Development of preliminary transfer functions for performance predictions in FlexPAVE™

Wang, Yizhuang David; Ghanbari, Amir; Underwood, B. Shane; Kim, Youngsoo Richard

doi:10.1016/j.conbuildmat.2020.121182

Cited by 28 publications

(8 citation statements)

References 7 publications

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“…The program provides the predicted pavement fatigue damage deterioration with time as well as damage contours within the cross-section of HMA layers. The performance prediction results from FlexPAVEä have been validated with field observations in previous studies (28,29).…”

Section: Flexpaveä Pavement Performance Analysis With Seasonalmentioning

confidence: 67%

“…Note that because of the low traffic volume, the computed percentage damage in the cross-section of the asphalt layers was lower than 10% in all cases. In a previous study ( 28 ), the relationship between the amount of cracking on the pavement surface and the percentage damage in the asphalt layer cross-section was established. The relationship or the transfer function showed that when the percentage damage in the cross-section was greater than 12%, the percentage cracking exhibited on the pavement surface increased dramatically as the percentage damage in the cross-section grew.…”

Section: Results and Analysesmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Lightweight Aggregate Interlayers for Air Convection Embankment on Pavement Thermal Profile and Pavement Performance in Alaskan Permafrost Regions

Wang

Zhang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Crushed-rock air convection embankment (ACE) has been used to mitigate pavement distresses caused by climatic extremes in permafrost regions for more than three decades. This study proposes using lightweight aggregates as cost-effective alternative materials to overcome the shortage of desired crushed rocks needed for ACE in interior Alaska. This paper presents an investigation of the performance of six selected pavement structures: an asphalt pavement typical of the northern region of Alaska and five pavements reinforced with different paving interlayers (i.e., silty sand/gravel, crushed rocks, cellular concrete aggregate, foam glass aggregate, and lightweight expanded clay aggregate). Pavement thermal analyses using Temperature Estimate Model for Pavement Structures (TEMPS) program and ANSYS Fluent software were performed to predict heat transfer patterns and thermal performance for each case. Pavement performance analyses using viscoelastic-based FlexPAVE™ and the elastic-based Alaska Flexible Pavement Design (AKFPD) program were conducted to evaluate the long-term performance and structural stability of subgrade soil with different types of interlayers. The results showed that the lightweight aggregate ACEs improved cooling performance more effectively than the crushed-rock ACE. The lightweight aggregate interlayers could maintain desired thermal insulation in summer and enhance the cooling effect in winter. The modeling results identified the high potential of using lightweight aggregates as alternative ACE materials to improve pavement service life and subgrade stability.

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Section: Flexpaveä Pavement Performance Analysis With Seasonalmentioning

confidence: 67%

Section: Results and Analysesmentioning

confidence: 99%

Impacts of Lightweight Aggregate Interlayers for Air Convection Embankment on Pavement Thermal Profile and Pavement Performance in Alaskan Permafrost Regions

Wang

Zhang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…Step 4: Damage analysis with FlexPAVE 2.0. FlexPAVE 2.0 is a pavement response and performance prediction program that is used to predict the effects of materials, climate, and structure on the long-term performance of AC pavements ( 29 ). The program is based on three-dimensional viscoelastic finite element analysis that accounts for moving loads and temperature variations with time and pavement depth to predict the mechanical responses of the pavement.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Structural Performance of Pavements under Extreme Events: Flooding and Heatwave Case Studies

Matini

Gulzar

Underwood

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The recent increase in the frequency of extreme weather events has raised awareness and interest in the need for transportation infrastructure resilience. In this paper, the issue of pavement resilience is discussed with the goal of refining the idea for its use in pavement design. It is argued that one critical knowledge gap to advancing the state of the art in this area is distinguishing between functional and structural resiliency. The arguments here are framed using floods and heatwaves to demonstrate the importance of structural resilience. Under extreme event disruptions, structural damage is inevitable. The case study simulations in this paper suggest, depending on the pavement structure, intensity, and frequency of flooding events over the analysis period, that pavement rutting performance can decrease by 15.5% in the case of a structure with sand subgrade and 18.8% in the case of a structure with clay subgrade. In the case of heatwaves, the increase in rutting was found to be 2.9% in a structure with sand subgrade. To move toward more resilient pavement infrastructure, it is important to continuously monitor pavements after extreme events, develop methodologies to predict their performance, incorporate the findings in the current pavement management systems, and adapt design and management strategies accordingly. Future design and management of pavement systems should consider both structural and functional resiliency. This study shows that pavement performance simulations predict a long-term decrease in structural performance as a result of extreme events.

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“…As diferenças essenciais com relação ao CAP3D-D e o LVECD constam na Tabela 1. Recentemente foi proposta uma FT para o FlexPave (Wang et al, 2020).…”

Section: Funções De Transferênciaunclassified

Influência da temperatura e da velocidade de trafego na previsão de área trincada de pavimentos as-fálticos

2020

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O Brasil passa por um importante momento na área da pavimentação asfáltica com a proposição de atualização do método de dimensionamento. Neste trabalho é investigada a importância das variáveis de temperatura e velocidade de tráfego na previsão de área trincada do revestimento asfáltico (%AT) no tempo por meio do programa CAP3D-D. Por meio de rotinas de análise mecanicistas aliadas a funções empíricas de previsão, foi investigado o desempenho de 4 misturas em 16 cenários diferentes, considerando a mesma estrutura de pavimento. Os resultados confirmam significativa sensibilidade de respostas de %AT, com variações de 6 a 40% ao fim de 120 meses em simulação entre temperaturas da Região Nordeste e Sul do Brasil, respectivamente, e de variações de até 33% para comparações entre 10 km/h e 90 km/h. Mostra-se que além dos diferentes resultados de trincamento, as misturas apresentaram diferentes níveis de sensibilidade às variações de clima e velocidade, evidenciando a importância de se considerar estes parâmetros nas previsões de %AT.

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Development of preliminary transfer functions for performance predictions in FlexPAVE™

Cited by 28 publications

References 7 publications

Impacts of Lightweight Aggregate Interlayers for Air Convection Embankment on Pavement Thermal Profile and Pavement Performance in Alaskan Permafrost Regions

Impacts of Lightweight Aggregate Interlayers for Air Convection Embankment on Pavement Thermal Profile and Pavement Performance in Alaskan Permafrost Regions

Evaluation of Structural Performance of Pavements under Extreme Events: Flooding and Heatwave Case Studies

Influência da temperatura e da velocidade de trafego na previsão de área trincada de pavimentos as-fálticos

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