Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data
Liquefaction occurs when saturated, non-cohesive soil loses strength. This phenomenon occurs as the water pressure in the pores rises and the effective stress drops because of dynamic loading. Liquefaction potential is a ratio for the factor of safety used to figure out if the soil can be liquefied,...
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| Format: | Article |
| Language: | English |
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Pouyan Press
2022-07-01
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| Series: | Journal of Soft Computing in Civil Engineering |
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| Online Access: | http://www.jsoftcivil.com/article_158237_8c5e7e119e44a5eda3e51ebda7574bd7.pdf |
| _version_ | 1797974099025199104 |
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| author | Himanshu Jangir Rupali Satavalekar |
| author_facet | Himanshu Jangir Rupali Satavalekar |
| author_sort | Himanshu Jangir |
| collection | DOAJ |
| description | Liquefaction occurs when saturated, non-cohesive soil loses strength. This phenomenon occurs as the water pressure in the pores rises and the effective stress drops because of dynamic loading. Liquefaction potential is a ratio for the factor of safety used to figure out if the soil can be liquefied, and liquefaction-induced settlements happen when the ground loses its ability to support construction due to liquefaction. Traditionally, empirical and semi-empirical methods have been used to predict liquefaction potential and settlements that are based on historical data. In this study, MATLAB's Fuzzy Tool Adaptive Neuro-Fuzzy Inference System (ANFIS) (sub-clustering) was used to predict liquefaction potential and liquefaction-induced settlements. Using Cone Penetration Test (CPT) data, two ANFIS models were made: one to predict liquefaction potential (LP-ANFIS) and the other to predict liquefaction-induced settlements (LIS-ANFIS). The RMSE correlation for the LP-ANFIS model (input parameters: Depth, Cone penetration, Sleeve Resistance, and Effective stress; output parameters: Liquefaction Potential) and the LIS-ANFIS model (input parameters: Depth, Cone penetration, Sleeve Resistance, and Effective stress; output parameters: Settlements) was 0.0140764 and 0.00393882 respectively. The Coefficient of Determination (R2) for both the models was 0.9892 and 0.9997 respectively. Using the ANFIS 3D-Surface Diagrams were plotted to show the correlation between the CPT test parameters, the liquefaction potential, and the liquefaction-induced settlements. The ANFIS model results displayed that the considered soft computing techniques have good capabilities to determine liquefaction potential and liquefaction-induced settlements using CPT data. |
| first_indexed | 2024-04-11T04:14:41Z |
| format | Article |
| id | doaj.art-fd2a100e737447b1b55e650b7ca3706e |
| institution | Directory Open Access Journal |
| issn | 2588-2872 |
| language | English |
| last_indexed | 2024-04-11T04:14:41Z |
| publishDate | 2022-07-01 |
| publisher | Pouyan Press |
| record_format | Article |
| series | Journal of Soft Computing in Civil Engineering |
| spelling | doaj.art-fd2a100e737447b1b55e650b7ca3706e2023-01-01T03:51:34ZengPouyan PressJournal of Soft Computing in Civil Engineering2588-28722022-07-016311913910.22115/scce.2022.345237.1456158237Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test DataHimanshu Jangir0Rupali Satavalekar1Mtech Student, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, Punjab, IndiaAssistant Professor, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, Punjab, IndiaLiquefaction occurs when saturated, non-cohesive soil loses strength. This phenomenon occurs as the water pressure in the pores rises and the effective stress drops because of dynamic loading. Liquefaction potential is a ratio for the factor of safety used to figure out if the soil can be liquefied, and liquefaction-induced settlements happen when the ground loses its ability to support construction due to liquefaction. Traditionally, empirical and semi-empirical methods have been used to predict liquefaction potential and settlements that are based on historical data. In this study, MATLAB's Fuzzy Tool Adaptive Neuro-Fuzzy Inference System (ANFIS) (sub-clustering) was used to predict liquefaction potential and liquefaction-induced settlements. Using Cone Penetration Test (CPT) data, two ANFIS models were made: one to predict liquefaction potential (LP-ANFIS) and the other to predict liquefaction-induced settlements (LIS-ANFIS). The RMSE correlation for the LP-ANFIS model (input parameters: Depth, Cone penetration, Sleeve Resistance, and Effective stress; output parameters: Liquefaction Potential) and the LIS-ANFIS model (input parameters: Depth, Cone penetration, Sleeve Resistance, and Effective stress; output parameters: Settlements) was 0.0140764 and 0.00393882 respectively. The Coefficient of Determination (R2) for both the models was 0.9892 and 0.9997 respectively. Using the ANFIS 3D-Surface Diagrams were plotted to show the correlation between the CPT test parameters, the liquefaction potential, and the liquefaction-induced settlements. The ANFIS model results displayed that the considered soft computing techniques have good capabilities to determine liquefaction potential and liquefaction-induced settlements using CPT data.http://www.jsoftcivil.com/article_158237_8c5e7e119e44a5eda3e51ebda7574bd7.pdfsettlementsadaptive neuro-fuzzy inference system (anfis)liquefactionliquefaction-potentialsub-clusteringmatlab |
| spellingShingle | Himanshu Jangir Rupali Satavalekar Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data Journal of Soft Computing in Civil Engineering settlements adaptive neuro-fuzzy inference system (anfis) liquefaction liquefaction-potential sub-clustering matlab |
| title | Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data |
| title_full | Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data |
| title_fullStr | Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data |
| title_full_unstemmed | Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data |
| title_short | Evaluating Adaptive Neuro-Fuzzy Inference System (ANFIS) To Assess Liquefaction Potential And Settlements Using CPT Test Data |
| title_sort | evaluating adaptive neuro fuzzy inference system anfis to assess liquefaction potential and settlements using cpt test data |
| topic | settlements adaptive neuro-fuzzy inference system (anfis) liquefaction liquefaction-potential sub-clustering matlab |
| url | http://www.jsoftcivil.com/article_158237_8c5e7e119e44a5eda3e51ebda7574bd7.pdf |
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