Fusing damage-sensitive features and domain adaptation towards robust damage classification in real buildings-Reference-Cited by-同舟云学术

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Fusing damage-sensitive features and domain adaptation towards robust damage classification in real buildings

Published:2023-03 Issue: Volume:166 Page:107739
ISSN:0267-7261
Container-title:Soil Dynamics and Earthquake Engineering
language:en
Short-container-title:Soil Dynamics and Earthquake Engineering

Author:

Martakis Panagiotis^ORCID,Reuland Yves,Stavridis Andreas,Chatzi Eleni^ORCID

Funder

Horizon 2020

National Science Foundation

ETH Zurich Risk Center

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference90 articles.

1. Lessons from the post-earthquake evaluation of damaged buildings in Christchurch;Galloway;Earthq Spectra,2014

2. Empirical fragility curves for non-residential buildings from the 2010–2011 canterbury earthquake sequence;Lin;J Earthq Eng,2018

3. Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings;Lagomarsino;Bull Earthq Eng,2006

4. HAZUS earthquake loss estimation methods;Kircher;Nat Hazards Rev,2006

5. Seismic damage accumulation in multiple mainshock–aftershock sequences;Iervolino;Earthq Eng Struct Dyn,2020

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1. Combining transfer learning and numerical modelling to deal with the lack of training data in data-based SHM;Journal of Sound and Vibration;2025-01

2. Structural damage classification under varying environmental conditions and unknown classes via open set domain adaptation;Mechanical Systems and Signal Processing;2024-09

3. Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis;Buildings;2024-08-06

4. Unscented Kalman Filter–Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking;Journal of Structural Engineering;2024-07

5. Fusing physics-based and machine learning models for rapid ground-motion-adaptative probabilistic seismic fragility assessment;Journal of Building Engineering;2024-06

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