Weihua Ding


  1. [1] P. Negi and P. Ramachandran, An improved non-reflectingoutlet boundary 529 condition for weakly-compressible SPH,Computer Methods in Applied Mechanics and Engineering,367, 2020, 113–119.
  2. [2] X. Xiaoyang and T. Lingyun, Development of SPH forsimulation of non-isothermal viscoelastic free surface flowswith application to injection molding, Applied MathematicalModelling, 104, 2022, 782–805.
  3. [3] W. Jinmei, Z. Yingbin, and C. Yanlong, Back-analysisof Donghekou landslide using 546 improved DDA consid-ering joint roughness degradation, Landslides, 02, 2021,1–11.
  4. [4] W. Shuhong and Z. Chengjin, Stability analysis of slopewith multiple sliding surfaces based on dynamic strength-reduction DDA method, Hindawi, 2019, 2019, 2183732.1-2183732.12.
  5. [5] Y. Ting and P. Dingyi, Smoothed particle hydrodynamics(SPH) for complex fluid flows: Recent developments inmethodology and applications, Physics of Fluids, 31, 2019,011301.
  6. [6] J. Gerdabi and H. Amir, The behaviour of time-independentnon-Newtonian fluids in an impact problem of a wedgeusing smoothed particle hydrodynamics method, Progress inComputational Fluid Dynamics, An International Journal, 22,2022, 65–82.
  7. [7] L. Min and A. Kazemi Ehsan, Comparative study on theaccuracy and conservation properties of the SPH method forfluid flow interaction with porous media, Advances in WaterResources, 165, 2022, 104220.
  8. [8] N. Xiaoying and H. Yong, Fluid reconstruction and editingfrom a monocular video based on the SPH model withexternal force guidance, Computer Graphics Forum, 40, 2021,62–76.
  9. [9] W. Holmes David and P. Peter, Novel pressure inlet and outletboundary conditions for smoothed particle hydrodynamics,applied to real problems in porous media flow, Journal ofComputational Physics, 429, 2020, 11002.
  10. [10] Z. Chi and H. Xiangyu, A multi-resolution SPH method forfluid-structure interactions, Journal of Computational Physics,429, 2021, 110028.
  11. [11] S. Zihan, Study on vibration of silicon steel sheet of motorstator considering magnetostrictive effect, Journal of ElectricalEngineering, 9, 2021, 1–10.
  12. [12] K. Viktor and M. Svitlana, Modelling of asynchronousmotor with split stator windings on the principle of arotary autotransformer, Przeglad Elektrotechniczny, 98, 2022,39–43.
  13. [13] P. Chan Hee and A. Hyunjae Kim, Feature inherited hierarchicalconvolutional neural network (FI-HCNN) for motor faultseverity estimation using stator current signals, Korean Societyfor Precision Engineering, 8, 2021, 1253–1266.
  14. [14] H. Cho, Effect of internal fluid resonance on the performanceof a floating OWC device, Journal of Ocean Engineering andTechnology, 35, 2021, 216–228.
  15. [15] M. Kandagal and S. Kalyan, Effect of two immiscible multifluidflow on internal heat generation or absorption in a verticalchannel in the presence of concentration, Heat Transfer, 50,2021, 7454–7471.
  16. [16] N.A. Sheikh, F. Ali, M. Saqib, I. Khan, S.A.A. Jan, and A.S.Alshomrani, Comparison and analysis of the Atangana–Baleanuand Caputo–Fabrizio fractional derivatives for generalizedcasson fluid model with heat generation and chemical reaction,Results in Physics, 7, 2017, 789–800.
  17. [17] F. Ali, I. Khan, M. Saqib, and N.A. Sheikh, Application ofCaputo-Fabrizio derivatives to MHD free convection flow ofgeneralized Walters’-B fluid model, The European PhysicalJournal Plus, 131, 2016.
  18. [18] F. Ali, M. Gohar, and I. Khan, MHD flow of water-basedBrinkman type nanofluid over a vertical plate embedded ina porous medium with variable surface velocity, temperatureand concentration, Journal of Molecular Liquids, 223, 2016,412–419.
  19. [19] N.A. Sheikh, F. Ali, I. Khan, and M. Saqib, A modern approachof Caputo–Fabrizio time-fractional derivative to MHD freeconvection flow of generalized second-grade fluid in a porousmedium, Neural Computing and Applications, 30(6), 2016,1865–1875.
  20. [20] F. Ali, A.A.J. Syed, I. Khan, M. Gohar, and N.A. Sheikh,Solutions with special functions for time fractional freeconvection flow of Brinkman-type fluid, European PhysicalJournal Plus, 131(9), 2016, 310.
  21. [21] F.C. Tian, G.Y. Zhong, L. Wei, and Y. Shuai, Direct-driveouter-rotor permanent magnet synchronous motor for a tractionmachine, Journal Mechatronic Systems and Control, 51, 2023,97–105.
  22. [22] Y.N. Wen, W. Zhong, L.Y. Le, and W.M. Jun, Sensorlesscontrol of permanent magnet synchronous motor based onoptimization of non-singular fast terminal sliding modeobserver, Journal Mechatronic Systems and Control, 50, 2022,138–144.
  23. [23] G. Jim and M. Geetha, HiL implementation of harmonysearch-based redesigned PI-like control for DC servo, JournalMechatronic Systems and Control, 51, 2023, 1–10.
  24. [24] L. Yingfa, L. Gan, and C. Kai. Mechanism and stabilityanalysis of deformation failure of a slope, Advances in CivilEngineering, 2021, 2021, 8949846.1–8949846.16.
  25. [25] Z. Jia Wen and L Haibo, Initiation mechanism and quantitativemass movement analysis of the 2019 Shuicheng catastrophiclandslide, Quarterly Journal of Engineering Geology andHydrogeology, 54, 2021, 1–12.
  26. [26] S. Lee, Unconditionally strong energy stable scheme forCahn–Hilliard equation with second-order temporal accuracy,Mathematical Methods in the Applied Sciences, 46, 2023,6463–6469.210
  27. [27] J. Mingjing and N. Maoyi, Instability analysis of jointedrock slope subject to rainfall using DEM strength reductiontechnique, European Journal of Environmental and CivilEngineering, 26, 2021, 4664–4686.
  28. [28] P.A. Ejegwa and J.M. Agbetayo, Similarity-distance decision-making technique and its applications via intuitionistic fuzzypairs, Journal of Computational and Cognitive Engineering,2(1), 2023, 68–74.
  29. [29] Y. Fang, B. Luo, T. Zhao, and D. He, ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation formulti-agent perception and trajectory forecasting, CAAITransactions on Intelligence Technology, 7(4), 2022, 744–757.

Important Links:

Go Back