按研究方向浏览学术成果 Publications by Research Direction
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建筑结构抗风
数值风洞与湍动入流
[74] ; Li Chao; Chen Lingwei; Wang Jinghan; Wang Sirou; Wang Xiaolu*, A novel framework for urban geometry rapid reconstruction utilizing high-resolution stereo satellite imagery for wind environment assessment[J]. Building and Environment, 2026: 114811. https://doi.org/10.1016/j.buildenv.2026.114811. 影响因子: 7.6 (Q1). 中科院分区: 1.
[72] ; Li Chao; Yang Chao; Han Zhichen; Chen Lingwei; Hu Gang; Li Lixiao; Wang Xiaolu*, A fast prediction framework for urban microscale wind environment based on precomputed CFD database[J]. Building Simulation, 2026, 19(2): 333～357. https://doi.org/10.1007/s12273-025-1379-7. 影响因子: 5.9 (Q1). 中科院分区: 1.
[71] Huang Xigui; Chen Shangxin; Wu Teng; Hu Gang; Li Chao; Long Wujian; Li Lixiao*, Simulation of non-stationary winds in typhoon field based on turbulent coherent structure and AR-GARCH model[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2026, 269: 106302. https://doi.org/10.1016/j.jweia.2025.106302. 中科院分区: 2.
[69] Tang Lingxiao; Li Chao*; Zhao Zihan*; Chen Lingwei; Zhang Mingming, A novel framework for temporal super-resolution of wind in urban energy applications[J]. Renewable Energy, 2026, 256: 124336. https://doi.org/10.1016/j.renene.2025.124336. 影响因子: 9.1 (Q1). 中科院分区: 1. 引用次数: 1.
[66] ; He Xinyu; Jiang Shan; Chan P W; Li Chao; Ou Jinping; Duan Penghao*; Li Lishuai, Evaluation of urban wind effects on flight path planning of delivery drones using computational fluid dynamics simulations[J]. Physics of Fluids, 2025, 37(8): 87124. https://doi.org/10.1063/5.0281373. 影响因子: 4.3 (Q1). 中科院分区: 2.
[60] ; Li Chao*; Jiang Jianxun; Chen Lingwei; Wang Xiaolu, A novel framework utilizing 3D Gaussian Splatting to construct building geometry for urban wind simulations[J]. Sustainable Cities and Society, 2025, 123: 106237. https://doi.org/10.1016/j.scs.2025.106237. 影响因子: 12.0 (Q1). 中科院分区: 1. 引用次数: 6.
[58] ; Li Chao*; Wang Jinghan; He Xin; Wang Xiangjie; Hu Gang; Wang Xiaolu, Comparing methods for reducing artificial pressure fluctuations using large eddy simulation in high-rise building wind load assessment[J]. Physics of Fluids, 2024, 36(12): 127120. https://doi.org/10.1063/5.0240163. 影响因子: 4.3 (Q1). 中科院分区: 2.
[57] Tang Lingxiao; Li Chao; Zhao Zihan*; Xiao Yiqing; Chen Shenpeng, Super-resolution reconstruction of wind fields with a swin-transformer-based deep learning framework[J]. Physics of Fluids, 2024, 36(12): 125110. https://doi.org/10.1063/5.0237112. 影响因子: 4.3 (Q1). 中科院分区: 2.
[55] ; Li Chao*; Chen Lingwei; Zhou Shengtao; Hu Gang; Ou Jinping, A new controllable weak recycling inflow turbulence generator for evaluating wind effects on building in LES[J]. Engineering Structures, 2024, 318: 118742. https://doi.org/10.1016/j.engstruct.2024.118742. 影响因子: 6.4 (Q1). 中科院分区: 1.
[53] Jiang Shan; Wang Jinghan*; Li Chao; Ou Jinping; Duan Penghao*; Li Lishuai, Identification of no-fly zones for delivery drone path planning in various urban wind environments[J]. Physics of Fluids, 2024, 36(8): 085166. https://doi.org/10.1063/5.0221281. 影响因子: 4.3 (Q1). 中科院分区: 2.
[51] Li Chao; Chen Lingwei*; Wang Jinghan; Zhang Wentong; Wang Xiangjie; Wang Zhuoran; Hu Gang, A novel vector potential random flow generation method for synthesizing divergence-free homogeneous isotropic turbulence with arbitrary spectra[J]. Physics of Fluids, 2024, 36(3): 035127. https://doi.org/10.1063/5.0194006. 影响因子: 4.3 (Q1). 中科院分区: 2.
[50] ; Li Chao*; Wang Jinghan; Hu Gang; Xiao Yiqing, A coherence-improved and mass-balanced inflow turbulence generation method for large eddy simulation[J]. Journal of Computational Physics, 2024, 498: 112706. https://doi.org/10.1016/j.jcp.2023.112706. 影响因子: 3.8 (Q1). 中科院分区: 2.
[47] ; Xiao Yiqing*; Li Chao*; Chan P W; Hu Gang; Zhou Qingfeng, Multiscale simulation of the urban wind environment under typhoon weather conditions[J]. Building Simulation, 2023, 16(9): 1713～1734. https://doi.org/10.1007/s12273-023-0991-7. 影响因子: 5.9 (Q1). 中科院分区: 1.
[46] Zhang Dongqin; Liu Zhenqing; Jiang Xinye; Jiang Wenjun; Gao Huanxiang; Li Chao; Xiao Yiqing; Hu Gang*, Numerical study of flow characteristics of tornado-like vortices considering both swirl ratio and aspect ratio[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2023, 240: 105468. https://doi.org/10.1016/j.jweia.2023.105468. 影响因子: 4.9 (Q1). 中科院分区: 2.
[43] ; Li Chao*; Huang Shenghong; Zheng Qingxing; Xiao Yiqing; Ou Jinping, Large eddy simulation of turbulent atmospheric boundary layer flow based on a synthetic volume forcing method[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2023, 233: 105326. https://doi.org/10.1016/j.jweia.2023.105326. 影响因子: 4.9 (Q1). 中科院分区: 2.
[39] 冯丙辰; 肖扬; 李朝*; 肖仪清, 基于数值风洞试验的核电厂微地形风场分析与验证[J]. 核科学与工程, 2023, 第43卷增刊.
[36] Gao Huanxiang; Liu Junle*; Lin Pengfei*; Li Chao; Xiao Yiqing; Hu Gang, Pedestrian level wind flow field of elevated tall buildings with dense tandem arrangement[J]. Building and Environment, 2022, 226: 109745. https://doi.org/10.1016/j.buildenv.2022.109745. 影响因子: 7.6 (Q1). 中科院分区: 1.
[34] ; Li Chao*; Wang Jinghan; Hu Gang; Zheng Qingxing; Zhou Qingfeng; Xiao Yiqing, Consistency improved random flow generation method for large eddy simulation of atmospheric boundary layer[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 229: 105147. https://doi.org/10.1016/j.jweia.2022.105147. 影响因子: 4.9 (Q1). 中科院分区: 2.
[32] Wang Qiulei; Yan Lei; Hu Gang*; Li Chao; Xiao Yiqing; Xiong Hao; Rabault Jean; Noack Bernd R, DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM[J]. Physics of Fluids, American Institute of Physics, 2022, 34(8): 081801. https://doi.org/10.1063/5.0103113. 影响因子: 4.3 (Q1). 中科院分区: 2.
[25] ; Li Chao*; Xiao Yiqing; Wang Jinghan; Hu Gang; Xiao Kai, Multiscale modelling of planetary boundary layer flow over complex terrain: implementation under near-neutral conditions[J]. Environmental Fluid Mechanics, 2021, 21(4): 759～790. https://doi.org/10.1007/s10652-021-09796-4. 影响因子: 2.1 (Q2). 中科院分区: 3.
[24] ; Xiao Yiqing; Li Chao*; Wang Jinghan; Hu Gang, New consideration of lateral boundary treatment for meso- and micro-scale nested PBL simulations over complex terrain[J]. Atmospheric Research, 2021, 254: 105507. https://doi.org/10.1016/j.atmosres.2021.105507. 影响因子: 4.4 (Q2). 中科院分区: 2.
[21] ; 李朝*; 肖仪清; 肖凯; 吴晓鹏; 宋晓萍, 基于NWP/CFD嵌套的复杂地形风场模拟研究[J]. 太阳能学报, 2021, 42(2): 205～210.
[20] Li Chao; Wang Jinghan; Hu Gang; Li Lixiao; Xiao Yiqing*, RANS simulation of horizontal homogeneous atmospheric boundary layer over rough terrains by an enriched canopy drag model[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 206: 104281. https://doi.org/10.1016/j.jweia.2020.104281. 影响因子: 4.9 (Q1). 中科院分区: 2.
[16] Li Lixiao; Kareem Ahsan*; Hunt Julian; Xing Feng; Chan Pakwai; Xiao Yiqing; Li Chao, Observed sub-hectometer-scale low level jets in surface-layer velocity profiles of landfalling typhoons[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 190: 151～165. https://doi.org/10.1016/j.jweia.2019.04.016. 影响因子: 4.9 (Q1). 中科院分区: 2.
[11] 肖凯; 赵子涵; 罗啸宇; 李朝*; 钟继; 肖仪清, 复杂地形下基于计算流体动力学的风速比计算[J]. 科学技术与工程, 2018, 18(33): 1～6.
[9] Li Chao; Zhou Shengtao; Xiao Yiqing*; Huang Qin; Li Lixiao; Chan P W, Effects of inflow conditions on mountainous/urban wind environment simulation[J]. Building Simulation, 2017, 10(4): 573～588. https://doi.org/10.1007/s12273-017-0348-1. 影响因子: 5.9 (Q1). 中科院分区: 1.
[5] Li Chao; Li Q S; Xiao Y Q; Ou J P, A revised empirical model and CFD simulations for 3D axisymmetric steady-state flows of downbursts and impinging jets[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2012, 102: 48～60. https://doi.org/10.1016/j.jweia.2011.12.004. 影响因子: 4.9 (Q1). 中科院分区: 2.
[4] 李朝; 肖仪清*; 滕军; 欧进萍; 陈宜言, 基于超越阈值概率的行人风环境数值评估[J]. 工程力学, 2012, 29(12): 15～21.
[1] 肖仪清; 李朝; 欧进萍; 宋丽莉; 李秋胜, 复杂地形风能评估的CFD方法[J]. 华南理工大学学报(自然科学版), 2009, 37(9): 30～35.
高层建筑抗风与优化
[73] ; Li Chao*; Chen Lingwei; Hu Gang; Ou Jinping, Numerical research on the impact of built-in rectangular poles on the dynamic characteristics of rectangular liquid tanks[J]. Ocean Engineering, 2026, 353: 124728. https://doi.org/10.1016/j.oceaneng.2026.124728. 中科院分区: 2.
[68] ; Li Chao*; Chen Lingwei; Hu Gang; Ou Jinping, Numerical investigation of nonlinear sloshing features and vibration mitigation efficiency of the implanted pole tuned liquid damper[J]. Physics of Fluids, 2025, 37(10): 103314. https://doi.org/10.1063/5.0293483. 中科院分区: 2.
[67] ; Li Chao*; Zhang Zhu; Chen Lingwei; He Xin; Zheng Qingxing; Zhang Jianjun, Statistical extremes of 2D vectorial response for wind-excited tall buildings[J]. Journal of Building Engineering, 2025, 111: 113635. https://doi.org/10.1016/j.jobe.2025.113635. 影响因子: 7.4 (Q1). 中科院分区: 1.
[63] ; Li Chao*; Yang Junhui; Zhang Heqiang; Zheng Qingxing; Zhang Jianjun, Training and application of graph neural networks for predicting structural responses targeted at tall building structures[J]. Journal of Building Engineering, 2025, 103: 112131. https://doi.org/10.1016/j.jobe.2025.112131. 影响因子: 7.4 (Q1). 中科院分区: 1.
[61] Yan Lei; Cai Huaiqiang; Wang Qiulei; Chen Lingwei; Li Chao; Hu Gang*, Deep reinforcement learning-based active flow control for a tall building[J]. Physics of Fluids, 2025, 37(4): 045132. https://doi.org/10.1063/5.0267175. 影响因子: 4.3 (Q1). 中科院分区: 2.
[56] Liu Shizeng; Zhang Wentong*; Li Qiang; Yan Shicheng; Zhang Shihong; Li Chao; Li Lixiao, Engineering method for quantifying the coupling effect of transmission tower-line system under strong winds[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2024, 255: 105954. https://doi.org/10.1016/j.jweia.2024.105954. 影响因子: 4.9 (Q1). 中科院分区: 2.
[54] ; Li Chao*; Chen Lingwei; Yang Junhui; Hu Gang; Ou Jinping, Numerical research on nonlinear liquid sloshing and vibration control performance of tuned liquid damper[J]. Journal of Building Engineering, 2024, 96: 110660. https://doi.org/10.1016/j.jobe.2024.110660. 影响因子: 7.4 (Q1). 中科院分区: 1.
[49] Liu Shizeng; Zhang Wentong*; Li Qiang; Yan Shicheng; Zhang Shihong; Li Chao; Li Lixiao, Dynamic Failure Mode Analysis for a Transmission Tower-Line System Induced by Strong Winds[J]. Energies, Multidisciplinary Digital Publishing Institute, 2024, 17(18): 4679. https://doi.org/10.3390/en17184679. 影响因子: 3.2 (Q3). 中科院分区: 3.
[44] ; Li Chao*; Liu Gaixia; Xiao Yiqing*, Estimation of dynamic wind forces on a steel lattice tower based on generalized wind force spectra[J]. Structures, 2023, 48: 1634～1650. https://doi.org/10.1016/j.istruc.2022.12.073. 影响因子: 4.3 (Q1). 中科院分区: 2.
[41] ; Li Chao*; Liu Gaixia; Xiao Yiqing*, Reconstruction of dynamic wind forces on a transmission steel lattice tower using aeroelastic wind tunnel test data[J]. Engineering Structures, 2023, 275: 115167. https://doi.org/10.1016/j.engstruct.2022.115167. 影响因子: 6.4 (Q1). 中科院分区: 1. 引用次数: 9.
[38] ; 肖凯; 肖仪清; 李朝*; 张文通, 基于首次超越破坏的输电塔强风易损性分析[J]. 工业建筑, 2023: 1～10.
[35] Hu Wei‐Hua; Xu Zeng‐Mao; Bian Xiao‐Han; Tang De‐Hui; Lu Wei; Li Chao; Teng Jun*; Cunha Álvaro, Operational modal analysis and continuous dynamic monitoring of high‐rise building based on wireless distributed synchronized data acquisition system[J]. Structural Control and Health Monitoring, 2022, 29(11): e3063. https://doi.org/10.1002/stc.3063. 影响因子: 5.1 (Q1). 中科院分区: 2.
[29] ; Xiao Yiqing*; Li Chao; Zheng Qingxing; Tang Yanan, Wind load investigation of self-supported lattice transmission tower based on wind tunnel tests[J]. Engineering Structures, 2022, 252: 113575. https://doi.org/10.1016/j.engstruct.2021.113575. 影响因子: 6.4 (Q1). 中科院分区: 1.
[28] Lin Pengfei; Ding Fei; Hu Gang*; Li Chao*; Xiao Yiqing; Tse K T; Kwok K C S; Kareem Ahsan, Machine learning-enabled estimation of crosswind load effect on tall buildings[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 220: 104860. https://doi.org/10.1016/j.jweia.2021.104860. 影响因子: 4.9 (Q1). 中科院分区: 2.
[27] ; Zhang Junfeng; Li Chao*, Research on Equivalent Static Load of High-Rise/Towering Structures Based on Wind-Induced Responses[J]. Applied Sciences, 2022, 12(8): 3729. https://doi.org/10.3390/app12083729. 影响因子: 2.5 (Q2). 中科院分区: 3.
[26] Wang Qiulei; Jiang Qi; Hu Gang*; Chen Xiao; Li Chao; Xiao Yiqing, Aerodynamic characteristics of a square cylinder with corner fins[J]. Advances in Bridge Engineering, 2021, 2(1): 20. https://doi.org/10.1186/s43251-021-00042-x. 影响因子: 2.1 (Q2). 中科院分区: 3.
[23] Lin Pengfei; Hu Gang*; Li Chao*; Li Lixiao; Xiao Yiqing; Tse K T; Kwok K C S, Machine learning-based prediction of crosswind vibrations of rectangular cylinders[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2021, 211: 104549. https://doi.org/10.1016/j.jweia.2021.104549. 影响因子: 4.9 (Q1). 中科院分区: 2.
[14] 周颖; 梁枢果*; 李朝, 超高层建筑风荷载的数值模拟[J]. 武汉理工大学学报, 2019, 41(1): 56～62, 89.
[13] Hu Gang; Li Chao*; Tse K T; Kwok K C S, Vortex induced vibration of an inclined finite-length square cylinder[J]. European Journal of Mechanics - B/Fluids, 2018, 68: 144～152. https://doi.org/10.1016/j.euromechflu.2017.12.004. 影响因子: 2.5 (Q2). 中科院分区: 3.
[7] Pei Hua-Fu; Li Chao*; Zhu Hong-Hu; Wang Yu-Jie, Slope stability analysis based on measured strains along soil nails using FBG sensing technology[J]. Mathematical Problems in Engineering, Hindawi, 2013, 2013: e561360. https://doi.org/10.1155/2013/561360. 影响因子: 0. 中科院分区: 0.
[3] Li Chao; Li Q S; Huang S H; Fu J Y; Xiao Y Q, Large eddy simulation of wind loads on a long-span spatial lattice roof[J]. Wind and Structures An International Journal, Techno-Press, 2010, 13(1): 57～82. https://doi.org/10.12989/was.2010.13.1.057. 影响因子: 1.9 (Q3). 中科院分区: 3.
[2] 滕军*; 李秀英; 李朝, 开口空间结构表面风压分布规律研究[J]. 工程抗震与加固改造, 2010, 32(6): 18～24.
海上漂浮风电
浮式风机系统一体化分析与优化
[62] Gong Jingliang; Zhou Haijun; Yuan Chulong; Huang Xigui; Hu Gang; Li Chao; Li Lixiao*, A synthetic approach for high-fidelity aerodynamic performance optimization of large-scale wind turbine blades based on hybrid deep learning networks[J]. Physics of Fluids, AIP Publishing, 2025, 37(5). https://doi.org/10.1063/5.0264659. 影响因子: 4.3 (Q1). 中科院分区: 2.
[59] Liang Jun; Wang Ying*; Li Chao; Ou Jinping, Fatigue analysis of monopile-supported offshore wind turbine under varied supported conditions[J]. Ocean Engineering, 2025, 320: 120279. https://doi.org/10.1016/j.oceaneng.2024.120279. 影响因子: 5.5 (Q1). 中科院分区: 2.
[52] Zhang Dongqin; Liu Zhenqing; Liang Yang; Li Chao; Zhang Jize; Hu Gang*, Bilevel optimization of non-uniform offshore wind farm layout and cable routing for the refined LCOE using an enhanced PSO[J]. Ocean Engineering, 2024, 299: 117244. https://doi.org/10.1016/j.oceaneng.2024.117244. 影响因子: 5.5 (Q1). 中科院分区: 2.
[48] ; Li Chao*; Xiao Yiqing; Wang Xiaolu; Xiang Wenyuan; Sun Qing, Evaluation of floating wind turbine substructure designs by using long-term dynamic optimization[J]. Applied Energy, 2023, 352: 121941. https://doi.org/10.1016/j.apenergy.2023.121941. 影响因子: 11.0 (Q1). 中科院分区: 1.
[45] ; Li Chao*; Xiao Yiqing, Efficient optimization design method of jacket structures for offshore wind turbines[J]. Marine Structures, 2023, 89: 103372. https://doi.org/10.1016/j.marstruc.2023.103372. 影响因子: 5.1 (Q1). 中科院分区: 2.
[40] 向文元; 周盛涛*; 孙清; 李朝; 肖仪清, 半潜式浮式风机长期动力响应的全局敏感性分析[J]. 船舶工程, 2023, 45(S1): 59～66.
[37] ; 向文元; 孙清; 李朝; 肖仪清, 浮式风机动力系统的线性耦合动力学分析[J]. 船舶工程, 2023, 45(S1): 46～52.
[31] Zhang Dongqin; Liang Yang; Li Chao; Xiao Yiqing; Hu Gang, Applicability of wake models to predictions of turbine-induced velocity deficit and wind farm power generation[J]. Energies, Multidisciplinary Digital Publishing Institute, 2022, 15(19): 7431. https://doi.org/10.3390/en15197431. 中科院分区: 3.
[30] Abdullahi Aliyu; Bhattacharya Subhamoy; Li Chao; Xiao Yiqing; Wang Ying*, Long term effect of operating loads on large monopile-supported offshore wind turbines in sand[J]. Ocean Engineering, 2022, 245: 110404. https://doi.org/10.1016/j.oceaneng.2021.110404. 影响因子: 5.5 (Q1). 中科院分区: 2.
[22] ; Müller Kolja; Li Chao*; Xiao Yiqing; Cheng Po Wen, Global sensitivity study on the semisubmersible substructure of a floating wind turbine: Manufacturing cost, structural properties and hydrodynamics[J]. Ocean Engineering, 2021, 221: 108585. https://doi.org/10.1016/j.oceaneng.2021.108585. 影响因子: 5.5 (Q1). 中科院分区: 2.
[19] ; Li Chao*; Xiao Yiqing; Cheng Po Wen, Importance of platform mounting orientation of Y-shaped semi-submersible floating wind turbines: A case study by using surrogate models[J]. Renewable Energy, 2020, 156: 260～278. https://doi.org/10.1016/j.renene.2020.04.014. 影响因子: 9.1 (Q1). 中科院分区: 1.
[18] Hu Gang; Liu Fengxi; Li Lixiao*; Li Chao; Xiao Yiqing; Kwok K C S, Wind energy harvesting performance of tandem circular cylinders with triangular protrusions[J]. Journal of Fluids and Structures, 2019, 91: 102780. https://doi.org/10.1016/j.jfluidstructs.2019.102780. 影响因子: 3.5 (Q1). 中科院分区: 2.
[17] Peng Yi-Xin; Xu You-Lin*; Zhu Songye; Li Chao, High-solidity straight-bladed vertical axis wind turbine: Numerical simulation and validation[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 193: 103960. https://doi.org/10.1016/j.jweia.2019.103960. 影响因子: 4.9 (Q1). 中科院分区: 2.
[15] Lin Jinghua; Xu You-Lin*; Xia Yong; Li Chao, Structural Analysis of Large-Scale Vertical-Axis Wind Turbines, Part I: Wind Load Simulation[J]. Energies, Multidisciplinary Digital Publishing Institute, 2019, 12(13): 2573. https://doi.org/10.3390/en12132573. 影响因子: 3.2 (Q3). 中科院分区: 3.
[12] Li Chao; Xiao Yiqing; Xu You-lin; Peng Yi-xin; Hu Gang; Zhu Songye*, Optimization of blade pitch in H-rotor vertical axis wind turbines through computational fluid dynamics simulations[J]. Applied Energy, 2018, 212: 1107～1125. https://doi.org/10.1016/j.apenergy.2017.12.035. 影响因子: 11.0 (Q1). 中科院分区: 1.
[8] Li Chao; Zhuang Tongyi; Zhou Shengtao; Xiao Yiqing*; Hu Gang, Passive Vibration Control of a Semi-Submersible Floating Offshore Wind Turbine[J]. Applied Sciences, Multidisciplinary Digital Publishing Institute, 2017, 7(6): 509. https://doi.org/10.3390/app7060509. 影响因子: 2.5 (Q2). 中科院分区: 3.
[6] Li Chao; Zhu Songye*; Xu You-lin; Xiao Yiqing, 2.5D large eddy simulation of vertical axis wind turbine in consideration of high angle of attack flow[J]. Renewable Energy, 2013, 51(8.7 (Q1)): 317～330. https://doi.org/10.1016/j.renene.2012.09.011. 影响因子: 9.1 (Q1). 中科院分区: 1.
浮式混凝土平台结构设计
[70] ; Li Chao*; Zheng Shunyun; Zhou Shengtao; Liu Shangpei; Ou Jinping, Structural design and optimization of a novel semi-submersible floating offshore wind turbine platform using reinforced concrete[J]. Ocean Engineering, 2026, 346: 123951. https://doi.org/10.1016/j.oceaneng.2025.123951. 影响因子: 5.5 (Q1). 中科院分区: 2.
[65] ; Liu Shangpei; Li Chao*; Wang Xiaolu; Ou Jinping, Evaluating equivalent static wave loads for a delta-shaped semi-submersible 10-MW wind turbine[J]. Ocean Engineering, 2025, 332: 121336. https://doi.org/10.1016/j.oceaneng.2025.121336. 影响因子: 5.5 (Q1). 中科院分区: 2. 引用次数: 2.
[33] Li Chao; Zhou Shengtao*; Shan Baohua; Hu Gang; Song Xiaoping; Liu Yongqing; Hu Yimin; Yiqing Xiao, Dynamics of a Y-shaped semi-submersible floating wind turbine: a comparison of concrete and steel support structures[J]. Ships and Offshore Structures, Taylor & Francis, 2022, 17(8): 1663～1683. https://doi.org/10.1080/17445302.2021.1937801. 影响因子: 1.8 (Q2). 中科院分区: 3.
数值风浪流水池
[64] ; 周盛涛; 石兵; 李朝*; 胡钢; 曾宇; 李利孝, 中心与偏心布置半潜风机动力特性的模型试验[J]. 清华大学学报（自然科学版）, 2025: 1～14.
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