Multiscale Methods Bridging the Scales in Science and Engineering

by Fish, Jacob

• ISBN13: 9780199233854
• ISBN10: 0199233853
• Format: Hardcover
• Copyright: 2009-12-20
• Publisher: Oxford University Press

Summary

Small scale features and processes occurring at a nanometer and femtoseconds scales have a profound impact on what happens at a larger scale and over extensive period of time. The primary objective of this volume is to reflect the-state-of-the art in multiscale mathematics, modeling and simulations and to address the following barriers: What is the information that needs to be transferred from one model or scale to another and what physical principles must be satisfied during the transfer of information? What are the optimal ways to achieve such transfer of information? How to quantify variability of physical parameters at multiple scales and how to account for it to ensure design robustness? Various multiscale approaches in space and time presented in this Volume are grouped into two main categories: information-passing and concurrent. In the concurrent approaches, various scales are simultaneously resolved, whereas in the information-passing methods, the fine scale is modeled and its gross response is infused into the continuum scale. The issue of reliability of multiscale modeling and simulation tools is discussed in several, which focus on hierarchy of multiscale models and a posterior model error estimation including uncertainty quantification. Component software that can be effectively combined to address a wide range of multiscale simulations is described as well. Applications range from advanced materials, to nanoelectromechanical systems (NEMS), to biological systems, and nanoporous catalysts where physical phenomena operate across 12 orders of magnitude in time scales and 10 orders of magnitude in spatial scales. A valuable reference book for scientists, engineers and graduate students practicing in traditional engineering and science disciplines as well as in emerging fields of nanotechnology, biotechnology, microelectronics and energy.

Author Biography

Dr Fish is The Rosalind and John J. Redfern Jr. '33 Chaired Professor in Engineering at the Renssalaer Polytechnic Institute and a Fellow of the American Academy of Mechanics, United States Association for Computational Mechanics, and the International Association for Computational Mechanics. He has written over 150 articles and book chapters on the subject of multiscale computational science. Dr. Fish received numerous NSF awards including Young Investigator Award, NASA Langley research grant related to High Speed Civil Transport (HSCT), contracts from Lockheed Missiles & Space Company, Sikorski, ALCOA, Northrop-Grumman, GE, Rolls-Royce, Allison Engines, GM, Chrysler and Ford on various aspects of structural integrity; NSF, AFOSR, ONR, SANDIA and DARPA grants for development of multiscale computational techniques. He is currently directing the National Science Foundation Nanoscale Interdisciplinary Research Teams (NIRT) program at Rensselaer.

Table of Contents

Preface

Information-Passing Multiscale Methods in Space

Mixed multiscale finite element methods on adaptive unstructured grids using limited global information

Formulations of Mechanics problems for materials with self-similar multiscale microstructure

N-scale Model Reduction Theory

Concurrent Multiscale Methods in Space

Concurrent Coupling of Atomistic and Continuum Models

Coarse-grained molecular dynamics: Concurrent Multiscale Simulation at Finite Temperature

Atomistic to continuum coupling

Space-Time Scale Bridging Methods

Methods of Systematic Upscaling

Equation-free computation: an overview of patch dynamics

On multiscale computational mechanics with time-space homogenization

Adaptivity, Error Estimation and Uncertainty Quantification

Estimation and Control of Modeling Error: A General Approach to Multiscale Modeling

Error Estimates for Multiscale Methods for Multiphysics Problems

Multiscale Software

Component Software for Multiscale Simulation

Selected Multiscale Applications

Finite Temperature Multiscale Methods for Silicon NEMS

Multiscale materials

From Macroscopic to Mesoscopic Models of Chromatin Folding

Multiscale Nature Inspired Chemical Engineering

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