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Dynamical Performance of Graphene Aerogel with Ductile and Brittle Characteristics 期刊论文
ADVANCED FUNCTIONAL MATERIALS, 2024, 页码: 11
作者:  Xiao KL(肖凯璐);  Zhang, Wei;  Zhu, Mingquan;  Yin QY(殷秋运);  Fortunelli, Alessandro;  Goddard III, William A;  Wu XQ(吴先前)
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/14
asymmetry expanded failure mode  dynamical performance  energy dissipation behavior  graphene aerogel  
Statistical characterization of specimen size and temperature dependence of cleavage fracture toughness of ferritic steels 期刊论文
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2024, 页码: 8
作者:  Lei, Weisheng;  Qian GA(钱桂安);  Zhang, Peilei
收藏  |  浏览/下载：30/0  |  提交时间：2024/04/15
cleavage fracture toughness  ferritic steels  specimen size effect  statistical model  temperature dependence  
Low-cycle and dwell fatigue properties for a near alpha titanium alloy Ti-6Al-3Nb-2Zr-1Mo 期刊论文
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 卷号: 29, 页码: 2204-2215
作者:  Zhu, Junchen;  Xie JJ(谢季佳);  Wang, Jun;  Xia, Xinglong;  Lin, Zhaodong;  Qian GA(钱桂安);  Zhao, Aiguo
收藏  |  浏览/下载：7/0  |  提交时间：2024/04/29
Ti6321  Low cycle fatigue  Dwell fatigue  Life prediction  Plastic strain energy  
Microstructure features induced by fatigue crack initiation up to very-high-cycle regime for an additively manufactured aluminium alloy 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 173, 页码: 247-260
作者:  Pan XN(潘向南);  Du, Leiming;  Qian GA(钱桂安);  Hong YS(洪友士)
收藏  |  浏览/下载：156/0  |  提交时间：2023/11/06
Aluminium alloy  Additive manufacturing  Nanograins  Very-high-cycle fatigue (VHCF)  Crack initiation  Mean stress  
Validation of local approach-based statistical models for cleavage fracture of ferritic steels in uniaxial tension 期刊论文
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2024, 页码: 8
作者:  Lei, WeiSheng;  Qian GA(钱桂安);  Zhang, Peilei
收藏  |  浏览/下载：50/0  |  提交时间：2024/03/11
cleavage fracture  ferritic steel  plastic deformation  statistical model  uniaxial tension  
Microstructural insights into fatigue short crack propagation resistance and rate fluctuation in a Ni-based superalloy manufactured by laser powder bed fusion 期刊论文
INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 卷号: 171, 页码: 15
作者:  Li JH(李江华);  Huang, Qinghui;  Wang, Zhiyang;  Zhang NY(张宁豫);  Chen, Gang;  Qian GA(钱桂安)
Adobe PDF(17525Kb)  |  收藏  |  浏览/下载：76/4  |  提交时间：2024/01/02
Ni -based superalloy  Fatigue short cracks  Microstructure  Propagation model  
Laser powder bed fused 304L steel shot-peened with various ceramic shot sizes: Surface/subsurface characteristics, tensile behavior, and fatigue behavior 期刊论文
INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 卷号: 171, 页码: 21
作者:  Zhang, Hongzhuang;  Cao, Shujie;  Li, Changyou;  Li, Bing;  Qian GA(钱桂安)
Adobe PDF(50378Kb)  |  收藏  |  浏览/下载：81/7  |  提交时间：2024/01/01
Laser powder bed fusion  Shot peening  Shot size  Microstructural evolution  Strengthening mechanism  
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning 期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 卷号: 15, 期号: 9, 页码: 2350078
作者:  Zhou R(周睿);  Xu XH(许向红)
Adobe PDF(1896Kb)  |  收藏  |  浏览/下载：74/4  |  提交时间：2023/10/23
Contact force of pantograph-catenary system  selective crow search algorithm  surrogate model  multi-parameter optimization  
Short-range order and its impacts on the BCC MoNbTaW multi-principal element alloy by the machine-learning potential 期刊论文
ACTA MATERIALIA, 2023, 卷号: 255, 页码: 119041
作者:  Santosflorez, Pedro A;  Dai SC(戴仕诚);  Yao, Yi;  Yanxon, Howard;  Li, Lin;  Wang YJ(王云江);  Zhu, Qiang;  Yu, Xiaoxiang
Adobe PDF(6513Kb)  |  收藏  |  浏览/下载：76/2  |  提交时间：2023/07/17
Multi -principal element alloys  Short-range order  Machine -learning potential  
Fatigue and Fracture Behavior of AlSi10Mg Manufactured by Selective Laser Melting: A Review 期刊论文
PHYSICAL MESOMECHANICS, 2023, 卷号: 26, 期号: 4, 页码: 367-390
作者:  Jiang, Z;  Sun, J;  Berto, F;  Wang, X;  Qian GA(钱桂安)
Adobe PDF(10987Kb)  |  收藏  |  浏览/下载：63/6  |  提交时间：2023/09/05
selective laser melting  AlSi10Mg  crack initiation  post-treatment  fatigue life prediction