Shear behaviors and peak friction angle predictions of three critical geomembrane-soil interfaces
文献类型:期刊论文
作者 | Feng, Yanfang1; Wang, Dongxing1,2,3 |
刊名 | ACTA GEOTECHNICA
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出版日期 | 2023-10-20 |
页码 | 22 |
关键词 | Comprehensive formula Geomembrane-soil interface Machine learning Peak friction angle Prediction models |
ISSN号 | 1861-1125 |
DOI | 10.1007/s11440-023-02082-1 |
英文摘要 | The interface shear behavior is quite beneficial for explaining the stress-strain response of geosynthetics. A series of interface direct shear tests are carried out between three distinct geomembranes and soils to understand their interfacial characteristics. To better comprehend varying trends of the interface shear parameters, three novel prediction models based on machine learning are further developed for the peak friction angles of geomembrane-soil interfaces. The results show that the shear stress-shear displacement curves are more susceptible to the variations of soils' relative densities, particularly at the geomembrane-coarse sand interface. A conclusion of engineering significance is that coarse sand (D50 = 0.84 mm) is the most suitable material for the bedding layer of the composite geomembrane under sigma n >= 100 kPa and crushed stone (D50 = 7 mm) performs best in the perforated geomembranes-soil interface among the three types of soils. Upon comparing three predicting models for peak friction angles, a novel conclusion is gained that the gradient boosting regressor combined with Bayesian optimization is the most precise model. Then, a comprehensive formula for the peak friction angles containing normal stress, relative density, mean particle size and mean particle regularity is established. |
资助项目 | This work was supported by the National Natural Science Foundation of China (No. 52079098), the Fundamental Research Funds for the Central Universities (Wuhan University) (No. 2042022kf1219) and Open Research Fund of State Key Laboratory of Geomechanics an[52079098] ; National Natural Science Foundation of China[2042022kf1219] ; Fundamental Research Funds for the Central Universities (Wuhan University)[SKLGME021004] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[2022022202015074] ; Key Research and Development Program of Wuhan City |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:001088040900003 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://119.78.100.198/handle/2S6PX9GI/39773] ![]() |
专题 | 中科院武汉岩土力学所 |
通讯作者 | Wang, Dongxing |
作者单位 | 1.Wuhan Univ, Sch Civil Engn, 8 Donghu South Rd, Wuhan 430072, Peoples R China 2.Wuhan Univ, Key Lab Hydraul Rock Mech, Minist Educ, Wuhan 430072, Peoples R China 3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
推荐引用方式 GB/T 7714 | Feng, Yanfang,Wang, Dongxing. Shear behaviors and peak friction angle predictions of three critical geomembrane-soil interfaces[J]. ACTA GEOTECHNICA,2023:22. |
APA | Feng, Yanfang,&Wang, Dongxing.(2023).Shear behaviors and peak friction angle predictions of three critical geomembrane-soil interfaces.ACTA GEOTECHNICA,22. |
MLA | Feng, Yanfang,et al."Shear behaviors and peak friction angle predictions of three critical geomembrane-soil interfaces".ACTA GEOTECHNICA (2023):22. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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