Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL090255 |
Deformation precursors to catastrophic failure in rocks | |
J. A. McBeck; J. M. Aiken; J. Mathiesen; Y. Ben‐; Zion; F. Renard | |
2020-12-06 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2020 |
英文摘要 | Forecasting the timing of catastrophic failure, such as crustal earthquakes, has been a central concern for centuries. Such forecasting requires identifying signals that evolve or accelerate in the precursory phase leading to failure, and the subset of signals that may be detected in the crust. We develop machine learning models to predict the proximity of catastrophic failure in synchrotron X‐ray tomography triaxial compression experiments on rocks using characteristics of evolving fracture networks. We then examine the characteristics that most strongly influence the model results, and thus may be considered the best predictors of the proximity of macroscopic failure. The resulting suite of predictive parameters underscores the importance of dilation in the precursory phase leading to catastrophic failure. The results indicate that the evolution of the strain energy density field may provide more robust predictions of the proximity of failure than other existing metrics of rock deformation. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/305729 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | J. A. McBeck,J. M. Aiken,J. Mathiesen,et al. Deformation precursors to catastrophic failure in rocks[J]. Geophysical Research Letters,2020. |
APA | J. A. McBeck,J. M. Aiken,J. Mathiesen,Y. Ben‐,Zion,&F. Renard.(2020).Deformation precursors to catastrophic failure in rocks.Geophysical Research Letters. |
MLA | J. A. McBeck,et al."Deformation precursors to catastrophic failure in rocks".Geophysical Research Letters (2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论