Abo Bibliothek: Guest
International Journal for Multiscale Computational Engineering
Jacob Fish (open in a new tab) Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, New York 10027, USA
J. Tinsley Oden (open in a new tab) Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
Somnath Ghosh (open in a new tab) Departments of Civil & Systems Engineering, Mechanical Engineering, and Material Science Engineering, Johns Hopkins University, Baltimore, MD, USA
Arif Masud (open in a new tab) Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 3129E Newmark Civil Engineering Laboratory, MC-250, Urbana, Illinois 61801-2352, USA
Klaus Hackl (open in a new tab) Institute of Mechanics of Materials, Ruhr-University Bochum, Bochum, 44721, Germany
Karel Matous (open in a new tab) Department of Aerospace and Mechanical Engineering, Center for Shock Wave-Processing of Advanced Reactive Materials, University of Notre Dame, Notre Dame, Indiana 46556, USA
Thomas J.R. Hughes (open in a new tab) Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, 201 East 24th Street, C0200, Austin, TX 78712-1229, USA
Caglar Oskay (open in a new tab) Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA
Tamar Schlick (open in a new tab) Department of Chemistry, New York University, New York, New York 10003, USA; Courant Institute of Mathematical Sciences, New York University, New York, New York, 10012, USA; NYU-ECNU Center for Computational Chemistry, NYU Shanghai, China
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

Emerging Sources Citation Index (ESCI) Clarivate SCIE Scopus Ei Compendex/ Engineering Village Chemical Abstracts Service EBSCO INSPEC British Library Google Scholar Ulrich's CNKI Portico Copyright Clearance Center iThenticate Scientific Literature

A MULTISCALE MODELING SCHEME BASED ON PERIDYNAMIC THEORY

pages 223-248
DOI: 10.1615/IntJMultCompEng.2014007954
Get accessGet access

ABSTRAKT

In this paper a multiscale modeling framework has been established between peridynamics (PD) and atomistic models. Typically, atomistic models are governed by molecular dynamics schemes (MD). Both PD and MD formulations are nonlocal. The atomistic model is coupled with a PD-based continuum model through a hierarchical multiscale modeling framework. In this framework, PD models at higher length scale act as an external environment for the PD models at a smaller length scale. Based on a similar idea, a smaller length scale PD model is seamlessly linked with the atomistic model. At the end of this hierarchical downscaling, information such as displacement field, deformation, etc. were captured in the atomistic region. The updated atomistic model is interconnected with all the PD models in the length scale hierarchy. This multiscale modeling scheme is named as "PFHMM: A peridynamics-based framework for hierarchical multiscale modeling." In this paper the mathematical formulation of PFHMM is discussed rigorously. Also, a thorough mathematical analysis is carried out in order to show that the issue with wave reflection between different models at different length scales is absent in PFHMM. The proposed multiscale modeling scheme is illustrated for different cases. It is seen that the displacement field has a strong correlation with the length scale of the material. Such an observation was verified with the experimental observation (i.e., example 4 on nanoindentation).

Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen Preise und Aborichtlinien Begell House Kontakt Language English 中文 Русский Português German French Spain