Journal ArticleDOI
Mode shape expansion using perturbed force approach
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TLDR
In this paper, a new approach for expanding incomplete experimental mode shapes is presented which considers the modelling errors in the analytical model and the uncertainties in the vibration modal data measurements, and adopts the perturbed force vector that includes the effect of the discrepancy in mass and stiffness between the finite element model and actual tested dynamic system.About:
This article is published in Journal of Sound and Vibration.The article was published on 2010-04-12. It has received 41 citations till now. The article focuses on the topics: Modal testing & Modal analysis using FEM.read more
Citations
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Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes
TL;DR: Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.
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Expansion of experimental mode shape from operational modal analysis and virtual sensing for fatigue analysis using the modal expansion method
TL;DR: A new quality measurement is introduced – the normalised error of fatigue damage – for strain estimation intended for fatigue analysis and, based on this study, expansion of experimental mode shapes has the potential to reduce errors in stress/strain estimation.
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Structural damage detection by a new iterative regularization method and an improved sensitivity function
TL;DR: In this article, an improved sensitivity function of modal strain energy (MSE) based on Lagrange optimization problem is derived to adapt the initial sensitivity formulation of MSE to damage detection problem with the aid of new mathematical approaches.
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Sensor placement optimization for structural modal identification of flexible structures using genetic algorithm
TL;DR: In this paper, a discrete-type optimization problem using genetic algorithm is formulated by defining the sensor positions and the modal assurance criterion (MAC) as the design variables and the objective function, respectively.
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Modal parameter based structural identification using input–output data: Minimal instrumentation and global identifiability issues
TL;DR: In this paper, a mass normalized mode shape expansion and subsequent physical parameter identification for shear-type structural systems with input-output measurements is investigated, and the issue of global identifiability of the system is also addressed vis-a-vis instrumentation set-ups.
References
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Journal ArticleDOI
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
TL;DR: The generalized cross-validation (GCV) method as discussed by the authors is a generalized version of Allen's PRESS, which can be used in subset selection and singular value truncation, and even to choose from among mixtures of these methods.
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Reduction of stiffness and mass matrices
TL;DR: In this article, the authors proposed a method for reducing the size of the stiffness matrix by eliminating coordinates at which no forces are applied, based on the procedure used in Ref. 1 for stiffness matrix reduction.
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Model Updating In Structural Dynamics: A Survey
TL;DR: It is the authors' hope that this work will prove to be of value, especially to those who are getting acquainted with the research base and aim to participate in the application of model updating in industry, where a pressing need exists.
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Model reduction using dynamic and iterated IRS techniques
TL;DR: The IRS method is extended by obtaining the equivalent transformation based on dynamic rather than static reduction, and an iterative algorithm, based on the IRS method, is described, which provides a reduced model which reproduces a subset of the modal model of the full system.