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Liu Chu
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Year
Vibration analysis of vacancy defected graphene sheets by Monte Carlo based finite element method
L Chu, J Shi, E Souza de Cursi
Nanomaterials 8 (7), 489, 2018
282018
Reliability based optimization with metaheuristic algorithms and Latin hypercube sampling based surrogate models
L Chu, ES De Cursi, A El Hami, M Eid
Appl. Comput. Math 4 (462), 10.11648, 2015
212015
A kriging surrogate model for uncertainty analysis of graphene based on a finite element method
J Shi, L Chu, R Braun
International journal of molecular sciences 20 (9), 2355, 2019
202019
The equivalent Young's modulus prediction for vacancy defected graphene under shear stress
L Chu, J Shi, R Braun
Physica E: Low-dimensional Systems and Nanostructures 110, 115-122, 2019
182019
Application of Latin hypercube sampling based kriging surrogate models in reliability assessment
L Chu, ES De Cursi, A El Hami, M Eid
Sci. J. Appl. Math. Stat 3 (6), 263-274, 2015
162015
Kriging Surrogate Model for Resonance Frequency Analysis of Dental Implants by a Latin Hypercube‐Based Finite Element Method
L Chu, J Shi, E Souza de Cursi
Applied Bionics and Biomechanics 2019 (1), 3768695, 2019
132019
Buckling analysis of vacancy-defected graphene sheets by the stochastic finite element method
L Chu, J Shi, S Ben
Materials 11 (9), 1545, 2018
112018
Sensitivity analysis for geometrical parameters of BGA in flip-chip packaging under random shear stress and thermal temperature
L Chu, P Zhou, J Shi, R Braun
IEEE Transactions on Components, Packaging and Manufacturing Technology 11 …, 2021
92021
The effects of random porosities in resonant frequencies of graphene based on the Monte Carlo stochastic finite element model
L Chu, J Shi, Y Yu, E Souza De Cursi
International Journal of Molecular Sciences 22 (9), 4814, 2021
82021
Abdelkhalak El Hami, and Mohamed Eid. Reliability based optimization with metaheuristic algorithms and Latin hypercube sampling based surrogate models
L Chu, ES De Cursi
Applied and Computational Mathematics 4 (6), 462-468, 2015
72015
The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
L Chu, J Shi, ES de Cursi
Scientific reports 11 (1), 22962, 2021
62021
Efficiency improvement of Kriging surrogate model by subset simulation in implicit expression problems
L Chu, J Shi, E Souza de Cursi, S Ben
Computational and Applied Mathematics 39 (2), 119, 2020
62020
A kriging surrogate model for the interference reduction in the settlement surveillance sensors of steel transmission towers
J Shi, L Chu, E Souza de Cursi
Applied Sciences 9 (16), 3343, 2019
62019
The Fingerprints of resonant frequency for atomic vacancy defect identification in graphene
L Chu, J Shi, E Souza de Cursi
Nanomaterials 11 (12), 3451, 2021
52021
Random Body Movement Interference Mitigation in Radar Breath Detection Based on L1 Norm
C Ma, Z Xu, B Hua, Y Zhang, Q Shi, L Chu, R Braun, J Shi
IEEE Sensors Letters 7 (12), 1-4, 2023
42023
Uncertainty quantification of stochastic defects in materials
L Chu
CRC Press, 2021
42021
The impacts of material uncertainty in electro-migration of SAC solder electronic packaging by monte carlo-based stochastic finite-element model
L Chu, J Shi, R Braun
IEEE Transactions on Components, Packaging and Manufacturing Technology 11 …, 2021
42021
A 2D frequency-domain wave based method for dynamic analysis of orthotropic solids
L Sun, X Wei, L Chu
Computers & Structures 238, 106300, 2020
42020
Uncertainty propagation in moisture absorption of flax/glass fiber reinforced hybrid composites
L Chu, J Shi, H Yu, ES de Cursi
Materials Research Express 6 (11), 115208, 2019
42019
The impacts of random distributed vacancy defects in steady-state thermal conduction of graphene
L Sun, L Chu, J Shi, E Souza de Cursi
Applied Sciences 9 (11), 2363, 2019
42019
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