Guest Editorial: Recent Advances in Non-destructive Testing Methods

Tosti, Fabio; Alani, Amir M.; Benedetto, Andrea; Loizos, Andreas; Soldovieri, Francesco

doi:10.1007/s10712-020-09592-7

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…where the higher the membership degree becomes, the more x belongs to F. Although the fuzzy set theory is potentially an effective tool for the NDE data fusion applications, 71,113 there are currently a few studies reporting on the application of this algorithm for the NDE data fusion and where there are, they are largely limited to the SHM of the civil engineering structures 17,63 and geoscience engineering applications. 114 In the examples described in reference, 113 the authors used the fuzzy integral (i.e., Sugeno integral) to obtain optimized outputs of the NNs, and the formulation of their algorithm's original prototype was outlined in references. 115,116 Additional applications using the fuzzy set theory are also presented in reference 117 where the outputs of each classifier are combined via the fuzzy integral algorithm.…”

Section: Fuzzy Set Theorymentioning

confidence: 99%

“…It is noted that the general premise of the fuzzy set theory F ⊆ X is defined by the gradual membership function μ F ( x ) in a fixed interval [0,1] as presented below:

μ_{F} ((), x) \in ([], 0, 1) \forall x \in X

where the higher the membership degree becomes, the more x belongs to F . Although the fuzzy set theory is potentially an effective tool for the NDE data fusion applications, 71,113 there are currently a few studies reporting on the application of this algorithm for the NDE data fusion and where there are, they are largely limited to the SHM of the civil engineering structures 17,63 and geoscience engineering applications 114 . In the examples described in reference, 113 the authors used the fuzzy integral (i.e., Sugeno integral) to obtain optimized outputs of the NNs, and the formulation of their algorithm's original prototype was outlined in references 115,116 .…”

Section: Fusion Algorithms/approaches For Nde Data and Related Fusion...mentioning

confidence: 99%

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Critical insights into the state‐of‐the‐art NDE data fusion techniques for the inspection of structural systems

Nsengiyumva

Zhong

Luo

et al. 2021

Structural Contr & Hlth

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In recent years, the demand for reliable and accurate nondestructive evaluation (NDE) of structural systems has been growing and several nondestructive testing (NDT) techniques are being combined to address the issues of uncertainty in the testing results. However, the synergistic combination of multiple NDT techniques and the interpretation of the testing results require the ability to process and analyze data from several sources, a process that is referred to as "data fusion." The latter has received considerable attention since the beginning of the 21st century, thanks to the advances in sensor technologies and data acquisition systems. Also, the new era of "Big Data" where heterogeneous data are measured by different sensors and processed for a unified purpose is another factor contributing to this rapid development and the establishment of new NDT opportunities. This article reviews the recent studies involving NDE data fusion for the inspection of structures and examines the state-of-the-art mathematical expressions used in different fusion algorithms. Challenges in the handling of the NDE data and the application of fusion algorithms are also identified and discussed. A generic framework of applying NDE data fusion is described, and a roadmap for potential research prospects in NDE data fusion is provided.data fusion, diagnostic and prognostic health monitoring (DPHM), multisensor fusion and integration (MFI), nondestructive evaluation (NDE), structural health monitoring (SHM), structural systems | INTRODUCTIONEngineering structures are manufactured through multivariable processes and can easily develop defects during the manufacturing process and suffer from various issues (e.g., inappropriate usages, progressive aging, impact damage, excessive loading, and natural hazards such as earthquakes, hurricanes, etc.) during their service life. 1,2 To this end, several nondestructive evaluation (NDE) techniques have been devised (e.g., ultrasonic testing, infrared thermography, terahertz spectrometry, and imaging) to inspect these structures and their corresponding components to ensure they are free from defects and that their structural integrity is maintained throughout their service life. [1][2][3][4] At the manufacturing stage, NDE determines the structure's fitness to accomplish its intended function, and during the service stage, it determines the structure's health status, monitors the damage mechanism,

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Section: Fuzzy Set Theorymentioning

confidence: 99%

“…It is noted that the general premise of the fuzzy set theory F ⊆ X is defined by the gradual membership function μ F ( x ) in a fixed interval [0,1] as presented below:

μ_{F} ((), x) \in ([], 0, 1) \forall x \in X

Section: Fusion Algorithms/approaches For Nde Data and Related Fusion...mentioning

confidence: 99%

Critical insights into the state‐of‐the‐art NDE data fusion techniques for the inspection of structural systems

Nsengiyumva

Zhong

Luo

et al. 2021

Structural Contr & Hlth

View full text Add to dashboard Cite

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“…New investigations have recently emerged with the aim of defining novel algorithms, methods and surveying procedures for the integration of multi-source, multi-resolution and multi-temporal information. A major advantage of this approach is in the provision of additional information that is not available when technologies are used individually [17][18][19]. This paper is organised as follows: an introduction is given in Section 1, followed by an overview of significant stand-alone applications of satellite remote sensing and ground-based NDT methods for infrastructure monitoring (Section 2).…”

Section: Introductionmentioning

confidence: 99%

Satellite Remote Sensing and Non-Destructive Testing Methods for Transport Infrastructure Monitoring: Advances, Challenges and Perspectives

et al. 2023

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High-temporal-frequency monitoring of transport infrastructure is crucial to facilitate maintenance and prevent major service disruption or structural failures. Ground-based non-destructive testing (NDT) methods have been successfully applied for decades, reaching very high standards for data quality and accuracy. However, routine campaigns and long inspection times are required for data collection and their implementation into reliable infrastructure management systems (IMSs). On the other hand, satellite remote sensing techniques, such as the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) method, have proven effective in monitoring ground displacements of transport infrastructure (roads, railways and airfields) with a much higher temporal frequency of investigation and the capability to cover wider areas. Nevertheless, the integration of information from (i) satellite remote sensing and (ii) ground-based NDT methods is a subject that is still to be fully explored in civil engineering. This paper aims to review significant stand-alone and combined applications in these two areas of endeavour for transport infrastructure monitoring. The recent advances, main challenges and future perspectives arising from their mutual integration are also discussed.

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“…The main limitations from a stand-alone use of these technologies can be the difference in the multi-scale source of respective datasets, the multi-temporal and the multi-spatial resolution required for the monitoring of infrastructures, a relatively limited land coverage linked with main constraints from specific working principles; the limited repeatability of measurements in time, and the high costs of monitoring at the network level [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis

Gagliardi

Ciampoli

Trevisani

et al. 2021

Sensors

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Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (r = 0.94), the multiple R-squared coefficient (R2 = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs).

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Guest Editorial: Recent Advances in Non-destructive Testing Methods

Cited by 6 publications

References 11 publications

Critical insights into the state‐of‐the‐art NDE data fusion techniques for the inspection of structural systems

Critical insights into the state‐of‐the‐art NDE data fusion techniques for the inspection of structural systems

Satellite Remote Sensing and Non-Destructive Testing Methods for Transport Infrastructure Monitoring: Advances, Challenges and Perspectives

Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis

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