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David Zhou

Personal Information

Professor  
Supervisor of Doctorate Candidates  
Supervisor of Master's Candidates  

Main positions:Associate Professor

Other Post:世界交通运输大会(WTC)轨道交通学部轨道交通装备系统科学“机车车辆”技术委员会 联合主席

Journal Publications

Dynamic stiffness method for exact longitudinal free vibration of rods and trusses using simple and advanced theories

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Journal:Applied Mathematical Modelling

Key Words:Dynamic stiffness method, Wittrick-Williams algorithm, Rayleigh-Bishop theory, Mindlin–Hermann theory, Broadband dynamics, Modal analysis

Abstract:Closed-form dynamic stiffness (DS) formulations coupled with an efficient eigen-solution technique are proposed for exact longitudinal free vibration analyses of rods and trusses by using classical, Rayleigh-Love, Rayleigh-Bishop and Mindlin–Hermann theories. First, the exact general solutions of the governing differential equations of the four rod theories are developed. Then the solutions are substituted into the generalized displacement and force boundary conditions (BCs), leading to the elemental DS matrices utilising symbolic compu- tation. As an accurate and efficient modal solution technique, the Wittrick-Williams (WW) algorithm is applied. The J 0 count for the WW algorithm has been resolved for all four types of DS elements with explicit analytical expressions. The method is verified against some existing exact results for rods subjected to specific BCs. Comparisons of the natural frequencies and mode shapes for different theories and slenderness ratios are also made. Finally, benchmark solutions are provided for individual rods subject to different BCs, a stepped rod and a truss. This research provides an exact and highly efficient modal analy- sis tool for rods and trusses within the whole frequency range, which is suitable for para- metric studies, optimization design, inverse problem analysis, and important for statistical energy analysis.

Indexed by:Journal paper

Page Number:1-20

Translation or Not:no

Date of Publication:2022-01-01

Links to published journals:www.elsevier.com/locate/apm

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