Paulina Leiva-Padilla
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Assistant professor
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About
Paulina Leiva-Padilla is an Assistant Professor at ESTP - Grande école d’ingénieurs de la construction in France. Her research focuses on pavement engineering, particularly the monitoring and performance of pavements under varying traffic conditions. Recent articles explore topics such as the use of distributed fiber optic sensors for pavement testing, the effects of truck platooning on asphalt structure, and the thermal characterization of electroconductive materials for road applications.
Recent Grants
Grant: Close
ENSEMBLE
Open Date: 2020-12-01
Close Date: 2022-02-01
Grant: Close
SMARTI European Training Network
Open Date: 2017-10-01
Close Date: 2020-10-01
Articles (10)
Year:
2025
The need to develop more efficient pavement management systems has driven continuous improvement in structural health monitoring (SHM) systems for road infrastructures. Factors such as low energy consumption, minimal disruption (small-sized and lightweight devices), resistance to environmental conditions, high durability, and sensitivity are some of the possible improvements worthy of exploration. Fiber optics appear to have several of these desired characteristics. In this context, this article presents strain measurements performed using fiber optic cables installed at various levels in pavement structures tested on the accelerated pavement testing facility at the Université Gustave Eiffel (or fatigue carousel). The results reveal that strains measured with this technology closely align with those obtained using traditional strain gauges. However, an advantage of fiber optics is that they enable distributed measurements over long distances with high precision (10 m with a measurement interval of 2.6 mm in this study). These measurements highlight a significant variability in pavement strains, seemingly attributable to the heterogeneity of pavement materials and variations in layer thicknesses. As a result of these findings, laboratory-scale investigations have been initiated to gain a better understanding of these sources of variability.
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2024
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2024
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2023
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2022
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2022
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2022
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2020
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2020
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2020
Collaborators (3)
Pierre Hornych
Université Gustave Eiffel
Mª Carmen Rubio Gámez
Professor
Universidad de Granada
Emmanuel Chailleux
Université Gustave Eiffel
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