Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics
In rock engineering, it is crucial to collect and analyze precursor information of rock failure. This paper has attempted to study the strain rate field of rock-like material to obtain the precursor information of its failure. Based on the available laboratory experiments, the intact BPM (bonded-par...
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2025-01-01
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| author | Jin Jin Ping Cao Jun Zhang Yanchao Wang Chenxi Miao Jie Li Xiaohong Bai |
| author_facet | Jin Jin Ping Cao Jun Zhang Yanchao Wang Chenxi Miao Jie Li Xiaohong Bai |
| author_sort | Jin Jin |
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| description | In rock engineering, it is crucial to collect and analyze precursor information of rock failure. This paper has attempted to study the strain rate field of rock-like material to obtain the precursor information of its failure. Based on the available laboratory experiments, the intact BPM (bonded-particle model) and other BPMs with a single open prefabricated flaw were simulated by PFC (Particle Flow Code). The volume strain rate field data before the peak stress have been obtained from two hundred measurement circles across each model. The strain rate field data have been firstly statistically analyzed to explore the failure precursor based on the intact model and 45° flaw model and then compared to find the influence of the pre-existing flaw on the damage evolution and precursor signal. The results indicate that (1) all types of statistical data are positively correlated with the increment of microcracks; (2) corresponding to the fluctuation patterns of statistical data, the damage evolution of BPMs in the pre-peak stage can be divided into three parts; (3) the pre-existing flaw would accelerate the damage evolution; (4) the location and evolution rate of damage could be determined by comprehensively analyzing the average deviation curve, the coefficient of variation, and the contour maps of the strain rate field. These analyses of the particle displacement field can be used to distinguish the impacts of the flaw angle and provide some assistance for the failure forecast. |
| format | Article |
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| institution | Kabale University |
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| spelling | doaj-art-cd35c5dae2c8432aa1617174a5e6adee2025-01-24T13:20:28ZengMDPI AGApplied Sciences2076-34172025-01-0115268610.3390/app15020686Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field StatisticsJin Jin0Ping Cao1Jun Zhang2Yanchao Wang3Chenxi Miao4Jie Li5Xiaohong Bai6College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Resources and Safety Engineering, Central South University, Changsha 410083, ChinaTransportation Industry Key Laboratory of Highway Construction and Maintenance Technology in Loess Area, Shanxi Province Transportation Technology Research and Development Co., Ltd., Taiyuan 030032, ChinaTransportation Industry Key Laboratory of Highway Construction and Maintenance Technology in Loess Area, Shanxi Province Transportation Technology Research and Development Co., Ltd., Taiyuan 030032, ChinaCollege of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaCollege of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaIn rock engineering, it is crucial to collect and analyze precursor information of rock failure. This paper has attempted to study the strain rate field of rock-like material to obtain the precursor information of its failure. Based on the available laboratory experiments, the intact BPM (bonded-particle model) and other BPMs with a single open prefabricated flaw were simulated by PFC (Particle Flow Code). The volume strain rate field data before the peak stress have been obtained from two hundred measurement circles across each model. The strain rate field data have been firstly statistically analyzed to explore the failure precursor based on the intact model and 45° flaw model and then compared to find the influence of the pre-existing flaw on the damage evolution and precursor signal. The results indicate that (1) all types of statistical data are positively correlated with the increment of microcracks; (2) corresponding to the fluctuation patterns of statistical data, the damage evolution of BPMs in the pre-peak stage can be divided into three parts; (3) the pre-existing flaw would accelerate the damage evolution; (4) the location and evolution rate of damage could be determined by comprehensively analyzing the average deviation curve, the coefficient of variation, and the contour maps of the strain rate field. These analyses of the particle displacement field can be used to distinguish the impacts of the flaw angle and provide some assistance for the failure forecast.https://www.mdpi.com/2076-3417/15/2/686rock-like materialstrain rate fielddamage evolutionfailure precursorparticle flow code |
| spellingShingle | Jin Jin Ping Cao Jun Zhang Yanchao Wang Chenxi Miao Jie Li Xiaohong Bai Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics Applied Sciences rock-like material strain rate field damage evolution failure precursor particle flow code |
| title | Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics |
| title_full | Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics |
| title_fullStr | Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics |
| title_full_unstemmed | Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics |
| title_short | Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics |
| title_sort | damage evolution and failure precursor of rock like material under uniaxial compression based on strain rate field statistics |
| topic | rock-like material strain rate field damage evolution failure precursor particle flow code |
| url | https://www.mdpi.com/2076-3417/15/2/686 |
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