A Scalable Framework for Numerical Simulation of Combustion in Internal Combustion Engines

Bale, Rahul; Wang, Wei Hsiang; Li, Chung-Gang; Onishi, K.; Uchida, Kenji; Fujimoto, Hidefumi; Kurose, Ryoichi; Tsubokura, Makoto

doi:10.1145/3394277.3401859

Cited by 15 publications

(10 citation statements)

References 10 publications

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“…This simple improvement yields critical benefits that will not cause errors in any types of geometry data, and is applicable to Cartesian grids. We have applied the variations of these methods to various industrial problems [8,13,9,3,4,11]. For COVID-19 digital twins of societal situations, the optimal method was selected for one making it possible to automatically and robustly simulate complex dirty geometry, reducing the time required for preprocessing to about 10 minutes or less.…”

Section: Rapid Mesh Generation Based On the Immersed Boundary Methodsmentioning

confidence: 99%

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19

Ando¹,

Bale²,

Li³

et al. 2021

Preprint

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The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmissions for the first time, but also transformed the behavior of the entire Japanese public through its detailed analysis of transmission risks in multitudes of societal situations entailing heavy risks. A novel aerosol simulation methodology was synthesized out of a combination of a new CFD methods meeting industrial demands, CUBE [8], which not only allowed the simulations to scale massively with high resolution required for micrometer virus-containing aerosol particles, but also extremely rapid time-to-solution due to its ability to generate the digital twins representing multitudes of societal situations in minutes not week, attaining true overall application high performance; such simulations have been running for the past 1.5 years on Fugaku, cumulatively consuming top supercomputer-class resources and the result communicated by the media as well as becoming official public policies. Keywords COVID-19 • Computational fluid dynamics • Building cube method • Immersed boundary method • Dirty CAD • Droplet/Aerosol transmission • societal behavioral change * All authors are listed in alphabetical order by surnames.

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Section: Rapid Mesh Generation Based On the Immersed Boundary Methodsmentioning

confidence: 99%

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19

Ando¹,

Bale²,

Li³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…This simple improvement yields critical benefits that will not cause errors in any types of geometry data, and is applicable to Cartesian grids. We have applied the variations of these methods to various industrial problems ( Bale et al, 2020 ; Cao et al, 2019 ; Jansson et al, 2019 ; Li et al, 2016 ; Lu et al, 2021 ; Onishi et al, 2018 ). For COVID-19 digital twins of societal situations, the optimal method was selected for one making it possible to automatically and robustly simulate complex dirty geometry, reducing the time required for preprocessing to about 10 min or less.…”

Section: Innovations Realizedmentioning

confidence: 99%

Digital transformation of droplet/aerosol infection risk assessment realized on “Fugaku” for the fight against COVID-19

Ando

Bale

et al. 2022

The International Journal of High Performance Computing Applica

Self Cite

View full text Add to dashboard Cite

The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmissions for the first time but also transformed the behavior of the entire Japanese public through its detailed analysis of transmission risks in multitudes of societal situations entailing heavy risks. A novel aerosol simulation methodology was synthesized out of a combination of a new CFD methods meeting industrial demands in the solver, CUBE (Jansson et al., 2019), which not only allowed the simulations to scale massively with high resolution required for micrometer virus-containing aerosol particles but also enabled extremely rapid time-to-solution due to its ability to generate the digital twins representing multitudes of societal situations in a matter of minutes, attaining true overall application high performance; such simulations have been running for the past 1.5°years on Fugaku, cumulatively consuming top supercomputer-class resources and the communicated by the media as well as becoming the basis for official public policies.

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“…We adopted an algorithm, validated by Bale et al (2020), as the original algorithm, and it has two subsolvers: one Eulerian and one Lagrangian. The two are temporally explicit and have the same time step, ∆ unified , which must be chosen based on the minimum timescale, including the computational stability.…”

Section: Main Concept Of the Proposed Algorithmmentioning

confidence: 99%

A study on efficiency of semi-implicit, density-based solver for simulation of evaporating particle-laden flow

Cho

Bale

Tsubokura

et al. 2021

Mechanical Engineering Letters

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A study on efficiency of semi-implicit, density-based solver for simulation of evaporating particle-laden flow AbstractIn this work, we propose a semi-implicit, density-based solver for compressible, evaporating particle-laden flow, and investigate its efficiency. It is established on a Cartesian-grid-based, scalable, numerical framework named CUBE. In this solver, the governing equation system is divided into three subsystems (compressible Navier-Stokes, species transport, and Lagrangian), and these subsystems are weakly coupled in two ways. In the Lagrangian domain, the fuel spray is treated as a set of discrete particles, and the particle-source-in-cell (PSI-Cell) method is employed for the coupling between the Eulerian and Lagrangian domains. Furthermore, the species transport and Lagrangian subsystems are subcycled with smaller time step, and the Navier-Stokes equation is temporally integrated with a larger step size. The proposed solver's verification and evaluation is conducted on the supercomputer Fugaku by comparing the results with those of the original, fully explicit solver where all equations have the same time step. The results show that this solver reduces the computational cost while ensuring similar accuracy. The solution of the proposed solver is consistent with that of the original solver. Finally, we brief our perspective on the future application of the proposed solver to our target problem: the largescale simulation of evaporating particle-laden flow in a combustor of an aviation engine.

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A Scalable Framework for Numerical Simulation of Combustion in Internal Combustion Engines

Cited by 15 publications

References 10 publications

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19

Digital transformation of droplet/aerosol infection risk assessment realized on “Fugaku” for the fight against COVID-19

A study on efficiency of semi-implicit, density-based solver for simulation of evaporating particle-laden flow

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