Carlos Ramonell
Papers
1
Total Citations
6
H-Index
1
About
Carlos Ramonell is a civil engineer and researcher whose work sits at the intersection of structural health monitoring, digital twins, and automated data processing for infrastructure. His primary contributions focus on developing scalable, sensor-driven methodologies to assess the performance of critical transport assets, with a particular emphasis on railway bridges. In his most-cited work, "Towards Automated Pipelines for Processing Load Test Data on a HS Railway Bridge in Spain using a Digital Twin" (2022), Ramonell demonstrates how to integrate real-time sensor data with digital twin models to streamline load-test analysis—a key step toward more resilient and maintenance-efficient infrastructure. This paper, presented at the ISARC 2022 conference in Bogotá, Colombia, on behalf of the EU-funded ASHVIN project, has already garnered 6 citations, signaling growing interest in his practical, automation-focused approach. By bridging the gap between raw field measurements and actionable structural insights, Ramonell is helping to define next-generation practices for bridge management. His work is especially relevant for researchers and practitioners seeking to reduce manual intervention in structural assessment while improving accuracy and repeatability.
Research Focus
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Top Papers
- 1