Monitoring of Carbon Fiber-Reinforced Old Timber Beams via Strain and Multiresonant Acoustic Emission Sensors

Rescalvo, Francisco J.; Valverde-Palacios, Ignacio; Suárez, Elisabet; Roldán, A.; Gallego, Antolino

doi:10.3390/s18041224

Cited by 21 publications

(16 citation statements)

References 18 publications

(24 reference statements)

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“…in solids. The frequency of AE waves in the range from a few kHz to 1 MHz is detected on the structure surface by piezoelectric sensors that convert the strain energy into an electrical signal [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

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Acoustic Emission and K-S Metric Entropy as Methods for Determining Mechanical Properties of Composite Materials

Kyzioł

Panasiuk

Hajdukiewicz

et al. 2020

Sensors

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Due to the unique properties of polymer composites, these materials are used in many industries, including shipbuilding (hulls of boats, yachts, motorboats, cutters, ship and cooling doors, pontoons and floats, torpedo tubes and missiles, protective shields, antenna masts, radar shields, and antennas, etc.). Modern measurement methods and tools allow to determine the properties of the composite material, already during its design. The article presents the use of the method of acoustic emission and Kolmogorov-Sinai (K-S) metric entropy to determine the mechanical properties of composites. The tested materials were polyester-glass laminate without additives and with a 10% content of polyester-glass waste. The changes taking place in the composite material during loading were visualized using a piezoelectric sensor used in the acoustic emission method. Thanks to the analysis of the RMS parameter (root mean square of the acoustic emission signal), it is possible to determine the range of stresses at which significant changes occur in the material in terms of its use as a construction material. In the K-S entropy method, an important measuring tool is the extensometer, namely the displacement sensor built into it. The results obtained during the static tensile test with the use of an extensometer allow them to be used to calculate the K-S metric entropy. Many materials, including composite materials, do not have a yield point. In principle, there are no methods for determining the transition of a material from elastic to plastic phase. The authors showed that, with the use of a modern testing machine and very high-quality instrumentation to record measurement data using the Kolmogorov-Sinai (K-S) metric entropy method and the acoustic emission (AE) method, it is possible to determine the material transition from elastic to plastic phase. Determining the yield strength of composite materials is extremely important information when designing a structure.

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Section: Introductionmentioning

confidence: 99%

“…The AE method is especially used to test fiber-reinforced polymer structures [ 6 , 7 , 9 , 12 , 13 , 14 , 15 , 16 , 17 ]. The AE bending test described in [ 6 ] contributed to the development of the AE signal identification methodology.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Emission and K-S Metric Entropy as Methods for Determining Mechanical Properties of Composite Materials

Kyzioł

Panasiuk

Hajdukiewicz

et al. 2020

Sensors

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“…Comparing the carbon ber-reinforced timber beam, an increase in its carrying capacity is likely to be produced which proved the good behavior of a U-shaped member with ber-reinforced plastic as well [46][47][48].…”

Section: Finite Element Analysismentioning

confidence: 93%

Numerical Analysis for U‐Shaped Thin‐Walled Structure Reinforced Timber Beam Based on Thin‐Layer Beam Theory

Liu¹,

Li³

et al. 2019

Advances in Civil Engineering

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This paper presents a theoretical model, taking into account the shear deformation subjected to the influence of U-shaped member by geometric parameters as flange height based on thin-layer beam theory, to analyze the structural bending behavior of U-shaped member reinforced timber composite beams, and the feasible design forms of U-section have been pointed out. The algorithm for this composite beam is the most practical and effective method to meet the accurate solution. The formulas for the common forms of U-section are presented. It aims to develop a rational engineering approach. The proposed model has been validated by comparing the results obtained in the present analysis with experimental results and finite element analysis. Furthermore, the results suggested that the value of flange height can be one-fifth the beam height based on the present analysis by comparison of two types of beams. And it is shown that the model provided here correlates consistently and satisfactorily with a wide range of timber beams reinforced by a thin-walled structure such as steel or aluminum alloy sheet bonded to their tension faces.

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“…Multi-resonant sensors linearly distributed along a reinforced timber beam were tested by Rescalvo et al [101] and Rescalvo et al [102]. To eliminate the effect of the attenuation, the spectral energy is corrected by empirically derived attenuation curves.…”

Section: Timber Structuresmentioning

confidence: 99%

Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring

et al. 2021

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Structural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order to develop non-destructive techniques for SHM to extend the lifespan of monitored structures. This paper will review and summarize the recent advancements in non-destructive testing techniques, namely, sweep frequency approach, ground penetrating radar, infrared technique, fiber optics sensors, camera-based methods, laser scanner techniques, acoustic emission and ultrasonic techniques. Although some of the techniques are widely and successfully utilized in civil engineering, there are still challenges that researchers are addressing. One of the common challenges within the techniques is interpretation, analysis and automation of obtained data, which requires highly skilled and specialized experts. Therefore, researchers are investigating and applying artificial intelligence, namely machine learning algorithms to address the challenges. In addition, researchers have combined multiple techniques in order to improve accuracy and acquire additional parameters to enhance the measurement processes. This study mainly focuses on the scope and recent advancements of the Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber and steel structures.

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Monitoring of Carbon Fiber-Reinforced Old Timber Beams via Strain and Multiresonant Acoustic Emission Sensors

Cited by 21 publications

References 18 publications

Acoustic Emission and K-S Metric Entropy as Methods for Determining Mechanical Properties of Composite Materials

Acoustic Emission and K-S Metric Entropy as Methods for Determining Mechanical Properties of Composite Materials

Numerical Analysis for U‐Shaped Thin‐Walled Structure Reinforced Timber Beam Based on Thin‐Layer Beam Theory

Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring

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