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Record W7011390873

Lightweight Cellular Concrete as Flexible Pavement Subbase Material: Field Performance and Sustainability Study

2022· dissertation· en· W7011390873 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsSubbaseSustainabilityField (mathematics)Section (typography)Production (economics)Pavement engineeringControl (management)
DOInot available

Abstract

fetched live from OpenAlex

Enhancing the long-term performance of road infrastructure is an important goal for engineers in Canada, especially with changing climatic conditions. This has brought about varying approaches in design and construction techniques with alternative materials. Some factors considered in selecting these materials include advantages in terms of sustainability, lower costs, ease of construction, and increased structural capacity. Lightweight Cellular Concrete (LCC) is one such material that could be a viable option in Canada, where the pavement structure is subject to the freeze-thaw effect yielding weaker subgrades. Previous research acknowledges that as a subbase material, it could yield promising results as it has shown good freeze-thaw resistance, ease of placement as it is semi-liquid, and potential sustainability benefits such as the reduction in the use of virgin materials through the usage of industrial by-products, less pollution, and lower lifecycle costs. However, there is a need to quantify these benefits and develop unified standards and specifications for using this material in the pavement structure in Canada. 
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\nThis study evaluated three densities of LCC with two production methods (wet and dry mix) in terms of constructability, field performance, and sustainability. This involved pre and post-construction monitoring of test and Control sections to evaluate the performance of the LCC layer. Two test sections were built in Waterloo, Ontario. One of the trial roads (Erbsville) incorporated 250 mm and 350 mm of 475 kg/m³ LCC as subbase material and compared it with a Control constituting of 450 mm granular B subbase. The second test section (Notre Dame Drive) employed 200 mm LCC with densities of 400, 475, and 600 kg/m³ compared with a 150 mm granular A subbase. 
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\nConstructability evaluation involved field testing, onsite, and instrumentation monitoring during construction. Field performance tracking was achieved across varying climatic conditions using pre-installed instrumentation to monitor stress and strain responses, layer temperature, moisture, and LCC maturity. Precipitation and ambient temperature conditions were monitored using a weather station at both field test locations. Also, pavement material properties from the field sections were tested at the CPATT laboratory. The tests performed included dynamic modulus for the asphalt concrete, unconfined compressive strength, modulus of elasticity and Poisson’s ratio, and water absorption tests for LCC, California Bearing Ratio (CBR) test for the pavement unbound layers.
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\nFurthermore, stiffness and structural capacity were evaluated using the Falling Weight Deflectometer (FWD) and Lightweight deflectometer. Roughness assessment was done with SurPro and Dipstick equipment. Regular visual inspections were conducted to capture distresses on the pavement sections. Finally, Lifecycle Assessment (LCA) and Lifecycle Cost Analysis (LCCA) were performed to quantify economic and environmental outcomes compared with current industry standards.
\nThe results revealed that applying a Lightweight Cellular Concrete subbase within the pavement structure is a feasible alternative to traditional subbase material, especially when subgrade insulation is required and weak subgrades are encountered. It showed that excessive vehicles and trucks over the LCC pavement sections before asphalt paving could be detrimental to LCC pavement performance by inducing higher stresses and strains. Lightweight Cellular Concrete with densities between 400 and 600 kg/m³ has excellent insulation properties within the pavement structure. It can reduce subgrade pressure due to traffic by up to three times compared to unbound granular material and strain responses by four times. These attributes were seen to increase with an increase in density. Layer temperature and moisture were influenced by ambient temperature and precipitation events and, in turn, influenced pavement stress and strain responses. A structural coefficient of 0.22 was determined for 475 kg/m³ and proposed as a benchmark for designing LCC pavements with a density between 400 and 600 kg/m³.
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\nLifecycle assessment results showed that LCC pavements could lower environmental costs by reducing total life CO2 emissions by up to 16% while significantly reducing the environmental impact of SO2, CO, NOx, PM10, and total PM compared to unbound granular pavements. Environmental impact was seen to increase with an increase in LCC density. Total life costs of the LCC sections were 10% to 13% more than pavement sections with granular A and 4% to 6% more than granular B pavements. However, when only the initial construction and maintenance phase were considered, the LCC sections were 3% to 6% less expensive than the granular A pavement and 9% to 12% less than the granular B pavement. The 400 and 475 kg/m³ LCC pavements had comparable costs. 
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\nThis study provided an understanding of the pavement behavior of lightweight cellular concrete subbase and developed pavement layer temperature regression models for LCC and unbound granular subbase pavements with very good predictability. It presents a way to assess LCC pavements' environmental and economic impacts and recommends design, construction specifications, and guidelines for using lightweight cellular concrete subbase within flexible pavements.

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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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
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)0.0030.000

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 head0.210
Teacher spread0.203 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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