Yu Song
Title
Cited by
Cited by
Year
Advances in measuring air-void parameters in hardened concrete using a flatbed scanner
Y Song, R Zou, DI Castaneda, KA Riding, DA Lange
Journal of Testing and Evaluation 45 (5), 1713-1725, 2017
112017
Deep learning-based automated image segmentation for concrete petrographic analysis
Y Song, Z Huang, C Shen, H Shi, D Lange
Cement and concrete research 135, 2020
82020
Deep learning-based automated image segmentation for concrete petrographic analysis
DAL Yu Song, Zilong Huang, Chuanyue Shen, Honghui Shi
arXiv, 2020
8*2020
Influence of Pumping/Extrusion on the Air-Void System of 3D Printed Concrete
A Das, Y Song, S Mantellato, T Wangler, R Flatt, D Lange
Second RILEM International Conference on Concrete and Digital Fabrication, 2020
62020
Influence of Pumping/Extrusion on the Air-void System of 3D Printed Concrete
A Das, Y Song, S Mantellato, T Wangler, R Flatt, D Lange
Digital Concrete 2020 - 2nd RILEM International Conference on Concrete and …, 2020
62020
Crushing performance of ultra-lightweight foam concrete with fine particle inclusions
Y Song, D Lange
Applied Sciences 9 (5), 876, 2019
52019
A performance-based approach to concrete freeze-thaw durability
Y Song, A Das, DA Lange, H Mosavi, K Riding
ASME/IEEE Joint Rail Conference 50978, V001T01A010, 2018
42018
A 3D petrographic analysis for concrete freeze-thaw protection
Y Song, R Damiani, C Shen, D Castaneda, D Lange
Cement and concrete research 128, 2019
32019
Measuring Young’s Modulus of Low-Density Foam Concrete Using Resonant Frequency
Y Song, DA Lange
Preprints, 2019
32019
Machine Learning Enables Rapid Screening of Reactive Fly Ashes Based on Their Network Topology
Y Song, K Yang, J Chen, K Wang, G Sant, M Bauchy
ACS Sustainable Chemistry & Engineering 9 (7), 2639-2650, 2021
22021
Crushing Behavior and Crushing Strengths of Low-Density Foam Concrete
Y Song, D Lange
ACI Materials Journal 117 (2), 43-52, 2020
22020
Analysis of air-void system in hardened concrete from a three-dimensional perspective
Y Song
University of Illinois at Urbana-Champaign, 2014
22014
Predicting Concrete's Strength by Machine Learning: Balance between Accuracy and Complexity of Algorithms.
B Ouyang, Y Song, Y Li, F Wu, H Yu, Y Wang, G Sant, M Bauchy
ACI Materials Journal 117 (6), 2020
12020
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning
B Ouyang, Y Li, Y Song, F Wu, H Yu, Y Wang, M Bauchy, G Sant
arXiv preprint arXiv:2004.14407, 2020
12020
Image-based restoration of the concrete void system using 2D-to-3D unfolding technique
Y Song, C Shen, R Damiani, D Lange
Construction and Building Materials, 2020
12020
Measuring Dynamic Young’s Modulus of Low-Density Foam Concrete Using Resonant Frequency Test
Y Song, DA Lange
Journal of Testing and Evaluation 50 (1), 2021
2021
Using machine learning to predict concrete's strength: Learning from small datasets
B Ouyang, Y Song, Y Li, F Wu, Y Huizi, Y Wang, Y Zhanyuan, X Luo, ...
Engineering Research Express, 2021
2021
Decoding the genome of cement by Gaussian Process Regression
Y Song, Y Wang, K Wang, G Sant, M Bauchy
Neural Information Processing Systems (NeurIPS) 2020, workshop on machine …, 2020
2020
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