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Journal ArticleDOI

Inverse identification of the frequency-dependent mechanical parameters of viscoelastic materials based on the measured FRFs

TLDR
Based on the measured resonance frequencies and frequency response functions (FRFs) of a viscoelastic damping plate, an inverse approach was developed to identify the aforementioned parameters with frequency-dependent characteristic as discussed by the authors.
About
This article is published in Mechanical Systems and Signal Processing.The article was published on 2018-01-01. It has received 35 citations till now. The article focuses on the topics: Dynamic modulus & Viscoelasticity.

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Citations
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Characterisation of Viscoelastic Layers in Sandwich Panels via an Inverse Technique

TL;DR: In this article, a new inverse technique to characterise the nonlinear mechanical properties of viscoelastic core layers in sandwich panels has been developed based on simple vibration tests, which allows one to preserve the frequency and temperature dependences of the storage and loss moduli of VMs for a wide range of frequencies and to perform a structural analysis using high damping tests.
Journal ArticleDOI

An identification method for frequency dependent material properties of viscoelastic sandwich structures

TL;DR: In this article, an inverse identification method of the viscoelastic material properties (shear modulus G 0 and loss factor η C ) of a symmetric three-layered VE beam is proposed.
Journal ArticleDOI

Development of a prediction method of Rayleigh damping coefficients for free layer damping coatings through machine learning algorithms

TL;DR: In this paper, the authors developed a methodology that helps to define damping parameters of such viscoelastic coating layers through Rayleigh damping coefficients and used machine learning tools to find a prediction formula which yields Rayleigh coefficients based on thicknesses.
Journal ArticleDOI

Identification of frequency-dependent viscoelastic damped structures using an adjoint method

TL;DR: In this paper, an adjoint-based gradient method is developed to minimize the quadratic error between the finite element model and the experimental modal data (frequencies and loss factors).
Journal ArticleDOI

Optimization of Hoop Layouts for Reducing Vibration Amplitude of Pipeline System Using the Semi-Analytical Model and Genetic Algorithm

TL;DR: In this article, a single pipeline system with multi-hoop supports was taken as the object and a method based on genetic algorithm to realize the layout of hoops and effectively reduce the resonance amplitude of pipeline system was proposed.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Journal ArticleDOI

Genetic Algorithms and Machine Learning

TL;DR: There is no a priori reason why machine learning must borrow from nature, but many machine learning systems now borrow heavily from current thinking in cognitive science, and rekindled interest in neural networks and connectionism is evidence of serious mechanistic and philosophical currents running through the field.
Proceedings Article

Distributed Optimization by Ant Colonies

TL;DR: A distributed problem solving environment is introduced and its use to search for a solution to the travelling salesman problem is proposed.
Journal ArticleDOI

The sensitivity method in finite element model updating: A tutorial

TL;DR: A basic introduction to the most important procedures of computational model updating is provided, including tutorial examples to reinforce the reader’s understanding and a large scale model updating example of a helicopter airframe.
Journal ArticleDOI

Fractional calculus in the transient analysis of viscoelastically damped structures

TL;DR: In this article, the authors used fractional calculus to model the viscoelastic behavior of a damping layer in a simply supported beam and analyzed the beam by using both a continuum formulation and a finite element formulation to predict the transient response to a step loading.
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