Dr. N. (Nan) Yue

Dr. N. (Nan) Yue

Profiel

Biografie

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.

Projecten

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.

Selected Publications

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. 

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