2018
DOI: 10.1002/nag.2865
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A hybrid finite element‐spectral boundary integral approach: Applications to dynamic rupture modeling in unbounded domains

Abstract: Summary The finite element method (FEM) and the spectral boundary integral method (SBI) have both been widely used in the study of dynamic rupture simulations along a weak interface. In this paper, we present a hybrid method that combines FEM and SBI through the consistent exchange of displacement and traction boundary conditions, thereby benefiting from the flexibility of FEM in handling problems with nonlinearities or small‐scale heterogeneities and from the superior performance and accuracy of SBI. We valid… Show more

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Cited by 25 publications
(43 citation statements)
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“…This account for further computational savings. The truncation of the domain in the hybrid scheme accounts for savings in the overall run time, as well as memory utilization, as demonstrated in earlier studies (Ma et al, 2018). It is noted that the correction steps involved in the proposed algorithm incur additional computation cost; however, the cost is far less than the cost associated with modeling the entire domain.…”
Section: Discussionmentioning
confidence: 75%
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“…This account for further computational savings. The truncation of the domain in the hybrid scheme accounts for savings in the overall run time, as well as memory utilization, as demonstrated in earlier studies (Ma et al, 2018). It is noted that the correction steps involved in the proposed algorithm incur additional computation cost; however, the cost is far less than the cost associated with modeling the entire domain.…”
Section: Discussionmentioning
confidence: 75%
“…The hybrid formulation considered here is a combination of the finite element method (FEM) and the spectral boundary integral (SBI) method previously introduced by (Ma et al, 2018).…”
Section: Hybrid Methods Formulationmentioning
confidence: 99%
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“…This account for further computational savings. The truncation of the domain in the hybrid scheme accounts for savings in the overall run time, as well as memory utilization, as demonstrated in earlier studies (Ma et al, ). It is noted that the correction steps involved in the proposed algorithm incur additional computation cost; however, the cost is far less than the cost associated with modeling the entire domain.…”
Section: Discussionmentioning
confidence: 81%
“…It is this reason that many studies in the literature have focused on advancing computational tools and methods to model various types of materials. [10][11][12][13][14][15][16][17][18] Compared with solely predicting properties of known materials, designing new materials to achieve tunable properties is a more important problem for scientific and engineering purposes. In fact, predicting materials' properties and designing materials are quite different problems, in which the former is often referred to as a forward modeling problem and the latter is an inverse design problem.…”
Section: Introductionmentioning
confidence: 99%