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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ao, X., Hao, S., Zhang, Y., & Xu, W. (2025). Multi-Objective Automated Machine Learning for Inversion of Mesoscopic Parameters in Discrete Element Contact Models. Applied Sciences, 15(15), 8181-8181. External link
Hao, S., Xu, W., May, B. M., Zhang, Z., & Zhang, Y. (2025). Experimental study on the micro-mechanism and compressive strength of concrete with calcined coal gangue coarse aggregate. Case Studies in Construction Materials, 22, e04680 (20 pages). Available
Zhang, Y., Li, L., Gélinas, L.-P., & Ouellet, S. (2026). Numerical and experimental studies of the natural mixing behavior between an uncemented paste backfill and dumped waste rock in stopes from laboratory toward field conditions. Part II: Application and prediction of the validated and calibrated numerical model. Deep Resources Engineering, 100236. External link
Zhang, Y., Li, L., Ouellet, S., & Gélinas, L.-P. (2025). Numerical and experimental studies of the natural mixing behavior between an uncemented paste backfill and dumped waste rock in stopes from laboratory toward field conditions. Part I: Calibration and validation of a numerical model. Deep Resources Engineering, 100232 (10 pages). External link
Zhang, Y. (2024). Investigation of the Natural Mixing Behavior of Dumped Waste Rock and Paste Backfill [Ph.D. thesis, Polytechnique Montréal]. Available
Zhang, Y., & Li, L. (2024). Introduction and implementation of fluid forces in a DEM code for simulating particle settlement in fluids. Powder Technology, 119238 (18 pages). Available
Zhang, Y., & Li, L. (2024). Optimization of Discrete Element Method Model to Obtain Stable and Reliable Numerical Results of Mechanical Response of Granular Materials. Minerals, 14(8), 758 (18 pages). External link
Zhang, Y., & Li, L. (2023, April). Natural mixing behaviour of waste rocks poured in a paste backfill [Paper]. 25th International Conference on Paste, Thickened and Filtered Tailings (Paste 2023), Banff, Canada. External link
Zhang, Y., & Li, L. (2023). Experimental study on the natural mixing behaviour of waste rocks poured in a paste backfill. International Journal of Mining, Reclamation and Environment, 25 pages. Available
