Abstract:Sensing is a fundamental yet crucial part of a functional structural health monitoring system. Substantial research has been invested in developing new sensing techniques to enhance sensing efficiency and accuracy. Practical applications of structural health monitoring approaches to real engineering structures require strict criteria for the sensing system (e.g. weight, position, intrusion and endurance), which challenge existing sensing techniques. The boom in nanotechnology has offered promising solutions fo… Show more
“…The acousto‐ultrasonics‐based SHM where graphene nanoparticles are dispersed into a GF/epoxy composite to form a dispersive network sensing system was investigated. [ 256 ] A small area was required for a single detecting element to capture ultrasonic waves because of the dense graphene network formed inside the composite. The study concluded that the graphene sensor adds very negligible weight to the host structure and can provide rich information on the structural health status until the failure of the host structure.…”
Section: Applications Of Fiber Reinforced Smart Compositesmentioning
Multifunctional fiber-reinforced polymer (FRP) composites provide an ideal platform for next-generation smart composites applications including structural health monitoring, electrical and thermal conductivity, energy storage and harvesting, and electromagnetic interference shielding without compromising their mechanical properties. Recent progress in carbon-based nanomaterials such as graphene and carbon nanotubes (CNTs) has enabled the development of many novel multifunctional composites with excellent mechanical, electrical, and thermal properties. However, the effective incorporation of such carbon nanomaterials into FRP composites using scalable, high-speed, and cost-effective manufacturing without compromising their performance is challenging. This review summarizes the recent progress on graphene and CNT-based FRP composites, their manufacturing techniques, and their applications in smart composites. Current technical challenges and future perspectives on smart FRP composites research to facilitate an essential step toward moving from research and development-based smart composites to industrial-scale mass production are also discussed.
“…The acousto‐ultrasonics‐based SHM where graphene nanoparticles are dispersed into a GF/epoxy composite to form a dispersive network sensing system was investigated. [ 256 ] A small area was required for a single detecting element to capture ultrasonic waves because of the dense graphene network formed inside the composite. The study concluded that the graphene sensor adds very negligible weight to the host structure and can provide rich information on the structural health status until the failure of the host structure.…”
Section: Applications Of Fiber Reinforced Smart Compositesmentioning
Multifunctional fiber-reinforced polymer (FRP) composites provide an ideal platform for next-generation smart composites applications including structural health monitoring, electrical and thermal conductivity, energy storage and harvesting, and electromagnetic interference shielding without compromising their mechanical properties. Recent progress in carbon-based nanomaterials such as graphene and carbon nanotubes (CNTs) has enabled the development of many novel multifunctional composites with excellent mechanical, electrical, and thermal properties. However, the effective incorporation of such carbon nanomaterials into FRP composites using scalable, high-speed, and cost-effective manufacturing without compromising their performance is challenging. This review summarizes the recent progress on graphene and CNT-based FRP composites, their manufacturing techniques, and their applications in smart composites. Current technical challenges and future perspectives on smart FRP composites research to facilitate an essential step toward moving from research and development-based smart composites to industrial-scale mass production are also discussed.
“…Impact damage monitoring results showed that the first GFRP was more sensitive to matrix damage such as microcracks, while the second was more sensitive to delamination damage, which was because different locations of MWCNTs had different electrical responses to different forms of damage. Li et al 40,113 proposed a self-sensing functional GFRP, where a 2D graphene-formed percolating self-sensing network is Considering the agglomeration phenomenon when dispersing CNTs alone, as well as the excellent mechanical and electrical properties of CNT buckypaper, some scholars [114][115][116] have also used CNT buckypaper to develop self-sensing functional composite structures. Wang et al 116 designed and manufactured a type of self-sensing composite structure based on CNT buckypaper for in-suit SHM.…”
“…Impact damage monitoring results showed that the first GFRP was more sensitive to matrix damage such as microcracks, while the second was more sensitive to delamination damage, which was because different locations of MWCNTs had different electrical responses to different forms of damage. Li et al 40,113 proposed a self-sensing functional GFRP, where a 2D graphene-formed percolating self-sensing network is diffused in the GFRP, as shown in Figure 12(c). It can realize GW-based SHM without external installation of PZTs. Figure 12. Different types of self-sensing functional composite structures based on doping or embedding method: (a) a self-sensing composite part with embed fiber sensors and tensile test results 111 ; (b) two kinds of self-sensing GFRPs and their impact monitoring results 112 ; and (c) self-sensing functional GFRP with diffuse graphene network and printed circuits.…”
Through the integration of advanced sensors, actuators, and micro-processors, aircraft smart skin technology can improve the structural performance of aircraft and make them self-perception, self-diagnosis, self-adaptation, self-learning, and self-repair. Aircraft smart skin for structural health monitoring (SHM) is an important type of aircraft smart skin and has received extensive attention in recent years. Large-scale, lightweight, and low-power consumption are three key problems hindering the realization and engineering applications of aircraft smart skin for SHM. In view of these problems and restrictions of practical aircraft onboard applications, this article reviews the current research progress on aircraft smart skin for SHM, introduces their design, materials, manufacturing process, and monitoring principles in detail, and discusses how they study above problems from these aspects. Finally, perspectives are proposed on the opportunities and future developments of aircraft smart skin for SHM.
“…Lamb wave based structural health monitoring (SHM) has received ever increasing attention [1][2][3][4]. Lamb wave has the ability to travel a long distance and is sensitive to multiple types of damage on the surfaces as well as inside of the platelike structures [3,5].…”
By controlling the excitation time delay on each element, the conventional phased array can physically focus signals transmitted by different elements on a desired point in turn. An alternative and time-saving strategy is that every element takes turns to transmit the excitation and the remaining elements receive the corresponding response signals, which is known as the full matrix capture (FMC) method for data acquisition, and then let the signals virtually focus on every desired point by post-processing technique. In this study, based on the FMC, a dispersive multiple signal classification (MUSIC) algorithm for Lamb wave phased array is developed to locate defects. The virtual time reversal is implemented to back propagate the wave packets corresponding to the desired focusing point and a window function is adopted to adaptively isolate the desired packets from the other components. Then those wave packets are forward propagated to the original focusing point at a constant velocity. For every potential focusing point and all receivers, the virtual array focuses the signals from all transmitters so as to obtain the focusing signals. The MUSIC algorithm with the obtained focusing signals is adopted to achieve Lamb wave imaging. Benefiting from the post-processing operations, the baseline subtraction as well as the estimation for the number of the scattering sources is no longer required in the proposed algorithm. Experiments on an aluminum plate with three artificial defects and a compact circular PZT array are implemented and the results demonstrate the efficacy of the proposed algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
