Combining material and model pedigree is foundational to making ICME a reality

  • Steven M Arnold
  • Frederic A HollandJr
  • Brett A Bednarcyk
  • Evan J Pineda
Research article
Part of the following topical collections:
  1. Integrated Computational Engineering of Composites


With the increased emphasis on reducing the cost and time to market of new materials, the need for analytical tools that enable the virtual design and optimization of materials throughout their processing-internal structure-property-performance envelope, along with the capturing and storing of the associated material and model information across its life cycle, has become critical. This need is also fueled by the demands for higher efficiency in material testing; consistency, quality, and traceability of data; product design; engineering analysis; as well as control of access to proprietary or sensitive information. Fortunately, materials information management systems and physics-based multiscale modeling methods have kept pace with the growing user demands. Herein, recent efforts to identify best practices associated with these user demands and key principles for the development of a robust materials information management system will be discussed. The goals are to enable the connections at various length scales to be made between experimental data and corresponding multiscale modeling toolsets and, ultimately, to enable ICME to become a reality. In particular, the NASA Glenn Research Center efforts towards establishing such a database (for combining material and model pedigree) associated with both monolithic and composite materials as well as a multiscale, micromechanics-based analysis toolset for such materials will be discussed.


Information Management Informatics Data schema Analysis Experimental Data Simulation Data Pedigree Multiscale Modeling Micromechanics 



The first two authors are grateful to their colleagues in the MDMC for many useful discussions on the key issues addressed in this paper.


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© Arnold et al.; licensee Springer. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Steven M Arnold
    • 1
  • Frederic A HollandJr
    • 1
  • Brett A Bednarcyk
    • 1
  • Evan J Pineda
    • 1
  1. 1.NASA Glenn Research CenterClevelandUSA

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