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Jingjing He
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Cited by
Year
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
1362012
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
1312016
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
1162013
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
J Chen, B Diao, J He, S Pang, X Guan
International Journal of Fatigue 110, 153-161, 2018
842018
Microstructure evolution and mechanical properties in a gas tungsten arc welded Fe42Mn28Co10Cr15Si5 metastable high entropy alloy
J Shen, P Agrawal, TA Rodrigues, JG Lopes, N Schell, J He, Z Zeng, ...
Materials Science and Engineering: A 867, 144722, 2023
772023
An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations
X Guan, J He, R Jha, Y Liu
Reliability Engineering & System Safety 97 (1), 1-13, 2012
712012
A Bayesian fusion method for composite damage identification using Lamb wave
H Huo, J He, X Guan
Structural Health Monitoring 20 (5), 2337-2359, 2021
612021
A fatigue crack size evaluation method based on lamb wave simulation and limited experimental data
J He, Y Ran, B Liu, J Yang, X Guan
Sensors 17 (9), 2097, 2017
602017
A Lamb wave quantification model for inclined cracks with experimental validation
HE Jingjing, HUO Haode, G Xuefei, Y Jinsong
Chinese Journal of Aeronautics 34 (2), 601-611, 2021
542021
A model assessment method for predicting structural fatigue life using Lamb waves
D Wang, J He, X Guan, J Yang, W Zhang
Ultrasonics 84, 319-328, 2018
472018
Lamb wave damage quantification using GA-based LS-SVM
F Sun, N Wang, J He, X Guan, J Yang
Materials 10 (6), 648, 2017
442017
In-situ SEM investigation and modeling of small crack growth behavior of additively manufactured titanium alloy
X Wang, Y Zhao, L Wang, L Wei, J He, X Guan
International Journal of Fatigue 149, 106303, 2021
432021
Probabilistic fatigue damage prognosis of lap joint using Bayesian updating
T Peng, J He, Y Xiang, Y Liu, A Saxena, J Celaya, K Goebel
Journal of Intelligent Material Systems and Structures 26 (8), 965-979, 2015
422015
Application of artificial neural networks for quantitative damage detection in unidirectional composite structures based on Lamb waves
C Qian, Y Ran, J He, Y Ren, B Sun, W Zhang, R Wang
Advances in Mechanical Engineering 12 (3), 1687814020914732, 2020
392020
A novel mode shape reconstruction method for damage diagnosis of cracked beam
J He, Y Zhou
Mechanical Systems and Signal Processing 122, 433-447, 2019
382019
Fatigue performance and acoustic emission behavior of remanufactured low-carbon steel made by wire and arc additive manufacturing
J He, X Feng, X Wang, X Guan
International Journal of Fatigue 165, 107190, 2022
362022
An asymptotic stochastic response surface approach to reliability assessment under multi-source heterogeneous uncertainties
J He, M Huang, W Wang, S Wang, X Guan
Reliability Engineering & System Safety 215, 107804, 2021
352021
Three-dimensional damage quantification of low velocity impact damage in thin composite plates using phased-array ultrasound
X Wang, J He, W Guo, X Guan
Ultrasonics 110, 106264, 2021
342021
Life time extension of turbine rotating components under risk constraints: A state-of-the-art review and case study
X Guan, J He
International Journal of Fatigue 129, 104799, 2019
322019
Time domain strain/stress reconstruction based on empirical mode decomposition: numerical study and experimental validation
J He, Y Zhou, X Guan, W Zhang, W Zhang, Y Liu
Sensors 16 (8), 1290, 2016
322016
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