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A novel reliability-based method of calibrating safety factor: Application to the cemented sand and gravel dams
Hao, Na1; Li, Xu2; Li, Yanlong3; Jia, Jinsheng4; Gao, Liang5
2022-09-05
Source PublicationEngineering Geology
ISSN0013-7952
Volume306
Abstract

The cemented sand and gravel (CSG) dam is newly developed. Currently, the allowable safety factors of CSG dams are not well established due to a lack of engineering experience. To meet this demand, a novel framework to calibrate allowable safety factors based on reliability theory is proposed in this study. First, a sample set of CSG dams with the same safety factor are collected. Second, the reliability indices of all dams are calculated, and the reliability index distribution is analyzed, which can reveal the relationship between the reliability index and the safety factor. Third, a 90% guaranteed rate is adopted to link the allowable safety factor with the target reliability index. Updated safety factors could be derived with consideration of the uncertainty of input parameters. Such safety factors are suitable for CSG dams with materials of large heterogeneity and dispersion. The allowable safety factors of CSG dams with structure grades I, II, and III are suggested to be 2.9, 2.6, and 2.2, respectively. Dam height and cohesion significantly have a significant impact on the allowable safety factors, with sensitivity coefficients ranging from 0.29 to 0.84 and from 0.05 to 0.25, respectively. A higher allowable safety factor corresponds to a dam with a higher dam height and lower cohesion. For the high dam (70 m < h < 200 m) with low cohesion (0.3 MPa < c < 0.7 MPa), the recommended allowable safety factor is estimated to be 3.3. The new design criterion is applied to five existing projects, which proves that the proposed method can yield reasonable results.

KeywordCsg Dam Reliability Analysis Safety Factor Stability
DOI10.1016/j.enggeo.2022.106719
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Geology
WOS SubjectEngineering, Geological ; Geosciences, Multidisciplinary
WOS IDWOS:000826374000003
Scopus ID2-s2.0-85132951069
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorLi, Yanlong
Affiliation1.Department of Geotechnical Engineering, School of Civil Engineering, Beijing Jiaotong University, Beijing, China
2.Key Laboratory of Urban Underground Engineering of Ministry of Education, Beijing Jiaotong University, Beijing, China
3.State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an City, China
4.China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
5.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao, China
Recommended Citation
GB/T 7714
Hao, Na,Li, Xu,Li, Yanlong,et al. A novel reliability-based method of calibrating safety factor: Application to the cemented sand and gravel dams[J]. Engineering Geology,2022,306.
APA Hao, Na,Li, Xu,Li, Yanlong,Jia, Jinsheng,&Gao, Liang.(2022).A novel reliability-based method of calibrating safety factor: Application to the cemented sand and gravel dams.Engineering Geology,306.
MLA Hao, Na,et al."A novel reliability-based method of calibrating safety factor: Application to the cemented sand and gravel dams".Engineering Geology 306(2022).
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