Evidence map›Paper›PMID 42797122›Full record

ArticlePolymers2026

HARVEST: A General-Purpose Platform for Mean-Field and Full-Field Composite Micromechanics and Its Validation with Polymer-Based Nanocomposites.

Mertol Tüfekci

Abstract read
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Mertol TüfekciCentre for Engineering Research, College Lane Campus, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0002-5530-1471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Composite micromechanics is commonly divided between rapid mean-field estimates and computationally intensive full-field representative-volume-element (RVE) simulations. When these routes use different files, conventions and post-processing procedures, discrepancies can reflect bookkeeping rather than mechanics. This paper introduces HARVEST (Homogenisation and Representative Volume Element Simulation Tool; version 0.7.0.dev0), a general-purpose platform that coordinates mean-field homogenisation, three-dimensional RVE generation, finite-element model preparation, solver execution, homogenisation, parameter studies and post-processing through common project, service and provenance boundaries. The numerical framework is material-agnostic, whereas verification and validation are demonstrated using polymer-based nanocomposites. The Mori-Tanaka bulk response for spherical inclusions reproduces the Hashin composite-sphere result to machine precision, independent orientation procedures agree to a relative difference of 1.6×10-14, and a sequential coated-particle approximation differs from an analytical composite-sphere reference by at most 0.417% over 24 polymer-relevant configurations. An archived full-field epoxy/silica-type campaign using kinematic uniform boundary conditions and 203 structured cells remains within the Hashin-Shtrikman interval at five inclusion fractions, with realisation scatter below 0.4%. For published epoxy nanocomposites, aligned halloysite-nanotube predictions differ from measured flexural moduli by -0.89 and +0.48%, while spherical carboxyl-terminated butadiene-acrylonitrile-rubber predictions differ by -7.03 and -2.25%. The main conclusion is that a shared, traceable description of constituents, morphology, loading and outputs supports rapid mean-field screening followed by selective full-field analysis using the same material definition. The principal advantage over single-route or loosely coupled workflows is cross-route consistency and reproducibility. HARVEST is applicable to formulation screening, sensitivity studies and local-field assessment in particulate, tubular, rubber-modified, porous and mixed-matrix polymer systems, and can be extended through validated constitutive, geometry, solver and result adapters.

Indexed as

CalculiXcomposite micromechanicsgeneral-purpose simulation platforminterphaseMori–Tanaka homogenisationperiodic boundary conditionspolymer-based nanocompositesrepresentative volume elementsoftware and physical-model validation

Identifiers

PMID42797122
PMCPMC13611745

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.