A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Pavement Variability and Reliability Study Using Accelerated Pavement Testing
https://orcid.org/https://orcid.org/0000-0001-7174-7214
https://orcid.org/https://orcid.org/0000-0002-6327-4709
https://orcid.org/https://orcid.org/0000-0002-4256-3034
The probabilistic nature of pavement performance has led to the incorporation of reliability into the pavement design process. Robust and effective pavement reliability analysis methods are required to account for and propagate input variabilities through the design process. This requires an accurate characterization and modeling of input variabilities. This paper evaluates the impact of pavement input variabilities on the design reliability of rutting performance. The evaluation was achieved using inputs and performance data from several accelerated pavement test (APT) structures. The variability of inputs such as layer modulus and thickness was established using measured structural and material properties. The rut depth performance of the studied pavement sections was determined using the ERAPave performance prediction (PP) tool, while the dispersion of the predicted rut depth was achieved through Monte Carlo simulation (MCS). For the reliability evaluation, a two-component reliability analysis methodology that employs first-order reliability method (FORM) was used. The variability study shows that there is a significant difference in input variabilities between APT structures and actual field sections. In the reliability study, FORM is observed to deliver reasonable and acceptable pavement reliability results.
Pavement Variability and Reliability Study Using Accelerated Pavement Testing
https://orcid.org/https://orcid.org/0000-0001-7174-7214
https://orcid.org/https://orcid.org/0000-0002-6327-4709
https://orcid.org/https://orcid.org/0000-0002-4256-3034
The probabilistic nature of pavement performance has led to the incorporation of reliability into the pavement design process. Robust and effective pavement reliability analysis methods are required to account for and propagate input variabilities through the design process. This requires an accurate characterization and modeling of input variabilities. This paper evaluates the impact of pavement input variabilities on the design reliability of rutting performance. The evaluation was achieved using inputs and performance data from several accelerated pavement test (APT) structures. The variability of inputs such as layer modulus and thickness was established using measured structural and material properties. The rut depth performance of the studied pavement sections was determined using the ERAPave performance prediction (PP) tool, while the dispersion of the predicted rut depth was achieved through Monte Carlo simulation (MCS). For the reliability evaluation, a two-component reliability analysis methodology that employs first-order reliability method (FORM) was used. The variability study shows that there is a significant difference in input variabilities between APT structures and actual field sections. In the reliability study, FORM is observed to deliver reasonable and acceptable pavement reliability results.
Pavement Variability and Reliability Study Using Accelerated Pavement Testing
https://orcid.org/https://orcid.org/0000-0001-7174-7214
https://orcid.org/https://orcid.org/0000-0002-6327-4709
https://orcid.org/https://orcid.org/0000-0002-4256-3034
The probabilistic nature of pavement performance has led to the incorporation of reliability into the pavement design process. Robust and effective pavement reliability analysis methods are required to account for and propagate input variabilities through the design process. This requires an accurate characterization and modeling of input variabilities. This paper evaluates the impact of pavement input variabilities on the design reliability of rutting performance. The evaluation was achieved using inputs and performance data from several accelerated pavement test (APT) structures. The variability of inputs such as layer modulus and thickness was established using measured structural and material properties. The rut depth performance of the studied pavement sections was determined using the ERAPave performance prediction (PP) tool, while the dispersion of the predicted rut depth was achieved through Monte Carlo simulation (MCS). For the reliability evaluation, a two-component reliability analysis methodology that employs first-order reliability method (FORM) was used. The variability study shows that there is a significant difference in input variabilities between APT structures and actual field sections. In the reliability study, FORM is observed to deliver reasonable and acceptable pavement reliability results.
Pavement Variability and Reliability Study Using Accelerated Pavement Testing
Carter, Alan (editor) / Vasconcelos, Kamilla (editor) / Dave, Eshan (editor) / Dinegdae, Yared (author) / Ahmed, Abubeker (author) / Erlingsson, Sigurdur (author)
International Symposium on Asphalt Pavement & Environment ; 2024 ; Montreal, QC, Canada
14th International Conference on Asphalt Pavements ISAP2024 Montreal ; Chapter: 37 ; 221-226
2024-12-24
6 pages
Article/Chapter (Book)
Electronic Resource
English
| British Library Conference Proceedings | 2001
Accelerated Pavement Testing at the FHWA Pavement Testing Facility
| British Library Conference Proceedings | 1998