Simulation study on the avalanche process of the mixed brittle–plastic fiber bundle model

2016 ◽  
Vol 441 ◽  
pp. 237-244 ◽  
Author(s):  
Da-Peng Hao ◽  
Gang Tang ◽  
Zhi-Peng Xun ◽  
Hui Xia ◽  
Kui Han
Keyword(s):  
Simulation Study ◽  
Fiber Bundle ◽  
Fiber Bundle Model ◽  
Avalanche Process

Simulation Study on the Avalanche Process of Continuous Damage Fiber Bundle Model with Strong Disorder

2012 ◽  
Vol 146 (6) ◽  
pp. 1203-1212 ◽  
Author(s):  
Da-Peng Hao ◽  
Gang Tang ◽  
Hui Xia ◽  
Kui Han ◽  
Zhi-Peng Xun
Keyword(s):  
Simulation Study ◽  
Fiber Bundle ◽  
Strong Disorder ◽  
Fiber Bundle Model ◽  
Avalanche Process

Avalanche process of the fiber-bundle model with stick-slip dynamics and a variable Young modulus

2013 ◽  
Vol 87 (4) ◽  
Author(s):  
Da-Peng Hao ◽  
Gang Tang ◽  
Hui Xia ◽  
Zhi-Peng Xun ◽  
Kui Han
Keyword(s):  
Fiber Bundle ◽  
Young Modulus ◽  
Stick Slip ◽  
Fiber Bundle Model ◽  
Avalanche Process

The avalanche process of the fiber bundle model with defect in local loading sharing

2018 ◽  
Vol 505 ◽  
pp. 1095-1102 ◽  
Author(s):  
Da-Peng Hao ◽  
Gang Tang ◽  
Zhi-Peng Xun ◽  
Hui Xia ◽  
Kui Han
Keyword(s):  
Fiber Bundle ◽  
Local Loading ◽  
Fiber Bundle Model ◽  
Avalanche Process

The avalanche process of the fiber bundle model with defect

2017 ◽  
Vol 472 ◽  
pp. 77-85 ◽  
Author(s):  
Da-Peng Hao ◽  
Gang Tang ◽  
Hui Xia ◽  
Zhi-Peng Xun ◽  
Kui Han
Keyword(s):  
Fiber Bundle ◽  
Fiber Bundle Model ◽  
Avalanche Process

scholarly journals Modeling active fault systems and seismic events by using a fiber bundle model – example case: the Northridge aftershock sequence

Solid Earth ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 1519-1540
Author(s):  
Marisol Monterrubio-Velasco ◽  
F. Ramón Zúñiga ◽  
José Carlos Carrasco-Jiménez ◽  
Víctor Márquez-Ramírez ◽  
Josep de la Puente
Keyword(s):  
Fiber Bundle ◽  
Active Faults ◽  
Aftershock Sequence ◽  
Statistical Characteristics ◽  
Real Sequence ◽  
Random Load ◽  
Fault Systems ◽  
Aftershock Sequences ◽  
Fiber Bundle Model ◽  
Initial Load

Abstract. Earthquake aftershocks display spatiotemporal correlations arising from their self-organized critical behavior. Dynamic deterministic modeling of aftershock series is challenging to carry out due to both the physical complexity and uncertainties related to the different parameters which govern the system. Nevertheless, numerical simulations with the help of stochastic models such as the fiber bundle model (FBM) allow the use of an analog of the physical model that produces a statistical behavior with many similarities to real series. FBMs are simple discrete element models that can be characterized by using few parameters. In this work, the aim is to present a new model based on FBM that includes geometrical characteristics of fault systems. In our model, the faults are not described with typical geometric measures such as dip, strike, and slip, but they are incorporated as weak regions in the model domain that could increase the likelihood to generate earthquakes. In order to analyze the sensitivity of the model to input parameters, a parametric study is carried out. Our analysis focuses on aftershock statistics in space, time, and magnitude domains. Moreover, we analyzed the synthetic aftershock sequences properties assuming initial load configurations and suitable conditions to propagate the rupture. As an example case, we have modeled a set of real active faults related to the Northridge, California, earthquake sequence. We compare the simulation results to statistical characteristics from the Northridge sequence determining which range of parameters in our FBM version reproduces the main features observed in real aftershock series. From the results obtained, we observe that two parameters related to the initial load configuration are determinant in obtaining realistic seismicity characteristics: (1) parameter P, which represents the initial probability order, and (2) parameter π, which is the percentage of load distributed to the neighboring cells. The results show that in order to reproduce statistical characteristics of the real sequence, larger πfrac values (0.85<πfrac<0.95) and very low values of P (0.0<P≤0.08) are needed. This implies the important corollary that a very small departure from an initial random load configuration (computed by P), and also a large difference between the load transfer from on-fault segments than by off-faults (computed by πfrac), is required to initiate a rupture sequence which conforms to observed statistical properties such as the Gutenberg–Richter law, Omori law, and fractal dimension.

Characterization of the failure process in composite materials by the Fiber Bundle Model

2014 ◽  
Vol 71 ◽  
pp. 30-37 ◽  
Author(s):  
A. Hader ◽  
I. Achik ◽  
A. Lahyani ◽  
K. Sbiaai ◽  
Y. Boughaleb
Keyword(s):  
Composite Materials ◽  
Fiber Bundle ◽  
Failure Process ◽  
Fiber Bundle Model

The Fiber Bundle Model

2014 ◽  
Author(s):  
Alex Hansen ◽  
Per C. Hemmer ◽  
Strutarshi Pradhan
Keyword(s):  
Fiber Bundle ◽  
Fiber Bundle Model
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