The sensitivity method in finite element model updating: A tutorial
JE Mottershead, M Link, MI Friswell - Mechanical systems and signal …, 2011 - Elsevier
The sensitivity method is probably the most successful of the many approaches to the
problem of updating finite element models of engineering structures based on vibration test …
problem of updating finite element models of engineering structures based on vibration test …
Structural dynamic model updating techniques: A state of the art review
S Sehgal, H Kumar - Archives of Computational Methods in Engineering, 2016 - Springer
This paper presents a review of structural dynamic model updating techniques. Starting with
a tutorial introduction of basic concepts of model updating, the paper reviews direct and …
a tutorial introduction of basic concepts of model updating, the paper reviews direct and …
Structural damage detection based on l1 regularization using natural frequencies and mode shapes
Conventional vibration‐based damage detection methods employ the Tikhonov
regularization in model updating to deal with the problems of underdeterminacy and …
regularization in model updating to deal with the problems of underdeterminacy and …
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification
In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …
to earthquake ground motion is generated via adversarial learning technique under different …
Adaptive Tikhonov regularization for damage detection based on nonlinear model updating
XY Li, SS Law - Mechanical Systems and Signal Processing, 2010 - Elsevier
This paper presents an adaptive regularization approach for solving the nonlinear model
updating inverse problem. The discrimination of possible damaged elements and …
updating inverse problem. The discrimination of possible damaged elements and …
Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data
Deterministic model updating is now a mature technology widely applied to large-scale
industrial structures. It is concerned with the calibration of the parameters of a single model …
industrial structures. It is concerned with the calibration of the parameters of a single model …
Sparse Bayesian learning for structural damage identification
Identification of structural parameters can be cast as the process of solving an inverse
problem, in which regularization may be required when the problem is ill-posed. Bayesian …
problem, in which regularization may be required when the problem is ill-posed. Bayesian …
On model-based damage detection by an enhanced sensitivity function of modal flexibility and LSMR-Tikhonov method under incomplete noisy modal data
Sensitivity-based methods by the model updating strategy are still influential and reliable for
structural damage detection. The major issue is to utilize a well-established sensitivity …
structural damage detection. The major issue is to utilize a well-established sensitivity …
[HTML][HTML] A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: Application to a full-scale bridge structure
Structural model updating (SMU) by sensitivity analysis is a reliable and successful
approach to adjusting finite element models of real structures by modal data. However …
approach to adjusting finite element models of real structures by modal data. However …
Structural damage detection by a new iterative regularization method and an improved sensitivity function
A new sensitivity-based damage detection method is proposed to identify and estimate the
location and severity of structural damage using incomplete noisy modal data. For these …
location and severity of structural damage using incomplete noisy modal data. For these …