Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Agrawal, Atul"'
Designing civil structures such as bridges, dams or buildings is a complex task requiring many synergies from several experts. Each is responsible for different parts of the process. This is often done in a sequential manner, e.g. the structural engi
Externí odkaz:
http://arxiv.org/abs/2312.03607
Despite the increasing availability of high-performance computational resources, Reynolds-Averaged Navier-Stokes (RANS) simulations remain the workhorse for the analysis of turbulent flows in real-world applications. Linear eddy viscosity models (LEV
Externí odkaz:
http://arxiv.org/abs/2311.14576
We propose a data-driven, closure model for Reynolds-averaged Navier-Stokes (RANS) simulations that incorporates aleatoric, model uncertainty. The proposed closure consists of two parts. A parametric one, which utilizes previously proposed, neural-ne
Externí odkaz:
http://arxiv.org/abs/2307.02432
Autor:
Agrawal, Atul Kumar, Kumari, Anshu, Kumar, Brajesh, Kumar, Parvendra, Jena, Lalit Kumar, Asthana, Saket, Singh, Rakesh Kumar, Jaiswal, Shivendra Kumar
Publikováno v:
In Physica B: Condensed Matter 1 January 2025 696
Publikováno v:
In Journal of Alloys and Compounds 25 August 2024 996
Publikováno v:
In Journal of Cleaner Production 1 August 2024 465
Publikováno v:
In Journal of Computational Physics 1 July 2024 508
This paper reports a reduced-order modeling framework of bladed disks on a rotating shaft to simulate the vibration signature of faults like cracks in different components aiming towards simulated data-driven machine learning. We have employed lumped
Externí odkaz:
http://arxiv.org/abs/2108.06265
Recent works have explored the potential of machine learning as data-driven turbulence closures for RANS and LES techniques. Beyond these advances, the high expressivity and agility of physics-informed neural networks (PINNs) make them promising cand
Externí odkaz:
http://arxiv.org/abs/2103.03565
Autor:
Vir, Pooja, Gunasekera, Devi, Dorjbal, Batsukh, McDaniel, Dennis, Agrawal, Atul, Merricks, Elizabeth P., Ragni, Margaret V., Leissinger, Cindy A., Stering, Allen I., Lieuw, Kenneth, Nichols, Timothy C., Pratt, Kathleen P.
Publikováno v:
In Journal of Thrombosis and Haemostasis August 2024