A state-dependent soil model and its application to principal stress rotation simulations
The plastic strain caused by principal stress rotation is one of the most important factors contributing to substantial deformation under earthquake, wave or traffic loading. The original Pastor–Zienkiewicz Mark III model, a well-known model for the analysis of the dynamic response under cyclic load...
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| Format: | Article |
| Language: | English |
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Wiley
2018-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718808751 |
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| _version_ | 1832547768754765824 |
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| author | Zhongtao Wang Peng Liu Andrew Hin Cheong Chan |
| author_facet | Zhongtao Wang Peng Liu Andrew Hin Cheong Chan |
| author_sort | Zhongtao Wang |
| collection | DOAJ |
| description | The plastic strain caused by principal stress rotation is one of the most important factors contributing to substantial deformation under earthquake, wave or traffic loading. The original Pastor–Zienkiewicz Mark III model, a well-known model for the analysis of the dynamic response under cyclic loading, is unable to consider the effects of principal stress orientation as well as state-dependent dilatancy. In this article, a new constitutive model for sand is developed to consider both aforementioned effects based on the original Pastor–Zienkiewicz Mark III model. There are 14 model parameters in total for the static condition and three extra parameters for cyclic loading, and a corresponding calibration method of model parameters is proposed. The predictive capability of the proposed model is verified with the results of a series of experiments on sand, including undrained monotonic tests in different fixed principal stress orientations and undrained cyclic rotational shear tests. The comparisons indicate that the proposed model can effectively incorporate the effects of principal stress orientation and state-dependent dilatancy. |
| format | Article |
| id | doaj-art-39601f0d0f9c4ced85a4b298969faa0f |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-39601f0d0f9c4ced85a4b298969faa0f2025-02-03T06:43:16ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-11-011410.1177/1550147718808751A state-dependent soil model and its application to principal stress rotation simulationsZhongtao Wang0Peng Liu1Andrew Hin Cheong Chan2Institute of Geotechnical Engineering, School of Civil Engineering, Dalian University of Technology, Dalian, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, ChinaSchool of Engineering and ICT, University of Tasmania, Hobart, TAS, AustraliaThe plastic strain caused by principal stress rotation is one of the most important factors contributing to substantial deformation under earthquake, wave or traffic loading. The original Pastor–Zienkiewicz Mark III model, a well-known model for the analysis of the dynamic response under cyclic loading, is unable to consider the effects of principal stress orientation as well as state-dependent dilatancy. In this article, a new constitutive model for sand is developed to consider both aforementioned effects based on the original Pastor–Zienkiewicz Mark III model. There are 14 model parameters in total for the static condition and three extra parameters for cyclic loading, and a corresponding calibration method of model parameters is proposed. The predictive capability of the proposed model is verified with the results of a series of experiments on sand, including undrained monotonic tests in different fixed principal stress orientations and undrained cyclic rotational shear tests. The comparisons indicate that the proposed model can effectively incorporate the effects of principal stress orientation and state-dependent dilatancy.https://doi.org/10.1177/1550147718808751 |
| spellingShingle | Zhongtao Wang Peng Liu Andrew Hin Cheong Chan A state-dependent soil model and its application to principal stress rotation simulations International Journal of Distributed Sensor Networks |
| title | A state-dependent soil model and its application to principal stress rotation simulations |
| title_full | A state-dependent soil model and its application to principal stress rotation simulations |
| title_fullStr | A state-dependent soil model and its application to principal stress rotation simulations |
| title_full_unstemmed | A state-dependent soil model and its application to principal stress rotation simulations |
| title_short | A state-dependent soil model and its application to principal stress rotation simulations |
| title_sort | state dependent soil model and its application to principal stress rotation simulations |
| url | https://doi.org/10.1177/1550147718808751 |
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