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First Reservoir’s Impoundment of Plovdivtsi Asphalt-Concrete Core Rockfill Dam

2025· article· W4417493882 on OpenAlexaff
Daniel Verret, Mourad Karray

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2025
Typearticle
Language
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsUniversité de SherbrookeHydro-Québec
Fundersnot available
KeywordsCore (optical fiber)StiffnessDeformation (meteorology)CalibrationFlow (mathematics)Upstream (networking)Base (topology)

Abstract

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Abstract A two-dimensional explicit FD program FLAC 2D (Itasca Consulting Group Inc., 2011) model was developed to simulate the seepage flow and evaluate the static performance of the Plovdivtsi ACRD dam. Plate load tests conducted on site during construction were modelled in this study to establish the Duncan-Chang parameters. The calibration of Duncan–Chang parameters is based on the experimental oedometric curves carried out for the Romaine-2 ACRD dam (Lashin et al., 2021). The distribution of stresses and deformations during and at the end of the construction phase, as well as following the first reservoir impoundment, were calculated with numerical analyses. Results expose that the core, the adjacent fill zones and the base of the ACRD dam appear to behave in a similar way, as a retaining wall. Based on these calibrated parameters, the pressure induced by the reservoir displaces the core downstream, favouring the formation of a Vshaped section immediately behind the core on the upstream side with larger vertical displacements in comparison with the whole of the embankment. This contrast in vertical displacements leads to notable differential displacements, which could likely lead to the formation of cracks in the upper part of the upstream dam fill. Although this behaviour is consistent with literature, instrumental data from this dam tends to support that deformations during the first reservoir impoundment would be lower than those calculated with the calibrated model. A sensitivity analysis was carried out to study two scenarios that could result in less deformation during the first reservoir impoundment. One scenario involves doubling rockfill stiffness while the second one is to study the effect of very rapid impoundment, as was the case for this dam, also considering the upstream rockfill shell could possibly be slightly less permeable. This scenario simulates the effects of rapid reservoir impoundment while considering calibrated stiffness parameters in line with the results of plate load tests carried out during construction appear to be the most realistic based on construction data, the first reservoir impoundment conditions and instrumental data.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.199
Teacher spread0.187 · 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
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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