【摘要】 高速公路光伏边坡是一种新兴产业，为探究其稳定性并提高三维模型计算效率，基于关联流动准则，采用FLAC^3D建立了光伏边坡的三维模型，提出了一种改进版的强度折减法（strength reduction method, SRM）。通过Python编程语言实现应力场加载、时步上限和强度折减系数的集成优化，以大幅提高安全系数（safety factor, FS）计算效率。同时，通过一个实际的光伏边坡案例，验证了所提方法的有效性。基于此，研究分析了单因素作用（黏聚力、内摩擦角、坡比、光伏桩基长度、光伏结构位置）和多因素耦合效应对光伏边坡FS的敏感性程度。结果表明，改进版SRM可在保证计算精度的同时大幅提升计算效率，在边坡上建设光伏发电系统对边坡稳定性影响不大，可见光伏边坡的大规模应用具有可行性。更多还原

【Abstract】 Highway photovoltaic slopes have been treated as an emerging application. To investigate their stability and improve the computational efficiency of three-dimensional models, a study was conducted based on the associated flow rule and a three-dimensional photovoltaic-slope model was developed in FLAC^3D. An improved strength reduction method（SRM） was proposed, and the integration and optimization of stress-field application, timestep upper limits, and strength-reduction factors were implemented using Python to substantially accelerate the calculation of the safety factor（FS）. The effectiveness of the proposed method was verified by means of a field photovoltaic-slope case. On this basis, the sensitivity of FS to single-factor influences（cohesion, internal friction angle, slope ratio, photovoltaic pile length, and photovoltaic structure position） and to multi-factor coupling effects was analyzed. The results indicate that the improved SRM can markedly enhance computational efficiency while preserving calculation accuracy, and that the installation of photovoltaic power systems on slopes exerts limited influence on slope stability, thereby demonstrating the feasibility of large-scale deployment of photovoltaic slopes.更多还原