Details
| Original language | English |
|---|---|
| Pages (from-to) | 3313-3326 |
| Number of pages | 14 |
| Journal | Engineering with computers |
| Volume | 39 |
| Issue number | 5 |
| Early online date | 7 Nov 2022 |
| Publication status | Published - Oct 2023 |
Abstract
Risk assessment of earth dams is concerned not only with the probability of failure but also with the corresponding consequence, which can be more difficult to quantify when the spatial variability of soil properties is involved. This study presents a risk assessment for an earth dam in spatially variable soils using the random adaptive finite element limit analysis. The random field theory, adaptive finite element limit analysis, and Monte Carlo simulation are employed to implement the entire process. Among these methods, the random field theory is first introduced to describe the soil spatial variability. Then the adaptive finite element limit analysis is adopted to obtain the bound solution and consequence. Finally, the failure probability and risk assessment are counted via the Monte Carlo simulation. In contrary to the deterministic analysis that only a factor of safety is given, the stochastic analysis considering the spatial variability can provide statistical characteristics of the stability and assess the risk of the earth dam failure comprehensively, which can be further used for guiding decision-making and mitigation. Besides, the effects of the correlation structure of strength parameters on the stochastic response and risk assessment of the earth dam are investigated through parametric analysis.
Keywords
- Monte Carlo simulation, Random adaptive finite element limit analysis, Random field theory, Risk assessment, Spatial variability
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
- Engineering(all)
- General Engineering
- Computer Science(all)
- Computer Science Applications
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In: Engineering with computers, Vol. 39, No. 5, 10.2023, p. 3313-3326.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis
AU - Liao, Kang
AU - Wu, Yiping
AU - Miao, Fasheng
AU - Pan, Yutao
AU - Beer, Michael
N1 - Funding Information: This research is supported by the National Natural Science Foundation of China (No. 41977244 and No. 42007267). The first author is supported by China Scholarship Council (CSC) as a visiting scholar at the Leibniz University Hannover, under grant No. 202006410089. All support are gratefully acknowledged.
PY - 2023/10
Y1 - 2023/10
N2 - Risk assessment of earth dams is concerned not only with the probability of failure but also with the corresponding consequence, which can be more difficult to quantify when the spatial variability of soil properties is involved. This study presents a risk assessment for an earth dam in spatially variable soils using the random adaptive finite element limit analysis. The random field theory, adaptive finite element limit analysis, and Monte Carlo simulation are employed to implement the entire process. Among these methods, the random field theory is first introduced to describe the soil spatial variability. Then the adaptive finite element limit analysis is adopted to obtain the bound solution and consequence. Finally, the failure probability and risk assessment are counted via the Monte Carlo simulation. In contrary to the deterministic analysis that only a factor of safety is given, the stochastic analysis considering the spatial variability can provide statistical characteristics of the stability and assess the risk of the earth dam failure comprehensively, which can be further used for guiding decision-making and mitigation. Besides, the effects of the correlation structure of strength parameters on the stochastic response and risk assessment of the earth dam are investigated through parametric analysis.
AB - Risk assessment of earth dams is concerned not only with the probability of failure but also with the corresponding consequence, which can be more difficult to quantify when the spatial variability of soil properties is involved. This study presents a risk assessment for an earth dam in spatially variable soils using the random adaptive finite element limit analysis. The random field theory, adaptive finite element limit analysis, and Monte Carlo simulation are employed to implement the entire process. Among these methods, the random field theory is first introduced to describe the soil spatial variability. Then the adaptive finite element limit analysis is adopted to obtain the bound solution and consequence. Finally, the failure probability and risk assessment are counted via the Monte Carlo simulation. In contrary to the deterministic analysis that only a factor of safety is given, the stochastic analysis considering the spatial variability can provide statistical characteristics of the stability and assess the risk of the earth dam failure comprehensively, which can be further used for guiding decision-making and mitigation. Besides, the effects of the correlation structure of strength parameters on the stochastic response and risk assessment of the earth dam are investigated through parametric analysis.
KW - Monte Carlo simulation
KW - Random adaptive finite element limit analysis
KW - Random field theory
KW - Risk assessment
KW - Spatial variability
UR - http://www.scopus.com/inward/record.url?scp=85141426141&partnerID=8YFLogxK
U2 - 10.1007/s00366-022-01752-0
DO - 10.1007/s00366-022-01752-0
M3 - Article
AN - SCOPUS:85141426141
VL - 39
SP - 3313
EP - 3326
JO - Engineering with computers
JF - Engineering with computers
SN - 0177-0667
IS - 5
ER -