Zobrazeno 1 - 10
of 44
pro vyhledávání: '"N, Navaneeth"'
The increasing significance of digital twin technology across engineering and industrial domains, such as aerospace, infrastructure, and automotive, is undeniable. However, the lack of detailed application-specific information poses challenges to its
Externí odkaz:
http://arxiv.org/abs/2306.14430
Deep neural operators are recognized as an effective tool for learning solution operators of complex partial differential equations (PDEs). As compared to laborious analytical and computational tools, a single neural operator can predict solutions of
Externí odkaz:
http://arxiv.org/abs/2302.05925
Autor:
N, Navaneeth, Chakraborty, Souvik
We propose a stochastic projection-based gradient free physics-informed neural network. The proposed approach, referred to as the stochastic projection based physics informed neural network (SP-PINN), blends upscaled stochastic projection theory with
Externí odkaz:
http://arxiv.org/abs/2209.13724
Autor:
N., Navaneeth, Chakraborty, Souvik
Time-dependent structural reliability analysis of nonlinear dynamical systems is non-trivial; subsequently, scope of most of the structural reliability analysis methods is limited to time-independent reliability analysis only. In this work, we propos
Externí odkaz:
http://arxiv.org/abs/2203.02658
Autor:
N., Navaneeth, Chakraborty, Souvik
Performing reliability analysis on complex systems is often computationally expensive. In particular, when dealing with systems having high input dimensionality, reliability estimation becomes a daunting task. A popular approach to overcome the probl
Externí odkaz:
http://arxiv.org/abs/2105.04979
Autor:
N., Navaneeth, Chakraborty, Souvik
Publikováno v:
In Mechanical Systems and Signal Processing 1 April 2024 211
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 5 January 2024 418 Part B
Publikováno v:
In Probabilistic Engineering Mechanics October 2023 74
Autor:
N., Navaneeth, Chakraborty, Souvik
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 March 2023 406
Autor:
N., Navaneeth, Chakraborty, Souvik
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2022 389