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Record W4387804057 · doi:10.1002/9781118535875.ch12

An Introduction to Multiscale analysis with <scp>XFEM</scp>

2023· other· en· W4387804057 on OpenAlexaff
Robert Gracie

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsExtended finite element methodComputer sciencePhysicsFinite element methodThermodynamics

Abstract

fetched live from OpenAlex

This chapter provides a brief introduction to the subject of continuum-atomistic multiscale models. The governing equations of a molecular statics (MS) simulation are described. The chapter also describes how to define an elastic continuum constitutive model based upon an underlying atomistic model. When a lattice deforms elastically and homogeneously it is possible to map the deformations and forces of the atomistic model to the displacements and stresses of an effective continuum model. This is accomplished via a simple hierarchical multiscale model commonly known as the Cauchy-Born rule, which was made popular by the quasicontinuum method of Tadmor et al., but was first considered by Johnson and Milstein. The bridging domain method (BDM) of Xiao and Belytschko and Xiao and Yang is introduced to couple an MS model with the FEM. The chapter illustrates the accuracy of the extended finite element method-BDM relative to a fully atomistic MS simulation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.510
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.004
GPT teacher head0.199
Teacher spread0.195 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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Same topicComposite Material MechanicsFrench-language works237,207