3D transient numerical flow simulation of groundwater bypass seepage at the dam site of Dongzhuang hydro-junction

Jiang, Tong; Zhang, Junran; Wan, Weifeng; Cui, Shuai; Dongpin, Deng

doi:10.1016/j.enggeo.2017.10.022

Cited by 22 publications

(9 citation statements)

References 25 publications

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“…Step 4. Polynomial fitting without mixed terms based on variable x i and corresponding g i can be approximated in equation (6), and the multiple correlation coefficient R 2 1 can be obtained.…”

Section: Order Identificationmentioning

confidence: 99%

“…. , x n− 1 i may not simultaneously exist in equation (6). Multiple correlation coefficient R 2 2 of the remaining terms can be used to exclude the unimportant order of x i .…”

Section: Order Identificationmentioning

confidence: 99%

“…e importance of variables is highly correlated with the variable contribution to the uncertainty of response. e variance σ 2 g i of the response of a single variable can be obtained based on equation (6). e importance level can be defined as follows:…”

Section: Important Level Estimation and Possible Mixed Terms Of Variamentioning

confidence: 99%

“…In recent years, a large number of earth-rockfill dams have been reinforced in China by adding a new concrete cut-off wall or an impervious curtain [4]. Although the waterhead in the downstream is dropped, the bypass seepage gradient still plays a controlling role [5,6], so that the bypass seepage analysis should be considered as a 3D problem. At present, a seepage gradient less than an allowable value is adopted to represent the instability criteria of seepage failure, but the deterministic analysis cannot reflect the parameter uncertainty of bypass seepage effectively.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Analysis for Bypass Seepage Stability of Complex Reinforced Earth-Rockfill Dam with High-Order Practical Stochastic Response Surface Method

Ping

2019

Mathematical Problems in Engineering

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Practical stochastic response surface method (SRSM) using ordinary high-order polynomials with mixed terms to approximate the true limit state function (LSF) is proposed to analyze the reliability of bypass seepage stability of earth-rockfill dam. Firstly, the orders of random variable are determined with a univariate fitting. Secondly, nonessential variables are excluded to identify possible mixed terms. Thirdly, orthogonal table is used to arrange additional samples, and stepwise regression is conducted to achieve a specific high-order response surface polynomial (RSP). Fourthly, Monte Carlo simulation (MCS) is used to calculate the failure probability, and RSP is updated by arranging several additional samplings around the design point. At last, the Bantou complex reinforced earth-rockfill dam was taken as an example. There are 6 random variables, that is, the upper water level and 5 hydraulic conductivities (HCs). The result shows that a third-order RSP can ensure good precision, and the failure probability of bypass seepage stability is 3.680×10−5 within an acceptable risk range. The HC of concrete cut-off wall and the HC of rockfill are unimportant random variables. Maximum failure probability at the bank slope has positive correlation with the HC of curtain and the upper water level, negative correlation with the HC of alluvial deposits, and less significance with the HC of filled soil. With the increase of coefficient of variation (Cov) of the HC of curtain, the bypass seepage failure probability increases dramatically. Practical SRSM adopts a nonintrusive form. The reliability analysis and the bypass seepage analysis were conducted separately; therefore, it has a high computational efficiency. Compared with the existing SRSM, the RSP of practical SRSM is simpler and the procedure of the reliability analysis is easier. This paper provides a further evidence for readily application of the high-order practical SRSM to engineering.

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Section: Order Identificationmentioning

confidence: 99%

“…. , x n− 1 i may not simultaneously exist in equation (6). Multiple correlation coefficient R 2 2 of the remaining terms can be used to exclude the unimportant order of x i .…”

Section: Order Identificationmentioning

confidence: 99%

Section: Important Level Estimation and Possible Mixed Terms Of Variamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reliability Analysis for Bypass Seepage Stability of Complex Reinforced Earth-Rockfill Dam with High-Order Practical Stochastic Response Surface Method

Ping

2019

Mathematical Problems in Engineering

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“…e seepage field in the whole concerned area can be analyzed using numerical simulation techniques, such as finite element method (FEM), and the effects of material composition, seepage characteristics of various materials, seepage control measures, and seepage boundary conditions on the seepage field can be investigated. erefore, numerical simulation has been extensively applied to seepage analysis of foundation seepage (e.g., [1][2][3][4][5][6][7][8]). e values of seepage parameters such as permeability coefficients have a great influence on the numerical simulation results of foundation seepage.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation

Fan

Liu

et al. 2019

Advances in Civil Engineering

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For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.

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Numerical simulation study on the seepage characteristics of coal seam infusion effected by mining-induced stress

Xin

Cheng

et al. 2021

Bull Eng Geol Environ

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3D transient numerical flow simulation of groundwater bypass seepage at the dam site of Dongzhuang hydro-junction

Cited by 22 publications

References 25 publications

Reliability Analysis for Bypass Seepage Stability of Complex Reinforced Earth-Rockfill Dam with High-Order Practical Stochastic Response Surface Method

Reliability Analysis for Bypass Seepage Stability of Complex Reinforced Earth-Rockfill Dam with High-Order Practical Stochastic Response Surface Method

Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation

Numerical simulation study on the seepage characteristics of coal seam infusion effected by mining-induced stress

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