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Record W2500943599

Compilation of 5 papers on (1) Electrical resistivity as a durability indicator and (2) Cracking tendency in hardening concrete

2007· article· en· W2500943599 on OpenAlexaboutno aff
Claus K. Larsen, Jan-Magnus Østvik, Øyvind Bjøntegaard

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2007
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
FundersStatens vegvesenNorges Forskningsråd
KeywordsDurabilityCrackingHardening (computing)Electrical resistivity and conductivityForensic engineeringMaterials scienceComposite materialEngineering
DOInot available

Abstract

fetched live from OpenAlex

The report contains 5 papers that were presented at the 2nd Int. symposium on Advances in Concrete through Science and Engineering 11-13 Sept. 2006, Quebec City, Canada (printed in the symposium proceedings RILEM PRO 51, ISBN 2-35158-003-06, Ed. by J.Marchand and B.Bissonnette). The first three papers deal with electrical resistivity as a durability parameter for concrete, while the two last papers deal with cracking tendency of hardening concrete. Electrical resistivity (Paper 1-3): The parameter is very important as a durability indicator since high resistivity is beneficial as it means slow corrosion. Electrical resistivity (ER) has been studied with regard to electrical frequency range, concrete degree of saturation (DS), -temperature, -aging effect and -composition. The total investigation include lab. tests on lab.- made specimens and on field cores, as well as field measurements on long term sea exposed concrete elements using both automatic and manual monitoring systems. The ER (lab.and field tests) of water and atmospherically stored high performance concretes (HPC) increased clearly over time (years) due to aging effects, while sea water exposure (field cores) did not display any clear increase. In the latter condition the positive aging effect is believed to be counteracted by the intrusion of chlorides (more ions - lower ER). For water stored HPC even a small decrease in DS clearly increased the ER (indicating early discontinuity of the capillary water), while for traditional bridge concrete with higher w/b the resistivity was not so affected by DS. In the field measurements, over years, on sea exposed elements a beneficial aging effect was seen. The ER increases, not surprisingly, with concrete quality (especially for w/b-ratios below around 0.40); in the field tests this was particularly the case after longer times. Very high ER values were found for the concretes with fly-ash (both lab. and field), especially at longer times.\n\nCracking tendency in hardening concrete (Paper 4-5): Thermal (TD)- and autogenous (AD) deformations are the primary causes of self-induced stresses in hardening concrete structures subjected to restraint conditions. Much attention has been paid to AD during the last 10-15 years. This is seen, for instance, as the many conferences devoted exclusively to ADaspects. In general, except for super HPC (w/b-ratios below 0.3), it appears that TD is greater than AD and it is therefore surprising that little attention has been paid to the coefficient of thermal expansion (CTE) in recent literature. Paper 4 presents an experimental strategy on how to separate TD and AD in tests and discusses the mechanisms behind the strong moisture dependence of the CTE. Paper 5 shows experimental results from a study on the effect of fly-ash (FA) on crack sensitivity. The given test series shows a beneficial effect of FA when an efficiency factor (k) of 1.0 is used for FA in the effective w/b-ratio calculation. The standards prescribes k=0.4 for FA added during mixing and k=1.0 when FA is part of a certified cement. The paper discusses this issue.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.266
Teacher spread0.244 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2007
Admission routes1
Has abstractyes

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