Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Huang, Daniel Z."'
Autor:
Huang, Daniel Z., Huang, Jiaoyang
The unscented Kalman inversion (UKI) method presented in [1] is a general derivative-free approach for the inverse problem. UKI is particularly suitable for inverse problems where the forward model is given as a black box and may not be differentiabl
Externí odkaz:
http://arxiv.org/abs/2103.00277
Autor:
Huang, Daniel Z., Huang, Jiaoyang
The unscented Kalman inversion (UKI) presented in [1] is a general derivative-free approach to solving the inverse problem. UKI is particularly suitable for inverse problems where the forward model is given as a black box and may not be differentiabl
Externí odkaz:
http://arxiv.org/abs/2102.10677
In this paper, we study the power iteration algorithm for the spiked tensor model, as introduced in [44]. We give necessary and sufficient conditions for the convergence of the power iteration algorithm. When the power iteration algorithm converges,
Externí odkaz:
http://arxiv.org/abs/2012.13669
Autor:
Avery, Philip, Huang, Daniel Z., He, Wanli, Ehlers, Johanna, Derkevorkian, Armen, Farhat, Charbel
Publikováno v:
International Journal for Numerical Methods in Engineering, 2021
A general-purpose computational homogenization framework is proposed for the nonlinear dynamic analysis of membranes exhibiting complex microscale and/or mesoscale heterogeneity characterized by in-plane periodicity that cannot be effectively treated
Externí odkaz:
http://arxiv.org/abs/2007.05877
We present the Cholesky-factored symmetric positive definite neural network (SPD-NN) for modeling constitutive relations in dynamical equations. Instead of directly predicting the stress, the SPD-NN trains a neural network to predict the Cholesky fac
Externí odkaz:
http://arxiv.org/abs/2004.00265
Autor:
Huang, Daniel Z., Avery, Philip, Farhat, Charbel, Rabinovitch, Jason, Derkevorkian, Armen, Peterson, Lee D
A high fidelity multi-physics Eulerian computational framework is presented for the simulation of supersonic parachute inflation during Mars landing. Unlike previous investigations in this area, the framework takes into account an initial folding pat
Externí odkaz:
http://arxiv.org/abs/1912.01658
Publikováno v:
Journal of Computational Physics 412 (2020): 109441
We present an arbitrarily high-order, conditionally stable, partitioned spectral deferred correction (SDC) method for solving multiphysics problems using a sequence of pre-existing single-physics solvers. This method extends the work in [1, 2], which
Externí odkaz:
http://arxiv.org/abs/1909.01977
Cable subsystems characterized by long, slender, and flexible structural elements are featured in numerous engineering systems. In each of them, interaction between an individual cable and the surrounding fluid is inevitable. Such a Fluid-Structure I
Externí odkaz:
http://arxiv.org/abs/1908.08382
A homogenization approach is proposed for the treatment of porous wall boundary conditions in the computation of compressible viscous flows. Like any other homogenization approach, it eliminates the need for pore-resolved fluid meshes and therefore e
Externí odkaz:
http://arxiv.org/abs/1907.09632
We present a new approach for predictive modeling and its uncertainty quantification for mechanical systems, where coarse-grained models such as constitutive relations are derived directly from observation data. We explore the use of a neural network
Externí odkaz:
http://arxiv.org/abs/1905.12530