The research on the wave force of breakwaters in marine engineering refers to avoiding the damage caused by wave propagation and reducing the damage of waves to structures in marine engineering, so as to ensure the safety of buildings and oceans in marine engineering. In order to solve the deficiencies of the existing viscous flow model-based research on breakwater wave force in marine engineering, this paper discusses the functional equations of the viscous flow model and the concept of breakwater wave force structure types. The model briefly introduces the data simulation and calculation parameters of the wave force application of the breakwater in marine engineering. And the design of the model structure based on the viscous flow model for the wave force of the breakwater in marine engineering is discussed. Finally, the simulation value calculated by the viscous flow model and the MLAC model is compared with the average analytical value of the breakwater wave force in the experimental analysis. The experimental data show that the numerical simulation value of the strength of the breakwater wave force in the viscous flow model is closer to the average analytical value of the breakwater wave force than the MLAC model, and its error is within 4%, while the numerical simulation error of the MLAC model is close to 10%, thus verifying the practical value of the viscous flow model for breakwater wave force in marine engineering.

Varunen Verman. Viscous Flow Model for Breakwater Wave Force in Marine Engineering. Frontiers in Ocean Engineering (2021), Vol. 2, Issue 1: 27-34. https://doi.org/10.38007/FOE.2021.020104.

[1] Hayashi K , Inc O C , Jose S , et al. Application of 2D ambient noise tomography to levee safety assessment in New Orleans. The Leading Edge, 2018, 37(10):740-745. https://doi.org/10.1190/tle37100740.1

[2] Zimmaro P , Dong Y K , Yi T T , et al. Database on seismic response of instrumented flood control levees:. Earthquake Spectra, 2020, 36(2):924-938. https://doi.org/10.1177/8755293019891712

[3] Keisuke, KOJIMA, Masaki, et al. Estimation of vibration characteristics of Kuzuryu River bank and subsurface structures based on microtremor observations. Journal of Japan Association for Earthquake Engineering, 2019, 19(5):512-520. https://doi.org/10.5610/jaee.19.5_12

[4] Beer G , Mallardo V , Ruocco E , et al. Isogeometric Boundary Element Analysis of steady incompressible viscous flow, Part 2: 3-D problems. Computer Methods in Applied Mechanics and Engineering, 2018, 332(APR.15):440-461. https://doi.org/10.1016/j.cma.2018.01.007

[5] Mm A , Jk B , Mp B , et al. Viscous flow spark plasma sintering of glass microspheres with YAG composition and high tendency to crystallization - ScienceDirect. Journal of the European Ceramic Society, 2020, 41( 2):1537-1542. https://doi.org/10.1016/j.jeurceramsoc.2020.10.015

[6] Mishra P , Hebert K . (Invited) Growth of Self-Ordered Porous Anodic Oxide Nanomaterials By Coupled Ion Migration and Viscous Flow. ECS Meeting Abstracts, 2020, MA2020-02(10):1199-1199. https://doi.org/10.1149/MA2020-02101199mtgabs

[7] Snoussi L , Babu S , JV Herráez, et al. Thermodynamic Parameters Modeling of Viscous Flow Activation in Ethylene Glycol-Water Fluid Systems. Iranian Journal Of Chemistry & Chemical Engineering-International English Edition, 2020, 39(3):287-301.

[8] Novakov I A ,  Radchenko F S ,  Ozerin A S , et al. Research Thermodynamics Of Viscous Flow Of Base Oils That Are The Basis For Lubricant Compositions. Izvestia Volgograd State Technical University, 2020(12(247)):89-93. https://doi.org/10.35211/1990-5297-2020-12-247-89-93

[9] Tarafder M S , Mursaline M A . Numerical Computation of Low Reynolds Number Viscous Flow Past Bluff Bodies. International Journal of Applied Mechanics and Engineering, 2020, 25(3):133-157. https://doi.org/10.2478/ijame-2020-0039

[10]  Rajamanickam P ,  Weiss A D . A Note on Viscous Flow Induced by Half-Line Sources Bounded by Conical Surfaces. The Quarterly Journal of Mechanics and Applied Mathematics, 2020, 73(1):24-35. https://doi.org/10.1093/qjmam/hbz020

[11] Tripathi S A . Stability of Viscous Flow in a Curved Porous Channel with Radial Flow. International Journal for Modern Trends in Science and Technology, 2020, 06(9):248-256. https://doi.org/10.46501/IJMTST060936

[12] Sayama, Shuji. Suppression of sea clutter and detection of small ship observed by an S‐band Radar. Electronics and Communications in Japan, 2018, 101(9):10-17. https://doi.org/10.1002/ecj.12094

[13] Rosenberg L , Duk V , Ng W H . Detection in Sea Clutter Using Sparse Signal Separation. IEEE Transactions on Aerospace and Electronic Systems, 2020, PP(99):1-1. https://doi.org/10.1109/RADAR42522.2020.9114813

[14] Otosaka I , Rivas M B , Stoffelen A . Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band. IEEE Transactions on Geoscience & Remote Sensing, 2018, 56(4):2248-2254. https://doi.org/10.1109/TGRS.2017.2777670

[15] Otosaka I , Rivas M B , Stoffelen A . Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4):2248-2254. https://doi.org/10.1109/TGRS.2017.2777670

[16] Parera-Portell J A , Ubach R , Gignac C . An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. The Cryosphere, 2020, 15(6):2803-2818. 

[17] Bu J , Yu K , Ni J , et al. Machine learning-based methods for sea surface rainfall detection from CYGNSS delay-doppler maps. GPS Solutions, 2020, 26(4):1-14. 

[18] Schller F , Plenge-Feidenhans'L M K , Stets J D , et al. Assessing Deep-learning Methods for Object Detection at Sea from LWIR Images. IFAC-PapersOnLine, 2019, 52( 21):64-71. https://doi.org/10.1016/j.ifacol.2019.12.284

[19] Borderon M , Kienberger S , Gupta I D , et al. australasian journal of disaster and trauma studies impact of riverbank erosion: a case study tuhin k das 1 sushil k haldar 2 debaprasad sarkar 3. Arabian Journal of Geosciences, 2018, 4(1-2):1-11.