4.7 Article

A pointwise optimal subset selection strategy assisted by shape functions in digital image correlation algorithm

Related references

Note: Only part of the references are listed.
Article Materials Science, Multidisciplinary

Adaptive Rotated Gaussian Weighted Digital Image Correlation (RGW-DIC) for Heterogeneous Deformation Measurement

X. Ye et al.

Summary: DIC has become a flexible, reliable, and fast optical method for non-contact and full-field surface deformation measurement. However, current methods still need improvement in accurately measuring heterogeneous deformation fields, especially high gradient strain fields. A new approach using RGW-DIC with automatically determined subset weight distribution has been proposed to significantly improve accuracy in measuring severely heterogeneous deformation.

EXPERIMENTAL MECHANICS (2022)

Article Optics

A novel rotated sigmoid weight function for higher performance in heterogeneous deformation measurement with digital image correlation

Xiaosen Ye et al.

Summary: This paper proposes a novel rotated sigmoid weight (RSW) function for digital image correlation (DIC), and the experiment results show that DIC combined with RSW function (RSW-DIC) achieves the best spatial resolution without sacrificing much measurement resolution.

OPTICS AND LASERS IN ENGINEERING (2022)

Article Optics

Deformation measurement in Al thin films at elevated temperatures by digital image correlation with speckles prepared by femtosecond laser

Zhiwen Chen et al.

Summary: This study proposes a method of speckle preparation using pulsed laser for deformation measurement in thin films at elevated temperatures. The method provides good measurement accuracy and minimal damage to the sample.

OPTICS AND LASER TECHNOLOGY (2022)

Article Optics

The research on laser welding-riveting hybrid bonding of titanium alloy and carbon fiber reinforced composites

Hongyang Wang et al.

Summary: The Ti-6Al-4V and Carbon Fiber Reinforced Polymer (CFRP) were joined by a welding-riveting hybrid bonding process, using a stepped rivet and pulsed laser beam. By varying the laser beam power, a maximum tensile shear load of 8.5 kN was achieved. The joint failure mode was identified as 'button fracture', and the bonding mechanism was analyzed using microscopic analysis and Digital Image Correlation (DIC) technology. In addition, a 2 μm mixing layer formed between the molten CFRP and TC4, contributing to the mechanical bonding process.

OPTICS AND LASER TECHNOLOGY (2022)

Article Engineering, Civil

Coupled deformation behavior analysis for the glass panel in unitized hidden-frame supported glass curtain wall system

Yuan Yuan et al.

Summary: Glass panels are widely used in unitized hidden-frame supported glass curtain wall systems in modern construction engineering. It is important to focus on the coupled deformation of the glass panel caused by complex boundary constraints from connected components and interactions in the system. The DIC method provides a unique advantage in characterizing the full-field coupled deformation behavior of the glass panel affected by complicated boundary conditions.

ENGINEERING STRUCTURES (2021)

Article Optics

Effects of laser beam defocusing on high-strain-rate tensile behavior of press-hardened Zn-coated 22MnB5 steel welds

M. H. Razmpoosh et al.

Summary: The study demonstrates that laser beam defocusing can successfully alleviate excessive weld concavity during laser welding of Zn-coated 22MnB5 steel, thereby improving the dynamic loading performance of the welds.

OPTICS AND LASER TECHNOLOGY (2021)

Article Construction & Building Technology

Flexural deformation characterization of glass panel in curtain walls based on digital image correlation technique

Yuan Yuan et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Computer Science, Information Systems

A Self-Adaptive Selection of Subset Size Method in Digital Image Correlation Based on Shannon Entropy

Xiao-Yong Liu et al.

IEEE ACCESS (2020)

Article Engineering, Mechanical

Displacement Measurement Errors in Digital Image Correlation Due to Displacement Mapping Function

B. J. Li et al.

EXPERIMENTAL TECHNIQUES (2019)

Article Engineering, Multidisciplinary

Heterogeneous parallel computing accelerated iterative subpixel digital image correlation

Huang JianWen et al.

SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2018)

Article Engineering, Geological

Insights on rock fracture from digital imaging and numerical modeling

Ali Fakhimi et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2018)

Review Materials Science, Multidisciplinary

A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation

Y. L. Dong et al.

EXPERIMENTAL MECHANICS (2017)

Article Optics

Digital image correlation based on a fast convolution strategy

Yuan Yuan et al.

OPTICS AND LASERS IN ENGINEERING (2017)

Article Optics

Digital Image Correlation with Dynamic Subset Selection

Ghulam Mubashar Hassan et al.

OPTICS AND LASERS IN ENGINEERING (2016)

Article Materials Science, Multidisciplinary

Effects of Various Shape Functions and Subset Size in Local Deformation Measurements Using DIC

Xiaohai Xu et al.

EXPERIMENTAL MECHANICS (2015)

Article Engineering, Multidisciplinary

The errors in digital image correlation due to overmatched shape functions

Liping Yu et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2015)

Article Optics

High accuracy digital image correlation powered by GPU-based parallel computing

Lingqi Zhang et al.

OPTICS AND LASERS IN ENGINEERING (2015)

Article Materials Science, Multidisciplinary

Subset Refinement for Digital Volume Correlation: Numerical and Experimental Applications

M. Gates et al.

EXPERIMENTAL MECHANICS (2015)

Article Materials Science, Multidisciplinary

Digital Image Correlation with Self-Adaptive Gaussian Windows

J. Huang et al.

EXPERIMENTAL MECHANICS (2013)

Article Materials Science, Multidisciplinary

Evaluation Using Digital Image Correlation of Stress Intensity Factors in an Aerospace Panel

Y. Du et al.

EXPERIMENTAL MECHANICS (2011)

Article Optics

Study of image characteristics on digital image correlation error assessment

M. Fazzini et al.

OPTICS AND LASERS IN ENGINEERING (2010)

Article Materials Science, Multidisciplinary

Assessment of Digital Image Correlation Measurement Errors: Methodology and Results

M. Bornert et al.

EXPERIMENTAL MECHANICS (2009)

Review Engineering, Multidisciplinary

Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review

Bing Pan et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2009)

Article Optics

Assessment of measuring errors in DIC using deformation fields generated by plastic FEA

P. Lava et al.

OPTICS AND LASERS IN ENGINEERING (2009)

Article Optics

Study of optimal subset size in digital image correlation of speckle pattern images

Sun Yaofeng et al.

OPTICS AND LASERS IN ENGINEERING (2007)

Article Optics

Quality assessment of speckle patterns for digital image correlation

D. Lecompte et al.

OPTICS AND LASERS IN ENGINEERING (2006)

Article Engineering, Multidisciplinary

Performance of sub-pixel registration algorithms in digital image correlation

Bing Pan et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2006)

Article Materials Science, Characterization & Testing

An evaluation of digital image correlation criteria for strain mapping applications

W Tong

STRAIN (2005)