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Record W3008466188 · doi:10.1061/9780784482810.003

A Synthesized Approach for Assessing the Seismic and Post-Seismic Performance of a Dumped Rockfill Dam with a Shotcrete Face

2020· article· en· W3008466188 on OpenAlex
Thuraisamy Thavaraj, Garry Stevenson

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeo-Congress 2020 · 2020
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsKlohn Crippen Berger (Canada)
Fundersnot available
KeywordsShotcreteFace (sociological concept)Geotechnical engineeringGeology

Abstract

fetched live from OpenAlex

Ageing dams located across the west coast of North America, both in the USA and Canada, are threatened by potential for large earthquakes. Assessing the seismic performance of these dams has been a challenge. This paper presents a synthesized approach for assessing the seismic and post-earthquake performance of a dumped rockfill dam built in the 1960s with a gunite (shotcrete) face as the water barrier. The dam may lose its freeboard due to seismic settlements. If loss of freeboard does not occur, the gunite face can still crack and allow leakage. Excessive discharge at the downstream toe due to the through-flow may cause the rockfill at the toe to unravel. Such unraveling and consequent sloughing of the slope may cause a dam breach. The synthesized approach consists of a dynamic analysis and methods for assessing the cracks in the gunite face, leakage through the upstream face, and potential for unraveling and instability of the downstream slope.

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)0.000
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: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.722

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 head0.008
GPT teacher head0.197
Teacher spread0.190 · 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