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Record W2886546468

Precast Concrete Inlay Panels: Rehabilitation Strategy for High-Volume Highways in Ontario

2018· dissertation· en· W2886546468 on OpenAlexfundaboutno aff
Daniel Pickel

Bibliographic record

VenueUWSpace (University of Waterloo) · 2018
Typedissertation
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMinistère des TransportsCement Association of Canada
KeywordsPrecast concreteInlayEngineeringVolume (thermodynamics)Civil engineeringStructural engineeringForensic engineeringGeotechnical engineeringMaterials scienceComposite material
DOInot available

Abstract

fetched live from OpenAlex

The Ministry of Transportation of Ontario (MTO) has responsibility for many high-volume highways throughout the province of Ontario, including the 400-series highways. Several of these highways have exhibited a premature rutting failure three to seven years after the placement of new hot-mix asphalt (HMA) in the pavement surface layers. This failure indicates the presence of deep-seated pavement issues that are likely located in the base layers or subgrade beneath the HMA pavement layers. To address these deep-seated issues directly, a full-depth pavement rehabilitation is required wherein the pavement structure is fully removed to the depth of the problematic layer. This type of rehabilitation is time-consuming, particularly when these issues extend for substantial lengths of the given highway.
\nThe time-consuming nature of full-depth pavement rehabilitation precludes it from use on the 400-series highways due to the MTO’s practice of limiting construction windows to the time between 10 pm and 6 am. Outside of this time, traffic must be reinstated to full capacity in all lanes. For this reason, the deep-seated rutting issues have been consistently addressed with mill and overlay procedures, wherein the upper 40 mm or 80 mm of HMA is milled from the pavement and replaced with an equivalent thickness, which then exhibits the same failure after another three to seven years. 
\nIn order to address this issue for a longer term, the MTO was interested in the development of a new rehabilitation technique using precast concrete panels inlayed into the HMA pavement structure. The design of a trial section to evaluate the precast concrete inlay panels (PCIP) was developed in conjunction with the MTO, the Fort Miller Company, the Cement Association of Canada, and Golder Associates. The PCIP design was based off typical precast concrete pavements but was modified to address the unique conditions of inlay within HMA pavement. The trial was 100 m in length and was comprised of 22 panels.
\nThe support conditions beneath precast concrete pavements have been found to be a significant factor in determining their performance. For this reason, three support conditions were designed, each with different costs and benefits in terms of overall constructability; the support conditions were Asphalt-supported (AS), Grade-supported (GraS), and Grout-supported (GroS). 
\nThe construction of the trial section took place between September 19th and September 23rd, 2016, with the installation of each support condition taking place on a separate night. Dufferin Construction was the head contractor who undertook the construction. The timing of the individual construction activities and any issues that arose were monitored throughout the course of the construction.
\nFollowing construction, an analytical hierarchy process was used to analyze the three support conditions in term of their relative constructability. The analysis was performed with input from both Dufferin Construction and the MTO. It was found that the GroS panels were the most ideal choice in terms of construction, based on the criteria that were used in the analysis.
\nData from instrumentation that was installed beneath the PCIP trial during construction indicate that moisture penetrated beneath the panels shortly after the completion of construction, indicating that the joints should be improved and that a drainage detail is required. The instrumentation also indicated a higher load concentration beneath the joints of a loaded panel in relation to the mid-panel location. 
\nVarious surface analyses were undertaken during highway closures, including visual analyses, surface texture scanning, and roughness and friction measurement. The three support conditions were found to behave similarly for all tests except surface roughness, in which the GroS section was found to be significantly less rough than the other two support conditions. This was due to the high degree of control over panel elevation differences in this design.
\nA life cycle cost analysis was undertaken to compare the PCIP strategy to the mill and overlay strategy that had been used in the past. It was found that the PCIP strategy generally has a higher life cycle cost because of its high initial costs, and the present worth cost difference between the two strategies was sensitive to factors that affected the initial cost, such as the panel unit cost and the installation rate. The analysis was based on several cost and maintenance assumptions that will be further clarified as the service life of the PCIP rehabilitation is better defined.
\nFinally, several design improvements suggestions were made based on the performance and construction of the PCIP trial. These include increased strength specifications, advanced milling control, improved HMA edge protection, joint material design, drainage details, and diamond grinding following the complete installation of the PCIP rehabilitation.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
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 communication0.0000.001
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 head0.017
GPT teacher head0.210
Teacher spread0.193 · 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 designQualitative
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

Citations4
Published2018
Admission routes2
Has abstractyes

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