An efficient algorithm for generating diverse microstructure sets and delineating properties closures

Johnson, Oliver K.; Kurniawan, Christian

doi:10.1016/j.actamat.2018.01.004

Title: An efficient algorithm for generating diverse microstructure sets and delineating properties closures

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Abstract

Properties closures delineate the theoretical objective space for materials design problems, allowing designers to make informed trade-offs between competing constraints and target properties. In this paper, we present a new algorithm called hierarchical simplex sampling (HSS) that approximates properties closures more efficiently and faithfully than traditional optimization based approaches. By construction, HSS generates samples of microstructure statistics that span the corresponding microstructure hull. As a result, we also find that HSS can be coupled with synthetic polycrystal generation software to generate diverse sets of microstructures for subsequent mesoscale simulations. Finally, by more broadly sampling the space of possible microstructures, it is anticipated that such diverse microstructure sets will expand our understanding of the influence of microstructure on macroscale effective properties and inform the construction of higher-fidelity mesoscale structure-property models.

Authors:

Johnson, Oliver K. ^[1];

^[2]

Brigham Young Univ., Provo, UT (United States). Dept. of Mechanical Engineering; Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Materials Science and Engineering
Brigham Young Univ., Provo, UT (United States). Dept. of Mechanical Engineering

Publication Date:: Sat Feb 03 00:00:00 EST 2018

Research Org.:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Brigham Young Univ., Provo, UT (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES); National Science Foundation (NSF); USDOD

OSTI Identifier:: 1429062

Alternate Identifier(s):: OSTI ID: 1548772

Grant/Contract Number:: SC0008926; 1610077

Resource Type:: Accepted Manuscript

Journal Name:: Acta Materialia

Additional Journal Information:: Journal Volume: 147; Journal ID: ISSN 1359-6454

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; 36 MATERIALS SCIENCE; 42 ENGINEERING; microstructure; microstructure hull; properties closure; microstructure design

Citation Formats


                    Johnson, Oliver K., and Kurniawan, Christian. An efficient algorithm for generating diverse microstructure sets and delineating properties closures.  United States: N. p., 2018. 
Web.  doi:10.1016/j.actamat.2018.01.004.

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                    Johnson, Oliver K., & Kurniawan, Christian. An efficient algorithm for generating diverse microstructure sets and delineating properties closures.  United States.  https://doi.org/10.1016/j.actamat.2018.01.004

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                    Johnson, Oliver K., and Kurniawan, Christian. Sat .  
"An efficient algorithm for generating diverse microstructure sets and delineating properties closures".  United States.  https://doi.org/10.1016/j.actamat.2018.01.004.  https://www.osti.gov/servlets/purl/1429062.

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@article{osti_1429062,

  title        = {An efficient algorithm for generating diverse microstructure sets and delineating properties closures},

  author       = {Johnson, Oliver K. and Kurniawan, Christian},

  abstractNote = {Properties closures delineate the theoretical objective space for materials design problems, allowing designers to make informed trade-offs between competing constraints and target properties. In this paper, we present a new algorithm called hierarchical simplex sampling (HSS) that approximates properties closures more efficiently and faithfully than traditional optimization based approaches. By construction, HSS generates samples of microstructure statistics that span the corresponding microstructure hull. As a result, we also find that HSS can be coupled with synthetic polycrystal generation software to generate diverse sets of microstructures for subsequent mesoscale simulations. Finally, by more broadly sampling the space of possible microstructures, it is anticipated that such diverse microstructure sets will expand our understanding of the influence of microstructure on macroscale effective properties and inform the construction of higher-fidelity mesoscale structure-property models.},

  doi          = {10.1016/j.actamat.2018.01.004},

  journal      = {Acta Materialia},

  number       = ,

  volume       = 147,

  place        = {United States},

  year         = {Sat Feb 03 00:00:00 EST 2018},

  month        = {Sat Feb 03 00:00:00 EST 2018}

}

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