文献类型：期刊文献

英文题名：Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

作者：Li, Bo[1];Zhou, Kaifeng[1];Ye, Jun[2];Sha, Peng[1]

机构：[1]Shaoxing Univ, Key Lab Rock Mech & Geohazards Zhejiang Prov, 508 Huancheng West Rd, Shaoxing 312000, Peoples R China;[2]Shaoxing Univ, Dept Elect & Informat Engn, 508 Huancheng West Rd, Shaoxing 312000, Peoples R China

年份：2019

卷号：9

期号：11

外文期刊名：APPLIED SCIENCES-BASEL

收录：SCI-EXPANDED(收录号：WOS:000472641200137)、、Scopus(收录号：2-s2.0-85067226826)、WOS

基金：This research was funded by National Natural Science Foundation of China grant number 51609136 and Zhejiang Provincial Natural Science Foundation of China Grant No. LGF18D020002.

语种：英文

外文关键词：rock slope stability assessment; probabilistic method; neutrosophic number; vector similarity measure; multiattribute classification

外文摘要：Featured Application A vector similarity measure under neutrosophic number environment was developed for rock slope stability assessments with multiple levels of attributes. This method does not require sophisticated modeling of slopes and the data demand is relatively low. It could serve as a quick preliminary method to identify the key influential parameters and the risk of natural hazards, such as rock slope failures. Abstract The stability of natural rock slopes is influenced by a wide spectrum of factors, such as mechanical properties of bedrocks and spatial distribution of discontinuities. Their specific values are typically incomplete, due mainly to the lack of effective and comprehensive methods to accurately characterize these factors, especially those inside of the slopes. The neutrosophic number is a useful tool to solve problems in indeterminate environment. This study introduces the neutrosophic theory into slope stability assessment. A vector similarity measure developed under neutrosophic environment was employed to establish a stability assessment method considering multilevel attributes of slopes. Using this method, the level of stability for studied slopes, i.e., stable, mostly stable, less stable, and instable, was determined by computing the relation indices. The method was applied to a group of rock slopes located in Zhejiang province, China, and the calculated results were compared with the reality of in situ survey. The field application showed that the developed method has a good efficiency and precision in assessing the stability of rock slopes. The obtained weight vector can reveal the key influential parameters that inherently control the stability of rock slopes.