Preliminary estimation of rock-fall lateral dispersion by laboratory test

作     者：Louis Ngai Yuen Wong Zhicheng Tang Louis Ngai Yuen Wong;Zhicheng Tang

作者机构：Department of Earth SciencesThe University of Hong KongHong KongChina Faculty of EngineeringChina University of GeosciencesWuhan430074China 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)

年 卷 期：2023年第15卷第12期

页      面：3343-3351页

核心收录：

学科分类：08[工学] 0818[工学-地质资源与地质工程] 080104[工学-工程力学] 0815[工学-水利工程] 0813[工学-建筑学] 0814[工学-土木工程] 0801[工学-力学（可授工学、理学学位）] 

基　　金：support from the Natural Science Foundation of China(Grant Nos.42177165 and 41672302) the Opening fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology)(Grant No.SKLGP2018K018) 

主　　题：Rockfall Block shape Slope angle Oblique impact Lateral dispersion 

摘      要：Lateral dispersion significantly directs the assessment of rockfall hazard and design of countermeasures. In the present study, the dependence of lateral dispersion on different controlling factors has been systematically evaluated by performing laboratory tests using three different rock block types, namely circular block, and two types of elliptical block. The three types of rock block are released onto an inclined surface with the identical initial status. Parallel, anti-parallel, and oblique impact tests set at slope angles of 22.5° and 45°are conducted to study the block-slope interaction of rockfall. Lateral dispersion of rockfall is less influenced by the block shape for the oblique impact, while the post-impact behaviors are greatly affected by the block shape. The key factors influencing the deviation of the post-impact trajectory direction are the slope angle (θ) and direction difference (Δφ). An empirical model is then developed to characterize the deviation distribution of lateral dispersion by 5th and 95th percentile values with the inclusion of the two key factors. Linear function can be used to describe the 5th percentile boundary, while hyperbolic function is good for the 95th percentile boundary, which need to be validated by field tests in the subsequent research.