Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
T7.2 (1): AI and machine learning technologies in pavement engineering and performance prediction
Time:
Wednesday, 07/May/2025:
11:15am - 12:55pm

Session Chair: Michael Kaliske
Technical Staff: Isabeau Kokken
Location: Room 2 (Seminarraum)

Find Room 2 (Seminarraum) on the TU Wien Maps!
Name: Seminarraum AA 03 - 1
Address: Karlsplatz 13, 1040 Wien, 3rd floor
Roomcode: AA 03 52

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Presentations
11:15am - 11:35am

Incorporating physics-informed neural networks into yolo for pavement rutting detection

Arya Daneshvar1, Amir Golroo1,2, Mehdi Rasti2

1Amirkabir University of Technology; 2University of Oulu, Finland



11:35am - 11:55am

ML-based performance prediction of geopolymer stabilized pavement

Abhitesh Sachdeva, Ayana Ghosh, Manav Aggarwal, Gondaimei Rongmei Naga Ransinchung, Praveen Kumar

Indian Institute of Technology Roorkee, India



11:55am - 12:15pm

Physics-based modeling of contaminant leaching in road construction materials

Mahdi Masmoudi, Xuyang Li, Vishnu Boddeti, Nizar Lajnef

Michigan State University, United States of America



12:15pm - 12:35pm

Supervised learning for the prediction of bitumen ageing states using the kernel ridge regression model

Khalil Habassi1, Léo Coulon2, Ali Ayadi3, Ahmed Samet2, Cyrille Chazallon2

1ENI Tunis, Tunisie; 2Laboratoire ICube (CNRS, UMR 7357), INSA Strasbourg, France; 3Laboratoire ICube, Université Strasbourg, France



12:35pm - 12:55pm

Exploring physics-informed recurrent neural networks for constitutive modeling of concrete pavements

Hellen Garita Durán, Abhinav Khedkar, Michael Kaliske

Technische Universität Dresden, Germany



 
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