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[交流] 2025年巴黎高科 - CSC合作公派读博项目 - 课题No.52

2025年巴黎高科 - CSC合作公派读博项目 - 课题No.52
2025 巴黎高科 - CSC公派博士项目 (12月8日截止)
网申通道:https://paristech.kosmopolead.com/phd
申请攻略:https://paristech.fr/fr/paristech-csc-phd-program-how-apply
课题52详情:

TITLE: STUDY OF THE RESILIENCE OF URBAN ROAD NETWORKS ON CLAY SOILS TO CLIMATE CHANGE USING INTEGRATED MODELLING AND INSTRUMENTATION APPROACHES
Topic number : 2024_052
Field : Environment Science and Technology, Sustainable Development,
Geosciences Subfield:
ParisTech School: Arts et Métiers
Research team : Civil and Environmental Engineering Dept. - GT3 Research team website: https://www.i2m.u-bordeaux.fr/en ... -and-Environmental- Engineering
Research lab: I2M - Institut de Mécanique et d'ingénierie
Lab location: Bordeaux
Lab website: https://www.i2m.u-bordeaux.fr
Contact point for this topic: humberto.yanez-godoy@u-bordeaux.fr
Advisor 1: Humberto YANEZ GODOY - humberto.yanez-godoy@u- bordeaux.fr
Advisor 2:
Advisor 3:
Advisor 4:
Short description of possible research topics for a PhD:
Urban networks, particularly road infrastructures, are essential to the functioning of communities. Their failure can disrupt access to vital services. As these infrastructures age and face increasingly stringent operating conditions, their management has become more complex. Decision-makers are seeking solutions to optimize the use of material and financial resources while maintaining an adequate level of service. Although the interdependence of these networks is clear, our understanding of the physical mechanisms governing their behavior remains limited. Furthermore, the impacts of climate change are exacerbating these challenges, highlighting the need to enhance the
resilience of urban infrastructures to withstand extreme events. This thesis project focuses on analyzing the robustness and resilience of urban road networks built on clay soils, which are particularly vulnerable to climate change. The approach combines laboratory experiments and on- site measurements, with data being incorporated into numerical models at two scales: one representing a specific section of the network, and the other a full urban system. The ultimate goal is to leverage the collected data to develop predictive maintenance strategies, which can be integrated into decision-making processes to optimize the management of road infrastructures in an evolving, climate-sensitive environment.
Required background of the student:
The prerequirements for this project include a basic understanding of geotechnical engineering and familiarity with road infrastructure management. Some experience with numerical modeling and simulation tools (e.g. finite element modelling, machine learning, probabilistic modelling) is helpful, along with an interest in learning predictive maintenance strategies. A general awareness of climate change impacts on infrastructure, as well as an openness to working with decision support systems, will be beneficial. Additionally, skills in data collection, analysis, and an interest in risk management and urban network resilience are important but can be developed during the project.
A list of (5 max.) representative publications of the group: (Related to the research topic)
1. F. Stochino, C. Bedon, J. Sagaseta and D. Honfi (2019). Robustness and Resilience of Structures under Extreme Loads. Advances in Civil Engineering, vol. 2019, 4291703.
2. Yáñez-Godoy H., Elachachi S.M. (2023). Spatial structure characterization of the soil surrounding buried water-transmission mains by using a sensor-enabled geotextile. Journal of Pipeline Systems Engineering and Practice, Vol 14, Issue 3. https://doi.org/10.1061/JPSEA2.PSENG-1409.
3. N. Kumar, V. Poonia, B.B. Gupta and M. Kumar Goyal (2021). A novel framework for risk assessment and resilience of critical infrastructure towards climate change. Technological Forecasting & Social Change, vol. 165, 120532.
4. S.A. Argyroudis, S.A. Mitoulis, E. Chatzi, J. W. Baker, I. Brilakis, K. Gkoumas, M. Vousdoukas, W. Hynes, S. Carluccio, O. Keou, D. M. Frangopol, I. Linkov (2022). Digital technologies can enhance climate

resilience of critical infrastructure. Climate Risk Management, vol. 35, 100387.
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