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Record W4283071244 · doi:10.22214/ijraset.2022.43804

Soil-Structure Interaction and Retaining walls: A Review Paper

2022· review· en· W4283071244 on OpenAlexaboutno aff
Ankith S Kottary, Dr. Shaik Kabeer Ahmed

Bibliographic record

VenueInternational Journal for Research in Applied Science and Engineering Technology · 2022
Typereview
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsnot available
FundersIndian Institute of Technology Bombay
KeywordsChinaExcavationGeographyArchaeologyCivil engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract: This general report is prepared from the selected 32 papers of 19th ICSMGE 2017 which are in the area of soil structure interaction and retaining walls relevant to the ISSMGE Technical Committee TC 207. Research papers presented during the session of TC 207 – Soil-Structure Interaction and Retaining walls are from 22 member societies of ISSMGE, which cover Argentina (1), Brazil(1), Canada (1), China (1), Egypt (2), Hong Kong (1), Hungary (1), India (2), Iran (1), Japan (2), Kazakhstan (2), Korea (2), Mexico(1), Netherland (1), New Zealand (1), Romania (1), Russia (2), South East Asia (1), Syria (1), Tunisia (1), UK (4) and USA (2). Valuein parenthesis signifies number of papers from that particular member society. The research areas of these articles cover a various sub-themes namely (1) Laboratory Testing and Modeling (2) Small and Large Works (3) Natural Hazards (4) Environmental Preservation and Sustainable Development (5) Geotechnical Cultures and Responsibilities (6) Future Technological Innovation. Keywords: retaining wall, deep excavation, finite element method, in-situ measurements, numerical and analytical methods

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.075
GPT teacher head0.404
Teacher spread0.330 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal for Research in Applied Science and Engineering TechnologySame topicGeotechnical Engineering and AnalysisFrench-language works237,207