走滑断层中粘弹性层厚度和摩擦强度对岩石圈变形影响的模拟——对大苏门答腊断层地震活动模式的认识

IF 6.5 3区 工程技术 Q1 ENGINEERING, GEOLOGICAL
M. A. Bening, D. Sahara, Wahyu Triyoso, D. Kusumawati
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引用次数: 1

摘要

由于地震能够造成重大损失,因此地震后应变积累和释放模型对于缓解目的非常重要。在这项研究中,我们的目标是用有限元模型来模拟由弹性脆(上地壳)和弹性粘(下地壳和上地幔)层组成的走滑断层的应变积累和释放。应变积累过程中的断层强度除受粘弹性参数控制外,还受摩擦系数和黏聚力的影响,如采用Maxwell材料的变形模型所示。在应变累积模型中,我们发现弹性层上的差应力大于粘弹性层上的差应力,并且差应力随弹性层厚度的增加而增大。粘弹性层越薄,表面观察到的变形越大。而应变释放模型中弹性层的应力差小于粘弹性层,说明应力从下地壳和上地幔向上地壳传递。利用通过改变岩石圈的厚度和摩擦强度所获得的知识,我们讨论了沿大苏门答腊断层观测到的地震活动模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Impact of the Viscoelastic Layer Thickness and the Frictional Strength to the Lithosphere Deformation in a Strike-Slip Fault: Insight to the Seismicity Pattern along the Great Sumatran Fault
As an earthquake is capable of causing significant losses, a strain buildup and release model following an earthquake is of importance for mitigation purposes. In this study, we aim to model strain buildup and release on a strike-slip fault which consists of elastic–brittle (upper crust) and elastic–viscous (lower crust and upper mantle) layers using a finite element model. The fault strength during strain buildup is controlled by the friction coefficient and cohesion, in addition to the viscoelastic parameter, as shown in the deformation model using Maxwell’s material. In the strain buildup model, we found that the differential stress on the elastic layer is larger than that on the viscoelastic layer and that the differential stress increases with the thickness of the elastic layer. When the viscoelastic layer is thinner, the deformation observed on the surface is larger. However, the differential of stress in the strain release model on the elastic layer is smaller than that on the viscoelastic layer, which shows the transfer stress from the lower crust and upper mantle to the upper crust. Using the knowledge gained by varying the thickness and frictional strength of the lithosphere, we discuss the seismicity pattern observed along the Great Sumatran Fault.
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来源期刊
CiteScore
8.70
自引率
10.40%
发文量
31
期刊介绍: Georisk covers many diversified but interlinked areas of active research and practice, such as geohazards (earthquakes, landslides, avalanches, rockfalls, tsunamis, etc.), safety of engineered systems (dams, buildings, offshore structures, lifelines, etc.), environmental risk, seismic risk, reliability-based design and code calibration, geostatistics, decision analyses, structural reliability, maintenance and life cycle performance, risk and vulnerability, hazard mapping, loss assessment (economic, social, environmental, etc.), GIS databases, remote sensing, and many other related disciplines. The underlying theme is that uncertainties associated with geomaterials (soils, rocks), geologic processes, and possible subsequent treatments, are usually large and complex and these uncertainties play an indispensable role in the risk assessment and management of engineered and natural systems. Significant theoretical and practical challenges remain on quantifying these uncertainties and developing defensible risk management methodologies that are acceptable to decision makers and stakeholders. Many opportunities to leverage on the rapid advancement in Bayesian analysis, machine learning, artificial intelligence, and other data-driven methods also exist, which can greatly enhance our decision-making abilities. The basic goal of this international peer-reviewed journal is to provide a multi-disciplinary scientific forum for cross fertilization of ideas between interested parties working on various aspects of georisk to advance the state-of-the-art and the state-of-the-practice.
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