National Cheng Kung University (NCKU), Tainan, Taiwan
Due to increasing impact of climate change and the growing frequency of extreme natural disasters, enhancing the resilience of infrastructure has become a global concern. Digital twin technology, as an advanced simulation approach, offers significantly potential to improve the monitoring, prediction, and response capabilities of infrastructure systems. The goal of this conference is to explore the applications of digital twin technology in disaster prevention and infrastructure management, aiming to promote technological development and international collaboration through academic exchange.
Sponsors
Taiwan Ministry of Education Yushan Fellow Project
Taiwan Ministry of Education University Social Responsibility (USR) Project
National Cheng Kung University (NCKU)
NCKU, College of Engineering, Infrastructure Digital Twin Research Center
NCKU, Department of Civil Engineering, Artificial Intelligence Technology Research Center
Association of Computational Mechanics Taiwan (ACMT)
TOPICS
Multi-scale multi-physics modeling
Uncertainty quantification
Computational fracture and damage mechanics
Novel methods for modeling extreme events
Reduced order modeling
Machine learning enhanced engineering computing
Digital twins and high-performance computing
Model calibration, verification and validation
Structural asset life cycle assessment
Decision analytics
Novel sensing methodologies
Structural health monitoring
Computer vision
Assistive devices and robotic systems
Remote sensing
Augmented, virtual, and mixed reality systems
Advanced repair and retrofitting technologies for damaged infrastructures
Durable and sustainable concrete infrastructures
Development of high-performance fiber reinforced concrete
Advanced manufacturing for damage mitigation and retrofitting
Advanced cement-based materials and earthquake-resistant RC structures