scholarly journals Application of Probabilistic Method to Stability Analysis of Gravity Dam Foundation over Multiple Sliding Planes

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Gang Wang ◽  
Zhenyue Ma

The current challenge to the engineering profession is to carry out probabilistic methods in practice. The design point method in generalized random space (DPG method) associated with the method of divided difference can be utilized to deal with the complex problem of probability calculation of implicit performance function with nonnormal and correlated variables. For a practical concrete gravity dam, the suggested method is performed to calculate the instability probability of the dam foundation over multiple sliding places. The general conclusions drawn in the paper are identical to those in other research and the method is proved to be feasible, accurate, and efficient. As the same analysis principle, the method can also be used in other similar fields, such as in fields of slopes, earth-rock dams, levees, and embankments.

2014 ◽  
Vol 14 (05) ◽  
pp. 1440002 ◽  
Author(s):  
Quan Gu ◽  
Chengyi Yu ◽  
Peihui Lin ◽  
Xianzhang Ling ◽  
Liang Tang ◽  
...  

This paper performs degradation assessment and safety evaluation of a concrete gravity dam at Shenwo reservoir in Liaoning province of China by using two methods, i.e. deterministic method and probabilistic method, respectively. The deterministic responses of representative sluice piers are computed through static pushover and dynamic analyses. The probabilistic uncertainty analysis, including time invariant and time variant reliability analyses, is based on finite element (FE) reliability theory. For time invariant case, the material and loading parameters are considered as random variables, including elastic modulus, Poisson's ratio, mass density and pushover forces. For time variant case, the earthquake history is simulated by using random process, and the first-order reliability method (FORM) approximation combined with Koo's analytical solution is used to compute the mean upcrossing rate for given performance functions, through which the failure probabilities are calculated. Based on the analysis results using these two methods, the safety and reliability of the dam is assessed. Furthermore, the performance assessments of the dam in its current state are compared with those in the original state (i.e. when the dam was built) to quantify its performance degradation. Finally, the assessment results of using the deterministic and probabilistic methods are compared, and the discrepancies between them are quantified and explained. The computation is based on a general FE analysis platform for earthquake engineering simulation, OpenSees.


Author(s):  
Saran Srikanth Bodda ◽  
Harleen Kaur Sandhu ◽  
Abhinav Gupta

The March 2011 Fukushima Daiichi nuclear power plant disaster has highlighted the significance of maintaining the integrity of flood protection systems in the vicinity of a nuclear power plant. In the US, Oyster Creek nuclear plant was shut down when high storm surge during hurricane Sandy threatened its water intake and circulation systems. A gravity dam located upstream of a power plant can undergo seismic failure or flooding failure leading to flooding at the nuclear plant. In this paper, we present the results from a study on evaluating the fragilities for failure of a concrete gravity dam under both the flooding and the seismic events. Finite element analysis is used for modeling the seismic behavior as well as the seepage through foundation. A time-dependent analysis is considered to account for appropriate nonlinearities. Failure of dam foundation is characterized by rupture, and the failure of dam body is characterized by excessive deformation for the flooding and seismic loads respectively. The study presented in this paper has focused on a concrete gravity dam because of the need of validation of models which exist in prior studies only for concrete gravity dams. However, the concepts are directly applicable to any concrete flood defense structure.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Hui Liang ◽  
Shengshan Guo ◽  
Yifu Tian ◽  
Jin Tu ◽  
Deyu Li ◽  
...  

There are various uncertainties in the design, construction, and operation of dams. These uncertainties have an important impact on the seismic response and seismic safety evaluation of concrete dams. In this research, a typical nonoverflow monolith of a concrete gravity dam is selected as a case study for the sliding stability analysis. Based on the analysis and demonstration of parameter sensitivity of friction coefficients and cohesion and their influence on the deep antisliding stability of the dam-foundation system, the probabilistic seismic analysis of a gravity dam-foundation system is carried out through Monte Carlo analysis with a large sample number. Damage levels are defined based on the sliding instability failure mode along with the corresponding threshold values of the damage index. Thus, seismic fragility analysis is investigated, and seismic fragility curves are obtained for the vulnerability assessment under earthquake hazards. The overall seismic stability of the gravity dam is evaluated, which provides the basis for the seismic safety evaluation in the probabilistic framework.


2014 ◽  
Vol 1073-1076 ◽  
pp. 1729-1732
Author(s):  
Nian Nian Xi ◽  
Fu Guo Tong ◽  
Gang Liu ◽  
Tao Zhong

This paper is committed to analyze the results of numerical simulation in the dam foundation seepage field of Guxue concrete gravity dam with the finite element method. The results show that the cutoff wall depth of the Guxue dam foundation seriously impacts the seepage effect of cutoff wall. The cutoff wall initially becomes deeper, the reduction of seepage discharge is distinct to reach 24%, as the depth increases gradually, the seepage discharge reduces slowly and can only reach 7%. In a word, the cutoff wall depth of Guxue concrete gravity dam exists a reasonable value and the numerical result is15m in this paper.


2018 ◽  
Vol 9 (5) ◽  
pp. 181
Author(s):  
Machach Laila ◽  
Mouzzoun Mouloud ◽  
Moustachi Oum El Khaiat ◽  
Taleb Ali

Sign in / Sign up

Export Citation Format

Share Document