Cited by A data mining approach for proposing a relationship to predict self-compaction concrete crack width after the self-healing period

Modified Herschel–Bulkley–Papanastasiou model considering particle size distribution to debris flow rheological properties DOI

Tianxing Ma, Rui Luo, Liangxu Shen

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

Debris flow, a typical non-Newtonian fluid, exhibits rheological behavior significantly influenced by particle size distribution. Traditional models often struggle with applicability and predictive accuracy in complex systems. This study proposes modified Herschel–Bulkley–Papanastasiou (HBP) model, incorporating distribution parameters to dynamically adjust yield stress shear viscosity, enhancing its describing debris flow under varying gradations. The model distinguishes the roles of fine coarse particles: particles reduce resistance through lubrication effects, while enhance viscosity via interlocking effects. To validate series experiments were conducted on 14 gradation conditions. Results showed HBP achieved fitting coefficients between 0.933 0.990, outperforming traditional demonstrating superior adaptability across different distributions. was further integrated into OpenFOAM framework for three-dimensional simulations flume experiment. These considered wall friction dynamic free surface changes. Comparative analysis physical revealed accurately captured behavior, dynamics, pressure field distributions channel bed In summary, overcomes limitations parameters, offering more precise versatile rheology. work provides robust theoretical numerical tool advancing prediction mitigation engineering applications.

Language: Английский

Citations

Influence of Length-to-Diameter Ratio on Static and Dynamic Behavior of Rocks: A Review and Perspective DOI

Kang Peng,

Yansong Bai,

Song Luo

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(5), P. 1109 - 1109

Published: Feb. 28, 2025

The size effect in rock mechanics has long been a challenging issue, with the length-to-diameter (L/D) ratio emerging as critical factor that received substantial attention. Understanding L/D is essential for ensuring accuracy and reliability of laboratory tests. This paper presents comprehensive review studies on rocks, examining its influence static dynamic mechanical behavior. analysis encompasses effects specimen properties, energy characteristics, failure modes, integrating findings from theoretical research experimental studies. results reveal varies significantly under different external loading conditions. Despite extensive research, mechanisms underlying remain ambiguous, unified conclusion yet to be reached. highlights importance selecting appropriate dimensions tests emphasizes need further investigation into advance understanding mechanics.

Language: Английский

Citations

A new CNN-GRU deep learning framework optimized by CHIO for precise prediction of debris flow velocity DOI

Liangxu Shen, Tianxing Ma, Hao Chen

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Language: Английский

Citations

A novel social network search and LightGBM framework for accurate prediction of blast-induced peak particle velocity DOI

Tianxing Ma,

Cuigang Chen,

Liangxu Shen

et al.

Frontiers of Structural and Civil Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

A data mining approach for proposing a relationship to predict self-compaction concrete crack width after the self-healing period DOI

S. Saber Hoseini,

Ali Seyedkazemi, Abdullah Davoudi‐Kia

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104980 - 104980

Published: April 1, 2025

Language: Английский

Citations