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Harikrishnan Sreekumar
Harikrishnan Sreekumar
在 tu-braunschweig.de 的电子邮件经过验证 - 首页
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An adaptive sparse grid rational Arnoldi method for uncertainty quantification of dynamical systems in the frequency domain
U Römer, M Bollhöfer, H Sreekumar, C Blech, S Christine Langer
International Journal for Numerical Methods in Engineering 122 (20), 5487-5511, 2021
192021
Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications
HK Sreekumar, R Ullmann, S Sicklinger, SC Langer
Model Reduction of Complex Dynamical Systems, 259-282, 2021
72021
Large-scale vibroacoustic simulations using parallel direct solvers for high-performance clusters
HK Sreekumar, C Blech, SC Langer
Proceedings of the Annual Conference on Acoustics. DAGA, 864-867, 2021
62021
Efficient solutions of preconditioned large‐scale systems for simulative aircraft cabin noise assessment
Y Hüpel, C Blech, HK Sreekumar, SC Langer
PAMM 23 (2), e202300102, 2023
42023
SURESOFT: Towards Sustainable Research Software
C Blech, N Dreyer, M Friebel, C Jacob, MS Jassim, L Jehl, R Kapitza, ...
Technische Universität, 2022
32022
Active subspace realization for accelerated training of parametric reduced-order models in vibroacoustics
HK Sreekumar, Y Hüpel, SC Langer
Proceedings of the 24th International Congress on Acoustics, Gyeongju, Korea, 2022
32022
Efficient solution strategies for cabin noise assessment of a wave resolving aircraft fuselage model
C Blech, HK Sreekumar, Y Hüpel, SC Langer
arXiv preprint arXiv:2310.04734, 2023
22023
Pole-Matching Technique for Parametric Model Order Reduction of Second Order Vibroacoustic Systems
Y Hüpel, HK Sreekumar, SC Langer
Proceedings of the DAGA Conference, Vienna, Austria, 2021
22021
Sustainable development and deployment of an acoustic FEM research software
HK Sreekumar, C Blech, SC Langer
Proceedings of the DAGA Conference, 2023
12023
Large-scale vibroacoustic simulations using parallel direct solvers for high-performance clusters-Dataset
H Sreekumar, C Blech, S Langer
12021
CLUSTERING-BASED PARAMETRIC SURROGATE MODELING OF VIBROACOUSTIC PROBLEMS ASSISTED BY NEURAL NETWORKS AND ACTIVE SUBSPACE METHOD
HK SREEKUMAR, L OUTZEN, U ROMER, SC LANGER
1
Surrogate modeling of high-dimensional vibroacoustic problems using parametric model order reduction
HK Sreekumar
Dissertation, Braunschweig, Technische Universität Braunschweig, 2024, 0
campus SOURCE Award 2022
C Blech, N Dreyer, B Friebel, CR Jacob, MS Jassim, L Jehl, R Kapitza, ...
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