Disaster risk modeling and assessment towards enhanced infrastructure resilience under extreme events

• Main Author: Wang, Ying
• Other Authors: Zhao Ou
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Disaster risk; Resilience modeling; Deep learning
• Online Access: https://hdl.handle.net/10356/175523
• Institution: Nanyang Technological University

High-impact, low-frequency (HILF) events such as tsunamis, floods, and earthquakes cause inevitable damages to the built environments. Those extreme events are hard to predict as they depend on a complex mixture of variables. Alternative efforts to control disaster risk have been paid to rapid asses...