摘要
针对传统的事件树、故障树具有二态性、独立性以及计算繁琐等局限性问题,提出了基于贝叶斯网络的岩质边坡开挖风险概率评估方法,构建了岩质边坡开挖滑坡事故的贝叶斯网络结构,计算了各风险因素的发生概率,并根据概率值的大小采取了有针对性的处理措施,为岩质边坡开挖风险概率评估提供了新思路。
Owing to limitations of binary-state, statistical independence and complicated calculation in traditional e vent tree and fault tree, this paper proposes the probability risk assessment of rocky slope excavation based on Bayesian Network. A logical model between landslide accident and risk factors is built through Bayesian Network and occurrence probability of each factor is calculated. According to the probability, efficient measures have been taken, which provides new ideas for probability risk assessment of rocky slope excavation.
出处
《水电能源科学》
北大核心
2013年第7期130-132,共3页
Water Resources and Power
基金
三峡大学研究生科研创新基金资助项目(2011CX014)
关键词
贝叶斯网络
岩质边坡
开挖风险
概率评估
滑坡事故
Bayesian Network
rocky slope
risk of excavation
probability assessment
landslide accident
