Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process
Many monitoring indexes affect the health condition of foundation pits to different extents. How to use a massive on-site monitoring dataset to quantitatively assess the health of foundation pits is a problem that deserves due consideration. This paper proposes a foundation pit health assessment mod...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/3245305 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565786019889152 |
|---|---|
| author | Jinbo Sun Ke Sun Liang Gong Sheng Gu Hao Hao |
| author_facet | Jinbo Sun Ke Sun Liang Gong Sheng Gu Hao Hao |
| author_sort | Jinbo Sun |
| collection | DOAJ |
| description | Many monitoring indexes affect the health condition of foundation pits to different extents. How to use a massive on-site monitoring dataset to quantitatively assess the health of foundation pits is a problem that deserves due consideration. This paper proposes a foundation pit health assessment model based on the fuzzy analytical hierarchy process (AHP) method. First, factors affecting the health of foundation pits are classified by the AHP, a hierarchical factor system for foundation pit health assessment is established, and the index scale method is used to assign weights to assessment factors at different hierarchical levels. Combined with the fuzzy mathematical method, the membership functions of four health degree levels (A to D) are constructed, and the determination range of each health degree level is given to realize the quantitative calculation of the health condition from the bottom-level assessment factor to the overall foundation pit. Considering that each assessment factor involves many monitoring points and different monitoring data, a comprehensive assessment operator is also constructed to highlight the most adverse impact. Finally, the proposed model is used to perform a health assessment of an actual foundation pit project, and the variation in the foundation pit health during the entire monitoring period is obtained. The health grade of the foundation pit is determined to be B, which is a basically healthy condition consistent with the on-site inspection results. |
| format | Article |
| id | doaj-art-6cd62c715678463b8c199899288731f3 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-6cd62c715678463b8c199899288731f32025-02-03T01:06:36ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/3245305Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy ProcessJinbo Sun0Ke Sun1Liang Gong2Sheng Gu3Hao Hao4School of Civil EngineeringSchool of Civil Engineering and ArchitectureSchool of Civil EngineeringSchool of Civil EngineeringManagement Committee of China (Nanjing) Software ValleyMany monitoring indexes affect the health condition of foundation pits to different extents. How to use a massive on-site monitoring dataset to quantitatively assess the health of foundation pits is a problem that deserves due consideration. This paper proposes a foundation pit health assessment model based on the fuzzy analytical hierarchy process (AHP) method. First, factors affecting the health of foundation pits are classified by the AHP, a hierarchical factor system for foundation pit health assessment is established, and the index scale method is used to assign weights to assessment factors at different hierarchical levels. Combined with the fuzzy mathematical method, the membership functions of four health degree levels (A to D) are constructed, and the determination range of each health degree level is given to realize the quantitative calculation of the health condition from the bottom-level assessment factor to the overall foundation pit. Considering that each assessment factor involves many monitoring points and different monitoring data, a comprehensive assessment operator is also constructed to highlight the most adverse impact. Finally, the proposed model is used to perform a health assessment of an actual foundation pit project, and the variation in the foundation pit health during the entire monitoring period is obtained. The health grade of the foundation pit is determined to be B, which is a basically healthy condition consistent with the on-site inspection results.http://dx.doi.org/10.1155/2022/3245305 |
| spellingShingle | Jinbo Sun Ke Sun Liang Gong Sheng Gu Hao Hao Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process Advances in Civil Engineering |
| title | Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process |
| title_full | Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process |
| title_fullStr | Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process |
| title_full_unstemmed | Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process |
| title_short | Health Assessment of Foundation Pit Based on the Fuzzy Analytical Hierarchy Process |
| title_sort | health assessment of foundation pit based on the fuzzy analytical hierarchy process |
| url | http://dx.doi.org/10.1155/2022/3245305 |
| work_keys_str_mv | AT jinbosun healthassessmentoffoundationpitbasedonthefuzzyanalyticalhierarchyprocess AT kesun healthassessmentoffoundationpitbasedonthefuzzyanalyticalhierarchyprocess AT lianggong healthassessmentoffoundationpitbasedonthefuzzyanalyticalhierarchyprocess AT shenggu healthassessmentoffoundationpitbasedonthefuzzyanalyticalhierarchyprocess AT haohao healthassessmentoffoundationpitbasedonthefuzzyanalyticalhierarchyprocess |