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Universiteit Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management , Deltares , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Remote Sensing (GRS) , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Engineering, Geo-engineering , Universiteit Twente, Faculty of Engineering Technology (ET), Department of Civil Engineering & Management (CEM) , Technische Universiteit Delft , Deltares , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Engineering , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen , Rotterdam University of Applied Sciences , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Hydraulic Engineering, Coastal Engineering , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Engineering Structures , Universiteit Twente , Technische Universiteit Delft
(Public) asset-owners currently struggle to assess the condition of their bridges and quay walls, often long passed their (technical) end of service-life, and to decide on measures needed. There is an urgent need for reliable and transparent knowledge and decision-support tools on maintenance prioritisation and lifetime-extension. LiveQuay provides an integrated assessment of the safety and performance of bridges and quay walls in a decision support platform that is interactive and based on values from stakeholders. Our evolving, probabilistic physics-informed machine-learning system will indicate more accurately and faster than currently, whether structures are still safe to operate or approaching failure.
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