Доступ предоставлен для: Guest
International Journal for Multiscale Computational Engineering

Выходит 6 номеров в год

ISSN Печать: 1543-1649

ISSN Онлайн: 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 ATOMISTIC–CONTINUUM MULTISCALE METHOD FOR MODELING THE THERMOMECHANICAL BEHAVIOR OF HETEROGENEOUS NANOSTRUCTURES

Том 16, Выпуск 5, 2018, pp. 441-464
DOI: 10.1615/IntJMultCompEng.2018027760
Get accessGet access

Краткое описание

In this paper, a computational hierarchical multiscale method is presented to investigate the effect of temperature on mechanical behavior of heterogeneous nanomaterials. The embedded-atom method many-body interatomic potential is employed to investigate the complex interaction between the atoms of copper–aluminum (Cu-Al) alloy at various temperature levels. The thermomechanical properties of Cu-Al alloy are studied at various percentages of Cu-Al. The Nose-Hoover thermostat is proposed for the molecular dynamics analysis. In order to evaluate the equivalent lattice parameter, a weighted average value is used between the lattice parameters of Cu and Al single crystals. The strain energy of the heterogeneous nanostructure is obtained for the multiscale analysis by fitting the polynomial of appropriate order to the data obtained from the representative volume element (RVE) subjected to various types of loading. The variations of ultimate stress, elastic constants, and bulk moduli are computed for the RVEs containing different percentages of Cu-Al alloy at various temperature levels. In order to perform a bridge between the atomistic model and continuum domain, the mechanical properties obtained from the molecular dynamics analysis are transferred to the macroscale level within the multiscale analysis. Finally, several numerical examples are solved to assess the applicability and efficiency of the proposed computational algorithm for studying the behavior of heterogeneous nanostructures in different temperatures.

ЦИТИРОВАНО В
  1. Jahanshahi M., Ahmadi H., Khoei A.R., A hierarchical hyperelastic-based approach for multi-scale analysis of defective nano-materials, Mechanics of Materials, 140, 2020. Crossref

  2. Jafarian Navid, Mostofinejad Davood, Naderi Ali, Effects of FRP grids on punching shear behavior of reinforced concrete slabs, Structures, 28, 2020. Crossref

  3. Ahmadi H., Jahanshahi M., Khoei A.R., Bordas S., Mechanical behavior of multilayer graphene reinforced epoxy nano-composites via a hierarchical multi-scale technique, Carbon Trends, 4, 2021. Crossref

Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции Цены и условия подписки Begell House Контакты Language English 中文 Русский Português German French Spain