Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology
The shear strength of granitic gneiss residual soil (GGRS) determines the stability of colluvial landslides in the Huanggang area, China. It depends on several parameters that represent its structure and state as well as their interactions, and therefore requires accurate assessment. For an effectiv...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/9/4308 |
| _version_ | 1797601745865539584 |
|---|---|
| author | Hao Zou Shu Zhang Jinqi Zhao Liuzhi Qin Hao Cheng |
| author_facet | Hao Zou Shu Zhang Jinqi Zhao Liuzhi Qin Hao Cheng |
| author_sort | Hao Zou |
| collection | DOAJ |
| description | The shear strength of granitic gneiss residual soil (GGRS) determines the stability of colluvial landslides in the Huanggang area, China. It depends on several parameters that represent its structure and state as well as their interactions, and therefore requires accurate assessment. For an effective evaluation of shear strength parameters of GGRS based on these factors and their interactions, three parameters, namely, moisture content, bulk density, and fractal dimension of grain size, were selected as influencing factors in this study based on a thorough investigation of the survey data and physical property tests of landslides in the study area. The individual effects and interaction of the factors were then incorporated by implementing a series of direct shear tests employing the response surface methodology (RSM) into the regression model of the shear parameters. The results indicate that the factors affecting shear parameters in the order of greater to lower are bulk density, moisture content, and fractal dimension, and their interactions are insignificant. The proposed model was validated by applying it to soil specimens from other landslide sites with the same parent bedrock, showing the validity of the strength regression model. This study demonstrates that RSM can be applied for parameter estimation of soils and provide reliable performance, and is also significant for conducting landslide investigation, evaluation, and regional risk assessment. |
| first_indexed | 2024-03-11T04:06:55Z |
| format | Article |
| id | doaj.art-7de026b94df4490ca81bae6856e2cad9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:55Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7de026b94df4490ca81bae6856e2cad92023-11-17T23:42:35ZengMDPI AGSensors1424-82202023-04-01239430810.3390/s23094308Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface MethodologyHao Zou0Shu Zhang1Jinqi Zhao2Liuzhi Qin3Hao Cheng4The 3rd Geological Department of Hubei Provincial Geological Bureau, Huanggang 438000, ChinaBadong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, ChinaBadong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, ChinaBadong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, ChinaChina Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, ChinaThe shear strength of granitic gneiss residual soil (GGRS) determines the stability of colluvial landslides in the Huanggang area, China. It depends on several parameters that represent its structure and state as well as their interactions, and therefore requires accurate assessment. For an effective evaluation of shear strength parameters of GGRS based on these factors and their interactions, three parameters, namely, moisture content, bulk density, and fractal dimension of grain size, were selected as influencing factors in this study based on a thorough investigation of the survey data and physical property tests of landslides in the study area. The individual effects and interaction of the factors were then incorporated by implementing a series of direct shear tests employing the response surface methodology (RSM) into the regression model of the shear parameters. The results indicate that the factors affecting shear parameters in the order of greater to lower are bulk density, moisture content, and fractal dimension, and their interactions are insignificant. The proposed model was validated by applying it to soil specimens from other landslide sites with the same parent bedrock, showing the validity of the strength regression model. This study demonstrates that RSM can be applied for parameter estimation of soils and provide reliable performance, and is also significant for conducting landslide investigation, evaluation, and regional risk assessment.https://www.mdpi.com/1424-8220/23/9/4308granitic gneiss residual soilshear strengthresponse surface methodology |
| spellingShingle | Hao Zou Shu Zhang Jinqi Zhao Liuzhi Qin Hao Cheng Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology Sensors granitic gneiss residual soil shear strength response surface methodology |
| title | Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology |
| title_full | Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology |
| title_fullStr | Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology |
| title_full_unstemmed | Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology |
| title_short | Investigating the Shear Strength of Granitic Gneiss Residual Soil Based on Response Surface Methodology |
| title_sort | investigating the shear strength of granitic gneiss residual soil based on response surface methodology |
| topic | granitic gneiss residual soil shear strength response surface methodology |
| url | https://www.mdpi.com/1424-8220/23/9/4308 |
| work_keys_str_mv | AT haozou investigatingtheshearstrengthofgraniticgneissresidualsoilbasedonresponsesurfacemethodology AT shuzhang investigatingtheshearstrengthofgraniticgneissresidualsoilbasedonresponsesurfacemethodology AT jinqizhao investigatingtheshearstrengthofgraniticgneissresidualsoilbasedonresponsesurfacemethodology AT liuzhiqin investigatingtheshearstrengthofgraniticgneissresidualsoilbasedonresponsesurfacemethodology AT haocheng investigatingtheshearstrengthofgraniticgneissresidualsoilbasedonresponsesurfacemethodology |