Zijian Fan

Dr. Zijian Fan

Changsha University of Science & Technology, Changsha, China, Changsha, Hunan, China
orcid

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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31 October 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
ZDZongWei Deng
ZongWei Deng
ZFZijian Fan
Zijian Fan
YZYan-Ming Zhou
Yan-Ming Zhou
PDPei-Yu Deng
Pei-Yu Deng
In order to study the dynamic response characteristics of circular extended foundation of wind turbine in mountainous areas, a 1:10 scaled model test was carried out on the circular extended foundation of 2MW wind turbine, and the deformation characteristics of wind turbine foundation under random wind load were analyzed by ABAQUS numerical calculation. The results show that: (1) The wind turbine foundation has different stress types on the windward side and the leeward side. The components of the windward side foundation are subjected to tensile stress, while the components of the wind turbine leeward side foundation are subjected to compressive stress. (2) The strain of the foundation bolt, the strain of the foundation ring, and the strain of the foundation plate are within the allowable range of material deformation, but the relative deformation of the windward side and the leeward side is quite different. (3) The numerical calculation results of wind turbine foundation under strong wind load are compared with the failure results of scale model experiment, which shows that the overall overturning failure of foundation is a dynamic response mode of wind turbine foundation. In the design and construction, it is necessary to strengthen the research on the windward side and the leeward side and strengthen the anti-overturning design of the wind turbine expansion foundation.

1 January 2024 in Advances in Civil Engineering
Verified
Journal Article
Open access
ZQZi-Xiu Qin
Zi-Xiu Qin
XWXi-Rui Wang
Xi-Rui Wang
WLWen-Jie Liu
Wen-Jie Liu
ZFZijian Fan
Zijian Fan
In order to improve the reliability of the finite element analysis model of long‐span suspension bridges, this paper proposes a finite element model (FEM) modification method by the hybrid algorithm of backpropagation artificial neural network (BPANN) and genetic algorithm (GA) based on field measurements and vibration modal analysis. First, finite element computational data is used to train the neural network. The trained neural network is then used to predict the natural frequencies corresponding to different modal shapes under various parameters. Based on the measured values, a fitness function is constructed, and the GA is used to optimize the model parameters. These optimized parameters are subsequently applied to correct the FEM of long‐span suspension bridges. Finally, the computational errors of the initial model, the BPANN corrected model, and the BPANN‐GA model are compared and analyzed to verify the advantages of using BPANN‐GA for bridge model modification. The results show that the average computational error of the natural frequencies for the 1st to 8th modes before modification is 7.04%. After modification using BPANN‐GA, the absolute value of the computational error for the 1st to 8th modes is all below 3%, and the modal assurance criterion (MAC) values all exceed 90%. Compared to the conventional BPANN, BPANN‐GA can effectively improve the modification effect, with the average computational errors of natural frequencies being 3.84% and 1.50%, respectively. For static displacement, the computational error after modification is also significantly reduced, with the average computational error decreasing from 11.4% to 5.9%. After modification using BPANN‐GA, the static and dynamic responses of the structure can be better reflected by the corrected model, thus providing a more reliable computational basis for understanding the safety status of the bridge.

24 December 2020 in arXiv
Verified
Preprint
Open access
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PCPeng Cheng
Peng Cheng
ZFZijian Fan
Zijian Fan
Wind power as clean energy has been widely promoted. However, during the operation of a wind turbine in a mountainous area, a large number of instability phenomena appear in the wind turbine foundation. To study the damage characteristics of a mountain wind turbine foundation, the influence of topography on a mountain wind turbine is considered. According to the complex mechanical structure characteristics of the wind turbine, a circular expansion foundation model have a ratio of 1:10 to the wind turbine which 2MW installed capacity is established. The foundation model is simulated by the ABAQUS, and the impact of soil pressure on the wind turbine foundation under random wind load is analyzed. Understand the fragile parts of the wind turbine foundation. The results show that :(1) under the action of random wind load, the strain of the anchor rod, and the ground ring, of the bottom plate is small and will not be destroyed ;(2) under the influence of wind load, he soil within a 1.5 times radius range of wind turbine foundation is easily disturbed, but the core soil below the foundation is unaffected. It is suggested that the soil within a 1.5 times radius range of the wind turbine foundation should be strengthened to ensure the safety and stability of the foundation.

29 January 2025 in International Journal of Structural Stability and Dynamics
Verified
Journal Article
Closed access
ZFZijian Fan
Zijian Fan
XLXin-Xi Liu
Xin-Xi Liu
ZDZong-Wei Deng
Zong-Wei Deng
WLWen-Jie Liu
Wen-Jie Liu
SMSheng-Ming Men
Sheng-Ming Men
YLYu Li
Yu Li