activity
20192023
most citedMulti-Output Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Uncertainties

51 citations · 199 across the 12 of their papers we have counts for

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9 papers · 1 filter

math.NA2022★ 2 cited

Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves

Xiao Xu, Marta D'Elia, Christian Glusa +1

Anomalous behavior is ubiquitous in subsurface solute transport due to the presence of high degrees of heterogeneity at different scales in the media. Although fractional models ha…

math.NA2021★ 2 cited

Coupling of IGA and Peridynamics for Air-Blast Fluid-Structure Interaction Using an Immersed Approach

Masoud Behzadinasab, Georgios Moutsanidis, Nathaniel Trask +2

We present a novel formulation based on an immersed coupling of Isogeometric Analysis (IGA) and Peridynamics (PD) for the simulation of fluid-structure interaction (FSI) phenomena…

math.NA2021★ 10 cited

A Petrov-Galerkin method for nonlocal convection-dominated diffusion problems

Yu Leng, Xiaochuan Tian, Leszek Demkowicz +2

We present a Petrov-Gelerkin (PG) method for a class of nonlocal convection-dominated diffusion problems. There are two main ingredients in our approach. First, we define the norm…

math.NA2021★ 15 cited

A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems

Xiao Xu, Christian Glusa, Marta D'Elia +1

We propose a domain decomposition method for the efficient simulation of nonlocal problems. Our approach is based on a multi-domain formulation of a nonlocal diffusion problem wher…

math.NA2021★ 49 cited

A machine-learning framework for peridynamic material models with physical constraints

Xiao Xu, Marta D'Elia, John T. Foster

As a nonlocal extension of continuum mechanics, peridynamics has been widely and effectively applied in different fields where discontinuities in the field variables arise from an…

math.NA2020★ 2 cited

A unified, stable and accurate meshfree framework for peridynamic correspondence modeling. Part II: wave propagation and enforcement of stress boundary conditions

Masoud Behzadinasab, John T. Foster, Yuri Bazilevs

The overarching goal of this work is to develop an accurate, robust, and stable methodology for finite deformation modeling using strong-form peridynamics (PD) and the corresponden…

math.NA2020★ 22 cited

Asymptotically compatible reproducing kernel collocation and meshfree integration for the peridynamic Navier equation

Yu Leng, Xiaochuan Tian, Nathaniel A. Trask +1

In this work, we study the reproducing kernel (RK) collocation method for the peridynamic Navier equation. We first apply a linear RK approximation on both displacements and dilata…

math.NA2019★ 6 cited

Asymptotically compatible reproducing kernel collocation and meshfree integration for nonlocal diffusion

Yu Leng, Xiaochuan Tian, Nathaniel Trask +1

Reproducing kernel (RK) approximations are meshfree methods that construct shape functions from sets of scattered data. We present an asymptotically compatible (AC) RK collocation…

math.NA2019★ 35 cited

On the stability of the generalized, finite deformation correspondence model of peridynamics

Masoud Behzadinasab, John T. Foster

A class of peridynamic material models known as constitutive correspondence models provide a bridge between classical continuum mechanics and peridynamics. These models are useful…