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Navid Zobeiry
Navid Zobeiry
Associate Professor, University of Washington
Подтвержден адрес электронной почты в домене uw.edu - Главная страница
Название
Процитировано
Процитировано
Год
A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications
N Zobeiry, KD Humfeld
Engineering Applications of Artificial Intelligence 101, 104232, 2021
3222021
Theory-guided machine learning for damage characterization of composites
N Zobeiry, J Reiner, R Vaziri
Composite Structures 246, 112407, 2020
1392020
Characterization of strain-softening behavior and failure mechanisms of composites under tension and compression
N Zobeiry, R Vaziri, A Poursartip
Composites Part A: Applied Science and Manufacturing 68, 29-41, 2015
1162015
Multiscale characterization and representation of composite materials during processing
N Zobeiry, A Forghani, C Li, K Gordnian, R Thorpe, R Vaziri, G Fernlund, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016
1092016
Experimental study of damage propagation in over-height compact tension tests
X Li, SR Hallett, MR Wisnom, N Zobeiry, R Vaziri, A Poursartip
Composites Part A: Applied Science and Manufacturing 40 (12), 1891-1899, 2009
1042009
The origins of residual stress and its evaluation in composite materials
N Zobeiry, A Poursartip
Structural Integrity and Durability of Advanced Composites: Innovative …, 2015
872015
A structural modelling framework for prediction of damage development and failure of composite laminates
A Forghani, N Zobeiry, A Poursartip, R Vaziri
Journal of Composite Materials 47 (20-21), 2553-2573, 2013
852013
Micro-level mechanisms of fiber waviness and wrinkling during hot drape forming of unidirectional prepreg composites
K Farnand, N Zobeiry, A Poursartip, G Fernlund
Composites Part A: Applied Science and Manufacturing 103, 168-177, 2017
782017
Machine learning assisted characterisation and simulation of compressive damage in composite laminates
J Reiner, R Vaziri, N Zobeiry
Composite Structures 273, 114290, 2021
692021
Calibration and validation of a continuum damage mechanics model in aid of axial crush simulation of braided composite tubes
C McGregor, N Zobeiry, R Vaziri, A Poursartip, X Xiao
Composites Part A: Applied Science and Manufacturing 95, 208-219, 2017
672017
A constitutive model for progressive compressive failure of composites
C McGregor, N Zobeiry, R Vaziri, A Poursartip
Journal of composite materials 42 (25), 2687-2716, 2008
622008
An Overview of Continuum Damage Models used to Simulate Intra-laminar Failure Mechanisms in Advanced Composite Materials
A Forghani, M Shahbazi, N Zobeiry, A Poursartip, R Vaziri
Numerical Modelling of Failure in Advanced Composite Materials, 151-173, 2015
552015
A machine learning framework for real-time inverse modeling and multi-objective process optimization of composites for active manufacturing control
KD Humfeld, D Gu, GA Butler, K Nelson, N Zobeiry
Composites Part B: Engineering 223, 109150, 2021
532021
Effect of temperature history during additive manufacturing on crystalline morphology of PEEK
A Lee, M Wynn, L Quigley, M Salviato, N Zobeiry
Advances in Industrial and Manufacturing Engineering 4, 100085, 2022
492022
2.3 Autoclave Processing
G Fernlund, C Mobuchon, N Zobeiry
Comprehensive Composite Materials II 2, 42-62, 2018
492018
Effective calibration and validation of a nonlocal continuum damage model for laminated composites
N Zobeiry, A Forghani, C McGregor, S McClennan, R Vaziri, A Poursartip
Composite Structures 173, 188-195, 2017
432017
Analysis of process-induced deformations and residual stresses in curved composite parts considering transverse shear stress and thickness stretching
E Zappino, N Zobeiry, M Petrolo, R Vaziri, E Carrera, A Poursartip
Composite Structures 241, 112057, 2020
412020
A review of aging, degradation, and reusability of PA12 powders in selective laser sintering additive manufacturing
F Yang, N Zobeiry, R Mamidala, X Chen
Materials Today Communications 34, 105279, 2023
392023
Implementation of a probabilistic machine learning strategy for failure predictions of adhesively bonded joints using cohesive zone modeling
Y Freed, M Salviato, N Zobeiry
International Journal of Adhesion and Adhesives 118, 103226, 2022
362022
Advances in the characterization of residual stress in composite structures
C Li, N Zobeiry, K Keil, S Chatterjee, A Poursartip
Int. SAMPE Tech. Conf, 2014
332014
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Статьи 1–20