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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 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

MULTISCALE MODEL-BASED SENSITIVITY ANALYSIS OF MECHANICAL RESPONSE OF CNT/POLYMER FOR STRAIN SENSING

Volume 16, Issue 4, 2018, pp. 397-407
DOI: 10.1615/IntJMultCompEng.2018027039
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ABSTRACT

Carbon nanotubes (CNTs), due to their extraordinary properties, have gained much interest in scientific communities. One of possible applications is as a sensing element. Specially strain sensing capabilities of structures based on CNTs networks dispersed within polymer were widely investigated for structural strength monitoring (SHM) in recent years. However, due to the size of CNTs, it is rather difficult to predict sensor properties or calibrate them a priori using analytical or experimental models. Numerical modeling and experimental preparation of CNT/polymer composites often idealize mechanical and geometrical properties of composite components (such as constant CNTs Young's modulus). From the design viewpoint, it is critical to distinguish the actual impact of a particular parameter on the global material response, i.e., determining the most influential factors. In the presented work, a sensitivity analysis based on the Morris method was employed for determining the influence of material design parameters on mechanical response of the composite. For the composite considered herein, input parameters include the diameter of CNTs, length of CNTs, CNTs Young's modulus, orientation of CNTs, volume fraction of CNTs and Young's modulus of the epoxy resin, and their influence on global mechanical properties; namely, the values of the Young's moduli along each axis of the Cartesian coordinate system, the Kirchoff's moduli values, and the Poisson ratios were investigated using multiscale numerical framework.

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