Results 61 to 70 of about 8,481 (226)

Digital Image Correlation (DIC) Method for Detecting Strain in Wood Drying Process

open access: yesBioResources, 2023
Stress and strain monitoring is of great significance for wood drying. Using digital image correlation (DIC), this study measured displacement and strain changes during wood drying in real time.
Haojie Chai, Lei Cai, Tao Xu, Yukun Ma
doaj   +2 more sources

Deformation and localisation behaviours of reinforced gravelly backfill using shaking table tests

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2020
To understand the deformational behaviours of geosynthetics-reinforced soil retaining walls (GRS RWs), a series of plane-strain shaking table tests was conducted on retaining wall models.
H. Munoz, T. Kiyota
doaj   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

open access: yesAdvanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen   +7 more
wiley   +1 more source

Real-Time GPU-Based Digital Image Correlation Sensor for Marker-Free Strain-Controlled Fatigue Testing

open access: yesApplied Sciences, 2019
Digital image correlation (DIC) is a highly accurate image-based deformation measurement method achieving a repeatability in the range of σ= 10−5 relative to the field-of-view.
Andreas Blug   +6 more
doaj   +1 more source

Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output

open access: yesAdvanced Science, EarlyView.
Mild cooling of the cortical surface selectively modulates apical dendritic excitability, plasticity, and somato‐dendritic coupling, while uncoupling these effects from basal dendrites, and reshapes apical‐driven responses in barrel cortex during whisker touch.
Meisam Habibi Matin   +2 more
wiley   +1 more source

Precise Tailoring 3D Printed In Situ Toughening Low‐k Microwave Transparent Structure via Thiol‐acrylate Chain Transfer Behavior

open access: yesAdvanced Science, EarlyView.
An in situ thiol–acrylate chain transfer‐mediated toughening strategy is introduced for Digital Light Processing (DLP) printing. Benefiting from its excellent printability, a printed gyroid lattice‐filled plate (100 µm wall thickness) achieves 92% transmittance at 10 GHz under a 50° incidence angle following structural optimization. ABSTRACT The unique
Ce Bian   +7 more
wiley   +1 more source

Improvement of Ultraviolet Digital Image Correlation (UV-DIC) at Extreme Temperatures

open access: yes, 2020
Extreme temperature has increasingly played an essential role in design and operation of various engineering applications including spacecraft re-entry, hypersonic flight, next-generation nuclear reactors, and hot-fire rocket testing. To protect instruments against the harsh environments, it is preferable to use non-contacting measurements when ...
openaire   +3 more sources

Quantum Dots for Biomedical Biosensing, NIR‐II Bioimaging, and Phototherapy: Materials Design, Signal Transduction, and Translational Barriers

open access: yesAdvanced Science, EarlyView.
This review outlines bottom‐up and biomimetic fabrication strategies of quantum dots, and highlights their emerging applications in biosensing, multimodal bioimaging, and intelligent cancer theranostics. It further discusses key translational barriers and future perspectives for advancing QD‐based nanomedicine toward clinical implementation.
Jie Ju   +5 more
wiley   +1 more source

TECHNOLOGICAL PROPERTIES OF Eucalyptus grandis USING DIGITAL IMAGE CORRELATION (DIC)

open access: yesFLORESTA
This study aimed to characterize some technological properties of Eucalyptus grandis wood and evaluate the use of Digital Image Correlation (DIC) to obtain the displacement and the behavior of the samples in deformation and its relationship with tension in tensile and compression tests parallel to the fibers. Samples were produced from 23-year-old wood
Angela Maria Stupp   +3 more
openaire   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

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