Local validation of structural health monitoring strain measurements

Reis, J. dos; Costa, C. Oliveira; Costa, José Sá da

doi:10.1016/j.measurement.2018.12.057

Cited by 9 publications

(2 citation statements)

References 24 publications

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“…Therefore, many platforms have emphasized the importance of cost-effective SHM to ensure long-term structural integrity and safety levels [5][6][7][8]. Current SHM mainly includes tasks such as displacement monitoring [9,10], damage detection and assessment [11,12], strain monitoring [13], and local structural identification [14], where structure-specific strain monitoring plays a crucial role in assessing the condition of various structure types [15][16][17][18][19]. The strain data measured against a structure can be used to assess the structural properties, failure behavior, crack extension, and residual stresses in the stressed components of the structure [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Zhao,

Bai,

Liang

et al. 2023

Buildings

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Strain measurements have a significant role in evaluating the condition of various structural types and have become an essential component in the area of structural health monitoring. However, there are some limitations in the current means of strain measurement, and this study aims to improve these methods. We have designed a novel strain measurement method based on template matching algorithms and microscopic vision techniques, developed a new sliding strain sensor, and paired it with a new microscope to realize strain measurement. The method has the function of remote wireless acquisition with a cell phone, which is more widely applicable. In the laboratory performance testing, the zero drift of the sensor is mainly concentrated in the fluctuation range of ±2 με, and the effective range reaches nearly 40,000 με. In the comparison experiments with the linear variable differential transformer, the maximum error of the static loading is only 5 με, and the maximum error rate of the dynamic loading is less than 1%, which proves that it has a relatively high accuracy. Finally, the short-term real-time monitoring of the local structure of the footbridge was accomplished, and the strain changes on the surface of the structure were captured instantly, stably, and efficiently in the actual measurements. The proposed strain measurement system has the advantages of high accuracy, a low cost, convenient measurement, and wide applicability, and it provides a novel alternative means for strain measurement in the field of structural health monitoring.

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Section: Introductionmentioning

confidence: 99%

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Zhao,

Bai,

Liang

et al. 2023

Buildings

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“…There are a number of promising methods that have also been successfully applied for damage identification in adhesive joints, using ultrasounds [7,8,9], thermography [10], radiography [11], laser-induced breakdown spectroscopy [12], or electric time-domain reflectometry [13]. These methods are the basis for structural health monitoring (SHM) systems that provide a real-time evaluation of analyzed structures of different types, such as bridges [14,15,16], tunnels [17], or marine structures [18]. Nowadays, SHM strategies are becoming more and more popular for composite materials also [19,20,21].…”

Section: Introductionmentioning

confidence: 99%

Wave Frequency Effects on Damage Imaging in Adhesive Joints Using Lamb Waves and RMS

Wojtczak

Rucka

2019

Materials

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Structural adhesive joints have numerous applications in many fields of industry. The gradual deterioration of adhesive material over time causes a possibility of unexpected failure and the need for non-destructive testing of existing joints. The Lamb wave propagation method is one of the most promising techniques for the damage identification of such connections. The aim of this study was experimental and numerical research on the effects of the wave frequency on damage identification in a single-lap adhesive joint of steel plates. The ultrasonic waves were excited at one point of an analyzed specimen and then measured in a certain area of the joint. The recorded wave velocity signals were processed by the way of a root mean square (RMS) calculation, giving the actual position and geometry of defects. In addition to the visual assessment of damage maps, a statistical analysis was conducted. The influence of an excitation frequency value on the obtained visualizations was considered experimentally and numerically in the wide range for a single defect. Supplementary finite element method (FEM) calculations were performed for three additional damage variants. The results revealed some limitations of the proposed method. The main conclusion was that the effectiveness of measurements strongly depends on the chosen wave frequency value.

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Deep learning based structural damage identification for the strain field of a subway bolster

Yang,

Guo

et al. 2023

Alexandria Engineering Journal

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Local validation of structural health monitoring strain measurements

Cited by 9 publications

References 24 publications

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Wave Frequency Effects on Damage Imaging in Adhesive Joints Using Lamb Waves and RMS

Deep learning based structural damage identification for the strain field of a subway bolster

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