A novel approach for implementing structural health monitoring systems for aerospace structures

Derriso, Mark M.; McCurry, Charles D.; Kabban, Christine M. Schubert

doi:10.1016/b978-0-08-100148-6.00002-0

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…This intrinsic dependency of SHM measurements hinders the application of traditional statistical methods to produce POD curves, which is considered the most significant barrier preventing the widespread of the SHM technology. 34 In 2008 Shook et al recognized this problem and developed a mathematical model to derive POD curves in the presence of repeated dependent data. 109 Discarding specific chunks of information might restore data independence but at the expense of compromising the effectiveness of the SHM methodology itself .…”

Section: Variability Sources In Structural Health Monitoringmentioning

confidence: 99%

“…conceptualized the Cognitive Architecture for State Exploitation (CASE), which resembles the human cognitive behavior and aims to exploit the full potential of a SHM technology, making use of its higher levels (i.e., health management of the full system). 1,34 Despite the CASE approach demonstrated to be more effective in terms of down time costs with respect the Aircraft Structural Integrity Programs (ASIP) philosophy, 35 its full potential cannot be exploited because many of its functionalities should be removed to fulfill the guidelines given in the MIL-HDBK-1823A.…”

Section: Introductionmentioning

confidence: 99%

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Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Falcetelli

Yue

Sante

et al. 2021

Structural Health Monitoring

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The successful implementation of Structural Health Monitoring (SHM) systems is confined to the capability of evaluating their performance, reliability, and durability. Although there are many SHM techniques capable of detecting, locating and quantifying damage in several types of structures, their certification process is still limited. Despite the effort of academia and industry in defining methodologies for the performance assessment of such systems in recent years, many challenges remain to be solved. Methodologies used in Non-Destructive Evaluation (NDE) have been taken as a starting point to develop the required metrics for SHM, such as Probability of Detection (POD) curves. However, the transposition of such methodologies to SHM is anything but straightforward because additional factors should be considered. The time dependency of the data, the larger amount of variability sources and the complexity of the structures to be monitored exacerbate/aggravate the existing challenges, suggesting that much work has still to be done in SHM. The article focuses on the current challenges and barriers preventing the development of proper reliability metrics for SHM, analyzing the main differences with respect to POD methodologies for NDE. It was found that the development of POD curves for SHM systems requires a higher level of statistical expertise and their use in the literature is still limited to few studies. Finally, the discussion extends beyond POD curves towards new metrics such as Probability of Localization (POL) and Probability of Sizing (POS) curves, reflecting the diagnosis paradigm of SHM.

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Section: Variability Sources In Structural Health Monitoringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Falcetelli

Yue

Sante

et al. 2021

Structural Health Monitoring

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“…Structural health monitoring using laser scanning devices is widely used throughout industry (Barazzetti et al , 2015) including: aerospace engineering (Derriso et al , 2016), structural engineering (Park et al , 2013), geological engineering (Scaioni et al , 2014) and archaeological surveying (Godin et al , 2010; Galeazzi et al , 2016). Structural engineers have similarly adopted workflow in determining structural integrity with pre-cast concrete structures and steel work (Zeibak-Shini et al , 2016).…”

Section: Laser Scanning Applicationsmentioning

confidence: 99%

“…Amongst the hierarchy of optoelectronic technologies available, optical laser scanners are frequently used for the rapid automation of millimetre precision measurement and reconstruction of tangible objects via processed optical signals from reflected light (Thiel and Wehr, 2004). Laser scanning applications are myriad throughout a disparate range of industries, including: aerospace for structural health monitoring (Derriso et al , 2016); law enforcement for virtual crime scene reconstruction (Buck et al , 2013); agriculture for crop growth monitoring (Cointault et al , 2016); archaeology for re-constructing archaeological artefacts (Galeazzi et al , 2016); and manufacturing industries for quality assurance purposes (Godin et al , 1994; Mello and Stemmer, 2016). Given this strong demand, the laser scanning industry’s value is forecast to exceed USD5.90 billion by 2022 (Markets, 2016).…”

Section: Introductionmentioning

confidence: 99%

Vision and advocacy of optoelectronic technology developments in the AECO sector

Pärn

Edwards

2017

Built Env Proj and Ass Man

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Purpose: This research presents a literature review of laser scanning and 3D modelling devices, modes of delivery and applications within the architecture, engineering, construction and owner-operated (AECO) sector. Such devices are inextricably linked to modern digital built environment practices, particularly when used in conjunction with as-built building information modelling (BIM) development. The research also reports upon innovative technological advancements (such as machine vision) that coalesce with 3D scanning solutions. Design: A synthesis of literature is used to develop: a hierarchy of the modes of delivery for laser scan devices; a thematic analysis of 3D terrestrial laser scan technology applications; and a componential cross-comparative tabulation of laser scan technology and specifications. Findings: Findings reveal that the costly and labour intensive attributes of laser scanning devices have stimulated the development of hybrid automated and intelligent technologies to improve performance. Such developments are set to satisfy the increasing demand for digitisation of both existing and new buildings into BIM. Future work proposed will seek to: review what coalescence of digital technologies will provide an optimal and cost effective solution to accurately reconstructing the digital built environment; conduct case studies that implement hybrid digital solutions in pragmatic facilities management scenarios to measure their performance and user satisfaction; and eliminate manual remodelling tasks (such as point cloud reconstruction) via the use of computational intelligence algorithms integral within cloud based BIM platforms.Originality: Although laser scanning and 3D modelling have been widely covered en passant within the literature, scant research has conducted an holistic review of the technology, its applications and future developments. This review presents concise and lucid reference guidance that will intellectually challenge, and better inform, both practitioners and researchers.

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“…Piezoelectric materials are commonly used in this frame as both signal generating elements as well as sensors [ 14 , 15 ]. Guided waves are widely used for on-site or laboratory testing and the inspection of composite structures [ 16 , 17 ], as well as for the detection of crack initiation and growth in metallic structures of airplanes [ 18 ]. However, this method usually requires, a specific arrangement of the sensor array [ 19 ] and there are significant challenges in terms of the respective signal processing and extraction.…”

Section: Introductionmentioning

confidence: 99%

Energy Harvesting Technologies for Structural Health Monitoring of Airplane Components—A Review

Zelenika

Hadaš

Bader

et al. 2020

Sensors

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With the aim of increasing the efficiency of maintenance and fuel usage in airplanes, structural health monitoring (SHM) of critical composite structures is increasingly expected and required. The optimized usage of this concept is subject of intensive work in the framework of the EU COST Action CA18203 “Optimising Design for Inspection” (ODIN). In this context, a thorough review of a broad range of energy harvesting (EH) technologies to be potentially used as power sources for the acoustic emission and guided wave propagation sensors of the considered SHM systems, as well as for the respective data elaboration and wireless communication modules, is provided in this work. EH devices based on the usage of kinetic energy, thermal gradients, solar radiation, airflow, and other viable energy sources, proposed so far in the literature, are thus described with a critical review of the respective specific power levels, of their potential placement on airplanes, as well as the consequently necessary power management architectures. The guidelines provided for the selection of the most appropriate EH and power management technologies create the preconditions to develop a new class of autonomous sensor nodes for the in-process, non-destructive SHM of airplane components.

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A novel approach for implementing structural health monitoring systems for aerospace structures

Cited by 12 publications

References 4 publications

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Vision and advocacy of optoelectronic technology developments in the AECO sector

Energy Harvesting Technologies for Structural Health Monitoring of Airplane Components—A Review

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