Prediction of tear propagation path of stratospheric airship envelope material based on deep learning

Fracture surface topography investigation and fatigue life assessment of notched austenitic steel specimens

(2022) Wojciech Macek et al.   ENGINEERING FAILURE ANALYSIS

Deep learning-based planar crack damage evaluation using convolutional neural networks

(2021) X.Y. Long et al.   ENGINEERING FRACTURE MECHANICS

Deep learning model to predict complex stress and strain fields in hierarchical composites

(2021) Zhenze Yang et al.   Science Advances

Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks

(2020) Lu Deng et al.   Applied Sciences-Basel

Prediction of composite microstructure stress-strain curves using convolutional neural networks

(2020) Charles Yang et al.   MATERIALS & DESIGN

Prediction Method of Three‐Dimensional Crack Propagation Path Based on Deep Learning Application

(2020) Junxia Wang et al.   ADVANCED ENGINEERING MATERIALS

Concrete Cracks Detection Based on FCN with Dilated Convolution

(2019) Jianming Zhang et al.   Applied Sciences-Basel

Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines

(2019) Mahtab Mohtasham Khani et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

(2018) Allen Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle

(2018) In-Ho Kim et al.   SENSORS

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

(2018) Andrea Rovinelli et al.   npj Computational Materials

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

(2018) Zijiang Yang et al.   ACTA MATERIALIA

Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery

(2017) Zhaozhuo Xu et al.   Remote Sensing

Tearing Behaviors of Flexible Fiber-Reinforced Composites for the Stratospheric Airship Envelope

(2016) Junhui Meng et al.   APPLIED COMPOSITE MATERIALS

Mechanical Properties and Strength Criteria of Fabric Membrane for the Stratospheric Airship Envelope

(2016) Junhui Meng et al.   APPLIED COMPOSITE MATERIALS

Dynamic neural modeling of fatigue crack growth process in ductile alloys

(2016) L. Xie et al.   INFORMATION SCIENCES

Mechanical properties of woven fabric composite for stratospheric airship envelope based on stochastic simulation

(2016) Junhui Meng et al.   JOURNAL OF REINFORCED PLASTICS AND COMPOSITES

Mechanical responses and damage morphology of laminated fabrics with a central slit under uniaxial tension: A comparison between analytical and experimental results

(2015) Jianwen Chen et al.   CONSTRUCTION AND BUILDING MATERIALS

Tear strength characteristics of laminated envelope composites based on single edge notched film experiment

(2014) Liu Longbin et al.   ENGINEERING FRACTURE MECHANICS

Experimental study on uniaxial and biaxial tensile properties of coated fabric for airship envelopes

(2013) Jianwen Chen et al.   JOURNAL OF REINFORCED PLASTICS AND COMPOSITES

Tear Resistance of Orthogonal Kevlar-PWF-reinforced TPU Film

(2011) Jiangbo BAI et al.   Chinese Journal of Aeronautics

Fracture surface topography analysis (FRASTA)—Development, accomplishments, and future applications

(2010) Takao Kobayashi et al.   ENGINEERING FRACTURE MECHANICS

Tear Propagation of a High-Performance Airship Envelope Material

(2008) S. Maekawa et al.   JOURNAL OF AIRCRAFT