Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network
This paper proposes a probabilistic graphical model that integrates interpretive structural modeling (ISM) and Bayesian belief network (BBN) approaches to predict cone penetration test (CPT)-based soil liquefaction potential. In this study, an ISM approach was employed to identify relationships betw...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2021-10-01
|
| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2021454?viewType=HTML |
| _version_ | 1818750636286541824 |
|---|---|
| author | Mahmood Ahmad Feezan Ahmad Jiandong Huang Muhammad Junaid Iqbal Muhammad Safdar Nima Pirhadi |
| author_facet | Mahmood Ahmad Feezan Ahmad Jiandong Huang Muhammad Junaid Iqbal Muhammad Safdar Nima Pirhadi |
| author_sort | Mahmood Ahmad |
| collection | DOAJ |
| description | This paper proposes a probabilistic graphical model that integrates interpretive structural modeling (ISM) and Bayesian belief network (BBN) approaches to predict cone penetration test (CPT)-based soil liquefaction potential. In this study, an ISM approach was employed to identify relationships between influence factors, whereas BBN approach was used to describe the quantitative strength of their relationships using conditional and marginal probabilities. The proposed model combines major causes, such as soil, seismic and site conditions, of seismic soil liquefaction at once. To demonstrate the application of the propose framework, the paper elaborates on each phase of the BBN framework, which is then validated with historical empirical data. In context of the rate of successful prediction of liquefaction and non-liquefaction events, the proposed probabilistic graphical model is proven to be more effective, compared to logistic regression, support vector machine, random forest and naive Bayes methods. This research also interprets sensitivity analysis and the most probable explanation of seismic soil liquefaction appertaining to engineering perspective. |
| first_indexed | 2024-12-18T04:22:49Z |
| format | Article |
| id | doaj.art-a0a0673c5c944e6aa4776a55b92d6bfa |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-18T04:22:49Z |
| publishDate | 2021-10-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-a0a0673c5c944e6aa4776a55b92d6bfa2022-12-21T21:21:11ZengAIMS PressMathematical Biosciences and Engineering1551-00182021-10-011869233925210.3934/mbe.2021454Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief networkMahmood Ahmad0Feezan Ahmad1Jiandong Huang2Muhammad Junaid Iqbal3Muhammad Safdar 4Nima Pirhadi51. Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu 28100, Pakistan2. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China3. School of Mines, China University of Mining and Technology, Xuzhou 221116, China1. Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu 28100, Pakistan4. Earthquake Engineering Center, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan5. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610513, Sichuan, ChinaThis paper proposes a probabilistic graphical model that integrates interpretive structural modeling (ISM) and Bayesian belief network (BBN) approaches to predict cone penetration test (CPT)-based soil liquefaction potential. In this study, an ISM approach was employed to identify relationships between influence factors, whereas BBN approach was used to describe the quantitative strength of their relationships using conditional and marginal probabilities. The proposed model combines major causes, such as soil, seismic and site conditions, of seismic soil liquefaction at once. To demonstrate the application of the propose framework, the paper elaborates on each phase of the BBN framework, which is then validated with historical empirical data. In context of the rate of successful prediction of liquefaction and non-liquefaction events, the proposed probabilistic graphical model is proven to be more effective, compared to logistic regression, support vector machine, random forest and naive Bayes methods. This research also interprets sensitivity analysis and the most probable explanation of seismic soil liquefaction appertaining to engineering perspective.https://www.aimspress.com/article/doi/10.3934/mbe.2021454?viewType=HTMLbayesian belief networkcone penetration testliquefaction potentialinterpretive structural modelingsensitivity analysis |
| spellingShingle | Mahmood Ahmad Feezan Ahmad Jiandong Huang Muhammad Junaid Iqbal Muhammad Safdar Nima Pirhadi Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network Mathematical Biosciences and Engineering bayesian belief network cone penetration test liquefaction potential interpretive structural modeling sensitivity analysis |
| title | Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network |
| title_full | Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network |
| title_fullStr | Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network |
| title_full_unstemmed | Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network |
| title_short | Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network |
| title_sort | probabilistic evaluation of cpt based seismic soil liquefaction potential towards the integration of interpretive structural modeling and bayesian belief network |
| topic | bayesian belief network cone penetration test liquefaction potential interpretive structural modeling sensitivity analysis |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2021454?viewType=HTML |
| work_keys_str_mv | AT mahmoodahmad probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork AT feezanahmad probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork AT jiandonghuang probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork AT muhammadjunaidiqbal probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork AT muhammadsafdar probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork AT nimapirhadi probabilisticevaluationofcptbasedseismicsoilliquefactionpotentialtowardstheintegrationofinterpretivestructuralmodelingandbayesianbeliefnetwork |