Ultrasonic wave-based structural health monitoring embedded instrument

2013 ◽  
Vol 84 (12) ◽  
pp. 125106 ◽  
Author(s):  
G. Aranguren ◽  
P. M. Monje ◽  
Valerijan Cokonaj ◽  
Eduardo Barrera ◽  
Mariano Ruiz
Keyword(s):  
Structural Health Monitoring ◽  
Ultrasonic Wave ◽  
Health Monitoring ◽  
Structural Health

Diffuse ultrasonic wave-based structural health monitoring for railway turnouts

Ultrasonics ◽  
2020 ◽  
Vol 101 ◽  
pp. 106031 ◽  
Author(s):  
Kai Wang ◽  
Wuxiong Cao ◽  
Lei Xu ◽  
Xiongbin Yang ◽  
Zhongqing Su ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Ultrasonic Wave ◽  
Health Monitoring ◽  
Structural Health

Multimodal structural health monitoring based on active and passive sensing

2017 ◽  
Vol 17 (2) ◽  
pp. 395-409 ◽  
Author(s):  
Amir Nasrollahi ◽  
Wen Deng ◽  
Zhaoyun Ma ◽  
Piervincenzo Rizzo
Keyword(s):  
Acoustic Emission ◽  
Structural Health Monitoring ◽  
Monitoring System ◽  
Ultrasonic Wave ◽  
Health Monitoring ◽  
Active Sensing ◽  
Health Monitoring System ◽  
Electromechanical Impedance ◽  
Structural Health ◽  
Structural Health Monitoring System

We present a structural health monitoring system based on the simultaneous use of passive and active sensing. The passive approach is based on acoustic emission, whereas the active approach uses the electromechanical impedance and the guided ultrasonic wave methods. As all these methods can be deployed with the use of wafer-type piezoelectric transducers bonded or embedded to the structure of interest, this article describes a unified structural health monitoring system where acoustic emission, electromechanical impedance, and guided ultrasonic wave are integrated in the same hardware/software unit. We assess the feasibility of this multimodal monitoring in a large flat aluminum plate instrumented with six transducers. Acoustic emission events are simulated by exciting a tone burst or by using the conventional pencil lead break test, and the detected signals are processed with a source localization algorithm to identify the position of the source. For the active sensing, damage is simulated by adding a small mass to the plate: the raw waveforms are processed with a delay-and-sum algorithm to create an image of the plate, whereas the electrical admittance of each transducer is analyzed using the statistical index of the root-mean-square deviation. The results presented in this article show that the proposed system is robust, mitigates the weaknesses of each method considered individually, and can be developed further to address the challenges associated with the structural health monitoring of complex structures.

scholarly journals A Quantitative Approach for the Bone-implant Osseointegration Assessment Based on Ultrasonic Elastic Guided Waves

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 454 ◽  
Author(s):  
Benjamin Steven Vien ◽  
Wing Kong Chiu ◽  
Matthias Russ ◽  
Mark Fitzgerald
Keyword(s):  
Soft Tissue ◽  
Structural Health Monitoring ◽  
Ultrasonic Wave ◽  
Health Monitoring ◽  
Bone Structure ◽  
Piezoelectric Element ◽  
Guided Wave ◽  
Engineering Structures ◽  
Bone Implant ◽  
Structural Health

Quantitative and reliable monitoring of osseointegration will help further evaluate the integrity of the orthopaedic construct to promote novel prosthesis design and allow early mobilisation. Quantitative assessment of the degree or the lack of osseointegration is important for the clinical management with the introduction of prosthetic implants to amputees. Acousto-ultrasonic wave propagation has been used in structural health monitoring as well as human health monitoring but so far has not extended to osseointegrated implants or prostheses. This paper presents an ultrasonic guided wave approach to assess the osseointegration of a novel implant. This study explores the potential of integrating structural health monitoring concepts into a new osseointegrated implant. The aim is to demonstrate the extension of acousto-ultrasonic techniques, which have been widely reported for the structural health monitoring of engineering structures, to assess the state of osseointegration of a bone and implant. To illustrate this potential, this paper will report on the experimental findings which investigated the unification of an aluminium implant and bone-like geometry surrogate. The core of the test specimen is filled with silicone and wrapped with plasticine to simulate the highly damped cancellous bone and soft tissue, respectively. To simulate the osseointegration process, a 2-h adhesive epoxy is used to bond the surrogate implant and a bone-like structure. A series of piezoelectric elements are bonded onto the surrogate implant to serve as actuators and sensors. The actuating piezoelectric element on an extramedullary strut is excited with a 1 MHz pulse signal. The reception of the ultrasonic wave by the sensing elements located on the adjacent and furthest struts is used to assess the integration of this implant to the parent bone structure. The study shows an Osseointegration Index can be formulated by using engineering and acousto-ultrasonic methods to measure the unification of a bone and implant. This also highlights a potential quantitative evaluation technique regardless of bone-implant geometry and soft tissue damping.

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