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Estimating the properties of weathered bedrock and pile-rock interaction from the geological strength index

Journal of Mountain Science 2018年第8期15卷 1757-1776页

作者： ZHOU Chun-mei SHAO Wei YIN Kun-long YANG Zong-ji School of Civil Engineering and architecture Wuhan Institute of Technology Key laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters/School of Hydrology and Water Resources Nanjing University of Information Science and Technology Faculty of Engineering China University of Geosciences Key Laboratory of Mountain Hazards and Surface Processes Institute of Mountain Hazards and Environment Chinese Academy of Sciences

The effect of variable rock mass properties on pile-rock interaction poses a great challenge to the design of stabilizing piles and numerical analysis of pile-rock interaction. The paper presents a novel method to estimate the properties of weathered bedrock, which can be applied to routine design of landslide-stabilizing piles for collivial landslides. The Ercengyan landslide located in the Three Gorges Reservoir, China, is the area of interest for this study. A geological investigation and triaxial tests were conducted to estimate the basic parameters, including geological strength index(GSI), uniaxial compressive strength σ_(ci) and Hoek-Brown constant m_i of intact bedrock in the study area. Hoek-Brown criterion was used to estimate mechanical properties of the weathered rock, including elastic modulus E_m, cohesion c, friction angle Φ, and normal ultimate lateral resistance p_(max). A parametric study was performed to evaluate the effect of parameterizations of GSI, σ_(ci) and m_i on the bedrock properties and p-y curves. The estimated rock mass properties were used with PLAXIS 2D software to simulate pile-rock interaction. Effect of GSI on stress at the pile-rock interface and in the rock, pile bending moment, pile shear force, and p-y curve were analysed.

关键词： Landslide Stabilizing pile Weathered rock Pile-rock interaction geological strength index

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Stability analysis of underground mine hard rock pillars via combination of finite difference methods,neural networks,and Monte Carlo simulation techniques

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Underground Space 2021年第4期6卷 379-395页

作者： Chuanqi Lia Jian Zhou Danial Jahed Armaghani Xibing Li School of Resources and Safety Engineering Central South UniversityChangsha 410083China Department of Civil Engineering Faculty of EngineeringUniversity of Malaya50603 Kuala LumpurMalaysia

Pillar stability is always evaluated using the safety factor(SF),which is defined as the ratio of pillar strength to pillar ***,most researchers have estimated pillar stress using the pillar shape ratio(w/h),uniaxial compressive strength(UCS)of the intact rock mass,and pillar depth(H).In this study,the geological strength index(GSI)of hard rock pillars was considered as a new variable for predictive *** index was developed by combining numerical simulation software(i.e.,FLAC3D)and a backpropagation neural network(BPNN).A hard rock pillar stability analysis,based on three methods including deterministic method,sensitivity analysis,and Monte Carlo simulation(MCS),was performed.A new formula was proposed to estimate the SF values based on the predicted stress,considering the GSI variable in the deterministic *** sensitivity analysis indicated that the variables impacting the SF from high to low are UCS,GSI,w/h,and *** this study,pillar stability was analyzed mainly using the GSI and MCS *** MCS results revealed that the GSI is also a major factor in pillar stability and has a greater effect on weak pillars than on strong ***,a pillar is more likely to be unstable when both the GSI and the UCS are *** study provides several references and procedures for improving the design of stable pillars considering the GSI as an important factor.

关键词： Hard rock pillar Numerical simulation Neural networks Safety factor geological strength index Monte Carlo simulation

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