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International Journal for Multiscale Computational Engineering

Publicou 6 edições por ano

ISSN Imprimir: 1543-1649

ISSN On-line: 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

A Multiscale Design System for Fatigue Life Prediction

Volume 5, Edição 6, 2007, pp. 435-446
DOI: 10.1615/IntJMultCompEng.v5.i6.10
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RESUMO

We present a multiscale design system (MDS) for fatigue life prediction of composite materials and structures. The system is based on the reduced order spatial homogenization, adaptive cycle block integration, and identification of fine-scale material parameters from experimental data. Fatigue is modeled as a multiscale space-time problem. The reduced order homogenization is used for spatial upscaling (or coarse graining). The cycle block scheme, which estimates the rate of material degradation from a single load cycle and then adaptively projects it over n cycles, is used for temporal upscaling. The MDS has been seamlessly integrated in ABAQUS, and a graphical user interface has been developed.

CITADO POR
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  2. An Introduction to Integrated Computational Materials Engineering (ICME), in Integrated Computational Materials Engineering (ICME) for Metals, 2012. Crossref

  3. Crouch Robert, Oskay Caglar, Clay Stephen, Multiple spatio-temporal scale modeling of composites subjected to cyclic loading, Computational Mechanics, 51, 1, 2013. Crossref

  4. Fish Jacob, Towards a General Purpose Design System for Composites, in Multiscale Simulations and Mechanics of Biological Materials, 2013. Crossref

  5. Grigorovitch Marina, Gal Erez, The local response in structures using the Embedded Unit Cell Approach, Computers & Structures, 157, 2015. Crossref

  6. Fackeldey Konstantin, Challenges in Atomistic-to-Continuum Coupling, Mathematical Problems in Engineering, 2015, 2015. Crossref

  7. Grigorovitch M., Gal E., Homogenization of non-periodic zones in periodic domains using the embedded unit cell approach, Computers & Structures, 179, 2017. Crossref

  8. Fish Jacob, Multiscale Modeling and Simulation of Composite Materials and Structures, in Multiscale Methods in Computational Mechanics, 55, 2011. Crossref

  9. Horstemeyer M. F., Multiscale Modeling: A Review, in Practical Aspects of Computational Chemistry, 2009. Crossref

  10. Grigorovitch Marina, Gal Erez, Waisman Haim, Embedded unit cell homogenization model for localized non-periodic elasto-plastic zones, Computational Mechanics, 68, 6, 2021. Crossref

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