scholarly journals Study on Bridge Displacement Monitoring Algorithms Based on Multi-Targets Tracking

2020 ◽  
Vol 12 (1) ◽  
pp. 9
Author(s):  
Jiajia Wang ◽  
Guangming Li
Keyword(s):  
Target Tracking ◽  
Digital Image ◽  
Low Cost ◽  
Image Correlation ◽  
Displacement Monitoring ◽  
Full Account ◽  
Bridge Health Monitoring ◽  
Multi Target Tracking ◽  
Tracking Technology ◽  
Monitoring Algorithm

Bridge displacement measurement is an important area of bridge health monitoring, which can directly reflect whether the deformation of bridge structure exceeds its safety permission. Target tracking technology and Digital Image Correlation (DIC) are two fast-developing and well-known methods for non-contact bridge displacement monitoring in Digital Image Processing (DIP) methods. The former’s cost of erecting detection equipment is too large for bridges with a large span that need to locate more multi-targets because of its tracking only one target on a camera while the latter is not suitable for remote detection because it requires very high detection conditions. After investigating the evolution of bridge displacement monitoring, this paper proposes a bridge displacement monitoring algorithm based on multi-target tracking. The algorithm takes full account of practical application and realizes accuracy, robustness, real-time, low-cost, simplicity, and self-adaptability, which sufficiently adapts the bridge displacement monitoring in theory.

scholarly journals Evaluation of a low-cost approach to 2-D digital image correlation vs. a commercial stereo-DIC system in Brazilian testing of soil specimens

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
M. Arza-García ◽  
C. Núñez-Temes ◽  
J. A. Lorenzana ◽  
J. Ortiz-Sanz ◽  
A. Castro ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Field Measurements ◽  
Image Correlation ◽  
Strain Gauges ◽  
Source Image ◽  
Full Field ◽  
Cost Approach

AbstractDue to their cost, high-end commercial 3D-DIC (digital image correlation) systems are still inaccessible for many laboratories or small factories interested in lab testing materials. These professional systems can provide reliable and rapid full-field measurements that are essential in some laboratory tests with high-strain rate events or high dynamic loading. However, in many stress-controlled experiments, such as the Brazilian tensile strength (BTS) test of compacted soils, samples are usually large and fail within a timeframe of several minutes. In those cases, alternative low-cost methods could be successfully used instead of commercial systems. This paper proposes a methodology to apply 2D-DIC techniques using consumer-grade cameras and the open-source image processing software DICe (Sandia National Lab) for monitoring the standardized BTS test. Unlike most previous studies that theoretically estimate systematic errors or use local measures from strain gauges for accuracy assessment, we propose a contrast methodology with independent full-field measures. The displacement fields obtained with the low-cost system are benchmarked with the professional stereo-DIC system Aramis-3D (GOM GmbH) in four BTS experiments using compacted soil specimens. Both approaches proved to be valid tools for obtaining full-field measurements and showing the sequence of crack initiation, propagation and termination in the BTS, constituting reliable alternatives to traditional strain gauges. Mean deviations obtained between the low-cost 2D-DIC approach and Aramis-3D in measuring in-plane components were 0.08 mm in the perpendicular direction of loading (ΔX) and 0.06 mm in the loading direction (ΔY). The proposed low-cost approach implies considerable savings compared to commercial systems.

A low-cost digital image correlation based constitutive sensor

2010 ◽  
Author(s):  
Gun-Jin Yun ◽  
Shen Shang ◽  
Shilpa Kunchum ◽  
Joan Carletta ◽  
Si-Byung Nam
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Low Cost ◽  
Image Correlation

Structural Displacement Monitoring Using Smartphone Camera and Digital Image Correlation

2018 ◽  
Vol 18 (11) ◽  
pp. 4664-4672 ◽  
Author(s):  
Niannian Wang ◽  
Kwang Ri ◽  
Hao Liu ◽  
Xuefeng Zhao
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Displacement Monitoring

A Low-Cost and Simplified Digital Image Correlation Software Package for Use in Undergraduate Teaching Laboratories

2016 ◽  
Author(s):  
Fritz Hieb ◽  
Michael Hargather
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
High Speed ◽  
Low Cost ◽  
Image Correlation ◽  
Undergraduate Teaching ◽  
Development Cycle ◽  
Undergraduate Laboratory ◽  
And Performance ◽  
As Stress

Digital image correlation (DIC) has become an industry staple quickly replacing classic techniques. High-speed images are taken of a material sample being deformed, then algorithms applied to calculate variables of sample deformation such as stress, strain, displacement and displacement velocity. Currently, the analysis technology is not available at the level of simplicity and accessibility needed to teach the methods in an undergraduate laboratory. This project aims to develop a single program to perform DIC that is simple to use, accurate, and available at low cost. This paper describes the state of current DIC algorithm research, drawbacks of available technologies, the development cycle of the software including the techniques used to obtain the necessary accuracy and performance, and a demonstration of the DIC functionality in comparison to results obtained from commercial software.

scholarly journals Analysis of Mechanical Behavior through Digital Image Correlation and Reliability of Pinus halepensis Mill.

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1232
Author(s):  
Alberto Villarino ◽  
Jorge López-Rebollo ◽  
Natividad Antón
Keyword(s):  
Digital Image Correlation ◽  
Mechanical Behavior ◽  
Digital Image ◽  
Weibull Modulus ◽  
Pinus Halepensis ◽  
Low Cost ◽  
Geographical Area ◽  
Image Correlation ◽  
Test Pieces ◽  
Wooden Structures

The mechanical behavior of test pieces extracted from two specimens of Pinus halepensis Mill., from the same geographical area and close to each other, was examined in this study. Using a methodology based on Digital Image Correlation (DIC) and implemented during compression strength testing, the modulus of elasticity in compression parallel to the grain (MOEc) was obtained. In addition, the value of compressive strength (MORc) was obtained for this type of wood. The research was complemented with a reliability study, determined using the Weibull modulus, from the MORc values. A microstructural and behavioral study of the most representative pieces after failure was also conducted to correlate breakage with the behavior of the pieces during the tests monitored by DIC, to link both studies. DIC was shown to be an ideal and low-cost technique for the determination of the studied properties, and obtained average values of MOEc of 50.72 MPa and MORc of 9693 MPa. These values represent fundamental data for design and calculations of wooden structures. A reliability value of between 11 and 12 was obtained using the Weibull modulus for this type of wood.

scholarly journals New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements

2019 ◽  
Vol 9 (8) ◽  
pp. 1691 ◽  
Author(s):  
Alejandro-Israel Barranco-Gutiérrez ◽  
José-Alfredo Padilla-Medina ◽  
Francisco J. Perez-Pinal ◽  
Juan Prado-Olivares ◽  
Saúl Martínez-Díaz ◽  
...  
Keyword(s):  
Image Registration ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Surface Deformation ◽  
Initial Conditions ◽  
Low Cost ◽  
Digital Camera ◽  
Image Correlation ◽  
Camera System ◽  
Metal Sheets

Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type “afine” or “similarity”, based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a “Circle grid”. Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.

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