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Record W2965243070 · doi:10.11159/htff19.115

Numerical Modeling of Heat and Water Transport with Heat Exchange in Unsaturated-Saturated Porous Media Including Heat Influence on Flow

2019· article· en· W2965243070 on OpenAlexvenueno aff
Jozef Kačur, Patrik Mihala

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsnot available
FundersAgentúra na Podporu Výskumu a Vývoja
KeywordsPorous mediumMaterials scienceHeat exchangerFlow (mathematics)Heat flowMechanicsThermodynamicsPorosityComposite materialThermalPhysics

Abstract

fetched live from OpenAlex

We discuss the numerical modelling of heat transport with contaminated water into unsaturated-saturated porous media. We focus on the determination of a heat exchange with the matrix of the porous media and adsorption of a contaminant. Numerical modelling includes the influence of temperature and adsorbed contaminant on hydraulic permeability. We also discuss the water volume extension due to the temperature change. This is motivated by hydrothermal isolation properties of building facades under the influence of external weather conditions. Also, contaminant dissolved in the water could be interpreted, e.g., as the salt which can degrade the quality of concrete and other building elements. Dependence of hydraulic permeability on the temperature, concentration of a contaminant, amount of adsorbed contaminant and saturation is discussed on the base of van Genuchten empirical law for unsaturated porous media. An efficient numerical approximation is proposed by means of which we solve the direct and inverse problems of the complex model. The determination of the model parameters we solve by inverse methods. In our numerical experiments, we show the significant sensitivity of hydraulic permeability on temperature and adsorption and the weak sensitivity on water extensions in the physically relevant temperature change. For the solution of inverse problems in laboratory experiments, we suggest the 3D sample in a cylindrical form which enables many experimental scenarios created by suitable boundary conditions.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicHeat and Mass Transfer in Porous MediaFrench-language works237,207