Qingqing Liu

Ms. Qingqing Liu

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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15 July 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
GZGuohua Zhang
Guohua Zhang
QLQingqing Liu
Qingqing Liu
YLYubo Li
Yubo Li
ZLZibo Li
Zibo Li
KJKe Jing
Ke Jing
TQTao Qin
Tao Qin
To address the issue of the low compression–tension ratio in the traditional parallel bond model (PBM), this study proposes an improved PBM incorporating a random distribution strategy of strong–weak contact groups. An L27(312) orthogonal experimental design was employed to construct 27 sets of numerical simulation schemes. Combined with Pearson correlation coefficient analysis and multivariate regression, the influence of twelve microscopic parameters on seven of the macroscopic mechanical properties of sandstone was systematically investigated, including elastic modulus (E), Poisson’s ratio (v), uniaxial compressive strength (σc), internal friction angle (φ), cohesion (c), crack damage stress ratio (σcd/σc), and compressive–tensile strength ratio (σc/σt). Based on these analyses, a quantitative relationship model between the macro and micro parameters was established and validated through numerical simulation and experimental comparison. The proposed method provides a theoretical foundation for the mechanical modeling of sandstone and the inversion of microscopic parameters.