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Internal crack detection has been a subject of focus in structural health monitoring. By focusing on crack detection in structural datasets, it is demonstrated that deep learning (DL) methods can effectively analyze seismic wave fields…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Fatahlla Moreh , Yusuf Hasan , Bilal Zahid Hussain , Mohammad Ammar , Sven Tomforde

Architected materials can exhibit remarkable combinations of stiffness, strength, and toughness, yet their application is currently limited by an incomplete understanding of how cracks initiate and propagate through their discrete…

Soft Condensed Matter · Physics 2026-04-24 Alessandra Lingua , Arturo Chao Correas , François Hild , David S. Kammer

We investigate the influence of microstructural traps in hydrogen-assisted fatigue crack growth. To this end, a new formulation combining multi-trap stress-assisted diffusion, mechanism-based strain gradient plasticity and a hydrogen- and…

Materials Science · Physics 2022-04-15 R. Fernández-Sousa , C. Betegón , E. Martínez-Pañeda

Digital image correlation (DIC) is a widely used optical metrology for surface deformation measurements. DIC relies on nonlinear optimization method. Thus an initial guess is quite important due to its influence on the converge…

Computer Vision and Pattern Recognition · Computer Science 2019-09-24 Peihan Tu

Despite extensive theoretical treatment of short- to long-crack transitions, direct experimental quantification of how elastic and plastic energy contributions evolve at the crack tip during arrest has remained absent. In this study, we…

Materials Science · Physics 2026-04-29 Abdalrhaman Koko , Bemin Sheen , Caitlin Green , Fionn Dunne

Digital image correlation (DIC) is a well-established, non-invasive technique for tracking and quantifying the deformation of mechanical samples under strain. While it provides an obvious way to observe incremental and aggregate…

Materials Science · Physics 2019-04-16 Stefanos Papanikolaou , Michail Tzimas , Andrew C. E. Reid , Stephen A. Langer

This study investigates one of the central problems of dynamic fracture mechanics, namely the dependence of the instantaneous stress intensity factor (SIF) on the crack propagation velocity. For this purpose, the well-known experiments by…

Materials Science · Physics 2026-05-29 M. Ignatev , P. Weißgraeber , E. Oterkus , L. Radtke

The interaction of an interfacial crack with small impurities is analysed on the basis of an asymptotic formula derived by the authors. The interaction between the main crack and the defects (e.g. small cracks or inclusions) is described…

Mathematical Physics · Physics 2011-05-11 Gennady Mishuris , Alexander Movchan , Natasha Movchan , Andrea Piccolroaz

Crack-tip stress evaluation has always been a problem in the frame of classical elasticity theory. Peridynamics has been shown to have great advantages in dealing with crack problems. In the present study, we present a peridynamic crack-tip…

Materials Science · Physics 2017-04-05 Xiao-Wei Jiang , Hai Wang

Digital Image Correlation (DIC) enables dense, time-resolved measurement of surface strain in deforming materials, providing insight into strain localization and failure mechanisms. However, the resulting strain fields are typically…

Human-Computer Interaction · Computer Science 2026-05-22 Victor Persson , Christofer Boo , Mohit Sharma , Ingrid Hotz

Accurate assessment of corneal mechanical properties is critical for understanding ocular biomechanics, predicting refractive surgery outcomes, and optimizing cross-linking (CXL) treatments. Conventional uniaxial tensile test is limited by…

Cracking is a common failure mode in asphalt concrete (AC) pavements. Many tests have been developed to characterize the fracture behavior of AC. Accurate crack detection during testing is crucial to describe AC fracture behavior. This…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Zehui Zhu , Imad L. Al-Qadi

Finite element analysis of stress about a blunt crack tip, emphasizing finite strain and phenomenological and mechanism-based strain gradient plasticity (SGP) formulations, is integrated with electrochemical assessment of occluded-crack tip…

Materials Science · Physics 2017-11-17 Emilio Martínez-Pañeda , Christian F. Niordson , Richard P. Gangloff

Digital Image Correlation (DIC) is an optical technique that measures displacement and strain by tracking pattern movement in a sequence of captured images during testing. DIC has gained recognition in asphalt pavement engineering since the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Siqi Wang , Zehui Zhu , Tao Ma , Jianwei Fan

Integrated Digital Image Correlation (IDIC) is nowadays a well established full-field experimental procedure for reliable and accurate identification of material parameters. It is based on the correlation of a series of images captured…

Data Analysis, Statistics and Probability · Physics 2018-10-22 O. Rokoš , J. P. M. Hoefnagels , R. H. J. Peerlings , M. G. D. Geers

Digital Image Correlation (DIC) is of vital importance in the field of experimental mechanics, yet, producing suitable DIC patterns for demanding in-situ mechanical tests remains challenging, especially for ultra-fine patterns, despite the…

Applied Physics · Physics 2019-08-20 Johan Hoefnagels , Marc van Maris , Tijmen Vermeij

Digital image correlation (DIC) is a widely used optical metrology for quantitative deformation measurement due to its non-contact, low-cost, highly precise feature. DIC relies on nonlinear optimization algorithm. Thus it is quite important…

Computer Vision and Pattern Recognition · Computer Science 2019-09-24 Peihan Tu

Understanding the local fracture resistance of microstructural features. such as brittle inclusions, coatings, and interfaces at the microscale under complex loading conditions is critical for microstructure-informed design of materials. In…

Reconstruction and monitoring of displacement and strain fields is an important problem in engineering. We analyze the remote and non-obtrusive methods of strain measurement based on photogrammetry and Digital Image Correlation (DIC). The…

Computer Vision and Pattern Recognition · Computer Science 2016-09-28 Ghulam Mubashar Hassan , Arcady V. Dyskin , Cara K. MacNish

[Objective] To develop a Computer-aided diagnosis (CAD) system for plane frontal hip X-rays with a deep learning model trained on a large dataset collected at multiple centers. [Materials and Methods]. We included 5295 cases with neck…