文档介绍：Dam Safety Reliability Analysis Based on Artificial work
Hai Wei1,a, Huashu Yang1,b, Liang Wu1,c, Yue Gui2,d
1College of Electric Power Engineering, Kunming University of Science and Technology, Kunming
650051, China
2College of Civil Engineering and Architecture, Kunming University of Science and Technology,
Kunming 650224, China
aweihai2005@; byhs005914@; ckmu-wl@; d21176940@
Keywords: dam safety; artificial work (ANN); reliability analysis; statistical model
Abstract. There are many factors, such as climate, flood, material, geology, structure, management,
to influence dam safety. So dam safety evaluation, involving many fields, is plicated, and
very difficult to establish mathematic model for assessment. Artificial work (ANN) has
many obvious advantages to deal with these problems influenced by multi-factor, consequently is
widely used in engineering fields. This paper considered water level, temperature, main factors
influencing dam deformation, as random variables, employed ANN and statistical model to
establish performance function of dam hidden trouble deformation and abnormal deformation. Then
reliability theory was used to analyze dam safety reliability and sensitivity. The results show that
temperature has great effect on probability of dam hidden trouble deformation and abnormal
deformation than reservoir water level, due to great variability