A Vs-Based Logistic Regression Method for Liquefaction Evaluation
The current liquefaction evaluation methods mainly focus on the success rate for liquefied sites so that the evaluation result tends to be conservative at different seismic intensities. Therefore, a new formula about liquefaction evaluation by introducing logistic regression theory is proposed to so...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/5535387 |
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| _version_ | 1832550107962146816 |
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| author | Xiaofei Yao Lu Liu Zhihua Wang Zhifu Shen Hongmei Gao |
| author_facet | Xiaofei Yao Lu Liu Zhihua Wang Zhifu Shen Hongmei Gao |
| author_sort | Xiaofei Yao |
| collection | DOAJ |
| description | The current liquefaction evaluation methods mainly focus on the success rate for liquefied sites so that the evaluation result tends to be conservative at different seismic intensities. Therefore, a new formula about liquefaction evaluation by introducing logistic regression theory is proposed to solve the deficiencies of the current evaluation method, which is based on 225 sets of shear wave velocity data reported by Andrus. The reliability of the new formula is verified based on 336 sets of Vs data collected from the Kayen database. The performance of the new formula on liquefaction evaluation is compared with existing liquefaction evaluation methods including the Andrus method and the Chinese code method. Compared with the Andrus method and Chinese code method, the success rates of liquefaction evaluation given by the new formula under different seismic intensities are more balanced between liquefied site and nonliquefied site. The new formula at 50% probability of liquefaction is more adaptable for a wide range of seismic intensities, ground water table, and sand buried depth. In addition, the new formula at different probabilistic levels of liquefaction can be adopted based on the importance of the engineering site in risk analysis. |
| format | Article |
| id | doaj-art-f5606277cd4041fb99bec8856110c8bb |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-f5606277cd4041fb99bec8856110c8bb2025-02-03T06:07:44ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/55353875535387A Vs-Based Logistic Regression Method for Liquefaction EvaluationXiaofei Yao0Lu Liu1Zhihua Wang2Zhifu Shen3Hongmei Gao4Urban Underground Space Research Center, Nanjing Tech University, Nanjing 210009, ChinaUrban Underground Space Research Center, Nanjing Tech University, Nanjing 210009, ChinaUrban Underground Space Research Center, Nanjing Tech University, Nanjing 210009, ChinaUrban Underground Space Research Center, Nanjing Tech University, Nanjing 210009, ChinaUrban Underground Space Research Center, Nanjing Tech University, Nanjing 210009, ChinaThe current liquefaction evaluation methods mainly focus on the success rate for liquefied sites so that the evaluation result tends to be conservative at different seismic intensities. Therefore, a new formula about liquefaction evaluation by introducing logistic regression theory is proposed to solve the deficiencies of the current evaluation method, which is based on 225 sets of shear wave velocity data reported by Andrus. The reliability of the new formula is verified based on 336 sets of Vs data collected from the Kayen database. The performance of the new formula on liquefaction evaluation is compared with existing liquefaction evaluation methods including the Andrus method and the Chinese code method. Compared with the Andrus method and Chinese code method, the success rates of liquefaction evaluation given by the new formula under different seismic intensities are more balanced between liquefied site and nonliquefied site. The new formula at 50% probability of liquefaction is more adaptable for a wide range of seismic intensities, ground water table, and sand buried depth. In addition, the new formula at different probabilistic levels of liquefaction can be adopted based on the importance of the engineering site in risk analysis.http://dx.doi.org/10.1155/2021/5535387 |
| spellingShingle | Xiaofei Yao Lu Liu Zhihua Wang Zhifu Shen Hongmei Gao A Vs-Based Logistic Regression Method for Liquefaction Evaluation Advances in Civil Engineering |
| title | A Vs-Based Logistic Regression Method for Liquefaction Evaluation |
| title_full | A Vs-Based Logistic Regression Method for Liquefaction Evaluation |
| title_fullStr | A Vs-Based Logistic Regression Method for Liquefaction Evaluation |
| title_full_unstemmed | A Vs-Based Logistic Regression Method for Liquefaction Evaluation |
| title_short | A Vs-Based Logistic Regression Method for Liquefaction Evaluation |
| title_sort | vs based logistic regression method for liquefaction evaluation |
| url | http://dx.doi.org/10.1155/2021/5535387 |
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