FLAC软件在拦水坝稳定性分析中的应用-《中国安全生产科学技术》

文章信息/Info

作者:: 雷丁丁¹; ²; 马海涛¹; 刘勇锋¹; 周怡帆¹; （1.中国安全生产科学研究院，北京 100012） (2.北京科技大学，北京 100083)

Author(s):: LEI Dingding¹; ²; MA Haitao¹; LIU Yongfeng¹; ZHOU Yifan¹; (1.China Academy of Safety Science and Technology，Beijing 100012，China) (2.University of Science and Technology Beijing, Beijing 100083, China)

Keywords:: dams; fast lagrangian analysis of continua ( FLAC); stability; measureventilation resistance

摘要:: 坝体作为一个复杂的自然-人工系统，坝体的安全有效性受各种内外因素的影响，管理不当，容易引发各种安全环境问题。评估坝体工作十分重要，对提高坝体的本质安全状况和安全管理水平，减少和控制坝体运行中的危险、有害因素，降低坝体生产安全风险、预防事故发生，保护企业及下游居民的财产安全，保持坝区周边的社会稳定等方面都具有重要的意义。介绍了FLAC的概况，并根据已知的工程地质资料及岩石力学参数，用连续快速拉格朗日分析软件FLAC模拟了拦水坝的稳定性。通过模拟出坝体的应力应变和破坏场，了解坝体可能发生变形破坏的区域。为拦水坝的安全管理提供一些理论方面的依据。根据模拟出来的结果，提出了相应的解决措施，确保其正常运行，不至于发生垮坝事故，避免造成人员伤亡和经济损失。

Abstract:: As a complex natural  artificial system, the safety and efficacy of dam can be influenced by various internal and external factors, and is very easy to cause a variety of security and environment problems. Assessment of the dam is a very important to improve the intrinsic safety conditions of the dam and safety management level, to reduce and control the dangerous and harmful factors of the dam, to reduce the risk of dam safety in production, to prevent accidents, to protect enterprises and downstream residents and property, and to maintain the social stability of the surrounding area. It is of great significance. In this paper the overview of the fast lagrangian analysis of continua(FLAC) was introduced. According to the known engineering geological data and rock mechanics parameters, FLAC software was applied to simulate the stability of the dams. By simulating the stress\|strain and destruction field of the dam, the area that might occur deformation failure of the dam was understood. It could provide some theoretical basis for the safety management of dams. According to the simulation results, some specific measures to ensure its proper operation were put formard, in order to prevent accident, and to avoid casualties and economic losses.