ShuaiLong Lian

Dr. ShuaiLong Lian


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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30 August 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
NZNing Zhao
Ning Zhao
SLShuaiLong Lian
ShuaiLong Lian
Researching the mechanical characteristics of concrete subjected to the freeze–thaw cycle is crucial for building engineering in cold climates. As a result, uniaxial compression tests were performed on concrete samples exposed to various freeze–thaw (F–T) cycles, and the measurements of the pore size distribution, porosity, and P-wave velocity of the saturated concrete samples were obtained, both before and after being exposed to the F–T cycles. Concrete’s F–T damage mechanism and damage evolution model were thoroughly examined. Using rock structure and moisture analysis test equipment to observe the T2 spectrum, the results showed that the F–T cycles can cause the internal structure of the samples to deteriorate. Porosity and F–T cycles have a positive correlation, although P-wave velocity has a negative correlation with the F–T cycles. As the F–T cycles increased, the specimens’ peak strength and elastic modulus steadily declined, while the peak strain clearly exhibited an increasing trend. A microscopic F–T damage model that takes into account the pore size distribution was developed, based on the relative changes in the pore structure distribution (PSD), before and after the F–T cycles. The concrete sample damage evolution law under various F–T cycles was examined using the following metrics: total energy, pore size distribution, static and dynamic elastic moduli, porosity, and P-wave velocity. Uniaxial compressive strength (UCS) and peak strain tests were used to evaluate the accuracy of the pore size distribution damage model, as well as that of five other widely used damage models.

21 October 2024 in Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Verified
Journal Article
Open access
PDF file
SLShuaiLong Lian
ShuaiLong Lian
BJBi Jing
Bi Jing
YZYu Zhao
Yu Zhao
CWChaolin Wang
Chaolin Wang
LLlian shuai long
lian shuai long
KZKun Zheng
Kun Zheng
To further raise the gas extraction efficiency of the tight sandstone, the liquid nitrogen (LN2) freezing-thawing cycles method can be employed to improve the permeability of the low-permeability reservoirs. Permeability is generally regarded as a macroscopic description of the pore structure and usually has functional relationship to pore structure properties. The permeability of the rock is closely related to the change of microscopic pore structure. The permeability of rock depends on how the subzero temperatures changed the microscopic pore structure of rock, but it has not yet been confirmed obviously. In this study, the nuclear magnetic resonance (NMR) technique was adopted to investigate the pore structure evolution law and permeability of the tight sandstone with different LN2 freezing-thawing cycles. The results demonstrate that the LN2 freezing-thawing cycles promotes pore development and micro-fracture connection, and enhances the pore connectivity. The proportion of meso-pores, macro-pores and micro-fractures in the sandstone samples increases significantly, which provides a channel for the sandstone gas flow and extraction. Total porosity and effective porosity of the samples present a trend of rapid increase as the number of LN2 freezing-thawing cycles increasing, while the residual porosity decreases as the number of LN2 freezing-thawing cycles increasing. Coates model, SDR model (mean T2 model) and PP model were used to calculate and evaluate the permeability of the samples subjected to different LN2 freezing-thawing cycles. Furthermore, PP model can provide a better permeability estimate than the classical Coates and SDR model.

24 February 2026 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
SLShuaiLong Lian
ShuaiLong Lian
JHJingjing Huang
Jingjing Huang
WWWen Wan
Wen Wan
YZYanlin Zhao
Yanlin Zhao
XLXuan Li
Xuan Li
XWXuan Wang
Xuan Wang

8 January 2026 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
JHJingjing Huang
Jingjing Huang
YZYanlin Zhao
Yanlin Zhao
SLShuaiLong Lian
ShuaiLong Lian
WWWen Wan
Wen Wan
QWQiuhong Wu
Qiuhong Wu
LZLianyang Zhang
Lianyang Zhang

9 July 2026 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
ZZZhiqiang Zhou
Zhiqiang Zhou
SLShuaiLong Lian
ShuaiLong Lian
QCQingzhi Chen
Qingzhi Chen
WYWeixiao Yu
Weixiao Yu
TQTian Qiu
Tian Qiu

7 September 2026 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
XYXiaobing Yan
Xiaobing Yan
YZYanlin Zhao
Yanlin Zhao
JHJingjing Huang
Jingjing Huang
SLShuaiLong Lian
ShuaiLong Lian
XLXuan Li
Xuan Li
JYJiaxing Yang
Jiaxing Yang