Internal Stability Evaluation of Soils
Suffusion constitutes a major threat to the foundation of a dam, and the likelihood of suffusion is always determined by the internal stability of soils. It has been verified that internal stability is closely related to the grain size distribution (GSD) of soils. In this study, a numerical model is...
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doaj-d06fdd8f9d9747b7940833c42601619f2020-11-25T01:52:01ZengMDPI AGWater2073-44412019-07-01117143910.3390/w11071439w11071439Internal Stability Evaluation of SoilsQingfeng Feng0Hao-Che Ho1Teng Man2Jiaming Wen3Yuxin Jie4Xudong Fu5State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaOcean College, Zhejiang University, Hangzhou 310027, ChinaDepartment of Civil, Environmental, and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455-0116, USAState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaSuffusion constitutes a major threat to the foundation of a dam, and the likelihood of suffusion is always determined by the internal stability of soils. It has been verified that internal stability is closely related to the grain size distribution (GSD) of soils. In this study, a numerical model is developed to simulate the suffusion process. The model takes the combined effects of GSD and porosity (<i>n</i>) into account, as well as Wilcock and Crowe’s theory, which is also adopted to quantify the inception and transport of soils. This proposed model is validated with the experimental data and shows satisfactory performance in simulating the process of suffusion. By analyzing the simulation results of the model, the mechanism is disclosed on how soils with specific GSD behaving internally unstable. Moreover, the internal stability of soils can be evaluated through the model. Results show that it is able to distinguish the internal stability of 30 runs out of 36, indicating a 83.33% of accuracy, which is higher than the traditional GSD-based approaches.https://www.mdpi.com/2073-4441/11/7/1439suffusioninternal stabilitygrain size distribution (GSD) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingfeng Feng Hao-Che Ho Teng Man Jiaming Wen Yuxin Jie Xudong Fu |
spellingShingle |
Qingfeng Feng Hao-Che Ho Teng Man Jiaming Wen Yuxin Jie Xudong Fu Internal Stability Evaluation of Soils Water suffusion internal stability grain size distribution (GSD) |
author_facet |
Qingfeng Feng Hao-Che Ho Teng Man Jiaming Wen Yuxin Jie Xudong Fu |
author_sort |
Qingfeng Feng |
title |
Internal Stability Evaluation of Soils |
title_short |
Internal Stability Evaluation of Soils |
title_full |
Internal Stability Evaluation of Soils |
title_fullStr |
Internal Stability Evaluation of Soils |
title_full_unstemmed |
Internal Stability Evaluation of Soils |
title_sort |
internal stability evaluation of soils |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2019-07-01 |
description |
Suffusion constitutes a major threat to the foundation of a dam, and the likelihood of suffusion is always determined by the internal stability of soils. It has been verified that internal stability is closely related to the grain size distribution (GSD) of soils. In this study, a numerical model is developed to simulate the suffusion process. The model takes the combined effects of GSD and porosity (<i>n</i>) into account, as well as Wilcock and Crowe’s theory, which is also adopted to quantify the inception and transport of soils. This proposed model is validated with the experimental data and shows satisfactory performance in simulating the process of suffusion. By analyzing the simulation results of the model, the mechanism is disclosed on how soils with specific GSD behaving internally unstable. Moreover, the internal stability of soils can be evaluated through the model. Results show that it is able to distinguish the internal stability of 30 runs out of 36, indicating a 83.33% of accuracy, which is higher than the traditional GSD-based approaches. |
topic |
suffusion internal stability grain size distribution (GSD) |
url |
https://www.mdpi.com/2073-4441/11/7/1439 |
work_keys_str_mv |
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1724995268243357696 |