EQSIM—A multidisciplinary framework for fault-to-structure earthquake simulations on exascale computers part I: Computational models and workflow. Issue 2 (May 2021)

• Record Type: Journal Article
• Authors: McCallen, David; Petersson, Anders; Rodgers, Arthur; Pitarka, Arben; Miah, Mamun; Petrone, Floriana; Sjogreen, Bjorn; Abrahamson, Norman; Tang, Houjun
• Is Part Of: Earthquake spectra. Volume 37:Issue 2(2021)
• Page Start: 707
• Page End: 735
• Publication Date: 2021-05
• Subjects: Regional earthquake simulations -- high-performance computing -- coupled geophysics—engineering simulations -- fault-to-structure simulations -- infrastructure risk; Earthquake engineering -- Periodicals; Earthquake engineering; Periodicals; 624.1762
• DOI: 10.1177/8755293020970982
• Languages: English
• ISSNs: 8755-2930

Abstract

Computational simulations have become central to the seismic analysis and design of major infrastructure over the past several decades. Most major structures are now "proof tested" virtually through representative simulations of earthquake-induced response. More recently, with the advancement of high-performance computing (HPC) platforms and the associated massively parallel computational ecosystems, simulation is beginning to play a role in increased understanding and prediction of ground motions for earthquake hazard assessments. However, the computational requirements for regional-scale geophysics-based ground motion simulations are extreme, which has restricted the frequency resolution of direct simulations and limited the ability to perform the large number of simulations required to numerically explore the problem parametric space. In this article, recent developments toward an integrated, multidisciplinary earth science-engineering computational framework for the regional-scale simulation of both ground motions and resulting structural response are described with a particular emphasis on advancing simulations to frequencies relevant to engineered systems. This multidisciplinary computational development is being carried out as part of the US Department of Energy (DOE) Exascale Computing Project with the goal of achieving a computational framework poised to exploit emerging DOE exaflop computer platforms scheduled for the 2022–2023 timeframe.