Data-driven prediction of critical flutter velocity of long-span suspension bridges using a probabilistic machine learning approach-Reference-Cited by-同舟云学术

Data-driven prediction of critical flutter velocity of long-span suspension bridges using a probabilistic machine learning approach

Published:2023-05 Issue: Volume:280 Page:107002
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Tinmitondé Sévérin,He Xuhui,Yan Lei,Hounye Alphonse Houssou

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference97 articles.

1. Resonance, Tacoma Narrows bridge failure, and undergraduate physics textbooks;Billah;Am J Phys,1991

2. Supersonic flutter analysis of thin cracked functionally graded material plates;Natarajan;Front Aerosp Eng,2012

3. Linear flutter analysis of functionally graded panels using cell based smoothed finite element method and discrete shear gap technique;Natarajan;J Coupled Syst Multiscale Dyn,2013

4. NURBS-based finite element analysis of functionally graded plates: Static bending, vibration, buckling and flutter;Valizadeh;Compos Struct,2013

5. Effects of aerodynamic interferences between heaving and torsional vibration of bridge decks: The case of Tacoma Narrows Bridge;Matsumoto;J Wind Eng Ind Aerodyn,2003

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