Comprehensive evaluation of high rocky slope safety through an integrated analytic hierarchy process and extension matter model

2016 ◽  
Author(s):  
Anonymous
Keyword(s):  
Analytic Hierarchy Process ◽  
Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Rocky Slope ◽  
Matter Model ◽  
Hierarchy Process ◽  
Slope Safety

scholarly journals Comprehensive evaluation of high rocky slope safety through an integrated analytic hierarchy process and extension matter model

2016 ◽  
Author(s):  
H. Z. Su ◽  
M. Yang ◽  
Z. P. Wen
Keyword(s):  
Analytic Hierarchy Process ◽  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Behavior ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Rocky Slope ◽  
Matter Model ◽  
Hierarchy Process

Abstract. High rocky slope is an open complex giant system with 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 by 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 combining subjective and objective comprehensive evaluation process, a more objective manner 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 behavior of high rocky slope. This study was the first application of proposed integrated evaluation method to safety assessment of high rocky slope, which also indicated that it can also be applied to other similar problems.

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

2016 ◽  
Vol 16 (6) ◽  
pp. 1449-1463 ◽  
Author(s):  
Huaizhi Su ◽  
Meng Yang ◽  
Zhiping Wen
Keyword(s):  
Analytic Hierarchy Process ◽  
Safety Assessment ◽  
Evaluation Method ◽  
Subjective Effects ◽  
Quantitative Information ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Rocky Slope ◽  
Hierarchy Process ◽  
Slope Safety

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.

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

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