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Dive into the research topics where Richard B. Lehoucq is active.

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Featured researches published by Richard B. Lehoucq.


Multiscale Modeling & Simulation | 2010

A Nonlocal Vector Calculus with Application to Nonlocal Boundary Value Problems

Max Gunzburger; Richard B. Lehoucq

We develop a calculus for nonlocal operators that mimics Gausss theorem and Greens identities of the classical vector calculus. The operators we define do not involve derivatives. We then apply the nonlocal calculus to define weak formulations of nonlocal “boundary-value” problems that mimic the Dirichlet and Neumann problems for second-order scalar elliptic partial differential equations. For the nonlocal problems, we derive a fundamental solution and Greens functions, demonstrate that weak formulations of the nonlocal “boundary-value” problems are well posed, and show how, under appropriate limits, the nonlocal problems reduce to their local analogues.


Multiscale Modeling & Simulation | 2008

On Atomistic-to-Continuum Coupling by Blending

Santiago Badia; Michael L. Parks; Pavel B. Bochev; Max Gunzburger; Richard B. Lehoucq

A mathematical framework for the coupling of atomistic and continuum models by blending them over a subdomain subject to a constraint is developed. Using the framework, four classes of atomistic-to...


Archive | 2007

A mathematical framework for multiscale science and engineering : the variational multiscale method and interscale transfer operators.

Gregory J. Wagner; Samuel Scott Collis; Jeremy Alan Templeton; Richard B. Lehoucq; Michael L. Parks; Reese E. Jones; Stewart Andrew Silling; Guglielmo Scovazzi; Pavel B. Bochev

This report is a collection of documents written as part of the Laboratory Directed Research and Development (LDRD) project A Mathematical Framework for Multiscale Science and Engineering: The Variational Multiscale Method and Interscale Transfer Operators. We present developments in two categories of multiscale mathematics and analysis. The first, continuum-to-continuum (CtC) multiscale, includes problems that allow application of the same continuum model at all scales with the primary barrier to simulation being computing resources. The second, atomistic-to-continuum (AtC) multiscale, represents applications where detailed physics at the atomistic or molecular level must be simulated to resolve the small scales, but the effect on and coupling to the continuum level is frequently unclear.


Archive | 2010

Peridynamics as a Rigorous Coarse-Graining of Atomistics for Multiscale Materials Design

Richard B. Lehoucq; John Bahram Aidun; Stewart Andrew Silling; Mark P. Sears; James R. Kamm; Michael L. Parks

This report summarizes activities undertaken during FY08-FY10 for the LDRD Peridynamics as a Rigorous Coarse-Graining of Atomistics for Multiscale Materials Design. The goal of our project was to develop a coarse-graining of finite temperature molecular dynamics (MD) that successfully transitions from statistical mechanics to continuum mechanics. The goal of our project is to develop a coarse-graining of finite temperature molecular dynamics (MD) that successfully transitions from statistical mechanics to continuum mechanics. Our coarse-graining overcomes the intrinsic limitation of coupling atomistics with classical continuum mechanics via the FEM (finite element method), SPH (smoothed particle hydrodynamics), or MPM (material point method); namely, that classical continuum mechanics assumes a local force interaction that is incompatible with the nonlocal force model of atomistic methods. Therefore FEM, SPH, and MPM inherit this limitation. This seemingly innocuous dichotomy has far reaching consequences; for example, classical continuum mechanics cannot resolve the short wavelength behavior associated with atomistics. Other consequences include spurious forces, invalid phonon dispersion relationships, and irreconcilable descriptions/treatments of temperature. We propose a statistically based coarse-graining of atomistics via peridynamics and so develop a first of a kind mesoscopic capability to enable consistent, thermodynamically sound, atomistic-to-continuum (AtC) multiscale material simulation. Peridynamics (PD) is a microcontinuum theory morexa0» that assumes nonlocal forces for describing long-range material interaction. The force interactions occurring at finite distances are naturally accounted for in PD. Moreover, PDs nonlocal force model is entirely consistent with those used by atomistics methods, in stark contrast to classical continuum mechanics. Hence, PD can be employed for mesoscopic phenomena that are beyond the realms of classical continuum mechanics and atomistic simulations, e.g., molecular dynamics and density functional theory (DFT). The latter two atomistic techniques are handicapped by the onerous length and time scales associated with simulating mesoscopic materials. Simulating such mesoscopic materials is likely to require, and greatly benefit from multiscale simulations coupling DFT, MD, PD, and explicit transient dynamic finite element methods FEM (e.g., Presto). The proposed work fills the gap needed to enable multiscale materials simulations. «xa0less


Archive | 2010

Peridynamics with LAMMPS: A User Guide v0.2 Beta

Sandia Report; Michael L. Parks; Pablo Seleson; Steven J. Plimpton; Richard B. Lehoucq; Stewart Andrew Silling


Archive | 2004

ON STABILIZED FINITE ELEMENT METHODS FOR TRANSIENT PROBLEMS WITH VARYING TIME SCALES

Pavel B. Bochev; Max Gunzburger; Richard B. Lehoucq


Archive | 2001

On finite element discretizations of the pure Neumann problem

Pavel Bochev; Richard B. Lehoucq


Archive | 2009

Peridynamic modeling of the dynamic response of heterogeneous media.

Stewart Andrew Silling; Richard B. Lehoucq; Florin Bobaru; Abe Askari; Olaf Weckner


Archive | 2014

Installing the Anasazi Eigensolver Package with Application to Some Graph Eigenvalue Problems

Sandia Report; Erik G. Boman; Karen Dragon Devine; Richard B. Lehoucq; Nicole Lemaster Slattengren; Heidi K. Thornquist


Archive | 2013

Peridynamic Balance Laws.

Richard B. Lehoucq; Stewart Andrew Silling; Qiang Du; Max Gunzburger

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Michael L. Parks

Sandia National Laboratories

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Max Gunzburger

Florida State University

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Pavel B. Bochev

Sandia National Laboratories

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Abe Askari

Boeing Commercial Airplanes

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James R. Kamm

Sandia National Laboratories

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Sandia Report

Sandia National Laboratories

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Erik G. Boman

Pacific Northwest National Laboratory

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Florin Bobaru

University of Nebraska–Lincoln

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