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Prof Tuan Ngo, FTSE
Prof Tuan Ngo, FTSE
Research Program Leader - Building 4.0 CRC & Research Director of Centre for Advanced Manufacturing
Geverifieerd e-mailadres voor unimelb.edu.au - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
TD Ngo, A Kashani, G Imbalzano, KTQ Nguyen, D Hui
Composites Part B: Engineering 143, 172-196, 2018
67442018
Blast loading and blast effects on structures–an overview
T Ngo, P Mendis, A Gupta, J Ramsay
Electronic journal of structural engineering, 76-91, 2007
9922007
Auxetic metamaterials and structures: a review
X Ren, R Das, P Tran, TD Ngo, YM Xie
Smart materials and structures 27 (2), 023001, 2018
8922018
Life cycle greenhouse gas emissions and energy analysis of prefabricated reusable building modules
L Aye, T Ngo, RH Crawford, R Gammampila, P Mendis
Energy and buildings 47, 159-168, 2012
5012012
New advancements, challenges and opportunities of multi-storey modular buildings–A state-of-the-art review
W Ferdous, Y Bai, TD Ngo, A Manalo, P Mendis
Engineering structures 183, 883-893, 2019
4622019
Vibration and shock handbook
CW De Silva
CRC, 2005
4072005
Blast resistance of auxetic and honeycomb sandwich panels: Comparisons and parametric designs
G Imbalzano, S Linforth, TD Ngo, PVS Lee, P Tran
Composite Structures 183, 242-261, 2018
3822018
Wind loading on tall buildings
P Mendis, T Ngo, N Haritos, A Hira, B Samali, J Cheung
Electronic Journal of Structural Engineering, 2007
3672007
A numerical study of auxetic composite panels under blast loadings
G Imbalzano, P Tran, TD Ngo, PVS Lee
Composite Structures 135, 339-352, 2016
3582016
Impact of Australia's catastrophic 2019/20 bushfire season on communities and environment. Retrospective analysis and current trends
AI Filkov, T Ngo, S Matthews, S Telfer, TD Penman
Journal of Safety Science and Resilience 1 (1), 44-56, 2020
3442020
Impact and close-in blast response of auxetic honeycomb-cored sandwich panels: Experimental tests and numerical simulations
C Qi, A Remennikov, LZ Pei, S Yang, ZH Yu, TD Ngo
Composite structures 180, 161-178, 2017
3122017
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
DK Bui, T Nguyen, JS Chou, H Nguyen-Xuan, TD Ngo
Construction and Building Materials 180, 320-333, 2018
3012018
Computer vision techniques in construction: a critical review
S Xu, J Wang, W Shou, T Ngo, AM Sadick, X Wang
Archives of Computational Methods in Engineering 28, 3383-3397, 2021
2722021
Three-dimensional modelling of auxetic sandwich panels for localised impact resistance
G Imbalzano, P Tran, TD Ngo, PVS Lee
Journal of Sandwich Structures & Materials 19 (3), 291-316, 2017
2672017
Bimaterial 3D printing and numerical analysis of bio-inspired composite structures under in-plane and transverse loadings
P Tran, TD Ngo, A Ghazlan, D Hui
Composites Part B: Engineering 108, 210-223, 2017
2482017
Performance review of prefabricated building systems and future research in Australia
S Navaratnam, T Ngo, T Gunawardena, D Henderson
Buildings 9 (2), 38, 2019
2452019
A review on modular construction for high-rise buildings
HT Thai, T Ngo, B Uy
Structures 28, 1265-1290, 2020
2242020
Enhancing the strength of pre-made foams for foam concrete applications
A Hajimohammadi, T Ngo, P Mendis
Cement and Concrete Composites 87, 164-171, 2018
2132018
Deep neural network with high‐order neuron for the prediction of foamed concrete strength
T Nguyen, A Kashani, T Ngo, S Bordas
Computer‐Aided Civil and Infrastructure Engineering 34 (4), 316-332, 2019
2002019
Investigation of strength and hydration characteristics in nano-silica incorporated cement paste
M Rupasinghe, R San Nicolas, P Mendis, M Sofi, T Ngo
Cement and Concrete Composites 80, 17-30, 2017
1952017
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Artikelen 1–20