Abo Bibliothek: Guest
International Journal for Multiscale Computational Engineering

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 1543-1649

ISSN Online: 1940-4352

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

AN OPTIMAL PREDICTION METHOD FOR UNDERRESOLVED TIME-MARCHING AND TIME-SPECTRAL

Volumen 11, Ausgabe 2, 2013, pp. 93-116
DOI: 10.1615/IntJMultCompEng.2012004317
Get accessGet access

ABSTRAKT

The prevalence of multiscale phenomena in nonlinear dynamical systems often necessitates the use of reduced-order models. Similar in concept to the traditional view of spatial reduced-order models, under-resolved time-discretization schemes may be used to decrease the computational burden while sacrificing some level of accuracy. We present a framework based on the optimal prediction formalism that can be used to minimize the errors intrinsic to any timediscretization scheme. Models will be developed for the unresolved subgrid-scale dynamics and added to the governing equations. These subgrid-scale models will interact with the resolved timescales as the system evolves, rendering the optimal solution with respect to the chosen resolution. To demonstrate the technique, we study the van der Pol oscillator using a well-known time-marching scheme and a novel time-spectral method.

REFERENZIERT VON
  1. LaBryer Allen, Attar Peter J., Vedula Prakash, Optimal spatiotemporal reduced order modeling, Part I: proposed framework, Computational Mechanics, 52, 2, 2013. Crossref

  2. LaBryer A., Attar P.J., Vedula P., Characterization of subgrid-scale dynamics for a nonlinear beam, Computers & Structures, 129, 2013. Crossref

  3. LaBryer A., Attar P.J., Vedula P., Optimal spatiotemporal reduced order modeling of the viscous Burgers equation, Finite Elements in Analysis and Design, 79, 2014. Crossref

  4. LaBryer A., Attar P. J., Vedula P., A framework for large eddy simulation of Burgers turbulence based upon spatial and temporal statistical information, Physics of Fluids, 27, 3, 2015. Crossref

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