Xinling Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Xinling Li has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Shihua Fu
School of Mathematical Sciences, Liaocheng University, Liaocheng, China
3 shared publications - Jianjun Wang
Research Center of Semi‐tensor Product of Matrices: Theory and Applications, School of Mathematical Sciences Liaocheng University Liaocheng P.R. China
2 shared publications - Chao Min
Southwest Petroleum University
1 shared publication - Jianli Zhao
Liaocheng University
1 shared publication - Lei Deng
Research Center of Semi-Tensor Product of Matrices: Theory and Applications, School of Mathematics and Systems Science, Liaocheng University, Liaocheng 252000, China
1 shared publication - Yuan Zhao
School of Automation, Qingdao University, Qingdao, China
1 shared publication
Latest Publications
- 18 June 2024
- Published by Springer Nature in Journal of Applied Mathematics and Computing
- Vol. 70 (5) , 4827-4850
A matrix approach to the analysis and computation of robust cycles for Boolean control networks with disturbances
- 18 June 2024
- Published by Springer Nature in Journal of Applied Mathematics and Computing
- Vol. 70 (5) , 4827-4850
A matrix approach to the analysis and computation of robust cycles for Boolean control networks with disturbances
- 3 January 2024
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 22 (1) , 84-92
Ledley Solution Method for All Feasible State Feedback Stabilizers of Boolean Control Networks With Disturbances
- 3 January 2024
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 22 (1) , 84-92
Ledley Solution Method for All Feasible State Feedback Stabilizers of Boolean Control Networks With Disturbances
- 24 August 2022
- Published by Springer Nature in Dynamic Games and Applications
- Vol. 14 (2) , 508-523
Robust Strategy Optimization of Networked Evolutionary Games with Disturbance Inputs
- 24 August 2022
- Published by Springer Nature in Dynamic Games and Applications
- Vol. 14 (2) , 508-523
Robust Strategy Optimization of Networked Evolutionary Games with Disturbance Inputs
- Open Access
Quantitative Study of the Geometrical and Hydraulic Characteristics of a Single Rock Fracture
Three-dimensional images of fractured rocks can be acquired by an X-ray micro-CT scanning technique, which allows researchers to investigate the ‘true’ inner void structure of a natural fracture without destroying the core. The 3D fractures in images can be characterised by measuring morphological properties on both fracture apertures and its trend surface, like the medial surface, that reveals the undulation of fracture planes. In a previous paper, we have proposed a novel method to generate fracture models stochastically. Based on a large number of such fracture models, in this work a modified factor was proposed for improving the performance of the cubic law by incorporating the flow-dominant characteristics, including two parameters (aperture roughness and spatial correlation length) for fracture apertures and two (surface undulation coefficient and spatial correlation length) for fracture trend-surface. We assess and validate the modified cubic law by applying it to natural fractures in images that have varying apertures and extremely bended trend-surfaces, with the permeabilities calculated by a Lattice Boltzmann Method as ‘ground truths’.
Open AccessQuantitative Study of the Geometrical and Hydraulic Characteristics of a Single Rock Fracture
Three-dimensional images of fractured rocks can be acquired by an X-ray micro-CT scanning technique, which allows researchers to investigate the ‘true’ inner void structure of a natural fracture without destroying the core. The 3D fractures in images can be characterised by measuring morphological properties on both fracture apertures and its trend surface, like the medial surface, that reveals the undulation of fracture planes. In a previous paper, we have proposed a novel method to generate fracture models stochastically. Based on a large number of such fracture models, in this work a modified factor was proposed for improving the performance of the cubic law by incorporating the flow-dominant characteristics, including two parameters (aperture roughness and spatial correlation length) for fracture apertures and two (surface undulation coefficient and spatial correlation length) for fracture trend-surface. We assess and validate the modified cubic law by applying it to natural fractures in images that have varying apertures and extremely bended trend-surfaces, with the permeabilities calculated by a Lattice Boltzmann Method as ‘ground truths’.