Page 8: Research news on AI-enabled digital twins

AI-enabled digital twins combine high-fidelity virtual replicas of physical assets with machine learning and sensing technologies to monitor condition, predict failures, and support operational decision-making. Applications span bridges, railways, nuclear reactors, wind turbines, manufacturing equipment, and urban infrastructure, integrating structural health monitoring, non-destructive evaluation, and high-resolution imaging. Data-driven models enable real-time fault diagnosis, risk-informed maintenance, and optimization of performance, often incorporating robotics, remote sensing, and time-series domain adaptation for robust, continuous infrastructure management.

Engineering

An integrated data model for next-generation bridge maintenance

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise with vast amounts of digital data in maintenance operations. This is especially the case for bridges ...

Hi Tech & Innovation

X-ray vision dives deep to boost safety, inspection and response

X-ray imaging is useful for seeing inside objects without causing damage, but until now it was not practical for use underwater. Oak Ridge National Laboratory researchers have developed the first X-ray imaging system that ...

Electronics & Semiconductors

Combating climate change with better semiconductor manufacturing

The average global temperature has risen by 1.5 C since the pre-industrial era due to climate change, and it is poised to continue increasing. In response, the Intergovernmental Panel on Climate Change has developed the Global ...

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