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International Journal for Multiscale Computational Engineering

Publicado 6 números por año

ISSN Imprimir: 1543-1649

ISSN En Línea: 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

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COMPUTATIONAL FRAMEWORK FOR SHORT-STEEL FIBER-REINFORCED ULTRA-HIGH PERFORMANCE CONCRETE (COR-TUF)

Volumen 17, Edición 5, 2019, pp. 551-562
DOI: 10.1615/IntJMultCompEng.2019031517
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SINOPSIS

We present a novel computational framework aimed at predicting the behavior of a short-steel fiber-reinforced ultrahigh-performance concrete (Cor-Tuf) at a scale of its microconstituents given limited experimental data. By this approach, a high-fidelity model (HFM) that approximates microstructural behavior using direct numerical simulation is constructed first. The rational for utilizing HFM at the initial stage stems from the fact that constitutive laws of its individual microphases are rather simple and, by at large, can be found in the available literature. The calibrated HFM is then employed to construct a digital database that represents additional load cases not available in the original physical experimental database. In comparison to HFM, the added complexity of material models in a lower fidelity model (LFM) based on the statistical sliced reduced order homogenization stems from simplified kinematical assumptions made in the LFM. Validation studies are conducted against a physical experiment of a notched three-point beam bending (TPBB) problem.

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CITADO POR
  1. Chen Le, Sun Weiwei, Chen Bingcheng, Xu Sen, Liang Jianguo, Ding Chufan, Feng Jun, A Comparative Study on Blast-Resistant Performance of Steel and PVA Fiber-Reinforced Concrete: Experimental and Numerical Analyses, Crystals, 10, 8, 2020. Crossref

  2. Feng Jun, Chen Bingcheng, Sun Weiwei, Wang Yang, Microbial induced calcium carbonate precipitation study using Bacillus subtilis with application to self-healing concrete preparation and characterization, Construction and Building Materials, 280, 2021. Crossref

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