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Record W4390241879 · doi:10.9798/kosham.2023.23.6.259

A Study on Causes and Stability of Masonry Retaining Walls by Case Analysis

2023· article· en· W4390241879 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKorean Society of Hazard Mitigation · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsMasonryRetaining wallGeotechnical engineeringFoundation (evidence)Progressive collapseLimit analysisUnreinforced masonry buildingGeologyExcavationSettlement (finance)Forensic engineeringEngineeringStructural engineeringComputer scienceReinforced concreteGeographyFinite element method

Abstract

fetched live from OpenAlex

Masonry retaining walls, which have been used since long time, have recently been widely used in the construction of small complexesas an easy-to-purchase material and eco-friendly structure. Disasters owing to the collapse of these masonry retaining walls have frequently occurred over time. The purpose of this study is to quantitatively evaluate the causes for the collapse of masonry retainingwalls by collecting and analyzing collapse data using collapse phenomenon field trips, literature review, and search tools, and to use this analysis data, to suggest measures to prevent the collapse of masonry retaining walls. As a result of collecting and analyzing collapse case data, this study found that the main causes of masonry retaining wall collapse were the loss of foundation ground (scour), ground displacement owing to the excavation of adjacent land, settlement owing to ground softening because of rainfallinfiltration, poor drainage, and inclination of stonework. The causes for collapse were of eight types, including slope sliding additionalloading, and vibration, and 16 types when literature data were included. An analysis of the collapse frequency based on the causes for collapse revealed that the two causes for collapse, foundation and drainage, accounted for approximately 60% of the total cause,and measures for stability and Governing law of critical factor were proposed using this result.

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.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.334
Teacher spread0.282 · 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