Safety Standard for Special Class Damslopes Based on Reliability Analysis

Abstract

The risk of slope failure is determined by the degree of damage caused by the slope slide. For the special-high slope of some high-risk water conservancy and hydropower projects, the standard should be appropriately raised. Thus, the safety standard for these slopes is explored on the basis of reliability analysis. The slopes with high risk of failure are divided into special class I and special class II slopes depending on the risk levels and acceptable risk standards. The concept of reliability theory-based relative ratio of the safety margin is utilized to establish the relationship between annual failure probability and safety factor, thereby obtaining the reasonable safety factors for different slopes. Results show that the values of safety factors for special class I and special class II are 1.40 and 1.35, respectively. These results can provide a reference for exploring the safety standards of dams with a height of more than 200 m.

Exploring acceptable risk in engineering and operations research and management science by bibliometric analysis

“…The applied research of acceptable risk theory is also developing in various subdisciplines of engineering and operations research and management science, and an increasing number of subdisciplines are trying to establish and apply risk acceptance criteria in their own fields, such as geological engineering (Corominas et al, 2005;Cortes-Puentes et al, 2021;Fell, 1994;Finlay & Fell, 1997;Tsang et al, 2020;Strouth & McDougall, 2021;X. L. Wang et al, 2014), oil and gas engineering (Aven, 1994;Aven & Pitblado, 1998;Bajcar et al, 2014;Vinnem, 2021;Wu et al, 2019), nuclear engineering and technology (Silva & Okamoto, 2018;Hayns, 1999;Huang et al, 2010), bridge and tunnel engineering (Arends et al, 2005;Pedersen et al, 2020;VanWeyenberge et al, 2016), construction engineering (Faber & Stewart, 2003;Hingorani et al, 2019;Huang et al, 2020;Rackwitz & Joanni, 2009;Tanner & Hingorani, 2015;Nasrollahi & Behnam, 2018), water resource engineering (Ge et al, 2017;S. Y. Li et al, 2015;Y.…”