An automatic model calibration method for occupant restraint systems

Zhan, Zhenfei; Fu, Yuli; Yang, Ren‐Jye; Peng, Yinghong

doi:10.1007/s00158-011-0671-6

Cited by 17 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Early studies conducted by Mottershead and Friswell [21] provided a comprehensive survey of finite element model updating. Aiming at matching the key features of functional response, Zhan [22] developed an automatic model calibration method based on the error assessment of response history metric. Lee and Kam [23] experimentally investigated the identification of mechanical properties of elastically restrained laminated plates.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling and model updating for smart laminated structures with viscoelastic damping

Zhan

Liu

et al. 2018

Smart Mater. Struct.

Self Cite

View full text Add to dashboard Cite

This paper presents a numerical modeling method combined with model updating techniques for the analysis of smart laminated structures with viscoelastic damping. Starting with finite element formulation, the dynamics model with piezoelectric actuators is derived based on the constitutive law of the multilayer plate structure. The frequency-dependent characteristics of the viscoelastic core are represented utilizing the anelastic displacement fields (ADF) parametric model in the time domain. The analytical model is validated experimentally and used to analyze the influencing factors of kinetic parameters under parametric variations. Emphasis is placed upon model updating for smart laminated structures to improve the accuracy of the numerical model. Key design variables are selected through the smoothing spline ANOVA statistical technique to mitigate the computational cost. This updating strategy not only corrects the natural frequencies but also improves the accuracy of damping prediction. The effectiveness of the approach is examined through an application problem of a smart laminated plate. It is shown that a good consistency can be achieved between updated results and measurements. The proposed method is computationally efficient.

show abstract

Section: Introductionmentioning

confidence: 99%