Discrete Fault Models

被引:0
|
作者
Michele Dragoni
机构
[1] Alma Mater Studiorum-Università di Bologna,Dipartimento di Fisica e Astronomia “Augusto Righi”
来源
关键词
Fault mechanics; asperity models; viscoelastic relaxation; fault creep; fault interaction;
D O I
暂无
中图分类号
学科分类号
摘要
Fault surfaces are characterized by an inhomogeneous friction distribution, that can be represented with asperity models. Fault mechanics is dominated by asperities, so that a fruitful approach is to use discrete models, where asperities are the basic elements and the state of the fault is described by the average values of stress, friction and slip on each asperity. Under reasonable assumptions, the equations of motion can be solved analytically, with a deeper understanding of the behavior of the system. Fault dynamics has a sticking mode, where asperities are stationary, and a number of slipping modes, corresponding to the separate or simultaneous motion of asperities. Any seismic event is a sequence of slipping modes and a large variety of source functions is possible. Many large earthquakes are observed to be the consequence of the failure of two asperities: a discrete two-asperity model shows a rich dynamics and allows a detailed study of interaction between asperities. In this framework, fault evolution during coseismic and interseismic intervals can be calculated in terms of fault slip, stress state, energy release and seismic spectrum, including viscoelastic relaxation, fault creep and stress perturbations from other faults. Discrete models may include interaction between neighboring faults, allowing to assess conditions for the occurrence of seismic sequences in a fault system. A review of recent work on this subject is presented with applications to real earthquakes.
引用
收藏
页码:3097 / 3120
页数:23
相关论文
共 50 条
  • [21] Fault Accommodation In Discrete - Event Systems
    Shumsky, Alexey E.
    Zhirabok, Alexey N.
    18TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, 2010, : 677 - 682
  • [22] Fault recovery in discrete event systems
    Saboori, Anooshiravan
    Zad, Shahin Hashtrudi
    2005 ICSC CONGRESS ON COMPUTATIONAL INTELLIGENCE METHODS AND APPLICATIONS (CIMA 2005), 2005, : 184 - 189
  • [23] Discrete Lagrangian models
    Suris, YB
    DISCRETE INTEGRABLE SYSTEMS, 2004, 644 : 111 - 184
  • [24] DISCRETE EPIDEMIC MODELS
    Brauer, Fred
    Feng, Zhilan
    Castillo-Chavez, Carlos
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2010, 7 (01) : 1 - 15
  • [25] ON DISCRETE FAILURE MODELS
    PADGETT, WJ
    SPURRIER, JD
    IEEE TRANSACTIONS ON RELIABILITY, 1985, 34 (03) : 253 - 256
  • [26] DISCRETE AND CONTINUOUS MODELS
    BARTO, AG
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1978, 4 (03) : 163 - 177
  • [27] DISCRETE REPLACEMENT MODELS
    NAKAGAWA, T
    LECTURE NOTES IN ECONOMICS AND MATHEMATICAL SYSTEMS, 1984, 235 : 38 - 52
  • [28] NONDEGENERACY AND DISCRETE MODELS
    NAKAMURA, M
    TAKAI, H
    PROCEEDINGS OF THE JAPAN ACADEMY, 1972, 48 (08): : 566 - &
  • [29] Discrete Frailty Models
    Parekh, S. G.
    Patel, S. R.
    Ghosh, D. K.
    Raykundaliya, D. P.
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 140 - 143
  • [30] Discrete models for geomaterials
    D'Addetta, GA
    Ramm, E
    ENGINEERING STRUCTURES UNDER EXTREME CONDITIONS: MULTI-PHYSICS AND MULTI-SCALE COMPUTER MODELS IN NON-LINEAR ANALYSIS AND OPTIMAL DESIGN, 2005, 194 : 290 - 311