Debraj Ghosh
Indian Institute of Science
42 Papers
182 Citations
Debraj Ghosh is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Polynomial chaos & Eigenvalues and eigenvectors. The author has an hindex of 11, co-authored 42 publications. Previous affiliations of Debraj Ghosh include Indian Statistical Institute & Johns Hopkins University.
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Papers
Efficient characterization of the random eigenvalue problem in a polynomial chaos decomposition
Roger Ghanem,Debraj Ghosh +1 more
TL;DR: The proposed method provides an approximation to the complete probabilistic description of the eigensolution and circumvents the dependence of the statistical solution on the quality of the underlying random number generator.
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Analysis of Eigenvalues and Modal Interaction of Stochastic Systems
TL;DR: In this article, a comparative numerical study between approximations based on Monte Carlo sampling, a Taylor series-based perturbation approach, and the polynomial chaos representation is conducted.
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A FETI‐preconditioned conjugate gradient method for large‐scale stochastic finite element problems
TL;DR: A preconditioned conjugate gradient method based on the dual–primal finite element tearing and interconnecting method equipped with a Krylov subspace reusage technique for accelerating the iterative solution of systems with multiple and repeated right‐hand sides.
Strain and stress computations in stochastic finite element methods
Debraj Ghosh,Charbel Farhat +1 more
TL;DR: In this article, the authors focus on the computation of statistical moments of strains and stresses in a random system model where uncertainty is modeled by a stochastic finite element method based on the polynomial chaos expansion.
Faster computation of the Karhunen-Loeve expansion using its domain independence property
Srikara Pranesh,Debraj Ghosh +1 more
TL;DR: In this article, the authors proposed a numerical integration based method for discretizing second-order stochastic processes with a known covariance function, which is a homogeneous Fredholm equation of second type, and showed that the shape of the physical domain in a random field does not affect the realizations of the field estimated using KL expansion.
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