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pro vyhledávání: '"Viswanathan H"'
Autor:
Viswanathan, H., Chode, K. K.
This study numerically investigates the aerodynamic forces and flow-induced noise generated by SAE-T4, Ahmed, and Hybrid forebody shapes with a squareback vehicle configuration using SBES-FW-H. The results show significant differences in lift coeffic
Externí odkaz:
http://arxiv.org/abs/2306.13466
Autor:
Viswanathan, H.
The influence of drop formation due to micro rib-like structures, viz., the Junction Gutters (JGs) within a standard microfluidic T-junction, is numerically investigated. Hydrodynamic conditions that lead to various flow regimes are identified charac
Externí odkaz:
http://arxiv.org/abs/2205.02008
Machine learning-based data-driven modeling can allow computationally efficient time-dependent solutions of PDEs, such as those that describe subsurface multiphysical problems. In this work, our previous approach of conditional generative adversarial
Externí odkaz:
http://arxiv.org/abs/2111.14984
This paper presents a numerical investigation of aerodynamic noise generated by a generic side-view mirror mounted on a flat plate using the Stress Blended Eddy Simulation (SBES) coupled with the Ffowcs Williams and Hawkings (FW-H) equation. A grid e
Externí odkaz:
http://arxiv.org/abs/2007.12783
Akademický článek
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Spectral induced polarization (SIP) is a non-intrusive geophysical method that is widely used to detect sulfide minerals, clay minerals, metallic objects, municipal wastes, hydrocarbons, and salinity intrusion. However, SIP is a static method that ca
Externí odkaz:
http://arxiv.org/abs/1909.02125
Autor:
Mudunuru, M. K., Panda, N., Karra, S., Srinivasan, G., Chau, V. T., Rougier, E., Hunter, A., Viswanathan, H. S.
In brittle fracture applications, failure paths, regions where the failure occurs and damage statistics, are some of the key quantities of interest (QoI). High-fidelity models for brittle failure that accurately predict these QoI exist but are highly
Externí odkaz:
http://arxiv.org/abs/1807.11537
Autor:
Hunter, A., Moore, B. A., Mudunuru, M. K., Chau, V. T., Miller, R. L., Tchoua, R. B., Nyshadham, C., Karra, S., Malley, D. O., Rougier, E., Viswanathan, H. S., Srinivasan, G.
In this paper, five different approaches for reduced-order modeling of brittle fracture in geomaterials, specifically concrete, are presented and compared. Four of the five methods rely on machine learning (ML) algorithms to approximate important asp
Externí odkaz:
http://arxiv.org/abs/1806.01949
Publikováno v:
Phys. Rev. E 97, 033304 (2018)
Fractures form the main pathways for flow in the subsurface within low-permeability rock. For this reason, accurately predicting flow and transport in fractured systems is vital for improving the performance of subsurface applications. Fracture sizes
Externí odkaz:
http://arxiv.org/abs/1708.08556
Publikováno v:
M.K. Mudunuru, S. Karra, D.R. Harp, G.D. Guthrie, H.S. Viswanathan, Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems, Geothermics, Volume 70, 2017, Pages 192-205
The goal of this paper is to assess the utility of Reduced-Order Models (ROMs) developed from 3D physics-based models for predicting transient thermal power output for an enhanced geothermal reservoir while explicitly accounting for uncertainties in
Externí odkaz:
http://arxiv.org/abs/1606.04567