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通过实验室尺度地震的数值模拟和无监督机器学习揭示的地震成核见解。

Insights on earthquake nucleation revealed by numerical simulation and unsupervised machine learning of laboratory-scale earthquake.

作者信息

Ye Sheng Hua, Lui Semechah K Y, Young R Paul

机构信息

Civil and Mineral Engineering, University of Toronto, 35 St. George St, Toronto, ON, M5S 1A4, Canada.

Chemical and Physical Sciences, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, ON, L5L 1C6, Canada.

出版信息

Sci Rep. 2024 Nov 21;14(1):28812. doi: 10.1038/s41598-024-80136-4.

DOI:10.1038/s41598-024-80136-4
PMID:39567590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11579008/
Abstract

Understanding earthquake nucleation is vital for predicting and mitigating seismic events, saving lives, and enhancing construction practices in earthquake-prone areas. Cascade triggering and preslip triggering are prevalent theories, posing challenges in differentiation based on field observations. Our study employs a novel unsupervised machine learning pipeline, integrating macroscopic- and grain-scale data from stick-slip experiments in a discrete element method (DEM) framework. Running 27 simulations, we cluster foreshocks and mainshocks separately and assess their correlation. The study supports the cascade triggering model on the macro-scale, as we did not observe any scaling between nucleation parameters and the mainshock size. On the other hand, further grain-scale analysis identifies that, separate from Coulomb stress transfer, there is an additional mechanism related to shear stress accumulation on the fault, which is likely the preslip triggering. Overall, while foreshocks may not directly influence the trend at which contact force evolves, they could prime the fault for dynamic rupture by increasing the proportion of contacts accumulating shear stresses. Our findings infer the possible coexistence of the two theorized mechanisms.

摘要

了解地震成核对于预测和减轻地震事件、拯救生命以及改进地震多发地区的建筑实践至关重要。级联触发和预滑动触发是普遍存在的理论,基于现场观测进行区分具有挑战性。我们的研究采用了一种新颖的无监督机器学习流程,在离散元方法(DEM)框架中整合了来自粘滑实验的宏观和颗粒尺度数据。运行27次模拟后,我们分别对前震和主震进行聚类并评估它们的相关性。该研究在宏观尺度上支持级联触发模型,因为我们没有观察到成核参数与主震规模之间存在任何标度关系。另一方面,进一步的颗粒尺度分析表明,除了库仑应力传递之外,在断层上还存在一种与剪应力积累相关的额外机制,这可能就是预滑动触发。总体而言,虽然前震可能不会直接影响接触力演变的趋势,但它们可能通过增加积累剪应力的接触比例使断层为动态破裂做好准备。我们的研究结果推断这两种理论机制可能共存。

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Insights on earthquake nucleation revealed by numerical simulation and unsupervised machine learning of laboratory-scale earthquake.通过实验室尺度地震的数值模拟和无监督机器学习揭示的地震成核见解。
Sci Rep. 2024 Nov 21;14(1):28812. doi: 10.1038/s41598-024-80136-4.
2
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本文引用的文献

1
Deep learning forecasting of large induced earthquakes via precursory signals.通过前兆信号对大型诱发地震进行深度学习预测。
Sci Rep. 2024 Feb 5;14(1):2964. doi: 10.1038/s41598-024-52935-2.
2
Machine Learning Predicts the Timing and Shear Stress Evolution of Lab Earthquakes Using Active Seismic Monitoring of Fault Zone Processes.机器学习利用断层带过程的主动地震监测预测实验室地震的时间和剪应力演化。
J Geophys Res Solid Earth. 2021 Jul;126(7):e2020JB021588. doi: 10.1029/2020JB021588. Epub 2021 Jul 19.
3
Real-time determination of earthquake focal mechanism via deep learning.
基于深度学习的实时地震震源机制测定。
Nat Commun. 2021 Mar 4;12(1):1432. doi: 10.1038/s41467-021-21670-x.
4
Laboratory earthquake forecasting: A machine learning competition.实验室地震预测:机器学习竞赛。
Proc Natl Acad Sci U S A. 2021 Feb 2;118(5). doi: 10.1073/pnas.2011362118.
5
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking.平均 Hausdorff 距离在分割性能评估中的应用:用于排序时的隐藏错误。
Eur Radiol Exp. 2021 Jan 21;5(1):4. doi: 10.1186/s41747-020-00200-2.
6
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection.CRED:一种用于地震信号检测的卷积和循环单元的深度残差网络。
Sci Rep. 2019 Jul 16;9(1):10267. doi: 10.1038/s41598-019-45748-1.
7
Big data: the elements of good questions, open data, and powerful software.大数据:好问题、开放数据和强大软件的要素。
Biophys Rev. 2019 Feb;11(1):1-3. doi: 10.1007/s12551-019-00500-x. Epub 2019 Jan 25.
8
The debate on the prognostic value of earthquake foreshocks: a meta-analysis.关于地震前震预测价值的辩论:一项荟萃分析。
Sci Rep. 2014 Feb 14;4:4099. doi: 10.1038/srep04099.
9
Seismic evidence for an earthquake nucleation phase.地震成核阶段的地震学证据。
Science. 1995 May 12;268(5212):851-5. doi: 10.1126/science.268.5212.851.
10
MAGNITUDE AND ENERGY OF EARTHQUAKES.地震的震级与能量
Science. 1936 Feb 21;83(2147):183-5. doi: 10.1126/science.83.2147.183.