Research on the joint influence of multiple factors on the normal coefficient of restitution of rockfall

JI Zhongmin; ZHANG Sheng; WU Faquan; NIU Qinghe; WANG Keyi

doi:10.16030/j.cnki.issn.1000-3665.202105050

2022 Vol. 49, No. 2

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Article navigation > Hydrogeology & Engineering Geology > 2022 > 49(2): 164-173

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JI Zhongmin, ZHANG Sheng, WU Faquan, NIU Qinghe, WANG Keyi. Research on the joint influence of multiple factors on the normal coefficient of restitution of rockfall[J]. Hydrogeology & Engineering Geology, 2022, 49(2): 164-173. doi: 10.16030/j.cnki.issn.1000-3665.202105050

Citation:

JI Zhongmin, ZHANG Sheng, WU Faquan, NIU Qinghe, WANG Keyi. Research on the joint influence of multiple factors on the normal coefficient of restitution of rockfall[J]. Hydrogeology & Engineering Geology, 2022, 49(2): 164-173. doi: 10.16030/j.cnki.issn.1000-3665.202105050

Research on the joint influence of multiple factors on the normal coefficient of restitution of rockfall

1.
School of Civil Engineering, Shaoxing University, Shaoxing, Zhejiang　312000, China
2.
School of Civil Engineering, Zhengzhou University of Technology, Zhengzhou, Henan　450044, China
3.
College of Resources Environment and Jewelry, Jiangxi College of Applied Technology, Ganzhou, Jiangxi　341000, China
4.
School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei　050043, China
5.
School of Civil Engineering, Hebei University of Engineering, Handan, Hebei　056038, China

More Information

Corresponding author: WANG Keyi, 814207371@qq.com

Received Date: 22 May 2021

Revised Date: 06 August 2021

Publish Date: 15 March 2022

Abstract

Abstract

The normal coefficient of restitution (R_n) is the most critical input parameter in the prediction and analysis of rockfall disasters. Because of its many controlling factors, how to determine an accurate and reasonable value of R_n is still a difficult problem. In order to explore the law and mechanism of the joint influence of multiple factors on R_n, the response surface methodology-central composite design method is used to investigate the combined effect of seven factors on R_n for the first time. Through regression and variance analysis of the test results, the seven selected factors have the significant effects on R_n, and the order of significance is the impact angle (θ) > block hardness (H₁) > rotational speed (ω) > shape factor (η) > incident velocity (V) > slope hardness (H₂) > size (d). Many interaction parameters also show the significant effects on R_n, in the order of d−θ > H₁−d > V−η > H₁−ω > d−η > η−ω > H₁−η. For a single factor parameter, R_n increases with the decrease of d, V, η, θ and the increase of H₁, H₂, ω; for interaction parameters, d and ω have a weak effect on R_n, only when H₁ is small, and the effect gradually increases with the increase of H₁; η has a significant effect on R_n when H₁ is small, and the effect significantly decreases with the increase of H₁; when η is small, R_n increases significantly with the decrease of V or d, and this effect is not significant when η is large; when θ is small, R_n decreases rapidly with the increase of θ, and the decreasing trend slows down when θ is large. Compared with block with small η, the ω of block with larger η has a more significant effect on R_n. These conclusions can provide an important reference for the construction of the R_n calculation model of rockfall, and provide a basis for the accurate prediction and prevention of rockfall disasters.
- rockfall /
- normal coefficient of restitution /
- response surface /
- joint influence /
- interactive effect

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