The Continuous Monitoring of the Health of Composite Structure

Masango, Thubalakhe Patrick; Philander, Oscar; Msomi, Velaphi

doi:10.1155/2018/8260298

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…Masango et al (2018) in their report focused on instant structural health monitoring system (SHM). This is also in situ technique.…”

Section: Literature Surveymentioning

confidence: 99%

Investigation of crack in beams using anti-resonance technique and FEA approach

Bhaurkar¹,

Thakur²

2019

JEDT

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Purpose In the case of machines, structures and assemblies, the crack generation and propagation is becoming a great concern, especially in airplane wings, turbine blades and such other applications. This is because these parts are very large in size and the crack size is very small, i.e. in microns. Hence, there is an important need to locate the crack and to find its severity before it starts to propagate and also to detect these parameters by on-site non-destructive testing methods. This paper aims to develop and test the methodology to locate an unknown single open crack in steel cantilever beam along with its severity. Design/methodology/approach This study covers analytical, numerical and experimental analysis for healthy and cracked beams. Vibration-based approach and finite element analysis (FEA) approach is used for analytical and numerical study respectively. Own designed and dedicated experimental set-up is used for testing purpose along with fast fourier transform analyzer. An anti-resonance technique is used to locate and to find the severity of unknown crack. The statistical approach helps to validate the results. Findings The comparison of the natural frequency of healthy and cracked steel cantilever beam shows that the crack in the beam reduces its natural frequency. The accuracy of results is achieved by finding actual density and Young's modulus of steel specimen under consideration. It is helpful to verify the health of the non-cracked beam by applying dye testing. The study of natural frequency and anti-resonance gives the location of crack and its depth also. The FEA approach proved to be an important tool for numerical analysis of cracked beam. Research limitations/implications The research is limited to steel material and surface cracks only. Practical implications Practically, this study highlights how to locate a surface crack in steel beam along with its depth, i.e. severity with great accuracy. Identification of the factors such as location and depth of a crack provide the severity of damage in airplane wings, turbine blades, bridges and many more, and thereby, it helps in safety at working vicinity. Social implications The identification and solutions of current research helps to predict the operational life of machine elements such as airplane wings, turbine blades, bridges and many more, and thereby, it helps in the safety of people in working vicinity of such structures. Originality/value The work presented, is based on original research and experimentation. This work is valued contribution in the field of methodologies applied for fault detection in structures and also determining its correctness by numerical and experimental work.

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“…Masango et al (2018) in their report focused on instant structural health monitoring system (SHM). This is also in situ technique.…”

Section: Literature Surveymentioning

confidence: 99%

Investigation of crack in beams using anti-resonance technique and FEA approach

Bhaurkar¹,

Thakur²

2019

JEDT

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“…There are a variety of sensors that are suitable for structural sensing applications, such as foil strain gauge (FSG), optical fibre sensor (OFS), micro-electro-mechanical systems (MEMS), and electromagnetic sensors. 8 Among all, OFSs because of their small footprint, lightweight, and multiplex ability are favourable for embedded internal sensing applications. Further, they have additional advantages such as their ability to measure multi parameters, both strains and temperature, dielectric in nature, low signal attenuation, and ease of installation and operation.…”

Section: Introductionmentioning

confidence: 99%

Mechanical and optical performance evaluations of embedded polyimide and PEEK coated distributed optical sensors in glass fibre reinforced composites with vinyl ester resin systems

Nagulapally

Shamsuddoha

Herath³

et al. 2023

Journal of Composite Materials

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Embedded optical fibre sensors (OFSs) offer the potential to monitor the internal strains at various stages during the manufacturing and service life of fibre-reinforced polymer (FRP) composite structures. Various aspects associated with the embedment of OFSs, such as integration, material compatibility, and sensing performance of the embedded sensor needs to be investigated to develop reliable OFSs based internal sensing platform for composite structures. In this study, Polyimide (PI) and Polyether ether ketone (PEEK) coated optical fibres (OF) were embedded into glass fibre-reinforced polymer (GFRP) composites to evaluate four important aspects associated with the embedment of OFs, which include; i). Structural integrity of the OFs against chemical reactions from vinyl ester resin and its additives through immersion testing, ii). Methods of integrating the OFs into layered glass fibres for the vacuum resin infusion manufacturing process, iii). Sensing performance of the embedded OFs during manufacturing and structural testing (tensile and compressive), and iv). Internal structural integrity of the embedded OFs and the host composite structure using X-Ray micro-computerised tomography technique (μ-CT). The results from the immersion testing and manufacturing process monitoring showed that both PEEK and PI coated OFs can resist the chemical and mechanical stresses caused by resin polymerisation during curing process. The subsequent mechanical testing showed a similar sensing performance by the PI and PEEK coated OFs. Under tensile loads, the OFs monitored the tensile strain distribution up to 7,000 με and compressive strain distribution up to −1,200 με under flexural loading without compromising their optical performance. Finally, the μ-CT scanning results had shown a minimal structural deterioration of the embedded OFs and host composite structure. The outcomes from this detailed experimental investigation on the embedment of OFS in GFRP structures provided useful information towards the integration and performance of optical sensors in composite structures.

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“…This has necessitated the requirement of detection of location and assessing severity of damage in the composites at an early stage. 2 Delamination or debonding of adjoining plies is one of the most critical failure mechanisms in laminated fiberreinforced polymer matrix composites, and is also one of the key factors which differentiate composites behavior from metallic structures. 3 Delamination always proceeds in a subtle way with harmful effects as it can easily escape from detection since they are frequently embedded within the composite structures.…”

Section: Introductionmentioning

confidence: 99%

“…This has necessitated the requirement of detection of location and assessing severity of damage in the composites at an early stage. 2…”

Section: Introductionmentioning

confidence: 99%

Vibration-based delamination evaluation in GFRP composite beams using ANN

Sreekanth

Senthilkumar

Reddy

2021

Polymers and Polymer Composites

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Delamination is definitely an important topic in the area of composite structures as it progressively worsens the mechanical performance of fiber-reinforced polymer composite structures in its service period. The detection and severity analysis of delaminations in engineering areas like the aviation industry is vital for safety and economic considerations. The existence of delaminations varies the vibration characteristics such as natural frequencies, mode shapes, etc. of composites and hence this indication can be effectively used for locating and quantifying the delaminations. The changes in vibration characteristics are considered as inputs for the inverse problem to determine the location and size of delaminations. In this paper Artificial Neural Network (ANN) is used for delamination evaluationof glass fiber-reinforced composite beams using natural frequency as typical vibration parameter. The Finite Element Analysis is used for generating the required dataset for ANN. The frequency-based delamination prediction technique is validated by finite element models and experimental modal analysis. The results indicate that the ANN-based back propagation algorithm can predict the location and size of delaminations in composites with good accuracy for numerical natural frequency data but the accuracy is comparitivelyless for experimental natural frequency data.

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The Continuous Monitoring of the Health of Composite Structure

Cited by 7 publications

References 28 publications

Investigation of crack in beams using anti-resonance technique and FEA approach

Investigation of crack in beams using anti-resonance technique and FEA approach

Mechanical and optical performance evaluations of embedded polyimide and PEEK coated distributed optical sensors in glass fibre reinforced composites with vinyl ester resin systems

Vibration-based delamination evaluation in GFRP composite beams using ANN

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