Nonlinear aeroelastic prediction in transonic buffeting flow by deep neural network

Z Dou, C Gao, W Zhang, Y Tao - AIAA Journal, 2023 - arc.aiaa.org
Transonic buffet is an aerodynamic phenomenon of self-sustained shock oscillations. The
aeroelastic problem caused by it is very complex, including two different dynamic modes …

[HTML][HTML] A novel shape sensing approach based on the coupling of Modal Virtual Sensor Expansion and iFEM: Numerical and experimental assessment on composite …

M Esposito - Computers & Structures, 2024 - Elsevier
Shape sensing, ie the reconstruction of the displacement field of a structure from discrete
strain measurements, is becoming crucial for the development of a modern Structural Health …

A data fusion method for bridge displacement reconstruction based on LSTM networks

ZC Wang, DY Duan, XT Sun, Y Xin - Smart Structures and Systems, An …, 2022 - dbpia.co.kr
Bridge displacement contains vital information for bridge condition and performance. Due to
the limits of direct displacement measurement methods, the indirect displacement …