Stability Charts for Closely Spaced Strip Footings on Hoek–Brown Rock Mass

Abstract

Footings are constructed closely to each other in mountainous rock areas and the determination of closely spaced bearing capacity footings on rock masses has become an important topic of recent research. The primary aim of this paper is to determine an efficiency factor, just like in the design of a pile group, that can be used to evaluate the bearing capacity of closely spaced footings on Hoek–Brown mass. The advanced finite element limit analysis of upper and lower bound theorems is used to study the stability of two and multiple interfering footings using the Hoek–Brown parameters such as GSI (geological strength index) and mi (Hoek–Brown yield parameter). This study found that the efficiency factor is influenced by three dimensionless parameters including GSI, mi, and S/B. Failure mechanisms of the problems are also investigated, and stability charts and tables produced for practical uses. Overall, these results broadly support the common understanding of the two key parameters GSI and mi in the HB failure criterion. As a result of these investigations, suggestions were identified for future research.

A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load

“…Several researchers have widely employed this HB criterion to produce various stability solutions for many rock engineering problems in the past. For the studies of vertically loaded foundations on rock masses, the bearing capacity solutions to this problem have been proposed by many previous studies (e.g., Serrano and Olalla, 1994;Serrano and Olalla, 1998a;Serrano and Olalla, 1998b;Serrano et al, 2000;Yang and Yin, 2005;Merifield et al, 2006;Saada et al, 2008;Birid and Choudhury, 2021;Keawsawasvong, 2021;Yodsomjai et al, 2021;Keawsawasvong et al, 2022a;Jaiswal and Chauhan 2022;Roy and Koul, 2022). Nevertheless, investigating the bearing capacity factors for footings on rock masses under inclined and eccentric loading is quite limited.…”

Prediction of the Stability of Various Tunnel Shapes Based on Hoek–Brown Failure Criterion Using Artificial Neural Network (ANN)

“…Although this HB failure criterion may be employed to correctly define the failure characteristics of diverse rock types, it has been used to examine multiple challenges in the area of rock engineering, such as subterranean entrances and caves (e.g., Carranza-Torres and Fairhurst [5]; Carranza-Torres [6]; Fraldi and Guarracino [7]; Martin et al [8]; Sakurai [9]; Senent et al [10]; Swift and Reddish [11]; Yang and Huang [12,13]), bearing capacity and shaft resistance of foundations (e.g., AlKhafaji et al [14]; Chakraborty and Kumar [15]; Clausen [16]; Keshavarz and Kumarm [17]; Merifield, et al [18]; Saada et al [19]; Serrano and Olalla [20,21]; Yodsomjai et al [22]; Keawsawasvong [23]; Keawsawasvong et al [24,25]; Yang and Yin [26]), and stability analysis of rock slopes (Yodsomjai et al [27]; Deng et al [28]; Li et al [29,30]; Shen and Karakus, [31]; Shen et al [32]; Yang et al [33]; You et al [34]).…”