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Yu Song
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Year
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
782020
Influence of fine inclusions on the morphology and mechanical performance of lightweight foam concrete
Y Song, D Lange
Cement and Concrete Composites 124, 104264, 2021
422021
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
252021
EBOD: An ensemble-based outlier detection algorithm for noisy datasets
B Ouyang, Y Song, Y Li, G Sant, M Bauchy
Knowledge-Based Systems 231, 107400, 2021
232021
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
232020
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
232020
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
232017
Crushing Behavior and Crushing Strengths of Low-Density Foam Concrete
Y Song, D Lange
ACI Materials Journal 117 (2), 43-52, 2020
192020
Crushing performance of ultra-lightweight foam concrete with fine particle inclusions
Y Song, D Lange
Applied Sciences 9 (5), 876, 2019
192019
Effect of processing on the air void system of 3D printed concrete
A Das, Y Song, S Mantellato, T Wangler, DA Lange, RJ Flatt
Cement and Concrete Research 156, 106789, 2022
172022
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
162019
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
152021
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
152020
Predicting concrete’s strength by machine learning: Balance between accuracy and complexity of algorithms
N Ouyang, Y Song, Y Li, F Wu, H Yu, Y Wang, G Sant, M Bauchy
ACI Materials Journal 117 (6), 2020
142020
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), 522-533, 2022
11*2022
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
62018
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
52020
Decarbonizing concrete with artificial intelligence
Y Song, B Ouyang, J Chen, X Wang, K Wang, S Zhang, Y Chen, G Sant, ...
Computational Modelling of Concrete and Concrete Structures, 168-176, 2022
32022
Analysis of air-void system in hardened concrete from a three-dimensional perspective
Y Song
University of Illinois at Urbana-Champaign, 2014
22014
Unveiling the effect of composition on nuclear waste immobilization glasses’ durability by nonparametric machine learning
Y Song, X Lu, K Wang, JV Ryan, MM Smedskjaer, JD Vienna, M Bauchy
npj Materials Degradation 8 (1), 38, 2024
12024
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Articles 1–20