Yongming Liu

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Sankaran MahadevanJohn R. Murray Sr. Professor of EngineeringAdresse e-mail validée de vanderbilt.edu
Yibing XiangUTC Aerospace SystemAdresse e-mail validée de utas.utc.com
Jie ChenVirginia TechAdresse e-mail validée de vt.edu
Xuefei GuanSiemens Corporate Research, Princeton NJAdresse e-mail validée de siemens.com
Yutian PangPostDoc at UT AustinAdresse e-mail validée de asu.edu
Jingjing HeBeihang UniversityAdresse e-mail validée de buaa.edu.cn
Hailong ChenUniversity of Kentucky, Idaho National Laboratory, Arizona State University, University of FloridaAdresse e-mail validée de uky.edu
Yang Jiao (焦阳)Professor of Materials Science & Engineering, Dept. of Physics, Arizona State UniversityAdresse e-mail validée de asu.edu
Kai GoebelFragum GlobalAdresse e-mail validée de fragumglobal.com
Jueming HuUniversity of North DakotaAdresse e-mail validée de und.edu
Abhinav SaxenaGE Aerospace ResearchAdresse e-mail validée de ge.com
Yi GaoAdresse e-mail validée de asu.edu
Yuhao WangArizona State UniversityAdresse e-mail validée de asu.edu
Xuhui ZhangAssociate Professor, College of Civil Engineering and Mechanics, Xiangtan University, 41105 Xiangtan, ChinaAdresse e-mail validée de xtu.edu.cn
Haoyang WeiArizona State UniversityAdresse e-mail validée de asu.edu
Yang YuPennsylvania State UniversityAdresse e-mail validée de psu.edu
Tishun PengSecurityScorecardAdresse e-mail validée de asu.edu
Fraaz TahirArizona State UniversityAdresse e-mail validée de asu.edu
Hao YanArizona State UniversityAdresse e-mail validée de asu.edu
Jose CelayaSchlumberger, Software Technology and Innovation CenterAdresse e-mail validée de slb.com

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Yongming Liu

Arizona State University

Adresse e-mail validée de asu.edu - Page d'accueil

fatigue and fracture mechanics probabilistic methods air traffic physics guided machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Probabilistic fatigue life prediction using an equivalent initial flaw size distribution Y Liu, S Mahadevan International Journal of Fatigue 31 (3), 476-487, 2009	348	2009
Multiaxial high-cycle fatigue criterion and life prediction for metals Y Liu, S Mahadevan International Journal of Fatigue 27 (7), 790-800, 2005	303	2005
Fatigue crack initiation life prediction of railroad wheels Y Liu, B Stratman, S Mahadevan International journal of fatigue 28 (7), 747-756, 2006	224	2006
Microstructure representation and reconstruction of heterogeneous materials via deep belief network for computational material design R Cang, Y Xu, S Chen, Y Liu, Y Jiao, M Yi Ren Journal of Mechanical Design 139 (7), 071404, 2017	195	2017
Fatigue modeling using neural networks: A comprehensive review J Chen, Y Liu Fatigue & Fracture of Engineering Materials & Structures 45 (4), 945-979, 2022	189	2022
Probabilistic prediction with Bayesian updating for strength degradation of RC bridge beams Y Ma, J Zhang, L Wang, Y Liu Structural Safety 44, 102-109, 2013	175	2013
Structural health monitoring of railroad wheels using wheel impact load detectors B Stratman, Y Liu, S Mahadevan Journal of failure analysis and prevention 7, 218-225, 2007	166	2007
Stochastic fatigue damage modeling under variable amplitude loading Y Liu, S Mahadevan International Journal of Fatigue 29 (6), 1149-1161, 2007	163	2007
In-situ fatigue life prognosis for composite laminates based on stiffness degradation T Peng, Y Liu, A Saxena, K Goebel Composite Structures 132, 155-165, 2015	145	2015
A unified multiaxial fatigue damage model for isotropic and anisotropic materials Y Liu, S Mahadevan International journal of fatigue 29 (2), 347-359, 2007	137	2007
Structural response reconstruction based on empirical mode decomposition in time domain J He, X Guan, Y Liu Mechanical Systems and Signal Processing 28, 348-366, 2012	136	2012
A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating J Yang, J He, X Guan, D Wang, H Chen, W Zhang, Y Liu Mechanical Systems and Signal Processing 78, 118-133, 2016	131	2016
Probabilistic physics-guided machine learning for fatigue data analysis J Chen, Y Liu Expert Systems with Applications 168, 114316, 2021	130	2021
Crack growth-based fatigue life prediction using an equivalent initial flaw model. Part I: Uniaxial loading Y Xiang, Z Lu, Y Liu International Journal of Fatigue 32 (2), 341-349, 2010	128	2010
Analysis of subsurface crack propagation under rolling contact loading in railroad wheels using FEM Y Liu, L Liu, S Mahadevan Engineering fracture mechanics 74 (17), 2659-2674, 2007	128	2007
Threshold stress intensity factor and crack growth rate prediction under mixed-mode loading Y Liu, S Mahadevan Engineering fracture mechanics 74 (3), 332-345, 2007	121	2007
Fatigue life prediction for aging RC beams considering corrosive environments Y Ma, Y Xiang, L Wang, J Zhang, Y Liu Engineering Structures 79, 211-221, 2014	118	2014
A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves J He, X Guan, T Peng, Y Liu, A Saxena, J Celaya, K Goebel Smart Materials and Structures 22 (10), 105007, 2013	116	2013
Model selection, updating, and averaging for probabilistic fatigue damage prognosis X Guan, R Jha, Y Liu Structural Safety 33 (3), 242-249, 2011	115	2011
A generalized 2D non-local lattice spring model for fracture simulation H Chen, E Lin, Y Jiao, Y Liu Computational Mechanics 54, 1541-1558, 2014	113	2014

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