Identification of Volterra kernels for improved predictions of nonlinear aeroelastic vibration responses and flutter

• Main Authors: Lin, Rongming, Ng, Yong Teng
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Mechanical engineering; Nonlinear Aeroelasticity; Volterra Kernels
• Online Access: https://hdl.handle.net/10356/141564
• Institution: Nanyang Technological University

Aeroelastic structural systems are intrinsically nonlinear and accurate predictions of dynamic responses of nonlinear aeroelastic systems have become of paramount importance since these directly affect the accuracy and reliability of subsequent stability analyses. Such nonlinear systems can be gener...