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Record W3008450275

DACS Report 06: Requirements and recommendations for frost durable concrete. Test methods. Overview of national and international standards, codes, committees, representative projects.

2019· article· en· W3008450275 on OpenAlexaboutno aff
Andrei Shpak, Stefan Jacobsen

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2019
Typearticle
Languageen
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Frost (temperature)EngineeringForensic engineeringBusinessGeographyMeteorologyGeology
DOInot available

Abstract

fetched live from OpenAlex

The report gives an overview of requirements and recommendations to frost durable concrete in standards and specifications, available to the author from a limited selection of standardization and engineering organizations in Europe, Russia and North America, and partly China. In order to compare requirements and recommendations from different documents we have decided to divide them into Load, Resistance, Execution, Tests and Acceptance Criteria. Each criteria is organized in detailed tables for the best possible comparison. The results provide an overview for how the frost durability is perceived in standards and regulatory documents in different parts of the world. The results show a great variability in the definition of freeze-thaw resistance Most of the countries limit requirements to the mass-ratio, binder type and content, and the total air content in fresh or hardened concrete. Some set requirements to the air-void system and air content in hardened concrete, while others use requirements based on freeze-thaw tests optionally combined with permeability-related tests and remaining compressive strength. Requirements and recommendations from different international projects show that the industry normally uses the most stringent freeze-thaw test methods (scaling with 3% salt solution, internal cracking with rapid freeze-thaw cycles in water) to meet Clients’ requirements. Yet it is not clear how these types of test methods correlate with real exposure in actual structures. The differences could lie in mismatch between, for example, age of concrete before the test and age of the structure, exposure to salt and water during freeze-thaw cycles of specimen in the test and of real structure, test surface (sawn or formed) and finished surface for actual covering of a roadway, or sidewalk, or formed surface or similar. There is a valuable exposure station project in Sweden, which has provided with a relatively well-correlated data comparison between the European salt-scaling test and frost damage after exposure of samples along salted motorway1. However, based on Canadian experience (Thomas2), the results from North-American salt-frost scaling test and performance of the same concretes at field did not correlate, especially for concrete with high volume of fly ash. In addition to the abovementioned differences between the test and exposed structure, scaling in salt-frost testing has shown to be sensitive to curing, pre-conditioning and ageing before testing. Compared to OPC concrete, carbonation can cause increased scaling for concrete with high content of slag, whilst concrete with fly ash requires longer curing period in order to perform as good as OPC concrete. All in all, most standards are not updated with recent research results, do not account for the steady development of concrete materials (especially towards SCM) and technologies, machinery, construction, and testing techniques.

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)0.033
metaresearch head score (Gemma)0.035
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.035
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.006
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0060.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0250.049

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 head0.110
GPT teacher head0.395
Teacher spread0.286 · 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
GenreMethods

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
Published2019
Admission routes1
Has abstractyes

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Same venueDuo Research Archive (University of Oslo)Same topicInnovations in Concrete and Construction MaterialsFrench-language works237,207