Hu Yunhan

Ms. Hu Yunhan

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 June 2026 in SSRN Electronic Journal
Verified
Preprint
Open access
HYHu Yunhan
Hu Yunhan
YLYun Lin
Yun Lin
ZGZhong-Yuan Gu
Zhong-Yuan Gu
TMTianxing Ma
Tianxing Ma
To address insufficient dynamic characterization and unsystematic multi-index integration in tailings dam risk assessment, a comprehensive measurement method coupling numerical simulation with uncertain measure theory is proposed. A pyrite tailings reservoir was taken as the case study. FLOW-3D was used to perform three‑dimensional water‑sediment coupled dam‑break simulations, from which key dynamic parameters (maximum deposition depth and peak flow velocity) were measured. The 3DMine model was coupled to quantify inundation extent and economic losses. A four‑index evaluation system was constructed, and linear uncertain measure functions were applied for risk classification under three dam‑height scenarios (60 m, 63.5 m, and 65 m). Measured results show that, as dam height increases, breach initiation advances from 39 s to 28 s, maximum deposition depth rises from 4.35 m to 5.26 m, and peak velocity increases from 14.88 m/s to 15.22 m/s. The 370 m side drift remains safe, while the 352 m side drift, concentrator plant, and office area become inundated. Risk classification yields Grade III/II for 60 m, Grade IV/II for 63.5 m, and Grade IV for 65 m. The proposed measurement‑based methodology enables systematic quantitative evaluation and supports dam‑height optimization and downstream disaster mitigation.

28 September 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HYHu Yunhan
Hu Yunhan
Yun LinYun Lin
Yun Lin
ZGZhongyuan Gu
Zhongyuan Gu
TMTianxing Ma
Tianxing Ma
To address insufficient dynamic characterization and unsystematic multi-index integration in tailings dam hazard assessment, a comprehensive measurement method coupling numerical simulation with unascertained measure theory is proposed. A pyrite tailings reservoir was taken as the case study. FLOW-3D was used to perform three-dimensional water–sediment coupled dam-break simulations, from which key dynamic parameters (maximum deposition depth and peak flow velocity) were measured. The 3DMine model was coupled to quantify inundation extent and economic losses. A four-index evaluation system was constructed, and linear unascertained measure functions were applied for risk classification under three dam-height scenarios (60 m, 63.5 m, and 65 m). Simulated results show that, as dam height increases, breach initiation advances from 39 s to 28 s, maximum deposition depth rises from 4.35 m to 5.26 m, and peak velocity increases from 14.88 m/s to 15.22 m/s. The 370 m side drift remains safe, while the 352 m side drift, concentrator plant, and office area become inundated. Risk classification yields Grade III/II for 60 m, Grade IV/II for 63.5 m, and Grade IV for 65 m. The proposed measurement-based methodology enables systematic quantitative evaluation and supports dam-height optimization and downstream disaster mitigation.