RESEARCH
Probabilistic Digital Twin for Reliability-based Maintenance Optimization of Offshore Wind Turbines
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Zhang, X., & Noshadravan, A. (2023). Efficient Lifecycle Reliability Assessment of Offshore Wind Turbines using Digital Twin. In proceeding of Structural Health Monitoring 2023, Designing SHM for Sustainability, Maintainability, and Reliability.
Probabilistic Crowd-AI framework for Post-Disaster Damage Assessment
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Cheng, C. S., Khajwal, A. B., Behzadan, A. H., & Noshadravan, A. (2023). A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. Journal of Engineering Mechanics, 149(9), 04023059.
Probabilistic Hurricane-induced Vulnerability and Risk Prediction at a Regional Scale
Uncertainty-Informed Crowdsourcing for Disaster Damage Assessment
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AI-Assisted Post-disaster Damage Assessment
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Published papers:
Published data:
Kajwal, A. B., Tomotaki L., Cheng, C.- S. & Noshadravan, A. (2022). MV-HarveyNET: A labeled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN. DesignSafe-CI. DOI: https://10.17603/ds2-wzac-h261
Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (2021). DoriaNET: A Visual Dataset from Hurricane Dorian for Post-disaster Building Damage Assessment. DesignSafe-CI. DOI: https://doi.org/10.17603/ds2-gqvg-qx37
Reliability Assessment & Lifecycle Optimization of Deteriorating Systems
Stochastic and multiscale poro-mechanical modeling of shale rocks
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Stochastic Realization and Upscaling of Materials with Random Microstructures
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Lifecycle Assessment for Sustainable Materials and Infrastructures
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