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Record W7115733210 · doi:10.71846/18-wcee-0978

ENHANSING EARTH DAM SEISMIC PERFORMANCE ASSESSMENT WITH ENERGY-BASED APPROACH

2025· article· en· W7115733210 on OpenAlexaboutno aff

Bibliographic record

VenueWorld Conference of Earthquake Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsPore water pressureFinite element methodNonlinear systemLateral earth pressureEffective stressDeformation (meteorology)Constitutive equationReliability (semiconductor)Earth (classical element)

Abstract

fetched live from OpenAlex

Accurately assessing the seismic performance of earth dams is crucial for ensuring their safety and cost-effective design. Various methods exist for evaluating the behavior of these structures during earthquakes, ranging from simpler force-based pseudo-static methods to more complex numerical analyses using finite element method (FEM) or finite difference method (FDM). However, the applicability and reliability of these methods depend on factors such as site seismicity, geotechnical characteristics, and material geometry, which influence the development of excess pore water pressure and deformation patterns during seismic loading. Over the years, geotechnical engineering has witnessed the development of several total and effective stress constitutive models to evaluate the nonlinear dynamic response of soil materials in earth dams under seismic conditions. One of the most recent approaches is the coupled energy-based method, which aims to accurately predict earthquake-induced pore water pressure in the constituent materials of earth dams under various physical conditions. This article presents a step-by-step procedure for evaluating the dynamic performance of earth dams using simplified deformation approaches, highlighting their limitations and precision levels. Subsequently, a novel numerical coupled energy-based approach is introduced for assessing the dynamic response of an earth dam subjected to seismic loads. The simulated earth dam in this study comprises different homogeneous layers with varying compactness and density. To model each constituent material, the energy-based model is combined with the Sigmoidal model in FLAC 2D software, resulting in a novel coupled energy-based pore pressure model. The proposed models were calibrated and verified based on a series of tests conducted on representative materials from the dam at the Université de Sherbrooke, considering shear stress-strain response and excess pore pressure. Overall, this research contributes to advancing the understanding of seismic performance evaluation for soil materials in earth dams by transitioning from conventional approaches to novel energy-based 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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.011
GPT teacher head0.188
Teacher spread0.177 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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