Physics-based machine-learned models for multi-scale materials response to shock loads

Nassar, Anas

doi:10.17077/etd.005208

Cited by 1 publication

(2 citation statements)

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“…Governing equations are given in Eqs. ( 1) and (2). Two different grid concentrations near the wall y + 1 and y + 50 were used to study the flow behavior.…”

Section: Figurementioning

confidence: 99%

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Modeling and Simulation of Fluid Flow and Energy Systems

Makahleh,

Nassar

2023

Simulation Modeling - Recent Advances, New Perspectives, and Applications

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Engineering and science-related problems become more complicated as human knowledge evolves. This complication includes apparatus geometry and operational environment such as extreme variations in pressure and temperature. Analytical solution for such problems needs many assumptions that underestimate the problem under study and could lead to unrealistic results. Moreover, an experimental setup for a certain problem is constrained by the prototype size and each experiment is set up for certain operating conditions. This leads to building up many setups to deal with changes in size and operating conditions and, therefore, the prototype validation becomes very expensive and time-consuming. This calls for modeling and simulation approaches to deal with such engineering problems with the powerful computational capabilities available nowadays. Real-world patterns and processes are roughly modeled by scientific models. They may be refuted because they are representations, which are by definition imperfect. Models, however, are quite helpful for a variety of reasons. They first give us a method to comprehend procedures that would otherwise be incomprehensible to us. They also give scientists a base on which to build new research and theories. Finally, modeling and simulation reduce the time and cost of prototyping.

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“…Governing equations are given in Eqs. ( 1) and (2). Two different grid concentrations near the wall y + 1 and y + 50 were used to study the flow behavior.…”

Section: Figurementioning

confidence: 99%

“…Simulation is used to examine the function of a device that is not subjected to experimentation. A good example of this is modeling and simulation of energetic materials (explosives) where experimentation is almost impossible due to its hazardous effects and very expensive cost [1,2].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Fluid Flow and Energy Systems

Makahleh,

Nassar

2023

Simulation Modeling - Recent Advances, New Perspectives, and Applications

View full text Add to dashboard Cite

show abstract

Physics-based machine-learned models for multi-scale materials response to shock loads

Cited by 1 publication

References 0 publications

Modeling and Simulation of Fluid Flow and Energy Systems

Modeling and Simulation of Fluid Flow and Energy Systems

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