Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP
Deep excavation construction safety has become a challenging and crucial aspect of modern infrastructure engineering, and its risk assessment is frequently carried out using the Fuzzy Analytic Hierarchy Process (FAHP). However, when using FAHP to evaluate the risks of deep excavation construction, t...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-05-01
|
| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1204721/full |
| _version_ | 1797815184976248832 |
|---|---|
| author | Shihao Liu Zhanping Song Zhanping Song Yong Zhang Desai Guo Yinhao Sun Tao Zeng Tao Zeng Jiangsheng Xie |
| author_facet | Shihao Liu Zhanping Song Zhanping Song Yong Zhang Desai Guo Yinhao Sun Tao Zeng Tao Zeng Jiangsheng Xie |
| author_sort | Shihao Liu |
| collection | DOAJ |
| description | Deep excavation construction safety has become a challenging and crucial aspect of modern infrastructure engineering, and its risk assessment is frequently carried out using the Fuzzy Analytic Hierarchy Process (FAHP). However, when using FAHP to evaluate the risks of deep excavation construction, the results of the weightings obtained through subjective weighting are heavily influenced by the subjective factors of the evaluators. In addition, using linear operators to calculate the risk level can easily cause a weakening effect on the influence of prominent risk factors, resulting in poor rationality of the evaluation results. To address these problems, this paper constructs a deep excavation construction risk evaluation model based on combined weighting and nonlinear FAHP. The WBS-RBS method is used to guide the construction of the risk evaluation index system for deep excavation construction. The combined weighting values of subjective and objective weightings are calculated through the game theory combined weighting method. The fuzzy relation matrix is constructed using the membership degree vector obtained from the expert evaluation method. Nonlinear operators are introduced for comprehensive calculation. According to the maximum membership degree principle, the final risk level of the excavation construction is obtained. The newly constructed model is applied to the risk analysis of the deep excavation construction of the Rongmin Science and Innovation Park project in Xi’an. The evaluation result for the excavation construction risk is N= [0.3125, 0.3229, 0.1939, 0.0854, 0.0854], and according to the maximum membership degree principle, the risk level of the excavation is classified as Level 2, which is a relatively low risk. Based on the deep excavation construction of the Rongmin Science and Innovation Park project, this paper discusses the differences between the new model and the traditional FAHP evaluation method, further verifies the reliability of the new model, optimizes the construction plan based on the evaluation results, avoids risks, and determines its guiding significance. |
| first_indexed | 2024-03-13T08:18:52Z |
| format | Article |
| id | doaj.art-9cfce92e63454ceead95c45570d34769 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-13T08:18:52Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-9cfce92e63454ceead95c45570d347692023-05-31T11:03:31ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-05-011110.3389/feart.2023.12047211204721Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHPShihao Liu0Zhanping Song1Zhanping Song2Yong Zhang3Desai Guo4Yinhao Sun5Tao Zeng6Tao Zeng7Jiangsheng Xie8School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaSchool of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaKey Laboratory of Geotechnical and Underground Space Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaKey Laboratory of Geotechnical and Underground Space Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaSchool of Civil Engineering, Hunan University, Changsha, Hunan, ChinaChina Railway 20th Bureau Group Limited, Xi’an, ChinaSchool of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaKey Laboratory of Geotechnical and Underground Space Engineering, Xi’an University of Architecture and Technology, Xi’an, ChinaChina Railway 20th Bureau Group Limited, Xi’an, ChinaDeep excavation construction safety has become a challenging and crucial aspect of modern infrastructure engineering, and its risk assessment is frequently carried out using the Fuzzy Analytic Hierarchy Process (FAHP). However, when using FAHP to evaluate the risks of deep excavation construction, the results of the weightings obtained through subjective weighting are heavily influenced by the subjective factors of the evaluators. In addition, using linear operators to calculate the risk level can easily cause a weakening effect on the influence of prominent risk factors, resulting in poor rationality of the evaluation results. To address these problems, this paper constructs a deep excavation construction risk evaluation model based on combined weighting and nonlinear FAHP. The WBS-RBS method is used to guide the construction of the risk evaluation index system for deep excavation construction. The combined weighting values of subjective and objective weightings are calculated through the game theory combined weighting method. The fuzzy relation matrix is constructed using the membership degree vector obtained from the expert evaluation method. Nonlinear operators are introduced for comprehensive calculation. According to the maximum membership degree principle, the final risk level of the excavation construction is obtained. The newly constructed model is applied to the risk analysis of the deep excavation construction of the Rongmin Science and Innovation Park project in Xi’an. The evaluation result for the excavation construction risk is N= [0.3125, 0.3229, 0.1939, 0.0854, 0.0854], and according to the maximum membership degree principle, the risk level of the excavation is classified as Level 2, which is a relatively low risk. Based on the deep excavation construction of the Rongmin Science and Innovation Park project, this paper discusses the differences between the new model and the traditional FAHP evaluation method, further verifies the reliability of the new model, optimizes the construction plan based on the evaluation results, avoids risks, and determines its guiding significance.https://www.frontiersin.org/articles/10.3389/feart.2023.1204721/fulldeep excavationnonlinearityrisk assessmentFAHPgame theory methodWBS-RBS |
| spellingShingle | Shihao Liu Zhanping Song Zhanping Song Yong Zhang Desai Guo Yinhao Sun Tao Zeng Tao Zeng Jiangsheng Xie Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP Frontiers in Earth Science deep excavation nonlinearity risk assessment FAHP game theory method WBS-RBS |
| title | Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP |
| title_full | Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP |
| title_fullStr | Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP |
| title_full_unstemmed | Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP |
| title_short | Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP |
| title_sort | risk assessment of deep excavation construction based on combined weighting and nonlinear fahp |
| topic | deep excavation nonlinearity risk assessment FAHP game theory method WBS-RBS |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1204721/full |
| work_keys_str_mv | AT shihaoliu riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT zhanpingsong riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT zhanpingsong riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT yongzhang riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT desaiguo riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT yinhaosun riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT taozeng riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT taozeng riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp AT jiangshengxie riskassessmentofdeepexcavationconstructionbasedoncombinedweightingandnonlinearfahp |