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Chaoshui Xu

As seen in: MDPI
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Articles

Evaluating the Accuracy of Empirical and Regression Models for Predicting Blast-Induced Fragment Size in Sublevel Caving: Ernest Henry Mine Case Study

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By Chaoshui Xu, Ahmadreza Khodayari, Peter Dare-Bryan
| preprints.org
Submitted: 16 February 2026 You are already at the latest version This study compares the accuracy of empirical and regression models for predicting the size distribution of blasted material at drawpoints in sublevel caving. Field data were sourced from Ernest Henry mine (EHM). At EHM, full-scale blasting trials were conducted under controlled conditions by varying explosive density and burden size, with fragmentation measured using laser scanning at different extraction tonnages.
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Integrating AI and Simulation for End-to-End Mine to Mill Optimisation: A Meta-Modelling Framework

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By Chaoshui Xu, Peter Dowd, Pouya Nobahar
| preprints.org
Submitted: 15 December 2025 You are already at the latest version The growing global demand for mineral resources is challenging mining operations to maintain productivity while addressing lower-grade ore and increased extraction complexity. Despite the availability of vast datasets across mining stages, much of this information remains underused in decision-making.
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Numerical Investigation of the Applicability of Preferential Grade Deportment by Size

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By Peter Dowd, Chaoshui Xu, David Lewis, Nazym Baizhiyen
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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