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A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions
Every year, earthquakes result in severe economic losses and a significant number of
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …
Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning
After earthquakes, an accurate and efficient seismic-damage prediction is indispensable for
emergency response. Existing methods face the dilemma between accuracy and efficiency …
emergency response. Existing methods face the dilemma between accuracy and efficiency …
Probabilistic identification of simulated damage on the Dowling Hall footbridge through Bayesian finite element model updating
This paper presents a probabilistic damage identification study on a full‐scale structure, the
Dowling Hall footbridge, through a Bayesian finite element (FE) model updating. The …
Dowling Hall footbridge, through a Bayesian finite element (FE) model updating. The …
Embedding prior knowledge into data-driven structural performance prediction to extrapolate from training domains
Abstract Machine learning (ML)–based data-driven approaches have become increasingly
prevalent for predicting structural performance. Because a properly trained ML model can …
prevalent for predicting structural performance. Because a properly trained ML model can …
Seismic vulnerability assessment of existing school buildings
This paper presents a methodology to perform the seismic vulnerability assessment of
existing buildings. It starts with the acquisition of structural data from available construction …
existing buildings. It starts with the acquisition of structural data from available construction …
A novel finite element model updating method based on substructure and response surface model
Combining the substructure finite element model updating method with the response surface
model updating method, one novelty finite element model updating method of bridge …
model updating method, one novelty finite element model updating method of bridge …
Damage identification technique based on mode shape analysis of beam structures
This paper presents a procedure to identify damages in beam structures using a damage
index defined based on the first mode shape of the structure. The proposed damage index is …
index defined based on the first mode shape of the structure. The proposed damage index is …
A new direct method for updating structural models based on measured modal data
A direct method is proposed for updating the mass and stiffness matrices of a structural
model such that it can accurately reproduce the frequencies measured for the structure. To …
model such that it can accurately reproduce the frequencies measured for the structure. To …
A two-step FE model updating approach for system and damage identification of prestressed bridge girders
This study presents a two-step FE model updating approach for health monitoring and
damage identification of prestressed concrete girder bridges. To reduce the effects of …
damage identification of prestressed concrete girder bridges. To reduce the effects of …
BIM and machine learning in seismic damage prediction for non-structural exterior infill walls
Despite the seismic vulnerability of non-structural Exterior Infill Walls (EIWs), their resilient
design has received minimal attention. This study addresses the issue by proposing a novel …
design has received minimal attention. This study addresses the issue by proposing a novel …