4.6 Review

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

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Phased array ultrasonic inspection and automated identification of wrinkles in laminated composites

Haiyan Zhang et al.

Summary: This paper proposes a method that combines phased array ultrasonic inspection and deep learning to detect and localize wrinkles in laminated composites. A convolutional neural network model is established to recognize wrinkles at different depths using the short-time Fourier transform of waveforms. The model training is accelerated through simulation in PZFlex, and achieves high accuracy in training and testing. This method simplifies the analysis of low signal to noise ratio, non resonance matching, and near field effect in ultrasonic inspection of composites, providing a reliable basis for efficient wrinkle detection automatically.

COMPOSITE STRUCTURES (2022)

Article Mechanics

FEM-assisted shearography with spatially modulated heating for non-destructive testing of thick composites with deep defects

Nan Tao et al.

Summary: This study aims to improve shearography non-destructive testing of deep defects in thick composites with thermal loading. The proposed spatially modulated heating method has been shown to enhance the detection of deep defects compared to conventional global heating. The finite element method has been used to simulate and experimentally evaluate the efficacy of both heating methods. The results demonstrate that the spatially modulated heating method can significantly improve the detection of deep defects in thick composites.

COMPOSITE STRUCTURES (2022)

Review Computer Science, Interdisciplinary Applications

Aircraft visual inspection: A systematic literature review

Yuri D. V. Yasuda et al.

Summary: This paper provides a systematic literature review of methods and techniques used in aircraft visual inspection, highlighting the deficiencies and potential for automation. It also presents a complete methodology for future investigations in this area.

COMPUTERS IN INDUSTRY (2022)

Article Engineering, Civil

A Hilbert transform sensitivity-based model-updating method for damage detection of structures with closely-spaced eigenvalues

Sahar Hassani et al.

Summary: A novel method is proposed for damage detection of structures with closely-spaced eigenvalues. The method uses Empirical Mode Decomposition (EMD) algorithm and sensitivity-based model updating equation to update the damage indices of the structure.

ENGINEERING STRUCTURES (2022)

Article Engineering, Electrical & Electronic

Real-Time Inspection in Detection Magnetic Flux Leakage by Deep Learning Integrated with Concentrating Non-Destructive Principle and Electromagnetic Induction

Nallamilli P. G. Bhavani et al.

Summary: This research introduces a novel technique in real-time detection of MFL using deep learning architectures, which strengthens quantitative analysis of magnetic flux leakage by extracting and analyzing MFL signals.

IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE (2022)

Article Engineering, Mechanical

Unbalanced, cracked, and misaligned rotating machines: a comparison between classification procedures throughout the steady-state operation

Nima Rezazadeh et al.

Summary: This article compares two intelligent methods for automatic detection of faults in rotary machines. The finite element method is utilized to model the faults and calculate the vibrational responses. Different types of features and machine learning classifiers are used for classification, and a novel approach based on convolution neural networks and persistence spectra is proposed. The results show that the proposed approach provides more accurate results compared to other classifiers.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2022)

Article Materials Science, Characterization & Testing

Deep learning in automated ultrasonic NDE - Developments, axioms and opportunities

Sergio Cantero-Chinchilla et al.

Summary: This paper reviews the state-of-the-art of autonomous ultrasonic NDE enabled by DL methodologies. By placing DL methods in the context of general NDE automation levels, this paper aims to provide a roadmap for future research and development in the area.

NDT & E INTERNATIONAL (2022)

Article Chemistry, Analytical

Split Ring Resonator Network and Diffused Sensing Element Embedded in a Concrete Beam for Structural Health Monitoring

Erika Pittella et al.

Summary: This study proposes two different and integrated sensors for structural health monitoring of concrete beams, one for diffuse monitoring throughout the whole beam length, and the other for punctual monitoring and localization of cracks.

SENSORS (2022)

Article Construction & Building Technology

Energy-aware versatile wireless sensor network configuration for structural health monitoring

Xiao-Han Hao et al.

Summary: In this paper, a sensor network configuration optimization approach is proposed to design informative and energy-efficient wireless sensor networks. The approach determines the optimal locations of cluster heads and the base station to enhance energy efficiency, and utilizes a holistic measure to assess the overall performance of multitype sensing devices.

STRUCTURAL CONTROL & HEALTH MONITORING (2022)

Article Green & Sustainable Science & Technology

Development and Implementation of Cement-Based Nanocomposite Sensors for Structural Health Monitoring Applications: Laboratory Investigations and Way Forward

A. K. Roopa et al.

Summary: This study develops cement-based nanocomposite sensors that can detect damage autonomously and monitor the response of structural components in real-time. These sensors exhibit high strength, large elastic modulus, and piezo resistivity properties, making them suitable for structural health monitoring applications.

SUSTAINABILITY (2022)

Article Materials Science, Multidisciplinary

A modelling technique to investigate the effects of quasi-static loads on guided-wave based structural health monitoring systems

Donato Perfetto et al.

Summary: This study proposes a numerical model based on the finite element approach to investigate the effects of the initial stress-strain state on guided-wave propagation mechanisms. A blended winglet of a general aviation aircraft is used as a case study to evaluate the methodology.

FORCES IN MECHANICS (2022)

Proceedings Paper Computer Science, Theory & Methods

Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring

Emanuele Parisi et al.

Summary: This paper presents an experimental evaluation of the performance of representative MEMS devices for SHM applications, demonstrating that MEMS accelerometers can replace expensive piezo accelerometers and achieve significant energy savings while maintaining good performance in damage detection.

PROCEEDINGS OF 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0&IOT) (2022)

Review Computer Science, Information Systems

Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art

Raffaele Zinno et al.

Summary: This article focuses on how artificial intelligence can be used to enhance data-driven structural health monitoring (SHM) systems for bridges in the age of the smart city, emphasizing the advantages, challenges, and existing approaches of AI in this field. The study suggests that AI will play a significant role in future bridge health monitoring systems.

IEEE ACCESS (2022)

Review Construction & Building Technology

Application of Nondestructive Testing Technology in Quality Evaluation of Plain Concrete and RC Structures in Bridge Engineering: A Review

Yuanxun Zheng et al.

Summary: This study summarized the development and application of nondestructive testing technology for prestressed reinforced concrete structures in infrastructure construction, analyzed and compared various detection methods and their advantages and disadvantages, providing technical reference for further research and application of nondestructive testing technologies.

BUILDINGS (2022)

Article Acoustics

Analysis of Sensitivity of Distance between Embedded Ultrasonic Sensors and Signal Processing on Damage Detectability in Concrete Structures

Joyraj Chakraborty et al.

Summary: Damage detection of reinforced concrete structures is crucial for safety issues. Traditional methods have limitations, while embedded ultrasonic method shows better performance.

ACOUSTICS (2022)

Article Construction & Building Technology

Designing a Structural Health Monitoring System Accounting for Temperature Compensation

Valeria Francesca Caspani et al.

Summary: This paper proposes a framework for evaluating the effectiveness of a structural health monitoring system, taking temperature compensation into account. It is applied to the design process of civil infrastructure structures and provides an equation to estimate the expected uncertainty of long-term response trend. The approach was validated on a real-life case study and found to be consistent with the actual uncertainty estimated based on monitoring data.

INFRASTRUCTURES (2022)

Article Optics

Sensitive quantum tiltmeter with nanoradian resolution

Jie Liu et al.

Summary: This study demonstrates a quantum tiltmeter based on atom interferometry for precise measurement of crustal deformation. By utilizing a special beam configuration, this tiltmeter achieves high sensitivity and resolution, and successfully observes Earth tilt tide.

PHYSICAL REVIEW A (2022)

Article Architecture

Wireless Sensor Networks for Continuous Structural Health Monitoring of Historic Masonry Towers

Paolo Barsocchi et al.

Summary: The recent developments of micro-electro-mechanical systems and wireless sensor networks have enabled the cost-effective and small-size sensors for continuous monitoring of civil structures. Despite the growing interest in continuous monitoring, many questions remain open about the sensitivity of measurement devices, the optimization of sensors, the energy efficiency of the network, and the development of algorithms for real-time data analysis.

INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE (2021)

Article Computer Science, Artificial Intelligence

Weld defect classification in radiographic images using unified deep neural network with multi-level features

Lu Yang et al.

Summary: A unified deep neural network with multi-level features is proposed for weld defect classification, achieving an improved accuracy of 3.18% and 4.33% on the test dataset compared to other methods. The study also investigates pre-training and fine-turning strategies for better generalization performance with small datasets.

JOURNAL OF INTELLIGENT MANUFACTURING (2021)

Review Computer Science, Interdisciplinary Applications

Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review

Majdi Flah et al.

Summary: Machine learning algorithms have gained great interest in the field of Structural Health Monitoring for their ability to efficiently detect damage in civil engineering structures. This systematic review categorizes the diverse ML algorithms into vibration-based SHM and image-based SHM, providing detailed analysis and recommendations for future research.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

Article Engineering, Multidisciplinary

High transfer coefficient niobium nano-SQUID integrated with a nanogap modulation flux line

Zhong Qing et al.

Summary: This paper presents a study on a Dayem-type niobium nano-SQUID with high energy sensitivity and spatial resolution. The non-hysteretic temperature range of the nano-SQUID is about 1.4 K, and the maximal transfer coefficient is 8.53 mV/phi(0).

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

Review Engineering, Civil

A systematic review of convolutional neural network-based structural condition assessment techniques

Sandeep Sony et al.

Summary: With recent advancements in non-contact sensing technology, there has been a significant growth in deep learning-based condition assessment techniques for structural systems, primarily relying on convolutional neural networks (CNNs). Researchers have developed various CNN architectures to adapt to different conditions and improve the detection and analysis of structural damage. These techniques have been applied in infrastructure monitoring and maintenance.

ENGINEERING STRUCTURES (2021)

Article Mechanics

A novel electromagnetic nondestructive testing method for carbon fiber reinforced polymer laminates based on power loss

Wu Dehui et al.

Summary: The novel CFRP non-destructive testing method proposed in this paper utilizes a working frequency up to 750 kHz to detect cracks and fiber distribution, with a good signal-to-noise ratio.

COMPOSITE STRUCTURES (2021)

Article Engineering, Multidisciplinary

Development of a CNN edge detection model of noised X-ray images for enhanced performance of non-destructive testing

Zimu Xiao et al.

Summary: The study proposes an improved edge detection model using CNN and a Laplacian filter, which successfully detects fuzzy defects in noisy X-ray images. Experimental results show that noisy training datasets effectively enhance the model's noise resistance in edge detection tasks, while the quality of training images significantly impacts the model's performance.

MEASUREMENT (2021)

Article Engineering, Multidisciplinary

A metrological approach to the time of flight diffraction method (ToFD)

R. C. Mayworm et al.

Summary: This paper compares the applications of pulse-echo and ToFD methods in NDT, finding that the pulse-echo method is more effective in detecting discontinuities, while ToFD is more accurate in determining defect height.

MEASUREMENT (2021)

Article Engineering, Multidisciplinary

Experimental comparison of acoustic emission sensors in the detection of outer race defect of angular contact ball bearings by artificial neural network

A. Meserkhani et al.

Summary: Three different types of acoustic emission sensors were applied to detect outer race defects of angular contact ball bearings in this research. Different features and parameters were extracted from the signals for identifying healthy and faulty states with the help of an artificial neural network. The results showed that all three sensors could be useful in diagnosing faults with the right selection of parameters.

MEASUREMENT (2021)

Article Engineering, Multidisciplinary

Optimal design of remote field eddy current testing probe for ferromagnetic pipeline inspection

Saibo She et al.

Summary: This paper introduces a method of introducing a shielding plate and a ferromagnetic ring in remote field eddy current (RFEC) nondestructive testing, and finite element method analysis shows that introducing a shielding plate between the excitation coil and the detection coil can shorten the distance between them, while introducing a ferromagnetic ring can enhance the detected signal, providing a direction for the structural optimization of RFEC testing devices.

MEASUREMENT (2021)

Article Engineering, Mechanical

An ultrasonic visualization system using a fiber-optic Bragg grating sensor and its application to damage detection at a temperature of 1000 °C

Fengming Yu et al.

Summary: This study developed a laser ultrasonic visualization system with a heat-resistant fiber-optic Bragg grating sensing configuration, enabling stable ultrasonic measurement and damage identification in high-temperature environments.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Review Chemistry, Analytical

Sensors for Structural Health Monitoring of Agricultural Structures

Chrysanthos Maraveas et al.

Summary: Diagnosing the health of agricultural structures is crucial for detecting damages, with various sensors employed for real-time monitoring and notable improvements seen with technological progress. However, challenges such as inconsistent installation, technical constraints, and preference for traditional methods need to be addressed.

SENSORS (2021)

Article Engineering, Electrical & Electronic

FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure

Janis Braunfelds et al.

Summary: This article focuses on the research of fiber Bragg grating (FBG) optical temperature and strain sensor applications in road structural health monitoring (SHM). Through experimental work, it was found that data collected from these sensors can be used to evaluate and predict the pavement structure's lifespan, providing guidance for future road design, use, and maintenance.

JOURNAL OF SENSORS (2021)

Article Construction & Building Technology

The post-installed screw pull-out test: Development of a method for assessing in-situ concrete compressive strength

Salam Al-Sabah et al.

Summary: The paper presents a novel in-situ test method called the PSP test for assessing the compressive strength of concrete. This method utilizes a partially destructive technique involving the extraction of an oversized screw from a predrilled hole in hardened concrete to determine concrete strength. The study shows high correlation between the PSP test results and compressive strength in mortar, suggesting its potential use for strength assessment, although further research is needed to confirm its applicability in concrete.

JOURNAL OF BUILDING ENGINEERING (2021)

Review Chemistry, Physical

Near-Infrared-Responsive Photocatalysts

Yi Yang et al.

Summary: Expanding light absorption to the near-infrared region is crucial in photocatalysis; NIR-responsive photocatalysts can utilize diffuse solar energy; This study summarizes recent progress and different photocatalytic systems.

SMALL METHODS (2021)

Article Engineering, Electrical & Electronic

Defect Detection Capabilities of Pulse Compression Based Infrared Non-Destructive Testing and Evaluation

Geetika Dua et al.

Summary: Infrared Thermography is widely used for non-destructive testing and evaluation, with advantages like superior test resolution and sensitivity. Among various methods, pulse compression favorable frequency modulated thermal wave imaging approach is more economical and reliable for defect detection in materials.

IEEE SENSORS JOURNAL (2021)

Article Engineering, Electrical & Electronic

Investigation of DC Electromagnetic-Based Motion Induced Eddy Current on NDT for Crack Detection

Fei Yuan et al.

Summary: This article investigates the motion induced eddy current (MIEC) in DC electromagnetic nondestructive testing, revealing the relationship between crack depth/width and detection signals and proposing a quantitative characterization method for cracks. The study shows that the dragging effect in DC electromagnetic NDT is related to the rate of MIEC diffusion time, and crack depth/width can be quantitatively characterized by peak separation and differential value. The DC electromagnetic based on MIEC can be used not only for crack detection in moving ferromagnetic metals, but also for quantitative characterization of cracks in rapid relative motion scenarios.

IEEE SENSORS JOURNAL (2021)

Article Materials Science, Characterization & Testing

Novel non-destructive technique for detecting the weld fusion zone using a filler wire of high x-ray contrast

J. Galos et al.

Summary: This study demonstrates a novel method that provides contrast between the Al substrate and weld fusion zone in x-ray images by incorporating a dopant element in the filler wire with a higher x-ray attenuation coefficient. This technique enables the detection of penetration depth and weld throat more accurately than conventional methods.

NDT & E INTERNATIONAL (2021)

Article Engineering, Electrical & Electronic

Design and analysis of fiber Bragg grating sensor to monitor strain and temperature for structural health monitoring

Ishant Dhingra et al.

Summary: This paper proposes a Bragg grating based sensor to monitor the health of civil structures at different temperatures. By increasing the number of gratings and selecting suitable refractive index, the sensitivity of the fiber Bragg grating sensor is enhanced, successfully studying the analysis of Bragg wavelength with respect to load and temperature. Simulation results show a linear shift in Bragg wavelength when independently increasing strain or temperature, as well as a directly proportional relation when increasing both strain and temperature concurrently. The results demonstrate the enhanced performance of the proposed sensor, with potential applications in civil, bio-medical, and military domains.

OPTICAL AND QUANTUM ELECTRONICS (2021)

Article Engineering, Marine

Application of embedded fibre Bragg grating sensors for structural health monitoring of complex composite structures for marine applications

Magdalena Mieloszyk et al.

Summary: This study presents an application of embedded FBG sensors arrays for evaluation of a complex composite structure - a fast patrol boat. The experimental investigations include spectra analyses for thin laminate sample, a composite sandwich panel, and the boat hull. The quality of sensors spectra and the relationship between strain and temperature were determined, with a linear relationship achieved for both elements. The utility of designed FBG sensors array was verified by sensors responses on impact excitation in chosen points on the structure.

MARINE STRUCTURES (2021)

Article Chemistry, Physical

Damage Detection in Flat Panels by Guided Waves Based Artificial Neural Network Trained through Finite Element Method

Donato Perfetto et al.

Summary: The article introduces a guided wave-based artificial neural network developed through the Finite Element Method for accurately locating damages under various scenarios, demonstrating high accuracy through comparison with experimental and analytical data.

MATERIALS (2021)

Review Chemistry, Multidisciplinary

Non-Destructive Testing Applications for Steel Bridges

Seyed Saman Khedmatgozar Dolati et al.

Summary: With the increasing population and demand for surface transportation, the importance of maintaining safe and reliable civil infrastructures, especially bridges, has become more critical. Periodic inspections are necessary to prevent failures caused by aging and environmental impacts, with a need for more advanced structural health monitoring methods. This review focuses on non-destructive testing methods applicable to steel bridges, with an emphasis on local damage detection and the application of innovative sensors, drones, and robots for efficient assessments.

APPLIED SCIENCES-BASEL (2021)

Article Engineering, Electrical & Electronic

Machine Learning for Anomaly Assessment in Sensor Networks for NDT in Aerospace

Ivan Kraljevski et al.

Summary: This research compared various algorithms in machine learning for anomaly assessment with ultrasonic signals recorded by sensor networks, showing that accurate anomaly detection is feasible.

IEEE SENSORS JOURNAL (2021)

Article Materials Science, Multidisciplinary

Non-Destructive Evaluation of Coating Thickness Using Water Immersion Ultrasonic Testing

Jiannan Zhang et al.

Summary: Coatings play a crucial role in preventing corrosion on ships or marine structures, with thickness impacting their effectiveness. Ultrasonic NDT is a convenient method for measuring underwater coating thickness, but the high energy attenuation and absorption rates in offshore coatings present challenges. Despite these difficulties, accurately measuring the thickness using ultrasonic methods has proven effective and versatile for various objects in water environments.

COATINGS (2021)

Article Engineering, Multidisciplinary

Research on non-destructive testing technology of hydraulic engineering based on improved ALO algorithm and wireless network

Chenghua Fu et al.

Summary: The paper explains the importance of the anti-seepage wall project for the anti-seepage system of water conservancy and hydropower projects, introduces the application of wireless communication GPRS technology, and the network coverage optimization method based on the Antlion algorithm. The effectiveness of the method is verified through water injection tests.

ALEXANDRIA ENGINEERING JOURNAL (2021)

Article Robotics

High Dynamic Range 6-Axis Force Sensor Employing a Semiconductor-Metallic Foil Strain Gauge Combination

Ryuya Tamura et al.

Summary: This letter introduces a force sensor that combines semiconductor and metallic foil strain gauges to provide robots with force information over a higher dynamic range. The different sensitivities of the strain gauges allow for the detection of both large and small forces, leading to a dynamic range of 2x10(5), which is double the range of the previously studied 6-axis force sensor with the highest range.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Review Instruments & Instrumentation

Wireless passive surface acoustic wave (SAW) technology in gas sensing

Yong Pan et al.

Summary: This paper provides an overview of the current state of wireless passive surface acoustic wave (SAW) gas sensors used in detecting chemical vapor, discussing different architectures and potential applications. It also explores the potential future research in studying various harmful gases using wireless passive SAW sensors.

SENSOR REVIEW (2021)

Article Materials Science, Composites

A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials

Ranjeetkumar Gupta et al.

Summary: The increasing demand and diverse applications of industrial composites, combined with the limitations of current NDE methods, have driven a comprehensive review of sensing technologies. The complexity of composite materials poses challenges for evaluation, quality assurance, and defect detection. Emerging non-contact NDE techniques are explored for their potential to improve inspection capabilities and address future requirements in composite materials.

JOURNAL OF COMPOSITES SCIENCE (2021)

Article Materials Science, Composites

Damage detection of CFRP composites by electromagnetic wave nondestructive testing (EMW-NDT)

Qing-Qing Ni et al.

Summary: This study proposed a new nondestructive testing method EMW-NDT using electromagnetic wave technique, showing good detection sensitivity to damages such as delamination size and thickness in CFRP composites. With huge potential, this contactless method could be widely used in the field of damage detection for CFRP composites.

COMPOSITES SCIENCE AND TECHNOLOGY (2021)

Article Computer Science, Interdisciplinary Applications

Balanced semisupervised generative adversarial network for damage assessment from low-data imbalanced-class regime

Yuqing Gao et al.

Summary: In recent years, applying deep learning to assess structural damages in vision-based structural health monitoring has become popular. However, data deficiency and class imbalance have hindered the wide adoption of deep learning in this field. The balanced semisupervised GAN (BSS-GAN) introduced in this work shows better damage detection performance compared to conventional methods.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

Review Engineering, Civil

Sensors for process and structural health monitoring of aerospace composites: A review

Helena Rocha et al.

Summary: Structural Health Monitoring (SHM) is a promising method to overcome the unpredictable failure behavior of composite materials, enhancing their confidence in aerospace industry. This review paper focuses on the most promising sensors for SHM of aerospace composites, discussing their principles, characteristics, and applications in detail. The development of SHM systems for aerospace environment requires consideration of various factors and multidisciplinary teams for adequate development.

ENGINEERING STRUCTURES (2021)

Article Engineering, Electrical & Electronic

Structural Health Monitoring System With Narrowband IoT and MEMS Sensors

Flavio Di Nuzzo et al.

Summary: Civil infrastructure monitoring is crucial for tracking aging and damages to prevent severe failures. A low-cost wireless sensor node has been proposed to support long-term modal analysis with long-range connectivity and low power consumption. The design uses cost-effective MEMS accelerometers and NB-IoT protocol, achieving long-term wireless connectivity and accurate measurements.

IEEE SENSORS JOURNAL (2021)

Review Engineering, Electrical & Electronic

Piezoelectric MEMS Resonators: A Review

Gayathri Pillai et al.

Summary: Research on piezoelectric MEMS resonators has made significant progress in various fronts over the past two decades. Understanding resonator design, material selection, and performance enhancement techniques is crucial for improving the functionality of different modules.

IEEE SENSORS JOURNAL (2021)

Article Materials Science, Characterization & Testing

Automated Flaw Detection in Multi-channel Phased Array Ultrasonic Data Using Machine Learning

Oskar Siljama et al.

Summary: Modern ultrasonic inspections utilize rich data sets generated by phased array equipment to achieve efficient detection in complex cases. Convolutional neural networks have shown the capability to achieve human-level accuracy at the B-scan level, paving the way for automated flaw detection in critical applications.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2021)

Article Engineering, Multidisciplinary

3D torsional experimental strain modal analysis for structural health monitoring using piezoelectric sensors

Dattar Singh Aulakh et al.

Summary: Modal analysis is a widely used technique for structural identification, with piezoelectric sensors being progressively implemented in vibration-based monitoring. This study evaluates the performance of piezoelectric sensors in modal response measurement and structural health monitoring of 3D structures, showing enhanced sensitivity towards damage compared to accelerometers. Torsional modes perform better than bending modes for damage localization and severity quantification.

MEASUREMENT (2021)

Article Materials Science, Characterization & Testing

Rapid detection of cracks in the rail foot by ultrasonic B-scan imaging using a shear horizontal guided wave electromagnetic acoustic transducer

Songtao Hu et al.

Summary: A new method for in-situ and rapid detection of rail foot cracks using ultrasonic B-scan imaging was proposed in this study. Finite element method was employed to calculate the dispersion curves of SH-like guided waves, and a SH-guided wave EMAT was developed for crack detection. Additionally, the synchrosqueezed wavelet transform method was used to improve detection efficiency and quality of ultrasonic images.

NDT & E INTERNATIONAL (2021)

Article Engineering, Industrial

A Novel Framework for Integration of Abstracted Inspection Data and Structural Health Monitoring for Damage Prognosis of Miter Gates

Manuel A. Vega et al.

Summary: This paper presents a novel hybrid damage prognosis framework for the miter gate component of navigational locks, aiming to integrate inspection data and structural health monitoring systems to mitigate human errors in condition assessments and address challenges related to data abstraction. The framework overcomes the lack of a physical or empirical model for loss-of-contact degradation and mismatches between inspection data and SHM systems. A practical case study on monitoring loss-of-contact quoin block demonstrates the efficacy of the proposed framework.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Review Chemistry, Analytical

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiuping Ma et al.

Summary: Pipelines are crucial for transporting natural gas, petroleum, and other energy resources, but they face challenges such as environmental reactions, welding defects, and external damage. Preventive measures should be taken to ensure safe operation. Various non-destructive testing methods have been developed, along with data management for maintenance.

SENSORS (2021)

Review Instruments & Instrumentation

Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties-a review

Muthu Ram Prabhu Elenchezhian et al.

Summary: This paper comprehensively reviews the AI models developed in the field of SHM and prognostics health management of polymer matrix composites over the past few decades. It analyzes the real gaps between these developments and the nature of uncertainty, and discusses the pipeline for real-time prognostics, hybrid approaches, uncertainty quantification, and reliability standards.

SMART MATERIALS AND STRUCTURES (2021)

Article Acoustics

Simulation and performance study of circular ultrasonic array for tubes' internal inspection

Ze Xi et al.

Summary: The development and validation of a CA transducer for internal inspection of small diameter tubes demonstrated high detection sensitivity, with experimental results showing at least 0.2 mm circumferential and 0.1 mm radial detection capability.

ULTRASONICS (2021)

Article Acoustics

Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning

Mahindra Rautela et al.

Summary: The paper proposes a novel structural health monitoring method for composite structures, combining ultrasonic guided waves and machine learning technology, which utilizes physical knowledge to improve network performance. Two neural networks were trained on an experimental dataset for damage detection and localization, and a combined damage identification strategy for real-time application was proposed.

ULTRASONICS (2021)

Article Environmental Sciences

Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

Ruiqing Shen et al.

Summary: This study validated the effectiveness of ground-penetrating radar (GPR) combined with reverse time migration (RTM) algorithm in detecting and localizing rebars through experimental activities. GPR can accurately identify the quantity and positions of rebars, while RTM algorithm can assist in localizing and shaping rebars.

REMOTE SENSING (2021)

Review Energy & Fuels

Recent Advancements in Battery Management System for Li-Ion Batteries of Electric Vehicles: Future Role of Digital Twin, Cyber-Physical Systems, Battery Swapping Technology, and Nondestructive Testing

Nitika G. Panwar et al.

Summary: The increasing popularity of electric vehicles is due to the environmental impacts of gas/diesel vehicles, but challenges such as range anxiety and slow charging remain. A recent review from 2006 to 2020 examined functions, advantages, and disadvantages of battery management systems (BMS), proposing a framework for efficient BMS design. Discussions also involve deploying advanced technologies like digital-twin of battery pack and battery swapping for EV advancement.

ENERGY TECHNOLOGY (2021)

Article Engineering, Chemical

Magnetic Particle Inspection Optimization Solution within the Frame of NDT 4.0

Andreea Ioana Sacarea et al.

Summary: The importance of product and process quality on safety products in various industries is discussed in this paper, with a focus on the application of nondestructive testing methods and the development of NDT 4.0 or Smart NDT for efficient and effective detection methods. The magnetic particles inspection method and its development direction for cylindrical parts are emphasized as key points in the study.

PROCESSES (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Recommendation System for Signal Processing in SHM

Jakub Gorski et al.

Summary: This article introduces a recommendation system for processing signals, which utilizes a database and two fuzzy modules to suggest processing methods and features based on user input and contextual knowledge. The system was evaluated on a two-stage gearbox dataset, resulting in a list of recommended methods and features for more accurate data classification.

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2021), PT I (2021)

Review Engineering, Mechanical

Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges-A Review

Samir Mustapha et al.

Summary: This review emphasizes the importance of the design and implementation of sensor networks in structural health monitoring systems, highlighting the impact of sensor location and number on system integration, performance, and assessment accuracy. It discusses key parameters such as design and optimization of sensor networks, development of academic and commercial solutions, data communication, transmission, and analytics, as well as successful case studies and challenges associated with sensor networks.

VIBRATION (2021)

Proceedings Paper Materials Science, Multidisciplinary

Nonlinearity in the propagation of acoustic waves: Simulation and experimental validation in a creep damaged material

Minati Kumari Sahu et al.

Summary: A 3-D mathematical model was developed to study the nonlinear characteristics of acoustic wave propagating in a creep-damaged medium, utilizing a nonlinear material model and acoustic nonlinearity parameter calculation. The simulation results were experimentally validated, showing a significant increase in the nonlinearity parameter at the transition region from secondary to tertiary creep stage, indicating potential for localized deformation assessment prior to material failure.

MATERIALS TODAY-PROCEEDINGS (2021)

Article Chemistry, Analytical

Zeonex based decagonal photonic crystal fiber (D-PCF) in the terahertz (THz) band for chemical sensing applications

Shuvo Sen et al.

Summary: This research introduces a novel design of photonic crystal fiber for chemical sensing in the terahertz range. Through numerical analysis, the fiber demonstrates high sensitivity and low transmission losses, making it suitable for monitoring different chemicals.

SENSING AND BIO-SENSING RESEARCH (2021)

Article Construction & Building Technology

Damage Detection in Multiple RC Structures Based on Embedded Ultrasonic Sensors and Wavelet Transform

Joyraj Chakraborty et al.

Summary: This study summarizes the results of evaluating cracks in reinforced concrete structures using embedded ultrasonic sensors with the application of wavelet transform algorithm. The diffuse ultrasonic sensor methodology with the proposed algorithm is proven to be useful and effective in detecting cracks in both laboratory and real environment settings.

BUILDINGS (2021)

Article Engineering, Multidisciplinary

Failure Analysis of Heat Exchanger Using Internal Rotary Inspection System (IRIS)

Mohamed Fayas Saffiudeen et al.

Summary: Choosing between full retubing and partial retubing plays a critical role in maintenance of heat exchangers, with the right approach leading to significant cost savings and efficiency improvements. In this case study, advanced NDT strategies such as internal rotating inspection were used to identify defective tubes and determine the extent of retubing required, ultimately reducing maintenance costs and downtime while enhancing overall efficiency.

JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2021)

Article Construction & Building Technology

Real-time structural health monitoring for concrete beams: a cost-effective 'Industry 4.0' solution using piezo sensors

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Summary: This research paper utilizes advanced technologies of industry 4.0 to monitor the health of concrete beam members using cost-effective non-destructive technologies. The study demonstrates the high precision of the low-cost method, verified by LVDT measurements, as technological advancements continue to reduce implementation costs.

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Development of a vibrating wire strain gauge for measuring small strains in concrete beams

SA Neild et al.

STRAIN (2005)

Article Instruments & Instrumentation

Structural health monitoring using scanning laser vibrometry: II. Lamb waves for damage detection

L Mallet et al.

SMART MATERIALS & STRUCTURES (2004)

Article Engineering, Multidisciplinary

Analogue and digital sensor interfaces for impedance spectroscopy

J Schröder et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2004)

Article Engineering, Electrical & Electronic

New and future applications of fluxgate sensors

F Kaluza et al.

SENSORS AND ACTUATORS A-PHYSICAL (2003)

Article Materials Science, Composites

Quantitative damage detection in cross-ply laminates using Lamb wave method

N Toyama et al.

COMPOSITES SCIENCE AND TECHNOLOGY (2003)

Article Engineering, Electrical & Electronic

Structural health monitoring of smart composite materials by using EFPI and FBG sensors

J Leng et al.

SENSORS AND ACTUATORS A-PHYSICAL (2003)

Article Instruments & Instrumentation

Monitoring of the Scrovegni Chapel by IR thermography: Giotto at infrared

E Grinzato et al.

INFRARED PHYSICS & TECHNOLOGY (2002)

Article Materials Science, Composites

Characterization of fiber optic sensors for structural health monitoring

DG Lee et al.

JOURNAL OF COMPOSITE MATERIALS (2002)

Article Physics, Applied

Recent developments in SQUID NDE

HJ Krause et al.

PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS (2002)

Article Instruments & Instrumentation

Structural health monitoring of innovative bridges in Canada with fiber optic sensors

RC Tennyson et al.

SMART MATERIALS & STRUCTURES (2001)

Article Engineering, Electrical & Electronic

Holographic testing of Terahertz antennas

G Junkin et al.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2000)