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Convolutional neural networks for automated damage recognition and damage type identification
Recurring expenses associated with preventative maintenance and inspection produce
operational inefficiencies and unnecessary spending. Human inspectors may submit …
operational inefficiencies and unnecessary spending. Human inspectors may submit …
[書籍][B] Structural dynamic analysis with generalized dam** models: analysis
S Adhikari - 2013 - books.google.com
Since Lord Rayleigh introduced the idea of viscous dam** in his classic work" The Theory
of Sound" in 1877, it has become standard practice to use this approach in dynamics …
of Sound" in 1877, it has become standard practice to use this approach in dynamics …
A general Bayesian framework for ellipse-based and hyperbola-based damage localization in anisotropic composite plates
C Fendzi, N Mechbal, M Rebillat… - Journal of Intelligent …, 2016 - journals.sagepub.com
This article focuses on Bayesian Lamb wave-based damage localization in structural health
monitoring of anisotropic composite materials. A Bayesian framework is applied to take …
monitoring of anisotropic composite materials. A Bayesian framework is applied to take …
Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach
Abstract Structural Health Monitoring (SHM), ie the action of monitoring structures in real-
time and in an automated manner, is a major challenge in several industrial fields such as …
time and in an automated manner, is a major challenge in several industrial fields such as …
Finite element model updating of a small scale bridge
JL Zapico, MP Gonzalez, MI Friswell, CA Taylor… - Journal of Sound and …, 2003 - Elsevier
Although considerable experience has been gained in model updating, the critical issues
that remain are the choice of parameters and how to deal with ill-conditioning. Although a …
that remain are the choice of parameters and how to deal with ill-conditioning. Although a …
Reduced bases for model updating in structural dynamics based on constitutive relation error
This paper deals with the application of a model reduction method to the updating of models
of industrial structures with many degrees of freedom. The updating method is based on the …
of industrial structures with many degrees of freedom. The updating method is based on the …
Estimate of the axial force in slender beams with unknown boundary conditions using one flexural mode shape
G Rebecchi, N Tullini, F Laudiero - Journal of Sound and Vibration, 2013 - Elsevier
This paper presents an experimental procedure for the axial load identification of slender
prismatic beams with unknown boundary conditions by making use of one vibration …
prismatic beams with unknown boundary conditions by making use of one vibration …
A unified non-linear system model view of hyperelasticity, viscoelasticity and hysteresis exhibited by rubber
R Penas, E Balmes, A Gaudin - Mechanical Systems and Signal …, 2022 - Elsevier
Rubber modeling is an old subject and so many models exist that it is difficult to have a clear
vision of what exists and is more appropriate. Rather than attempting a standard review, this …
vision of what exists and is more appropriate. Rather than attempting a standard review, this …
A generalized layerwise finite element for multi-layer dam** treatments
RAS Moreira, JD Rodrigues, AJM Ferreira - Computational Mechanics, 2006 - Springer
This paper presents a 4-node facet type quadrangular shell finite element, based on a
layerwise theory, developed for dynamic modelling of laminated structures with viscoelastic …
layerwise theory, developed for dynamic modelling of laminated structures with viscoelastic …
Probabilistic approach for model and data uncertainties and its experimental identification in structural dynamics: Case of composite sandwich panels
This paper deals with the experimental identification and the validation of a non-parametric
probabilistic approach allowing model uncertainties and data uncertainties to be taken into …
probabilistic approach allowing model uncertainties and data uncertainties to be taken into …