Dr. N. (Nan) Yue
Dr. N. (Nan) Yue
Ruimte: 62.NB 0.41
Nan Yue is an Assistant Professor in Structural Health Monitoring. She dedicates her research to bridging the knowledge and information gaps in design, manufacturing, in-service degradation and life management of lightweight high-performance structures, using continuous health information gathered by integrated intelligent systems. She obtained her PhD in February 2020 and worked as a Research Associate at Imperial College London. She joined TU Delft as a Postdoc researcher in December 2020. In June 2022, she was awarded the Delft Technology Fellowship and started as an Assistant Professor at the Department of Aerospace Structures and Materials.
H2020 ReMAP: Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning Website: h2020-remap.eu ReMAP will contribute to reinforce the European leadership in aeronautics by developing an open-source solution for aircraft maintenance, the Integrated Fleet Health Management (IFHM) system. By replacing fixed-interval inspections with adaptive condition-based interventions, ReMAP will have an estimated benefit to the European aviation of more than 700 million Euros per year. This is due to a direct decrease in maintenance costs, reduced unscheduled aircraft maintenance events, and increased aircraft availability.
Yue, Nan, et al. "Assessing stiffness degradation of stiffened composite panels in post-buckling compression-compression fatigue using guided waves." Composite Structures (2022): 115751.
Yue, Nan, Zahra Sharif Khodaei, and M. H. Aliabadi. "Damage detection in large composite stiffened panels based on a novel SHM building block philosophy." Smart Materials and Structures 30.4 (2021): 045004.
Yue, Nan, and M. H. Aliabadi. "Hierarchical approach for uncertainty quantification and reliability assessment of guided wave-based structural health monitoring." Structural Health Monitoring (2020): 1475921720940642.
Yue, Nan, and M. H. Aliabadi. "A scalable data-driven approach to temperature baseline reconstruction for guided wave structural health monitoring of anisotropic carbon-fibre-reinforced polymer structures." Structural Health Monitoring 19.5 (2020): 1487-1506.
A Model-Assisted Probability of Detection Framework for Optical Fiber Sensors
F. Falcetelli / N. Yue / Leonardo Rossi / Gabriele Bolognini / Filippo Bastianini / D. Zarouchas / Raffaella Di Sante
A data driven methodology for upscaling remaining useful life predictions
From single- to multi-stiffened composite panels
Georgios Galanopoulos / Efthimios Fytsilis / Nan Yue / Agnes Broer / Dimitrios Milanoski / Dimitrios Zarouchas / Theodoros Loutas
Hierarchical Upscaling of Data-Driven Damage Diagnostics for Stiffened Composite Aircraft Structures
Agnes Broer / Nan Yue / Georgios Galanopoulos / Rinze Benedictus / Theodoros Loutas / Dimitrios Zarouchas
Mechanics Informed Approach to Online Prognosis of Composite Airframe Element
Stiffness Monitoring with SHM Data and Data-Driven RUL Prediction
Nan Yue / Georgios Galanopoulos / Theodoros Loutas / Dimitrios Zarouchas
Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors
Francesco Falcetelli / Demetrio Cristiani / Nan Yue / Claudio Sbarufatti / Raffaella Di Sante / Dimitrios Zarouchas
How to make composite airliners even lighter
Verscheen in: AirInsight
Kennisbank voor voorspellend onderhoud aan vliegtuigen
Verscheen in: De Ingenieur
Kennisbank TU Delft voorspelt conditie vliegtuigconstructie
Verscheen in: Made-In-Europe
L&R presenteert materiaalonderzoek: buigen tot ie barst
Verscheen in: Delta
2022-11-17 - 2023-11-17