Comparison of Lamb wave focusing performance using wave dispersion-compensated actuation and plano-concave lenses

Kudela, Paweł; Ostachowicz, Wiesław

doi:10.1063/1.5032159

Cited by 12 publications

(6 citation statements)

References 26 publications

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“…The refraction and resonant type waveguides indeed act as lenses and improve the signal amplitudes. Researchers have also bonded curved plate slices to the structure to serve as plano-convex lenses for Lamb wave focusing prior to the detector [91,92]. While all of these efforts have successfully increased the wave amplitude and therefore the sensor output, they result in the addition of a significant mass to the structure.…”

Section: Fbg Sensors For Gw Sensingmentioning

confidence: 99%

Optical Fiber Sensors for Ultrasonic Structural Health Monitoring: A Review

Soman

Wee

Peters

2021

Sensors

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Guided waves (GW) and acoustic emission (AE) -based structural health monitoring (SHM) have widespread applications in structures, as the monitoring of an entire structure is possible with a limited number of sensors. Optical fiber-based sensors offer several advantages, such as their low weight, small size, ability to be embedded, and immunity to electro-magnetic interference. Therefore, they have long been regarded as an ideal sensing solution for SHM. In this review, the different optical fiber technologies used for ultrasonic sensing are discussed in detail. Special attention has been given to the new developments in the use of FBG sensors for ultrasonic measurements, as they are the most promising and widely used of the sensors. The paper highlights the physics of the wave coupling to the optical fiber and explains the different phenomena such as directional sensitivity and directional coupling of the wave. Applications of the different sensors in real SHM applications have also been discussed. Finally, the review identifies the encouraging trends and future areas where the field is expected to develop.

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Section: Fbg Sensors For Gw Sensingmentioning

confidence: 99%

Optical Fiber Sensors for Ultrasonic Structural Health Monitoring: A Review

Soman

Wee

Peters

2021

Sensors

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“…L′ and Lf are the lens length and the focusing distance from the lens right edge, respectively. In order to make the incident plane wave focusing at a specific point, the waves through different channels should simultaneously arrive at this point, which requires [53,54] 2 2…”

Section: A Rectangular Lens Design For Wave Focusingmentioning

confidence: 99%

Flexural waves in a periodic non-uniform Euler-Bernoulli beam: Analysis for arbitrary contour profiles and applications to wave control

Biwa

2020

International Journal of Mechanical Sciences

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“…It is difficult to present details of each material individually but it can be stated that the piezoelectric type sensors take a major share in the SHM market as they have superior actuation and sensing abilities compared to other sensors [131,139,140]. In the last 25 years, the usage of smart material sensors especially the application of piezo sensors increased in various techniques such as electromechanical impedance [123], ultrasonic guided waves [141,142], Lamb waves [143,144], vibration and damping control, energy harvesting, etc. [145,146].…”

Section: Other Non-fo Smart Materialsmentioning

confidence: 99%

A Perspective of Non-Fiber-Optical Metamaterial and Piezoelectric Material Sensing in Automated Structural Health Monitoring

Annamdas

Soh

2019

Sensors

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Metamaterials are familiar in life sciences, but are only recently adopted in structural health monitoring (SHM). Even though they have existed for some time, they are only recently classified as smart materials suitable for civil, mechanical, and aerospace (CMA) engineering. There are still not many commercialized metamaterial designs suitable for CMA sensing applications. On the other hand, piezoelectric materials are one of the popular smart materials in use for about 25 years. Both these materials are non-fiber-optical in nature and are robust to withstand the rugged CMA engineering environment, if proper designs are adopted. However, no single smart material or SHM technique can ever address the complexities of CMA structures and a combination of such sensors along with popular fiber optical sensors should be encouraged. Furthermore, the global demand for miniaturization of SHM equipment, automation and portability is also on the rise as indicated by several global marketing strategists. Recently, Technavio analysts, a well-known market research company estimated the global SHM market to grow from the current US $ 1.48 billion to US $ 3.38 billion by 2023, at a compound annual growth rate (CAGR) of 17.93%. The market for metamaterial is expected to grow rapidly at a CAGR of more than 22% and the market for piezoelectric materials is expected to accelerate at a CAGR of over 13%. At the same time, the global automation and robotics market in the automotive industry is expected to post a CAGR of close to 8%. The fusion of such smart materials along with automation can increase the overall market enormously. Thus, this invited review paper presents a positive perspective of these non-fiber-optic sensors, especially those made of metamaterial designs. Additionally, our recent work related to near field setup, a portable meta setup, and their functionalities along with a novel piezoelectric catchment sensor are discussed.

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Comparison of Lamb wave focusing performance using wave dispersion-compensated actuation and plano-concave lenses

Abstract: Comparison of Lamb wave focusing performance using wave dispersioncompensated actuation and plano-concave lensesCite as: J. Appl. Phys. 124, 094901 (2018); https://doi.

Cited by 12 publications

References 26 publications

Optical Fiber Sensors for Ultrasonic Structural Health Monitoring: A Review

Optical Fiber Sensors for Ultrasonic Structural Health Monitoring: A Review

Flexural waves in a periodic non-uniform Euler-Bernoulli beam: Analysis for arbitrary contour profiles and applications to wave control

A Perspective of Non-Fiber-Optical Metamaterial and Piezoelectric Material Sensing in Automated Structural Health Monitoring

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