Model updating of a dynamic system in a high-temperature environment based on a hierarchical method

He, Cheng; Chen, Guoping; He, Huan; Sun, Rujie

doi:10.1016/j.finel.2013.08.004

Cited by 13 publications

(3 citation statements)

References 19 publications

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“…He et al [16] decomposed the landing buffer system into the recovery module and the airbag system, and their finite element (FE) models were respectively established and updated. By considering the measurement uncertainty brought about by the high-temperature environment in the complex aeromechanical system, He et al [17,18] and Chen et al [19] identified the thermodynamic parameters and the mechanical structure parameters sequentially. Fei et al [20] proposed a hierarchical model updating strategy for the FE model of complex structures, which decomposed the assembled structure into a series of substructures.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Model Updating Method for Vector Electric-Propulsion Satellites

Dong

2023

Applied Sciences

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Electric propulsion is of great significance to the development of high-efficiency and long-life satellites, and digital twins have gradually become a powerful tool for satellite engineering. Being affected by uncertainty factors such as the complexity and variability of the space environment and the satellite system, the digital twin model cannot accurately reflect the real physical properties. Therefore, it is crucial to update the satellite model to improve prediction accuracy. However, the complex structure and multi-physics process coupling of vector electric-propulsion satellites bring great challenges to model updating. According to the characteristics of the vector electric-propulsion satellite, this paper establishes mathematical models of the whole satellite. Additionally, a hierarchical model updating method is proposed and applied to the model updating case of a satellite with multiple subsystems. The simulation results show that the method is suitable for the model updating of the vector electric-propulsion satellite. Through multiple iterations of closed-loop cycles, the residual errors between the simulation values and the telemetry values can be decreased, and the errors between the estimated values and the true values of state variables can also be decreased by an order of magnitude.

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Section: Introductionmentioning

confidence: 99%

Hierarchical Model Updating Method for Vector Electric-Propulsion Satellites

Dong

2023

Applied Sciences

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“…During the simulation of the impact of nonuniform thermal load, its correspondence of temperature distribution is taken as prestress imposed on the nodes of finite element model, 19,20 and neglect the changes of material property values, which need a high temperature and will not be studied, which can also provide valuable reference for medical applications. The output response of the dynamic signal is based on the acceleration FRF (AFRF).…”

Section: Introductionmentioning

confidence: 99%

“…The output response of the dynamic signal is based on the acceleration FRF (AFRF). During the simulation of the impact of nonuniform thermal load, its correspondence of temperature distribution is taken as prestress imposed on the nodes of finite element model, 19,20 and neglect the changes of material property values, which need a high temperature and will not be studied, which can also provide valuable reference for medical applications. [21][22][23][24] Besides, the influence of the dynamic response to the temperature distribution is negligible in most cases, because the temperature field is considered as a steady ambient to the rapid change of dynamic response.…”

Section: Introductionmentioning

confidence: 99%

Cantilever structure model updating of end effector based on frequency response data under thermal effects

Wang

Liu

Zhao

2018

Adaptive Control & Signal

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The effect of thermal on the structural dynamic response is gaining attention, and should be taken into account during model updating. Meanwhile, metamodel technique is applied to be a surrogate model for its low computational cost. In this work, the structural model updating under thermal field is investigated, an attempt has been made to combine Kriging metamodel and frequency response function based model updating. The Kriging model, taken as a surrogate, is constructed based on the input variables selected by F-test method, which is applied on the results of design of experiment. The errors of response signal between analytical model and experimental model are used to create response of design of experiment. The performed example demonstrates the effectiveness of the proposed approach. KEYWORDS frequency response signal, metamodel, model updating, thermal preload Int J Adapt Control Signal Process. 2019;33:1257-1264.wileyonlinelibrary.com/journal/acs

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Model Updating and Uncertainty Quantification of Geometrically Nonlinear Panel Subjected to Non-uniform Temperature Fields

Park¹,

Allen²

2021

Conference Proceedings of the Society for Experimental Mechanics Series

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Model updating of a dynamic system in a high-temperature environment based on a hierarchical method

Cited by 13 publications

References 19 publications

Hierarchical Model Updating Method for Vector Electric-Propulsion Satellites

Hierarchical Model Updating Method for Vector Electric-Propulsion Satellites

Cantilever structure model updating of end effector based on frequency response data under thermal effects

Model Updating and Uncertainty Quantification of Geometrically Nonlinear Panel Subjected to Non-uniform Temperature Fields

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