Use of Neural Networks for Damage Detection in Structural Elements using Wave Propagation

2009 ◽  
Author(s):  
L. Ziemianski ◽  
G. Piatkowski
Keyword(s):  
Neural Networks ◽  
Wave Propagation ◽  
Damage Detection ◽  
Structural Elements

Damage Detection in Structural Elements Through Wave Propagation Using Weighted RMS

2015 ◽  
pp. 2579-2586 ◽  
Author(s):  
T. Jothi Saravanan ◽  
Karthick Hari ◽  
N. Prasad Rao ◽  
N. Gopalakrishnan
Keyword(s):  
Wave Propagation ◽  
Damage Detection ◽  
Structural Elements

scholarly journals FEM-Based Wave Propagation Modelling for SHM: Certain Numerical Issues in 1D Structures

Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2051 ◽  
Author(s):  
Magdalena Palacz ◽  
Arkadiusz Żak ◽  
Marek Krawczuk
Keyword(s):  
Wave Propagation ◽  
Numerical Modelling ◽  
Damage Detection ◽  
Elastic Waves ◽  
Numerical Implementation ◽  
Structural Elements ◽  
Diagnostic Systems ◽  
One Dimensional ◽  
Propagation Of Elastic Waves ◽  
Propagation Modelling

The numerical modelling of structural elements is an important aspect of modern diagnostic systems. However, the process of numerical implementation requires advanced levels of consideration of multiple aspects. Important issues of that process are the positive and negative aspects of the methods applied. Therefore the aim of this article is to familiarise the reader with the most important aspects related to the process of numerical modelling of one-dimensional problems related to the phenomena of the propagation of elastic waves and their application for damage detection purposes.

Damage detection of a damped structure with neural networks

1996 ◽  
Author(s):  
Kevin Napolitano ◽  
John Kosmatka
Keyword(s):  
Neural Networks ◽  
Damage Detection

Damage detection of catenary mooring line based on recurrent neural networks

2021 ◽  
Vol 227 ◽  
pp. 108898
Author(s):  
Kanghyeok Lee ◽  
Minwoong Chung ◽  
Seungjun Kim ◽  
Do Hyoung Shin
Keyword(s):  
Neural Networks ◽  
Damage Detection ◽  
Recurrent Neural Networks ◽  
Mooring Line

Investigation of Sensor Placement in Lamb Wave-Based SHM Method

2012 ◽  
Vol 518 ◽  
pp. 174-183 ◽  
Author(s):  
Pawel Malinowski ◽  
Tomasz Wandowski ◽  
Wiesław M. Ostachowicz
Keyword(s):  
Wave Propagation ◽  
Damage Detection ◽  
Guided Waves ◽  
Sensor Placement ◽  
Detection Algorithm ◽  
Piezoelectric Sensors ◽  
Optimal Placement ◽  
Laser Vibrometer ◽  
Contact Method ◽  
Monitoring Method

In this paper the investigation of a structural health monitoring method for thin-walled parts of structures is presented. The concept is based on the guided elastic wave propagation phenomena. This type of waves can be used in order to obtain information about structure condition and possibly damaged areas. Guided elastic waves can travel in the medium with relatively low attenuation, therefore they enable monitoring of extensive parts of structures. In this way it is possible to detect small defects in their early stage of growth. It is essential because undetected damage can endanger integrity of a structure. In reported investigation piezoelectric transducer was used to excite guided waves in chosen specimens. Dispersion of guided waves results in changes of velocity with the wave frequency, therefore a narrowband signal was used. Measurement of the wave field was realized using laser scanning vibrometer that registered the velocity responses at points belonging to a defined mesh. An artificial discontinuity was introduced to the specimen. The goals of the investigation was to detect it and find optimal sensor placement for this task. Determination of the optimal placement of sensors is a very challenging mission. In conducted investigation laser vibrometer was used to facilitate the task. The chosen mesh of measuring points was the basis for the investigation. The purpose was to consider various configuration of piezoelectric sensors. Instead of using vast amount of piezoelectric sensors the earlier mentioned laser vibrometer was used to gather the necessary data from wave propagation. The signals gather by this non-contact method for the considered network were input to the damage detection algorithm. Damage detection algorithm was based on a procedure that seeks in the signals the damage-reflected waves. Knowing the wave velocity in considered material the damage position can be estimated.

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