Robust energy-based model updating framework for random processes in dynamics: Application to shaking-table experiments

Diaz, Matthieu; Charbonnel, Pierre-Étienne; Chamoin, Ludovic

doi:10.1016/j.compstruc.2022.106746

Cited by 11 publications

(35 citation statements)

References 59 publications

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“…Although some exceptions exist, see [14][15][16][17], these updating methods are typically limited to linear(ized) systems [8,18]. Furthermore, these methods are based on expensive iterative sensitivity methods [16,17,[19][20][21][22][23][24][25] or physically non-interpretable direct methods [21,[26][27][28]. Consequently, these techniques do not meet the four requirements for model updating for DTs as mentioned above and are thus not regarded as a viable solution to the problem considered here.…”

Section: Introductionmentioning

confidence: 99%

Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features

2023

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In the context of digital twins, it is essential that a model gives an accurate description of the (controlled) dynamic behavior of a physical system during the system’s entire operational life. Therefore, model updating techniques are required that enable real-time updating of physically interpretable parameter values and are applicable to a wide range of (nonlinear) dynamical systems. As traditional, iterative, parameter updating methods may be computationally too expensive for real-time updating, the inverse mapping parameter updating (IMPU) method is proposed as an alternative. For this method, first, an artificial neural network (ANN) is trained offline using novel features of simulated transient response data. Then, in the online phase, this ANN maps, with little computational cost, a set of measured output response features to parameter estimates enabling real-time model updating. In this paper, various types of transient response features are introduced to update parameter values of nonlinear dynamical systems with increased computational efficiency and accuracy. To analyze the efficacy of these features, the IMPU method is applied to a (simulated) nonlinear multibody system. It is shown that a smart selection of features, based on, e.g., the frequency content of the transient response, can improve the accuracy of the estimated parameter values, leading to more accurate updated models. Furthermore, the generalization capabilities of the ANNs are analyzed for these feature types, by varying the number of training samples and assessing the effect of incomplete training data. It is shown that the IMPU method can predict parameter values that are not part of the training data with acceptable accuracy as well.

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Section: Introductionmentioning

confidence: 99%

Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features

2023

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“…Distinct objective functions can be defined as a function of the reference quantities (e.g. [22,35]). In the present work, the reference quantities are the vibration modes of the structure obtained synthetically using a dedicated FEM module (more details in Section 4).…”

Section: Initiate Modelmentioning

confidence: 99%

“…aerospace structures [14,15], topology optimization [16] and civil engineering [17,18,19,20]. It is worth mentioning that inherent uncertainties can also be considered in model updating [21,22,23].…”

Section: Introductionmentioning

confidence: 99%

MCRE-based finite element model updating: Cast3M implementation

Oliveira

Louf

Gatuingt

2022

Advances in Engineering Software

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“…Although easy to implement, these techniques may lack of robustness as the identification result is strongly relying on (i) the choice of the a priori information that regularizes the inverse problem in Tikhonov's sense, and (ii) the calibration of the relative weights of the different terms contributing to the cost function [44]. An alternative then consists in using the concept of modified Constitutive Relation Error (mCRE) whose physics-based construction avoids the need for user-dependent knowledge [45][46][47]. This is the main driver behind its selection as a reference method for model updating in this paper.…”

Section: Introductionmentioning

confidence: 99%

Merging experimental design and structural identification around the concept of modified Constitutive Relation Error in low-frequency dynamics for enhanced structural monitoring

Diaz

Charbonnel

Chamoin

2023

Mechanical Systems and Signal Processing

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Robust energy-based model updating framework for random processes in dynamics: Application to shaking-table experiments

Cited by 11 publications

References 59 publications

Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features

Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features

MCRE-based finite element model updating: Cast3M implementation

Merging experimental design and structural identification around the concept of modified Constitutive Relation Error in low-frequency dynamics for enhanced structural monitoring

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