scispace - formally typeset
Open AccessJournal ArticleDOI

Passive sensing method for impact localisation in composite plates under simulated environmental and operational conditions

Reads0
Chats0
TLDR
It was shown that by using the proposed method for TOA extraction, the trained ANN is able to better predict the location of impacts compared to an ANN trained with data from common ToA extraction methods.
About
This article is published in Mechanical Systems and Signal Processing.The article was published on 2019-08-15 and is currently open access. It has received 46 citations till now.

read more

Citations
More filters
Journal ArticleDOI

Impact load identification of nonlinear structures using deep Recurrent Neural Network

TL;DR: The results show that the proposed method has the capability for identifying the complex impact load even when the impact location is unknown, and hyperparameters of the deep RNN model and placement scheme of sensors are not highly sensitive to the identification accuracy.
Journal ArticleDOI

Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks

TL;DR: A deep convolutional generative adversarial network which includes a generator with encoder–decoder structure and an adversarial discriminator is proposed which can be seen that the final reconstruction signals match well with the real signals in the time domain and frequency domain.
Journal ArticleDOI

Impact diagnosis in stiffened structural panels using a deep learning approach

TL;DR: An approach for the autonomous analysis of wavefields for impact diagnosis, that is, identifying the impact location and reconstructing the impact force time-history by incorporating the physics-based concept of time-reversal in the recurrent part of the network.
Journal ArticleDOI

Impact force reconstruction and localization using nonconvex overlapping group sparsity

TL;DR: The proposed method is able to localize the impact and at the same time recover its time history accurately, while under the same measuring conditions the nonconvex(atan) method and the l 1 -norm method usually fail.
Journal ArticleDOI

Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions.

TL;DR: The proposed impact localisation method is capable of detecting the location of impacts of varying stiffness under various environmental and operational conditions using data from only a single impact case, which brings it closer to the application of data driven impact detection systems in real life structures.
References
More filters
Book

Impact on Composite Structures

TL;DR: In this article, the authors present contact laws, contact dynamics, low velocity impact damage, residual properties, and ballistic impact on sandwich structures, as well as the impact on the sandwich structure.
Journal ArticleDOI

Acoustic source localization in anisotropic plates.

TL;DR: For the first time a technique is proposed to locate the acoustic source in large anisotropic plates with the help of only six sensors without knowing the direction dependent velocity profile in the plate.
Journal ArticleDOI

Impact damage location in composite structures using optimized sensor triangulation procedure

TL;DR: In this paper, a new method of impact location in composite materials is proposed based on a classical sensor triangulation methodology and combines experimental strain wave velocity analysis with an optimization genetic algorithm procedure.
Journal ArticleDOI

Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique

TL;DR: In this article, a combination of unconstrained optimization technique associated with a local Newton's iterative method was employed to solve a set of nonlinear equations in order to assess the impact location coordinates and the wave speed.
Related Papers (5)
Frequently Asked Questions (16)
Q1. What have the authors contributed in "Passive sensing method for impact localisation in composite plates under simulated environmental and operational conditions" ?

In this paper, a novel feature extraction method is developed for impact localisation based on Artificial Neural Networks ( ANNs ) in sensorized composite structures subjected to environmental and operational conditions. 

For the problem of vibration noise, high pass filtering was proposed due to the wide band signal generated by impacts which usually have much higher impact frequencies than operational vibration noise. 

To generate vibration noise, 8 vibration motors (consisting of 3V coin motors attached to LM8UU linear bearings) were bonded on the top side of both flat and curved plates generating noise. 

Increased height (F7) gives higher kinetic energy and causes the amplitude of the signalto increase relative to the baseline case (F1) while the waveform does not change[23,25]. 

Angled impact (F5) also lowers the general amplitude and introduces slight phase shift in the later parts of the wave without much alteration to the waveform. 

The aim of this work is to propose an impact localization methodology based onANN which is applicable for composite structures under operational and environmental conditions without the need for an impossibly large training data set. 

The second group of impact location passive sensing methods are the data drivenmethods which utilize an initial reference set of wave features from known impacts to train an algorithm to map the said features to the impact location[ 

One of the first techniques developed is the triangulation based methods where the impact location is determined using the linear relation between Time of Arrival (TOA) of the wave and the relative distance travelled to each sensor [3,14–18]. 

It can be seen that the effect of geometry on accuracy is relatively small for NSET ANNs whilst for NT ANNs the accuracy is higher for curved plates. 

In general, the probable impacts on aircraft parts, excite a wide band frequency response (above 10 kHz [34,35]) which is usually higher than operational vibration levels (under 2kHz as stated by RCTA DO-160C [32]). 

Vibration filtering, number of sensors and difference in plate geometry (curvature) did not significantly affect the accuracy of NSET ANNs. 

From the gathered experimental data, it was observed that variation in impact condition (mass, angle, energy, temperature) has a significant effect on impact response signals. 

The impactor head used was a 20 mm diameter round steel head and the impactor mass used was 100 gr (original) and 200 gr (increased by adding extra weight attachments to the impactor). 

Whilst these types of impacts result in easily detectable damage (dents) on an aluminium airframe, they can generate visually undetectable damage in composite structures which may result in eventual failure if left undetected[3,4]. 

The database reference methods match the features of an impact wave to a database of previously known impact wave features measured at different impact locations/points. 

there still remains certain challenges before SHM can be sought as a maintenance tool on board of an aircraft such as survivability of sensors, wires, connectors [10,11] under operational conditions and the reliability of the diagnostics [12,13].