Hydrodynamic Model of Hydraulic Engineering Based on Trigonometric Function Relation Equation

[1] Ding, M., Yao, J., Li, W., Wu, X., Li, Y., & Li, J. (2021). Construction Method of Evaluation System of Water Conservancy engineering Heritage. IOP Conference Series: Earth and Environmental Science, 787(1), 012148. https://doi.org/10.1088/1755-1315/787/1/012148 Search in Google Scholar

[2] Shang, H. (2021). Using an Improved Ant Lion Optimizer Algorithm and Wireless Network to Explore Nondestructive Testing Technology for Water Conservancy Engineering. IEEE Sensors Journal, PP(99), 1-1. https://doi.org/10.1109/JSEN.2021.3105232 Search in Google Scholar

[3] Zhang, L., Qiu, W., Yang, X., Li, Y., & Li, S. (2022). Dispersivity Identification and Modification with Lime of Soil in Huaaopao’s Water Conservancy Project. Geotechnical and Geological Engineering, 40(11), 5347-5359. https://doi.org/10.1007/s10706-022-01878-2 Search in Google Scholar

[4] Guo, Y., Zhihui, Q. U., Fuzhou, X. U., Wang, D., Zhao, Y., & Liu, Y. (2021). An experimental study of the measuring hydration film thickness of clay particles with atomic force microscope probe. Hydrogeology & Engineering Geology, 48(6), 105-112. https://doi.org/10.16030/j.cnki.issn.1000-3665.2021.06.14 Search in Google Scholar

[5] Liebendorfer, A. (2021). Fluid dynamics model provides numerical framework for optimizing 3D bioprinting parameters. Scilight, 2021(29), 291102. https://doi.org/10.1063/10.0006359 Search in Google Scholar

[6] Nascu, I., Sebastia-Saez, D., Chen, T., Patel, R., & Chang, S. (2021). A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering. IFACPapersOnLine, 54(3), 324-329. https://doi.org/10.1016/j.ifacol.2021.04.090 Search in Google Scholar

[7] Wang, Z., Galea, E. R., Grandison, A., Liew, J. Y., & Xu, W. (2021). A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains. Safety Science, 147(1), 105572. https://doi.org/10.1016/j.ssci.2021.105572 Search in Google Scholar

[8] Kim, S. J., & Koo, W. (2020). Numerical Study on a Multibuoy-Type Wave Energy Converter With Hydraulic PTO System Under Real Sea Conditions. IEEE Journal of Oceanic Engineering, PP(99), 1-10. https://doi.org/10.1109/JOE.2020.3043376 Search in Google Scholar

[9] Parno, Permana, G. A., Hidayat, A., & Setiawan, A. (2021). Improving Students Understanding on Fluid Dynamics through IBL-STEM Model with Formative Assessment. Journal of Physics Conference Series, 1747(1), 012008. https://doi.org/10.1088/1742-6596/1747/1/012008 Search in Google Scholar

[10] Wu, C., Hormuth, D. A., Oliver, T. A., et al. (2020). Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Transactions on Medical Imaging, PP(99), 1-1. doi: 10.1109/TMI.2020.3028227 Search in Google Scholar

[11] Zeng, S., & Du, X. M. (2020). Theoretical analysis and experimental research of non-cavitation noise on underwater counter-rotation propellers. Progress in Computational Fluid Dynamics, 20(1), 51-58. doi: 10.1504/PCFD.2020.106437 Search in Google Scholar

[12] Paun, L. M., Colebank, M. J., Olufsen, M. S., et al. (2020). Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation. Journal of the Royal Society Interface, 17(173), 20200169. doi: 10.1098/rsif.2020.0169 Search in Google Scholar

[13] Lu, B., Yao, J., Ding, M., et al. (2021). Calculation of common evaluation indexes for heritage evaluation of water conservancy projects. IOP Conference Series Earth and Environmental Science, 787(1), 012113. doi: 10.1088/1755-1315/787/1/012113 Search in Google Scholar

[14] Li, F., Li, X., & Zhang, H. (2021). Understanding and thinking of intelligent water conservancy in China under the background of informatization. IOP Conference Series: Earth and Environmental Science, 643(1), 012102 (6pp). doi: 10.1088/1755-1315/643/1/012102 Search in Google Scholar

[15] Zhang, Y., Li, Z., Ge, W., et al. (2022). Evaluation of the water pollution risk of dam and dike-break floods in the inundated area. Environmental Science and Pollution Research, 29(50), 76365-76377. doi: 10.1007/s11356-022-21067-y Search in Google Scholar

[16] Yang, L., Zhang, Z., Gao, D., et al. (2022). Mechanical property evolution and chloride transport of steel fiber-reinforced concrete exposed to simulated marine environments. Materials and Structures, 55(4), 1-17. doi: 10.1617/s11527-022-01930-5 Search in Google Scholar

[17] Xu, X., Zeng, X., Li, Y., et al. (2022). Multi-watershed nonpoint source pollution management through coupling Bayesian-based simulation and mechanism-based effluent trading optimization. Stochastic Environmental Research and Risk Assessment, 36(5), 1313-1351. doi: 10.1007/s00477-022-02177-x Search in Google Scholar

[18] Xu, A., Yang, L. E., Yang, W., et al. (2020). Water conservancy projects enhanced local resilience to floods and droughts over the past 300 years at the Erhai Lake basin, Southwest China. Environmental Research Letters, 15(12), 125009. doi: 10.1088/1748-9326/abbd6d Search in Google Scholar

[19] Xie, Z., Lv, X., & Chen, X. (2021). Preliminary Study on Ecological Water Conservancy Strategy to Cope with Climate Challenge. IOP Conference Series: Earth and Environmental Science, 826(1), 012023 (9pp). doi: 10.1088/1755-1315/826/1/012023 Search in Google Scholar

[20] Zhang, L., Kang, C., Wu, C. et al. (2022). Optimization of Drought Limited Water Level and Operation Benefit Analysis of Large Reservoir. Water Resources Management, 36(12), 4677-4696. Search in Google Scholar