An approach using multi-factor combination to evaluate high rocky slope safety

Abstract

Abstract. A high rocky slope is an open complex giant system for which there is contradiction among different influencing factors and coexistence of qualitative and quantitative information. This study presents a comprehensive intelligent evaluation method of high rocky slope safety through an integrated analytic hierarchy process, extension matter element model and entropy weight to assess the safety behavior of the high rocky slope. The proposed intelligent evaluation integrates subjective judgments derived from the analytic hierarchy process with the extension matter model and entropy weight into a multiple indexes dynamic safety evaluation approach. A combined subjective and objective comprehensive evaluation process, a more objective study, through avoiding subjective effects on the weights, and a qualitative safety assessment and quantitative safety amount are presented in the proposed method. The detailed computational procedures were also provided to illustrate the integration process of the above methods. Safety analysis of one high rocky slope is conducted to illustrate that this approach can adequately handle the inherent imprecision and contradiction of the human decision-making process and provide the flexibility and robustness needed for the decision maker to better monitor the safety status of a high rocky slope. This study was the first application of the proposed integrated evaluation method in the safety assessment of a high rocky slope. The study also indicated that it can also be applied to other similar problems.

Dual criterion-based dynamic evaluation approach for dike safety

“…The Monte Carlo method, the first-order secondmoment method, and the point estimate method are often used to calculate the reliability. [17][18][19] The Monte Carlo method is based on mathematical statistical sampling and is not limited by analytical conditions. Theoretically, as long as the number of random samples is large enough, a relatively accurate solution can be obtained.…”

“…According to the process shown in Figure 6, the stability of dike slope under different water level differences is evaluated. The median safety factor F 0St of dike slope stability is determined by equation (19). The reliability-safety factor F &St of dike slope stability is determined by equation (22).…”

Weight analysis of influencing factors of dam break risk consequences

“…Previous research on the index system of risk consequences and its weight is not sufficient. The uncertainty of the impact of dam failure is explored and suggestions for the research index system are given (Lee and Noh, 2003;Wagenaar et al, 2016). The relationship among hazard-influencing factors and relationship between exposure and vulnerability factors are very complicated and the different types of flood including dam break flood can cause different degrees of life loss (Jonkman et al, 2018;Wisner and Uitto, 2009).…”

“…For example, the entropy weight method as one of the important methods of weight calculation, does not adequately consider the subjective opinions of experts. The analytic hierarchy process (AHP) is faced with the difficulty of consistency checking when dealing with the conditions of multiple factors (more than nine) (Su et al, 2016). When previous studies used the data of SCM to calculate weights, they had neglected the entropy when applying the SCM to convert subjective opinions, resulting in the imperfection of information utilization (Mithas et al, 2011;Wan et al, 2015).…”

Weight analysis of dam break risk consequences influencing factors

“…For examp le, entropy weight method as one of the important methods of weight calcu lation, does not adequately consider the subjective opinions of experts. The analytic hierarchy process (AHP) is faced with the difficu lty of consistency checking when dealing with the conditions of mu ltip le factors (>9) (Su et al, 2016). When previous studies used the data of Statistical Cloud Model (SCM) to calcu late weights, they had neglected the entropy when applied the SCM to convert the subjective opinions, resulting in the imperfection of informat ion utilization (Mithas et al, 2011;Wan et al, 2015).…”