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Title: An extended micromechanics method for probing interphase properties in polymer nanocomposites [An extended micromechanics method for overlapping geometries with application to polymer nanocomposites]

Journal Article · · Journal of the Mechanics and Physics of Solids
 [1];  [2];  [1]
  1. Northwestern Univ., Evanston, IL (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Inclusions comprised on filler particles and interphase regions commonly form complex morphologies in polymer nanocomposites. Addressing these morphologies as systems of overlapping simple shapes allows for the study of dilute particles, clustered particles, and interacting interphases all in one general modeling framework. To account for the material properties in these overlapping geometries, weighted-mean and additive overlapping conditions are introduced and the corresponding inclusion-wise integral equations are formulated. An extended micromechanics method based on these overlapping conditions for linear elastic and viscoelastic heterogeneous material is then developed. An important feature of the proposed approach is that the effect of both the geometric overlapping (clustered particles) and physical overlapping (interacting interphases) on the effective properties can be distinguished. Lastly, we apply the extended micromechanics method to a viscoelastic polymer nanocomposite with interphase regions, and estimate the properties and thickness of the interphase region based on experimental data for carbon-black filled styrene butadiene rubbers.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344; LLNL-JRNL-673797; AC52–07NA27344
OSTI ID:
1343822
Alternate ID(s):
OSTI ID: 1397693
Report Number(s):
LLNL-JRNL-673797
Journal Information:
Journal of the Mechanics and Physics of Solids, Vol. 95, Issue C; ISSN 0022-5096
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 27 works
Citation information provided by
Web of Science

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A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics journal May 2019
A review of the application of machine learning and data mining approaches in continuum materials mechanics text January 2019