[HTML][HTML] Innovations in earthquake risk reduction for resilience: Recent advances and challenges
Abstract The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights
the importance of scientific research, supporting the 'availability and application of science …
the importance of scientific research, supporting the 'availability and application of science …
A review on structural health monitoring: past to present
The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …
academia and industry, particularly in the realm of damage detection. This approach allows …
Assessment of a monumental masonry bell-tower after 2016 Central Italy seismic sequence by long-term SHM
The response of the San Pietro monumental bell-tower located in Perugia, Italy, to the 2016
Central Italy seismic sequence is investigated, taking advantage of the availability of field …
Central Italy seismic sequence is investigated, taking advantage of the availability of field …
Rapid seismic damage-state assessment of steel moment frames using machine learning
The damage state assessment of buildings after an earthquake is an essential and urgent
task that typically requires significant manpower and time for the resilience of a city-scale …
task that typically requires significant manpower and time for the resilience of a city-scale …
Geometry‐guided semantic segmentation for post‐earthquake buildings using optical remote sensing images
Y Wang, X Jing, Y Xu, L Cui… - … Engineering & Structural …, 2023 - Wiley Online Library
Deep‐learning‐based automatic recognition of post‐earthquake damage for urban
buildings is increasingly in demand for rapid and precise assessment of seismic hazards …
buildings is increasingly in demand for rapid and precise assessment of seismic hazards …
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames
H Luo, SG Paal - Advanced Engineering Informatics, 2022 - Elsevier
Existing physics-based modeling approaches do not have a good compromise between
performance and computational efficiency in predicting the seismic response of reinforced …
performance and computational efficiency in predicting the seismic response of reinforced …
PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning
Automated structural damage diagnosis after earthquakes is important for improving
efficiency of disaster response and city rehabilitation. In conventional data-driven …
efficiency of disaster response and city rehabilitation. In conventional data-driven …
Geometric consistency enhanced deep convolutional encoder-decoder for urban seismic damage assessment by UAV images
Y Wang, X Jing, L Cui, C Zhang, Y Xu, J Yuan… - Engineering …, 2023 - Elsevier
Precise and rapid assessment of seismic damage to buildings is critical for urban regions.
To address this challenge, this study proposes QuakeCityNet (QCNet-MN)-a model with …
To address this challenge, this study proposes QuakeCityNet (QCNet-MN)-a model with …
Ensemble technique to predict post-earthquake damage of buildings integrating tree-based models and tabular neural networks
In this paper, we develop a novel ensemble model for seismic building damage prediction
that leverages machine learning algorithms of two completely different mechanisms, tree …
that leverages machine learning algorithms of two completely different mechanisms, tree …
Post-earthquake rapid assessment method for electrical function of equipment in substations
W Zhu, M Wu, Q Xie, Y Chen - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
To assess the electrical function of equipment in substations after earthquakes, a rapid
assessment method integrating electrical function conversion relation, numerical simulation …
assessment method integrating electrical function conversion relation, numerical simulation …