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A weakly-compressible SPH-porous media model to simulate wave–breakwater interactions

2025· article· en· W4411953773 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCoastal Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsUniversity of OttawaNational Research Council Canada
FundersInfrastructure CanadaNational Research Council CanadaNational Research Council
KeywordsBreakwaterCompressibilityPorous mediumMechanicsPorosityCompressible flowGeotechnical engineeringGeologyMaterials sciencePhysics

Abstract

fetched live from OpenAlex

This study introduces a weakly-compressible Smoothed Particle Hydrodynamics (SPH) model for accurately simulating free-surface flows and wave interactions with permeable breakwaters. Using mixture theory and the intrinsic phase-averaging method, we integrate the porous media constitutive law into the fluid flow solver, allowing SPH particles to dynamically adjust their volume based on local porosity variations. To enhance numerical stability, we introduce a modified dynamic particle collision regularization technique and employ an artificial density diffusive term that accounts for variable-volume particle interactions. We validate the developed SPH-porous media formulation against theoretical predictions and experimental benchmarks, demonstrating its capability to capture long-term wave propagation over permeable structures. Results confirm that our SPH model effectively handles particle interactions with varying volumes at the porous medium interface, mitigating particle clustering issues. This work provides a robust and high-performance SPH tool for investigating wave dynamics in coastal engineering applications, including the design of permeable breakwaters and revetments.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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