A Deep Learning-Driven Fast Scanning Method for Micro-Computed Tomography Experiments on CMCs
Background In-situ micro-computed tomography (µCT) technology is an attractive approach
to investigate the evolution process of damage inside ceramic matrix composites (CMCs) …
to investigate the evolution process of damage inside ceramic matrix composites (CMCs) …
In-situ quantitative tracking of micro-crack evolution behavior inside CMCs under load at high temperature: A deep learning method
Micro-cracks play an extremely significant role in the failure of ceramic matrix composites
(CMCs). In-situ quantitative tracking of micro-crack evolution behavior remains a great …
(CMCs). In-situ quantitative tracking of micro-crack evolution behavior remains a great …
[HTML][HTML] Tensile damage evolution and mechanical behaviour of SiCf/SiC mini-composites through 4D in-situ micro-CT and data-driven modelling
W Guo, D Zhang, Y Zhang, Y Du, C Chen - Composites Part B: Engineering, 2024 - Elsevier
Damage evolution of SiC f/SiC ceramic matrix mini-composites (CMMCs) was characterised
by using a 4D in-situ micro-computed tomography (CT) tensile test and digital volume …
by using a 4D in-situ micro-computed tomography (CT) tensile test and digital volume …
Patch-based artifact reduction for three-dimensional volume projection data of sparse-view micro-computed tomography
T Okamoto, T Kumakiri, H Haneishi - Radiological Physics and Technology, 2022 - Springer
Micro-computed tomography (micro-CT) enables the non-destructive acquisition of three-
dimensional (3D) morphological structures at the micrometer scale. Although it is expected …
dimensional (3D) morphological structures at the micrometer scale. Although it is expected …
[HTML][HTML] Internal damage evolution investigation of C/SiC composites using in-situ tensile X-ray computed tomography testing and digital volume correlation at 1000° …
Ceramic matrix composites (CMCs) have lots of distributed manufacture-induced defects,
which affect the mechanical response at high temperature heavily. In this paper, in-situ …
which affect the mechanical response at high temperature heavily. In this paper, in-situ …
Image fast reconstruction for sparse view computed tomography with reduced sampling integration time
C Long, C Tan, E Zhao, H Tan, L Duan - Displays, 2024 - Elsevier
Industrial computed tomography (CT) can detect the internal structure of objects
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …
In situ investigation on rapid microstructure evolution in extreme complex environment by developing a new AFBP-TVM sparse tomography algorithm from original CS …
F Xu, B Dong, X Hu, Y Xiao, Y Wang - Optics and Lasers in Engineering, 2017 - Elsevier
A new sparse tomography method for observing the rapid internal microstructure evolution
of material, called the Algebraic Filtered-Back-Projection and Total Variation Minimization …
of material, called the Algebraic Filtered-Back-Projection and Total Variation Minimization …
HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation
Abstract The Hybrid Optimization Software Suite (HOSS), which combines the finite-discrete
element method (FDEM), is an advanced approach for simulating high-fidelity fracture and …
element method (FDEM), is an advanced approach for simulating high-fidelity fracture and …
Robust multitask compressive sampling via deep generative models for crack detection in structural health monitoring
In structural health monitoring (SHM), there is an increasing demand for real-time image-
based damage detection. Such a technology is essential for minimizing hazard loss caused …
based damage detection. Such a technology is essential for minimizing hazard loss caused …
Automated Segmentation of In Situ X-ray Microtomography of Progressive Damage in Advanced Composites via Deep Learning
View Video Presentation: https://doi. org/10.2514/6.2021-2024. vid We present here the
development and evaluation of a deep learning (artificial intelligence)-based computer …
development and evaluation of a deep learning (artificial intelligence)-based computer …