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	Experimental study of residual stress distribution in interfacial micro-region of SiC f /Ti17 composites via micro-slotting method 期刊论文 ENGINEERING FRACTURE MECHANICS, 2024, 卷号: 303, 页码: 14 作者: Zhao, Wanying; Zhao, Yao; Yang, Yang; Zhang, Hongye; Huang, Xianfu 收藏 \| 浏览/下载：11/0 \| 提交时间：2024/06/27 Residual stress in interface micro-region SiCf/Ti17 composites Micro-slotting method Subset geometric phase analysis (S-GPA)
	Impact and post-impact behaviours of steel-reinforced concrete-filled steel tubular columns after exposure to fire 期刊论文 STRUCTURES, 2022, 卷号: 44, 页码: 680-697 作者: Ji, Sun-Hang; Wang, Wen-Da; Xian, Wei 收藏 \| 浏览/下载：46/0 \| 提交时间：2022/09/22 Finite element analysis (FEA) model Post-fire Lateral impact Residual capacity Simplified methods Steel-reinforced concrete-filled steel tube (SRCFST)
	A Simulation Study on the Effect of Residual Stress on the Multi-Layer Selective Laser Melting Processes Considering Solid-State Phase Transformation 期刊论文 MATERIALS, 2022, 卷号: 15, 期号: 20, 页码: 16 作者: Li,Xiao; Zhang,Ming; Qi,Junfeng; Yang ZM(杨正茂); Jiao,Zhonghua 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/11/21 additive manufacturing residual stress laser deposition thermo-mechanical modeling finite element analysis
	A comparison of contributions of individual muscle and combination muscles to interaction force prediction using KPCA-DRSN model 期刊论文 FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 卷号: 10 作者: Lu, Wei; Gao, Lifu; Cao, Huibin; Li, Zebin; Wang, Daqing 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/12/23 surface electromyography kernel principal component analysis deep residual shrinkage network mean impact value interaction force prediction
	Finite Element Prediction of Residual Stress in Rhombic Dodecahedron Ti-6Al-4V Titanium Alloy Additively Manufactured by Electron Beam Melting 期刊论文 ACTA METALLURGICA SINICA-ENGLISH LETTERS, 2022, 页码: 13 作者: Zhang, Shangzhou; Wang, Yuankang; Zhou, Bing; Meng, Fanchao; Zhang, Hua 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/09/16 Electron beam melting Ti-6Al-4V Rhombic dodecahedron Residual stress Finite element analysis Parametric study
	A shape-guided deep residual network for automated CT lung segmentation 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 250, 页码: 10 作者: Yang, Lei; Gu, Yuge; Huo, Benyan; Liu, Yanhong; Bian, Guibin 收藏 \| 浏览/下载：58/0 \| 提交时间：2022/09/19 Deep network architecture Medical image analysis Shape stream network Residual unit Attention fusion unit
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	Milling residual stress of macro-forecast based on RBF and micro-analysis based on molecular dynamics 期刊论文 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 卷号: 28, 期号: 5, 页码: 1385-1392 作者: Jin, Lan; Zhang, Xuefeng; Xie, Liming 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/06/20 Forecasting Functions Milling (machining) Molecular dynamics Residual stresses Surface stress Turning Cutting parameters Function analysis Micro analysis Neural network predictions Performance Prediction accuracy Radial basis function neural networks (RBF) Simulation Surface residual stress Workpiece
	Post-earthquake fire resistance of stainless steel K-joints considering gradient temperature effect 期刊论文 Journal of Constructional Steel Research, 2022, 卷号: 192 作者: Xu, Jixiang; Wu, Shuge; Han, Jianping; Wang, Jianjun; Li, Zhanjie 收藏 \| 浏览/下载：39/0 \| 提交时间：2022/04/21 Computation theory Earthquakes Fire resistance Software testing Stainless steel Transient analysis Damage variables Gradient temperature K-joint Parameter studies Post-earthquake fire resistance Post-earthquake fires Residual deformation Stainless steel K-joint Stress deformations Wall thickness ratios
	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration

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