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Record W2582253797

A method for measurement of three-dimensional constitutive properties for composite materials

2011· article· en· W2582253797 on OpenAlexaff
A. Makeev, Yihong He, Brian Shonkwiler, E. Lee, Hubert W. Schreier, Yuri Nikishkov

Bibliographic record

Venue18th International Conference on Composites Materials, ICCM 2011 · 2011
Typearticle
Languageen
FieldMaterials Science
TopicEngineering and Material Science Research
Canadian institutionsBell Helicopter Textron (Canada)
Fundersnot available
KeywordsMaterials scienceComposite materialCharacterization (materials science)Material propertiesDeformation (meteorology)Constitutive equationStress (linguistics)Tensile testingMicromechanicsModulusUltimate tensile strengthComposite numberStructural engineeringFinite element methodNanotechnology
DOInot available

Abstract

fetched live from OpenAlex

Accurate three-dimensional stress-strain constitutive properties are essential for understanding of complex deformation and failure mechanisms for materials with highly anisotropic mechanical properties. Among such materials, glass-fiber and carbon-fiber reinforced polymer-matrix composites play a critical role in advanced structural designs. A large number of different methods and specimen types currently required to generate threedimensional allowables for structural design slow down the material characterization. Also, some of the material constitutive properties are never measured due to prohibitive cost of the specimens used for the material characterization. This work shows that simple short-beam shear specimens are well-suited for measurement of 3D constitutive properties for composite materials, and that can enable a major shift toward accurate 3D material characterization. The material characterization is based on the Digital Image Correlation full-field deformation measurement and simple stress analysis. This work introduces three fundamental contributions to the characterization of mechanical properties for composite materials. First, tensile, compressive, and shear stress-strain relations are measured in a single experiment. Second, a counterintuitive feasibility of closed-form stress and modulus models, normally applicable to long beams, is demonstrated for short-beam coupons. The modulus and stress-strain data are presented for glass/epoxy and carbon/epoxy material systems. And third, the test method is viable for measurement of stress-strain relations at various load rates including static, fatigue, and impact load conditions. Introduction Analysis of mechanical behavior of materials and structures requires knowledge of material stressstrain constitutive properties. Growing acceptance and rapid development of materials with highlyanisotropic mechanical properties, including glassreinforced and carbon-reinforced polymer-matrix composites, left accurate characterization of their constitutive properties behind. Structural analysis of composites oftentimes requires accurate assessment of their three-dimensional stress and deformation states to understand complex failure mechanisms [1,2]. Therefore, accurate three-dimensional stressstrain constitutive relations are needed. Standard techniques for assessment of stress-strain constitutive relations for materials are based on resistance strain gage measurements. As a strain gage measures a “point” strain averaged through the gage area, such measurement imposes constraints on the test specimen designs. For example, a standard practice for assessment of transverse shear constitutive properties for composites is the Vnotched beam method [3]. Strain gage measurements in the V-notched beam method drive high specimen cost: at least 0.75-inch (19 mm) thick laminate is required to machine specimens for strain gage placement; and tight geometry tolerances are imposed to minimize variations of strain at the gage location. Also, a large number of different test specimen types used for assessment of constitutive properties, including tensile, compressive, and shear stress-strain curves in the principal material planes [3], slow down 3D material characterization process. A METHOD FOR MEASUREMENT OF THREE-DIMENSIONAL CONSTITUTIVE PROPERTIES FOR COMPOSITE MATERIALS A. Makeev, Y. He, B. Shonkwiler, E. Lee, H. Schreier, Y. Nikishkov 1 University of Texas at Arlington, Arlington, TX, USA, 2 Georgia Institute of Technology, Atlanta, GA, USA, 3 Clark Atlanta University, Atlanta, GA, USA, 4 Bell Helicopter Textron, Hurst, TX, USA, 5 Correlated Solutions, Columbia, SC, USA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.184
GPT teacher head0.330
Teacher spread0.146 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2011
Admission routes1
Has abstractyes

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