Using digital image correlation to evaluate the bond between carbon fibre-reinforced polymers and timber

Biscaia, Hugo C.; Canejo, João P.; Zhang, Shishun; Almeida, Raquel

doi:10.1177/14759217211006021

Cited by 13 publications

(4 citation statements)

References 53 publications

(86 reference statements)

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“…The algorithm obtains the sorting function by setting the correlation between fixed nodes and other nodes. It sets the correlation between nodes and other nodes according to the obtained sorting function measurement [24]. The correlation of each point is obtained by using the sorting method of the internal manifold structure of the data.…”

Section: B Extraction Of Salient Information From Traditional Artmentioning

confidence: 99%

Classification Method of Traditional Art Painting Style Based on Color Space Transformation

Zhe

2023

IJACSA

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In order to improve the accuracy and efficiency of traditional art painting style classification, a classification method of traditional art painting style based on color space transformation is proposed. This method preprocesses the traditional artistic painting style, improves the contrast of the image, makes the color and details of the image more vivid, and provides the basis for the subsequent color space conversion. After the traditional artistic painting style is stretched by automatic contrast stretching method, the color space is transformed. The purpose is to transform the image from one color space to another, so as to better extract the features of the image. Based on the traditional artistic painting style image after color space conversion, the traditional artistic painting image is balanced by the adaptive histogram equalization method with limited contrast, and an enhanced traditional artistic painting image is obtained, which further enhances the contrast of the image, makes the details in the image more prominent, and also enhances the overall visual effect of the image. Taking the enhanced traditional art painting images as input, the fuzzy Cmeans method is used to classify the traditional art painting styles, and the images are effectively divided into different categories according to the characteristics of the images. The experimental results show that this method can effectively enhance the image of traditional art paintings and effectively classify traditional art paintings with different styles, which has strong application effect.

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Section: B Extraction Of Salient Information From Traditional Artmentioning

confidence: 99%

Classification Method of Traditional Art Painting Style Based on Color Space Transformation

Zhe

2023

IJACSA

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“…DIC has a better performance compared to Linear Variable Differential Transformer (LVDT) sensors and strain gauges that can extract only values at a single point. The DIC method has gained significant popularity in recent years, and various studies have been performed using this technique, [32][33][34][35][36][37] as it can update the FEM in a more efficient way. The DIC method obtains the amount of displacement and strain of the desired surface by comparing the images taken from the specimen, before and after the deformation.…”

Section: Introductionmentioning

confidence: 99%

Performance assessment of steel cantilever beams based on connection behaviour using DIC technique and improved hybrid PSO algorithm

Khaloo

Amirahmadi

2023

Structural Health Monitoring

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Cantilever beams can have various behaviour depending on the details of the connection. Partially-fixed connections have a different performance from conventionally-fixed connections, in which the exact information is not available. In this paper, using the finite element model updating (FEMU) of a steel cantilever beam, the support conditions of a partially-fixed connection and the behaviour of the beam are investigated. The FEMU is utilized as an appropriate technique for structural health monitoring, which requires the use of data acquisition methods from the structure. In this research, instead of using discrete sensors, displacement and strain information are continuously measured from the beam surface using the digital image correlation (DIC) method. The difference between the initial model and the data extracted from the DIC is determined by a cost function. A hybrid method called Powell particle swarm optimization is used to minimize the cost function. This method includes particle swarm optimization (PSO) as a global search technique and Powell optimization as a local search technique; the hybrid method achieves better performance by combining the two methods. A dynamic inertia weight is presented to improve the performance of the PSO algorithm. Abaqus software and Python programming have been used to carry out the FEMU process. Finally, the amount of rotation and displacement of support are calculated, and the dependency of beam behaviour on each of the variables is investigated. This method yields acceptable convergence of the results and can be extended to study other structural components.

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“…As a flexible non-contact optical-numerical technology, digital image correlation (DIC) has the characteristics of relatively straightforward data processing, easy implementation, high accuracy, and wide applicability, that have become widespread in the mechanical properties testing of materials and biological tissues [1][2][3][4][5], health monitoring of engineering structures [6][7][8], and other fields. Stereo-DIC technology combines the principles of DIC and stereophotogrammetry, which is a powerful and practical full-field optical deformation measurement technology [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Panoramic Digital Image Correlation for 360-Deg Full-Field Displacement Measurement

Zhao

et al. 2023

Applied Sciences

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In full-field 3D displacement measurement, stereo digital image correlation (Stereo-DIC) has strong capabilities. However, as a result of difficulties with stereo camera calibration and surface merging, 360-deg panoramic displacement measurements remain a challenge. This paper proposes a panoramic displacement field measurement method in order to accurately measure the shape and panoramic displacement field of complex shaped objects with natural textures. The proposed method is based on the robust subset-based DIC algorithm and the well-known Zhang’s calibration method to reconstruct the 3D shape and estimate the full-field displacements of a complex surface from multi-view stereo camera pairs. The method is used in the determination of the scale factor of the 3D reconstructed surface and the stitching of multiple 3D reconstructed surfaces with the aid of the laser point cloud data of the object under test. Based on a discussion of the challenges faced by panoramic DIC, this paper details the proposed solution and describes the specific algorithms implemented. The paper tests the performance of the proposed method using an experimental system with a 360-deg six camera setup. The system was evaluated by measuring the rigid body motion of a cylindrical log sample with known 3D point cloud data. The results confirm that the proposed method is able to accurately measure the panoramic shape and full-field displacement of objects with complex morphologies.

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Using digital image correlation to evaluate the bond between carbon fibre-reinforced polymers and timber

Cited by 13 publications

References 53 publications

Classification Method of Traditional Art Painting Style Based on Color Space Transformation

Classification Method of Traditional Art Painting Style Based on Color Space Transformation

Performance assessment of steel cantilever beams based on connection behaviour using DIC technique and improved hybrid PSO algorithm

Panoramic Digital Image Correlation for 360-Deg Full-Field Displacement Measurement

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