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Record W4390022857 · doi:10.18280/mmep.100626

Numerical Solution for Masonry Wall Using General Static Step with ABAQUS/Standard

2023· article· en· W4390022857 on OpenAlexvenueno aff
Zainab Faisal Mutashar Falih, Ammar Jasim Dakhi, Samoel Mahdi Saleh

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMasonryStructural engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

Masonry construction, an archaic and versatile building technique, entails the assembly of varied or homogeneous components (including brick, concrete block, stone, etc.) bound by cohesive agents such as mortar.The purpose of this study was to authenticate the validity of an ABAQUS-based solution corresponding to the experimental model of masonry shear walls tested by Raijmakers and Vermeltfoort under in-plane loading, thereby substantiating a developed Finite Element (FE) model.Utilizing a general nonlinear static procedure, the ABAQUS finite element software was employed for scrutinizing a continuous (990×1000) mm brick wall, absent of any openings.Analysis of the unreinforced masonry (URM) wall, facilitated by the ABAQUS software, yielded results that closely mirrored those of the experimental model.This comparison serves to underscore the implications of the current modeling approach and the proposed wall properties on its response, thereby fostering an enhanced comprehension of the global in-plane behavior of unreinforced brick masonry walls.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.215
Teacher spread0.191 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations2
Published2023
Admission routes1
Has abstractyes

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