Yanli Qi

Dr. Yanli Qi

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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1 January 2021 in Advances in Materials Science and Engineering
Verified
Journal Article
Open access
PDF file
YQYanli Qi
Yanli Qi
MBMingzhou Bai
Mingzhou Bai
HZHao Zhou
Hao Zhou
HSHai Shi
Hai Shi
PLPengxiang Li
Pengxiang Li
BHBohu He
Bohu He
To study the mechanical properties of red clay under repeated dry and wet cycle test conditions, in this paper, the disturbed red clay in an engineering area in Liuzhou, Guangxi Province, was taken as the research object. By artificially controlling different dry and wet cycles in the laboratory, a direct shear test and triaxial consolidation drainage test were carried out on the red clay samples after different dry and wet cycles. The stress‐strain curve and change rule of corresponding c and φ values were obtained. The results showed that, in both the direct shear test and the triaxial test, the shear strength parameters of red clay decreased with an increase in the number of dry and wet cycles and the attenuation was most obvious during the first cycle. With an increase in the number of dry and wet cycles, the attenuation gradually decreased. The constitutive model of the deviatoric stress and strain curve of red clay under dry and wet cycles was a plastic‐hardening type. By analyzing the variation in parameters in the P‐H model, the relationship between c, φ, and the number of dry and wet cycles n was obtained. The results showed that the parameters had different degrees of attenuation with the action of dry and wet cycles. To explain the above rules, some samples under different drying‐wetting cycles were selected for environmental electron microscope scanning, and appropriate assumptions were made based on the microstructure.

23 October 2021 in Applied Sciences
Verified
Journal Article
Open access
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BHBohu He
Bohu He
BMBai Mingzhou
Bai Mingzhou
Hai ShiHai Shi
Hai Shi
XLXin Li
Xin Li
YQYanli Qi
Yanli Qi
YLYanjun Li
Yanjun Li
Oil and gas pipelines are part of long-distance transportation projects which pass through areas with complex geological conditions and which are prone to geological disasters. Geological disasters significantly affect the safety of pipeline operations. Therefore, it is essential to conduct geological disaster risk assessments in areas along pipelines to ensure efficient pipeline operation, and to provide theoretical support for early warning and forecasting of geological disasters. In this study, the pipeline routes of the Sichuan-Chongqing and Western Hubei management offices of the Sichuan-East Gas Transmission Project were studied. Seven topographic factors—surface elevation, topographic slope, topographic aspect, plane curvature, stratum lithology, rainfall, and vegetation coverage index—were superimposed using the laying method with a total of eight evaluation indicators. The quantitative relationships between the factors and geological disasters were obtained using the geographic information system (GIS) and weight of evidence (WOE). The backpropagation neural network (BP) was optimised using a genetic algorithm (GA) to obtain the weight of each evaluation index. The quantified index was then utilized to identify the geological hazard risk zone along the pipeline. The results showed that the laying method, stratum lithology, and normalised difference vegetation index were the factors influencing hazards.

6 June 2024 in Measurement
Verified
Journal Article
Closed access
HLHongyu Liu
Hongyu Liu
·B·mIngzhou Bai
·mIngzhou Bai
YLYanjun Li
Yanjun Li
LYLing Yang
Ling Yang
HSHai Shi
Hai Shi
YQYanli Qi
Yanli Qi

7 February 2023 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
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YQYanli Qi
Yanli Qi
GTGang Tian
Gang Tian
MBMingzhou Bai
Mingzhou Bai
LSLinlin Song
Linlin Song

26 November 2023 in Applied Sciences
Verified
Journal Article
Open access
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YQYanli Qi
Yanli Qi
MBMingzhou Bai
Mingzhou Bai
LSLinlin Song
Linlin Song
QWQihao Wang
Qihao Wang
GTGang Tian
Gang Tian
CWChen Wang
Chen Wang
The vulnerability zoning of the urban ground subsidence in Tangshan City was investigated in this study, taking into account factors such as the geological lithology, rainfall, population density, road network density, seismic acceleration, and river network density. The main research of this paper is slow land subsidence affecting large territories. A single-factor analysis was conducted using ArcGIS, followed by a grid-weighted overlay analysis. Values were assigned to each factor to generate a vulnerability zoning map. The analytic hierarchy process (AHP) and information value evaluation model were then employed to assess the ground subsidence risk. An evaluation index system was established, comprising the evaluation objective layer, criterion layer, and indicator layer. An evaluation judgment matrix for the ground subsidence risk was constructed, with the calculation of the weight and information value of each risk evaluation indicator, and the total information value of the study area. Four risk levels were determined: high, moderate, relatively low, and low. The findings demonstrate the scientific validity, rationality, and practical applicability of the vulnerability zoning research and risk assessment method for addressing the ground subsidence in Tangshan City. This study contributes to the understanding and management of the ground subsidence risk, providing a robust framework for urban planning and disaster mitigation.

5 August 2021 in Mathematical Problems in Engineering
Verified
Journal Article
Open access
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YQYanli Qi
Yanli Qi
WSWen Shaoquan
Wen Shaoquan
MBMingzhou Bai
Mingzhou Bai
SHShi Hai
Shi Hai
LPLi Pengxiang
Li Pengxiang
HBHe Bohu
He Bohu
In the process of tunnel construction, the bias of layered rock mass tunnels has always been a prominent problem that troubles the construction and safe operation of tunnels. In this paper, a comprehensive method that combines monitoring technology and discrete element (3DEC) numerical simulation is proposed to analyze the deformation characteristics of the surrounding rock in the layered rock tunnel and the deformation law of the bias tunnel. The results indicate that the tunnel surrounding rock deformation in the study area showed the characteristics of bias. Based on the bias mechanism, the surrounding rock deformation law, the construction deformation control, and the optimization measures of layered rock mass in the bias tunnel were studied by means of combining monitoring technology with discrete element (3DEC) numerical simulation. Based on the research results, appropriate methods for controlling the deformation of the surrounding rock of the tunnel with comprehensive consideration of the anchor rod length, anchor rod angle, and anchor rod layout spacing were proposed. The method proposed in this paper could visually reveal the deformation characteristics of the surrounding rock of layered rock tunnels and the deformation law of bias tunnels. It could also better solve the problem of deformation control in the tunnel construction process. This approach provides a novel idea for special layered rock mass tunnel bias evaluation and deformation control parameter optimization and serves as a valuable reference for analogous engineering cases through engineering case analysis.