Experimental vibration analysis of large structures using 3D DIC technique with a novel calibration method

Kumar, David; Chiang, Chih‐Hung; Lin, Yu-Hsiang

doi:10.1007/s13349-022-00549-5

Cited by 15 publications

(8 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, an artificially created speckle pattern is pasted on the PVC pipe to provide a unique pattern for better correlation. 20 This dataset has been used in our earlier studies for validation purposes and is being used to validate the currently proposed AI-DIC algorithm. The time domain displacement of the 1m PVC pipe exactly interprets the given excitation applied by the forefinger, which leads to a sinusoidal displacement plot (where the initial displacement is maximum, which decreases gradually due to structural damping).…”

Section: Indoor Experiment: 1m Pvc Pipementioning

confidence: 99%

Automated AI-DIC marker-less technique for tracking displacements of large structures

Prasad,

Chiang,

Kumar

et al. 2024

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

View full text Add to dashboard Cite

Markers are crucial for measuring the displacement of large structures using digital image correlation (DIC). In general, creating or affixing artificial markers on large structures is cha llenging. Several studies in the past have addressed this challenge by employing marker-less or target-free approaches. In this work, we integrate an AIbased non-intersecting poly-shape marker identification technique with the DIC program that uses the structural pattern as a marker and automates the selection of the region of interest by enabling strong correlation criteria to obtain the displacements in real-time. The proposed AI-DIC algorithm segments non-intersecting poly-shape markers from the images of the target structure based on the features detected by the KAZE feature detector and descriptors. Further, the investigated marker or the natural structural pattern is automatically given as an input region of interest to the DIC program. Moreover, it considers the marker as a template, correlates it with all subsequent images, and analyzes the displacements and frequencies of the target structure. In addition, the AI-DIC algorithm is realized on an in-house cantilever beam experiment where the images are acquired and processed in real-time.

show abstract

Section: Indoor Experiment: 1m Pvc Pipementioning

confidence: 99%

Automated AI-DIC marker-less technique for tracking displacements of large structures

Prasad,

Chiang,

Kumar

et al. 2024

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

View full text Add to dashboard Cite

show abstract

“…However, for large-scale engineering structures such as bridges and wind turbine blades, the application of speckle patterns/optical targets is challenging or unfeasible, thus limiting the applicability of 3D-DIC and 3D-PT. To solve this problem, studies have tried to track features that are naturally present on the surface of the structure of interest by using feature descriptors such as the Scale-Invariant Feature Transform 4 (SIFT), Binary Robust Invariant Scalable Keypoints 5 (BRISK) or KAZE 6 . While these methods are promising, they are affected by a higher noise floor compared to traditional 3D-DIC/3D-PT and the possibility to lose the target-to-be-tracked in between frames.…”

Section: Introductionmentioning

confidence: 99%

Natural pattern tracking for 3D-digital image correlation measurements

Bottalico,

Sabato

2024

Health Monitoring of Structural and Biological Systems XVIII

View full text Add to dashboard Cite

Optical methods for structural health monitoring have become extremely popular thanks to advancements in camera technology and increased computational capabilities. Among these methods, 3D-digital image correlation (3D-DIC) and 3D-point tracking (3D-PT) have been proposed as a replacement for traditional contact-based techniques given their ability to measure full-field displacements and surface strain maps of structures of interest. 3D-DIC and 3D-PT require the application of well recognizable high-contrast patterns such as stochastic speckle patterns or optical targets on the surface of the targeted structure. However, when large-scale engineering structures (e.g., bridges and wind turbines) must be analyzed, applying the high-contrast patterns is not always feasible, thus limiting the applicability of optical methods. The objective of this research is to develop an approach that allows identifying and tracking already present features on the surface of the structure of interest, such as bolts, letters, stains, rusted patches, and holes. To achieve this goal, a newly proposed Augmented Centroid-Based Detector (A-CBD) is presented to extract and track identifiable features on the surface of the structure of interest. In this paper, the performance of the A-CBD method is compared with a traditional, correlation-based 3D-PT measurement performed with the use of optical targets in a series of laboratory tests. The results show excellent agreement between the two methods, yielding an average Time Response Assurance Criterion (TRAC) value above 99.5 %. If further developed, the proposed A-CBD approach can extend the applicability of optical methods for measurements on real-world structures.

show abstract

“…Bridges, high-rise buildings, and wind turbines, among others, are the main target of interests. Previous studies of the authors, for example, prove that with the success of DIC measurements is heavily dependent on the effective calibration process prior to and the lighting condition during the image recording [16] 2 Laboratory study of 3D measurement using DIC techniques…”

Section: Introductionmentioning

confidence: 99%

“…The follow-up investigation, however, found the traditional calibration would not be feasible since a huge calibration board would be practically impossible for the field of view required for field measurements of wind turbines or bridges. Hence, a new calibration method is devised that uses IMU and laser sensors along with a virtual stereovision tool for obtaining extrinsic and intrinsic parameters of a stereo-DIC setup for large structures [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vibration Analysis and Digital Image Correlation Techniques for a Suspension Bridge

LIN¹,

TSENG²,

Chiang³

et al. 2022

eJNDT

View full text Add to dashboard Cite

Bridge inspection is critical to safe transportation, especially in highly urbanized areas. Frequent inspection invoked by the un-scheduled maintenance for bridges is often subjected to the availability of NDT service providers. Hence the objective of the current research is to provide an economical NDT technique for the maintenance crew. Digital image correlation techniques can be cost-effective for the displacement measurement of highway bridges using merely one high-resolution camera. The vibration analysis based on the remote measurements of high-speed camera systems is not only challenging but also prohibitively expensive. An alternative approach using two consumer-grade digital cameras has been developed. The field test has been successfully carried out for a 50-meter-span suspension bridge. Satisfactory results have been obtained in both the vertical displacement caused by a moving load and the mode shapes of the first and second vibration modes.

show abstract

Experimental vibration analysis of large structures using 3D DIC technique with a novel calibration method

Cited by 15 publications

References 39 publications

Automated AI-DIC marker-less technique for tracking displacements of large structures

Automated AI-DIC marker-less technique for tracking displacements of large structures

Natural pattern tracking for 3D-digital image correlation measurements

Vibration Analysis and Digital Image Correlation Techniques for a Suspension Bridge

Contact Info

Product

Resources

About