Peng Guan

Dr. Peng Guan


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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19 October 2020 in Energies
Verified
Journal Article
Open access
PDF file
BDBin Dou
Bin Dou
PGPeng Guan
Peng Guan
JZJun Zheng
Jun Zheng
BDBin Dou
Bin Dou
HTHong Tian
Hong Tian
HLHejuan Liu
Hejuan Liu
Ground thermal properties are the design basis of ground source heat pumps (GSHP). However, effective ground thermal properties cannot be obtained through the traditional thermal response test (TRT) method when it is used in the coaxial borehole heat exchanger (CBHE). In this paper, an improved TRT (ITRT) method for CBHE is proposed, and the field ITRT, based on the actual project, is carried out. The high accuracy of the new method is verified by laboratory experiments. Based on the results of the ITRT and laboratory experiment, the 3D numerical model for CBHE is established, in which the flow directions, sensitivity analysis of heat transfer characteristics, and optimization of circulation flow rate are studied, respectively. The results show that CBHE should adopt the anulus-in direction under the cooling condition, and the center-in direction under the heating condition. The influence of inlet temperature and flow rate on heat transfer rate is more significant than that of the backfill grout material, thermal conductivity of the inner pipe, and borehole depth. The circulating flow rate of CBHE between 0.3 m/s and 0.4 m/s can lead to better performance for the system.

25 June 2024 in Journal of Earth Science
Verified
Journal Article
Closed access
PDF file
PGPeng Guan
Peng Guan
CSCuifa Shao
Cuifa Shao
YJYuyong Jiao
Yuyong Jiao
GZGuohua Zhang
Guohua Zhang
JZJunpeng Zou
Junpeng Zou
FTFei Tan
Fei Tan

7 May 2021 in Sensors
Verified
Journal Article
Open access
PDF file
PGPeng Guan
Peng Guan
CSCuifa Shao
Cuifa Shao
YJYuyong Jiao
Yuyong Jiao
GZGuohua Zhang
Guohua Zhang
BLBin Li
Bin Li
PHPei Huang
Pei Huang
Migration imaging is a key step in tunnel seismic data processing. Due to the limitation of tunnel space, tunnel seismic data are small-quantity, multi-component, and have a small offset. Kirchhoff migration based on the ray theory is limited to the migration aperture and has low migration imaging accuracy. Kirchhoff migration can no longer meet the requirements of high-precision migration imaging. The reverse time migration (RTM) method is used to realize cross-correlation imaging by reverse-time recursion principle of the wave equation. The 3-D RTM method cannot only overcome the effect of small offset, but also realize multi-component data imaging, which is the most accurate migration method for tunnel seismic data. In this paper, we will study the 3-D RTM method for multi-component tunnel seismic data. Combined with the modeled data and the measured data, the imaging accuracy of the 3-D Kirchhoff migration and 3-D RTM is analyzed in detail. By comparing single-component and multi-component Kirchhoff migration and RTM profile, the advantages of the multi-component RTM method are summarized. Compared with the Kirchhoff migration method, the 3-D RTM method has the following advantages: (1) it can overcome the effect of small offset and expand the range of migration imaging; (2) multi-component data can be realized to improve the energy of anomalous interface; (3) it can make full use of multiple waves to realize migration imaging and improve the resolution of the anomalous interface. The modeled data and the measured data prove the advantages of the 3-D multi-component RTM method.

5 February 2025 in Journal of Earth Science
Verified
Journal Article
Open access
PDF file
CSCuifa Shao
Cuifa Shao
YWYanning Wang
Yanning Wang
YJYunfu Jia
Yunfu Jia
FLFeng Liang
Feng Liang
CPChengyuan Pei
Chengyuan Pei
YJYuyong Jiao
Yuyong Jiao

1 January 2026 in Advances in Civil Engineering
Verified
Journal Article
Open access
DGDongfang Gao
Dongfang Gao
PZPeng Zhao
Peng Zhao
CZChunlei Zou
Chunlei Zou
JSJueming Shen
Jueming Shen
TWTao Wang
Tao Wang
PGPeng Guan
Peng Guan
(1) Rock bridge cracking is a key factor controlling toppling failure. Previous studies have suggested a potential relationship between fundamental natural frequency and rock bridge length, but frequency‐only identification may introduce systematic error when the damping effect becomes non‐negligible during rock bridge deterioration. (2) In this study, an improved dynamic analysis method was developed to quantify rock bridge length by jointly considering the fundamental natural frequency and damping ratio. The method was validated through indoor tests in the Y and Z vibration directions and was further examined using a dangerous toppling rock case in the Sichuan Province, China. (3) The experimental results show that the average error of the improved method is 6.28% and 6.36% in the Y and Z directions, respectively, which is lower than that of the original frequency‐only method (9.49% and 9.73%). The correction is most evident in the unstable stage, where the damping effect becomes more influential as the effective rock bridge shortens. (4) The field case provides preliminary engineering support for the proposed indirect identification framework. The method should be interpreted as an engineering approximation for evaluating the effective bonded portion of the structural plane, rather than as a direct measurement of the full three‐dimensional bonded area.