摘要
传统岩土边坡可靠度分析常使用Monte Carlo方法随机抽样形成大量随机参数样本,再经过大量的分析计算得到边坡概率失稳结果,需耗费大量人力、物力。针对该问题,本研究旨在探究主动代理学习模型在岩土边坡可靠度分析中的重要性。首先,借助Matlab软件编制Monte Carlo-Flac^(3D)模型批量自动化计算程序,实现10 000组Flac~(3D)数值模型分析。其次,对比10 000组Monte Carlo-Flac^(3D)模型和主动代理学习模型的计算效率,其中10 000次数值分析所耗费的时间为34工时,而主动代理学习模型所耗费的总时间仅在于数十次的学习样本构建时间,计算效率有了数百倍的提升。最后,结合计算结果表明数值模拟与主动代理学习模型的分析结果高度相似,仅通过数十次数值计算便能近似上10 000次Flac^(3D)的计算结果。综上,在计算效率和精度上,主动代理学习模型明显优势显著,突显了其在边坡可靠度分析中的重要性。未来边坡工程风险评估可采用主动代理学习模型替代复杂的物理模型计算方法,为边坡失稳的定量风险评估提供可靠支撑。
The traditional reliability analysis of rock and soil slopes often uses Monte Carlo method to randomly sample a large number of random parameter samples, and then obtains the slope probability instability results through a large number of analysis and calculation, which requires a lot of manpower and material resources. Aiming at this problem, this study aims to explore the importance of active agent learning model in reliability analysis of rock and soil slopes. Firstly, the batch automatic calculation program of Monte Carlo-Flac~(3D) model is compiled with Matlab software to realize the analysis of 10 000 sets of Flac~(3D) numerical models. Secondly, the computational efficiency of 10 000 groups of Monte Carlo-Flac~(3D) models and active agent learning models is compared. Among them, the time spent on 10 000 numerical analysis is 34 man-hours, while the total time spent on the active agent learning model is only dozens of learning sample construction time, and the computational efficiency has been improved by hundreds of times. Finally, the calculation results show that the numerical simulation is highly similar to the analysis results of the active agent learning model, and the calculation results of tens of thousands of Flac~(3D) calculations can be approximated only by dozens of numerical calculations. In summary, in terms of computational efficiency and accuracy, the active agent learning model has obvious advantages, highlighting its importance in slope reliability analysis. In the future, the active agent learning model can be used to replace the complex physical model calculation method in the risk assessment of slope engineering, which can provide reliable support for the quantitative risk assessment of slope instability.
作者
翁彦梅
秦庆发
马贺雅
唐娅婷
WENG Yan-mei;QIN Qing-fa;MA He-ya;TANG Ya-ting(Yunnan Construction Investment First Survey and Design Co.,Ltd.,Kunming 650102,China)
出处
《地质灾害与环境保护》
2024年第3期89-94,共6页
Journal of Geological Hazards and Environment Preservation
关键词
边坡工程
参数不确定性
代理模型
可靠度分析
slope engineering
parameter uncertainty
agent model
reliability analysis
