Structural Health Monitoring of Large Structures Using Acoustic Emission-Case Histories

Acoustic emission (AE) techniques have successfully been used for assuring the structural integrity of large rocket motorcases since 1963 [...

Compressed Sensing for Open-ended Waveguide Non-Destructive Testing and Evaluation

Ph. D. ThesisNon-destructive testing and evaluation (NDT&E) systems using open-ended waveguide (OEW) suffer from critical challenges. In the sensing stage, data acquisition is time-consuming by raster scan, which is difficult for on-line detection. Sensing stage also disregards demand for the latter feature extraction process, leading to an excessive amount of data and processing overhead for feature extraction. In the feature extraction stage, efficient and robust defect region segmentation in the obtained image is challenging for a complex image background. Compressed sensing (CS) demonstrates impressive data compression ability in various applications using sparse models. How to develop CS models in OEW NDT&E that jointly consider sensing & processing for fast data acquisition, data compression, efficient and robust feature extraction is remaining challenges. This thesis develops integrated sensing-processing CS models to address the drawbacks in OEW NDT systems and carries out their case studies in low-energy impact damage detection for carbon fibre reinforced plastics (CFRP) materials. The major contributions are: (1) For the challenge of fast data acquisition, an online CS model is developed to offer faster data acquisition and reduce data amount without any hardware modification. The images obtained with OEW are usually smooth which can be sparsely represented with discrete cosine transform (DCT) basis. Based on this information, a customised 0/1 Bernoulli matrix for CS measurement is designed for downsampling. The full data is reconstructed with orthogonal matching pursuit algorithm using the downsampling data, DCT basis, and the customised 0/1 Bernoulli matrix. It is hard to determine the sampling pixel numbers for sparse reconstruction when lacking training data, to address this issue, an accumulated sampling and recovery process is developed in this CS model. The defect region can be extracted with the proposed histogram threshold edge detection (HTED) algorithm after each recovery, which forms an online process. A case study in impact damage detection on CFRP materials is carried out for validation. The results show that the data acquisition time is reduced by one order of magnitude while maintaining equivalent image quality and defect region as raster scan. (2) For the challenge of efficient data compression that considers the later feature extraction, a feature-supervised CS data acquisition method is proposed and evaluated. It reserves interested features while reducing the data amount. The frequencies which reveal the feature only occupy a small part of the frequency band, this method finds these sparse frequency range firstly to supervise the later sampling process. Subsequently, based on joint sparsity of neighbour frame and the extracted frequency band, an aligned spatial-spectrum sampling scheme is proposed. The scheme only samples interested frequency range for required features by using a customised 0/1 Bernoulli measurement matrix. The interested spectral-spatial data are reconstructed jointly, which has much faster speed than frame-by-frame methods. The proposed feature-supervised CS data acquisition is implemented and compared with raster scan and the traditional CS reconstruction in impact damage detection on CFRP materials. The results show that the data amount is reduced greatly without compromising feature quality, and the gain in reconstruction speed is improved linearly with the number of measurements. (3) Based on the above CS-based data acquisition methods, CS models are developed to directly detect defect from CS data rather than using the reconstructed full spatial data. This method is robust to texture background and more time-efficient that HTED algorithm. Firstly, based on the histogram is invariant to down-sampling using the customised 0/1 Bernoulli measurement matrix, a qualitative method which only gives binary judgement of defect is developed. High probability of detection and accuracy is achieved compared to other methods. Secondly, a new greedy algorithm of sparse orthogonal matching pursuit (spOMP)-based defect region segmentation method is developed to quantitatively extract the defect region, because the conventional sparse reconstruction algorithms cannot properly use the sparse character of correlation between the measurement matrix and CS data. The proposed algorithms are faster and more robust to interference than other algorithms.China Scholarship Counci

Compressive Sensing and Imaging of Guided Ultrasonic Wavefields

Structural health monitoring (SHM) and Nondestructive Evaluation (NDE) technologies can be used to predict the structural remaining useful life through appropriate diagnosis and prognosis methodologies. The main goal is the detection and characterization of defects that may compromise the integrity and the operability of a structure. The use of Lamb waves, which are ultrasonic guided waves (GW), have shown potential for detecting damage in specimens as a part of SHM or NDT systems. These methods can play a significant role in monitoring and tracking the integrity of structures by estimating the presence, location, severity, and type of damage. One of the advantages of GW is their capacity to propagate over large areas with excellent sensitivity to a variety of damage types while guaranteeing a short wavelength, such that the detectability of large structural damages is guaranteed. The Guided ultrasonic wavefield imaging (GWI) is an advanced technique for Damage localization and identification on a structure. GWI is generally referred to as the analysis of a series of images representing the time evolution of propagating waves and, possibly, their interaction with defects. This technique can provide useful insights into the structural conditions. Nowadays, high-resolution wavefield imaging has been widely studied and applied in damage identification. However, full wavefield imaging techniques have some limitations, including slow data acquisition and lack of accuracy. The objectives of this dissertation are to develop novel and high resolution Guided Wavefield Imaging techniques able to detect defects in metals and composite materials while reducing the acquisition time without losing in detection accuracy

Mechanical and electrical characterization

Carbon fiber laminates and sandwich structures are widely used due to their extraordinary mechanical performance (high specific strength, specific modulus, resistance to corrosion and resistance to fatigue), in the case of sandwiches, the high performance of the carbon laminates can be increased by the low density of the core. Besides that, carbon fiber is a conductive material, beyond its mechanical advantages, it has the potential to be used as a self-sensing material. This work aimed to analyze the use of sandwich composite structures in aircraft, to manufacture, and to study the mechanical and electrical properties of a sandwich composed of two carbon fiber faces and a structural foam core. The experimental work started with a study on the foam core, to access the impact of the adhesive curing temperature in the foam’s mechanical behavior. There was an increase on the ductility of the foam, but the flexural strength did not suffer significant changes. Posteriorly, three-point bending tests were carried out on carbon fiber laminates, with two different geometries, so compressive and tensile failures could be studied. The specimens that failed to compression showed a flexural strength of 1066.21±4.7% MPa, while the ones that failed under a flexural stress of 1238.49±7% MPa. The sandwich specimens with different adhesive bonds and geometries were tested and the short samples with reinforced bond failed to compression under a flexural stress of 100 MPa ± 5%, while the long samples showed several failure modes under a flexural stress of 86 MPa ± 7%. An electromechanical analysis was conducted to study the piezoresistive response of the sandwich skins. From this analysis was possible to show that there is indeed a relation between the electrical resistance and the applied strain.Os laminados de fibra de carbono e as estruturas em sanduíche são amplamente utilizadas devido ao seu elevado desempenho mecânico (elevada resistência específica, módulo específico, resistência à corrosão e resistência à fadiga), que no caso das sanduíches, é acrescido da baixa densidade do núcleo. Além disso, a fibra de carbono é um material condutor, portanto para além das vantagens mecânicas, este material tem o potencial de ser utilizado como um material capaz de detetar dano e deformação sem que a necessidade de sensores. Neste trabalho pretendeu-se analisar o uso de estruturas compósitas em sanduíches em aeronaves, fabricar e estudar as propriedades mecânicas e elétricas de uma sanduíche composta por duas faces de fibra de carbono e um núcleo de espuma estrutural. Na primeira fase do trabalho experimental, foi feito um estudo sobre o núcleo de espuma, com o objetivo de averiguar qual o impacto da temperatura de cura do adesivo. Houve um aumento da ductilidade do material, mas sem impactos significativos ao nível da tensão de cedência. Posteriormente, foram testados à flexão laminados de fibra de carbono, com duas geometrias de forma a serem obtidos modos de falha à compressão e à tração. Verificou-se que os laminados apresentaram um modo de dano nas fibras à compressão, para uma tensão na ordem dos 1066 MPa ± 5%, enquanto que os laminados cuja ruína ocorreu na face à tração a uma tensão na ordem dos 1238 MPa ± 7%. As amostras de sanduíches com diferentes composições adesivas e geometrias foram testadas e as de menor dimensão com reforço adesivo cederam à compressão com uma tensão máxima na ordem de 100 MPa ± 5%, enquanto que as de maior dimensão apresentaram diversos modos de falha a uma tensão na ordem dos 86 MPa ± 7%. Recorrendo a uma análise eletromecânica, foi estudada a resposta piezoresistiva dos laminados constituintes das faces das sanduíches. Desta análise foi possível demonstrar que existe efetivamente uma relação entre a resistência elétrica e a deformação do material

Brillouin distributed fiber sensors: an overview and applications

A review focused on real world applications of Brillouin distributed fiber sensors is presented in this paper. After a brief overview of the theoretical principles, some works to face the two main technical challenges (large dynamic range and higher spatial resolution) are commented. Then an overview of some real and on-field applications is done.This work has been supported by the Spanish TEC2010-20224-C02-02 Project

Characterizing the Conductivity and Enhancing the Piezoresistivity of Carbon Nanotube-Polymeric Thin Films.

The concept of lightweight design is widely employed for designing and constructing aerospace structures that can sustain extreme loads while also being fuel-efficient. Popular lightweight materials such as aluminum alloy and fiber-reinforced polymers (FRPs) possess outstanding mechanical properties, but their structural integrity requires constant assessment to ensure structural safety. Next-generation structural health monitoring systems for aerospace structures should be lightweight and integrated with the structure itself. In this study, a multi-walled carbon nanotube (MWCNT)-based polymer paint was developed to detect distributed damage in lightweight structures. The thin film's electromechanical properties were characterized via cyclic loading tests. Moreover, the thin film's bulk conductivity was characterized by finite element modeling

The Public Service Media and Public Service Internet Manifesto

This book presents the collectively authored Public Service Media and Public Service Internet Manifesto and accompanying materials.The Internet and the media landscape are broken. The dominant commercial Internet platforms endanger democracy. They have created a communications landscape overwhelmed by surveillance, advertising, fake news, hate speech, conspiracy theories, and algorithmic politics. Commercial Internet platforms have harmed citizens, users, everyday life, and society. Democracy and digital democracy require Public Service Media. A democracy-enhancing Internet requires Public Service Media becoming Public Service Internet platforms – an Internet of the public, by the public, and for the public; an Internet that advances instead of threatens democracy and the public sphere. The Public Service Internet is based on Internet platforms operated by a variety of Public Service Media, taking the public service remit into the digital age. The Public Service Internet provides opportunities for public debate, participation, and the advancement of social cohesion. Accompanying the Manifesto are materials that informed its creation: Christian Fuchs’ report of the results of the Public Service Media/Internet Survey, the written version of Graham Murdock’s online talk on public service media today, and a summary of an ecomitee.com discussion of the Manifesto’s foundations

An experimental investigation of damage detection of CFRP using an electrical resistance change method

This study investigated damage detection, location, and quantification in carbon fibre composite laminate structures