Infrastructure

Bidirectional LSTM Networks Enable High-Resolution Railway Track Stiffness Monitoring from Drive-By Vibrations

Artificial Intelligence, Civil Engineering, Infrastructure, Mechanical Engineering / Leave a Comment

TU Delft researchers present an LSTM-BiLSTM architecture that combines sleeper-level framing of axle-box acceleration signals with LSTM-based temporal feature extraction and bidirectional processing to deliver accurate, simultaneous estimation of railpad and ballast stiffness at individual sleeper resolution — even under realistic measurement noise. The Critical Need for Accurate Track Stiffness Monitoring Railway track stiffness is […]

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Monitoring Amsterdams Bridges with InSAR

Civil Engineering, Data Science, Engineering, Geomatics, Infrastructure, Journal publication / Leave a Comment

A structured Delft–Amsterdam research collaboration integrates bridge typologies, expected failure mechanisms, and satellite viewing geometry to translate one-dimensional MT-InSAR measurements into practical damage indicators, demonstrating how regional-scale millimetre-level displacement data can support systematic structural evaluation of urban bridge networks. The Urban Bridge Monitoring Dilemma Across Europe and beyond, bridge networks are aging under increasing traffic

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Revolutionizing Immersed Tunnel Monitoring: How Optical Fibers Reveal Seasonal Joint Movements

Civil Engineering, Engineering, Infrastructure, Journal publication / Leave a Comment

Seeing Tunnel Movements in a New Light For the first time, distributed optical fiber sensors (DOFS) have been used to continuously track how every joint along an immersed tunnel moves through the seasons. The results show—clearly and quantitatively—how temperature cycles drive joint opening and closing. For engineers responsible for aging tunnel infrastructure, this is a

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Advancing Road Inspections with Drones and AI

Artificial Intelligence, Civil Engineering, Data Science, Engineering, Infrastructure, Journal publication / Leave a Comment

What if engineers could scan entire road networks from the air and spot damage early, quickly, and safely? With drones and AI working together, pavement inspection is beginning to move from boots on the ground to intelligence in the sky. Here’s how UAV imagery and the YOLOv7 deep learning model support faster, safer, and more

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