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1. Physics-Informed Machine Learning Part I: Different Strategies to Incorporate Physics into Engineering Problems NSTL国家科技图书文献中心

Eleonora Maria Tronc... |  Austin R. J. Downey... -  《Data Science in Engineering,Vol.10》 -  IMAC Conference and Exposition on Structural Dynamics - 2025, - 1~6 - 共6页

摘要:Physics-informed machine learning (PIML) is a methodology that combines principles from physics with machine learning (ML) techniques to enhance the accuracy and interpretability of predictive models....
关键词: Physics-informed |  First-principle |  Machine learning

2. Recursive Bayesian estimation of wind load on a monopile-supported offshore wind turbine using output-only measurements NSTL国家科技图书文献中心

Azin Mehrjoo |  Eleonora M. Tronci... -  《Mechanical Systems & Signal Processing》 - 2025,224(Feb.) - 112183.1~112183.18 - 共18页

摘要:Offshore wind turbine structures experience combined wind and wave loading during their lifetime, and the cyclic characteristics of these loads significantly impact the fatigue life of the support str...
关键词: Bayesian inference |  Digital twins |  Offshore wind turbine |  Input load estimation |  augmented Kalman filter |  Virtual sensing

3. System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements NSTL国家科技图书文献中心

Bridget Moynihan |  Azin Mehrjoo... -  《Renewable energy》 - 2023,219(Dec. Pt.1) - 119430.1~119430.15 - 共15页 - 被引量:5

摘要:Offshore wind energy is playing an increasingly vital role in the clean energy transition around the world, and improved reliability of wind turbine structures is necessary for the long-term success a...
关键词: Offshore wind turbine |  System identification |  Model updating |  Bayesian model updating |  Digital twinning

4. Iterative optimal sensor placement for adaptive structural identification using mobile sensors: Numerical application to a footbridge NSTL国家科技图书文献中心

Burak Bagirgan |  Azin Mehrjoo... -  《Mechanical Systems & Signal Processing》 - 2023,200 - 110556-1~110556-14 - 共14页

摘要:This paper proposes an iterative optimal sensor placement (OSP) framework for structural identification and model updating of structural systems using a small number of mobile sensors. The model updat...
关键词: Optimal sensor placement |  System identification |  Model updating |  Bayesian inference |  Mobile sensors
检索条件作者:Azin Mehrjoo

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