Joints Parameters Identification in Numerical Modeling of Structural Dynamics

• Published in: Shock and vibration Vol. 2018; no. 2018; pp. 1 - 11
• Main Authors: Xiong, Fei, Lan, Fengchong, Chen, Jiqing, Yang, Yuedong, Zeng, Zicong
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; Hindawi Limited; Wiley
• Subjects: Dynamic structural analysis; Dynamics; Engineering; Genetic algorithms; Mathematical models; Model accuracy; Multiple objective analysis; Optimization; Parameter identification; Signal processing; Vibration; Welding
• ISSN: 1070-9622; 1875-9203
• DOI: 10.1155/2018/2365759

The dynamics of assembled structures are significantly dependent on joints. Joints parameters, owing to be difficultly measured, are always ignored by pure rigid in numerical modeling and it will result in unreliable or even error descriptions. 1 ~ 3 Hz deviations may cause resonance especially in engineering optimization issues; hence it is necessary to identify joints parameters for structural dynamics investigation. In present work, multiobjective optimization algorithms are used to identify joints parameters by approaching actual test results in each series of structure to decrease unreliable or error for numerical modeling. Taking automotive dynamics with seam-welding and spot-welding as examples, the relationship of joints parameters perturbation and structural dynamics is derived to give the selecting reason of parameters’ identification. The actual dynamics of an SUV’s frame and a thin-walled part in BIW (body in white) are utilized to validate the methodology. Results demonstrate that the validated model has enough accuracy to reflect the dynamics of the actual structure. The methodology provides reliable guarantee for dynamic analysis and the design of structure.