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Home / Journals / Advances in Materials / Advances in Multiscale Modeling Approach
Advances in Multiscale Modeling Approach
Lead Guest Editor:
Jinjun Zhang
Mechanical Engineering, Arizona State University, Tempe, Arizona, USA
Guest Editors
Elena Lacatus
Department of Nanotechnology and Special Technologies, Polytechnic University
Bucharest, Romania
Likun Tan
Thayer School of Enigineering, Dartmouth College
Hanover, NH, USA
Baofang Zhang
School of Packaging, Michigan State University
East lansing, Mi, USA
Jia Liu
School of Engineering and Applied Sciences, Harvard University
Cambridge, MA, USA
Shunqiang Wang
Department of Electrical Engineering, Princeton University
Princeton, New Jersey, USA
Shuo Cui
Department of Materials Science and Engineering, University of Arizona
Tucson, Arizona, USA
Ganesh K. C.
Department of Mechanical Engineering, University College of Engineering, Nagercoil
Nagercoil, Tamil Nadu, India
SINTEF
Pearland, Texas, USA
Department of Physics, Al-Aqsa University
Gaza, Palestinian Territories
Zupan Hu
Department of Mechanical Engineering, University of Michigan, Ann Arbor
Ann Arbor, MI, USA
Kiss Imre
Department Engineering & Management, University Politehnica Timisoara
Hunedoara, Romania
Paper List
1
Authors: Likun Tan
Pages: 1-9 Published Online: Sep. 3, 2016
Views 3245 Downloads 111
2
Authors: Zupan Hu
Pages: 10-17 Published Online: Dec. 8, 2016
Views 2735 Downloads 77
Introduction

Traditional approaches to modeling focus on one scale. By considering simultaneously models at different scales, an approach that shares the efficiency of the macroscopic models as well as the accuracy of the microscopic models was important. There has been considerable efforts in trying to understand the relations between microscopic and macroscopic models. There have also been several classical success stories of combining physical models at different levels of detail to efficiently and accurately model complex processes of interest. The multiscale, multi-physics viewpoint opens up unprecedented opportunities for modeling. It opens up the opportunity to put engineering models on a solid footing. It allows us to connect engineering applications with basic science. It offers a more unified view to modeling, by focusing more on the different levels of physical laws and the relations between them, with the specific applications as examples. On the other hand, damage assessment and residual useful life estimation are essential for aerospace, civil and naval structures. Multiscale modeling is a key element in material life estimation and structure health monitoring. It not only provides important information on the physics of failure, such as damage initiation and growth, the output can be used as “virtual sensing” data for detection and prognosis.

Aims and Scope:
. Advanced modeling in multiple scales
. Material characterization
. Damage evaluation and detection
. Fatigue, fracture and damage estimation
. Material representation in multiple length scales
. Comparison between simulation and experiment
. Structure health monitoring

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