-term evolution laws of the fracture, stress, strain field and plastic zone are obtained. Large-scale centrifugal model tests are carried out to obtain the typical failure modes of the prefabricated fractured soft rock cutting slope. The index, criteria and long-term stability prediction method of soft rock cutting slope creep-failure will be put forward. The research results will further improve and develop the creep-failure theory of soft rock, as well as have important theoretical and practical significance for the long-term stability prediction of soft rock cutting slope.