Performance Comparison of Hybrid Protection Methods in Weakening coast Waves 2 2 Considering the strategic importance of coastal areas from various aspects, their protection against waves is a coast management necessity. Since long ago, strong coastal structures have protected coasts, but since they disturb the coastal ecosystem balance, effort has been made to use them less or make them more compatible with the coast. This research is specifically aimed to estimate the efficiency of environment-based methods such as the combined tree planting-structural methods compared with merely structural methods, in damping the coastal waves and, hence, protecting the coasts. In this research, coastal dikes with 3 different height situated in 3 different locations in combination with 3 rows of tree under the influence of 5 wave heights are investigated. Experimental results showed that the highest wave damping (80%) occurs by positioning the structure in the beginning of the protected area, covered by trees at its tail. To check the force reduction rate, the most effective protection plan is when the structure is in the middle of the protected area and the tree cover lies in front as well as in the back of the structure. In this case, the wave force damping is 10.7 times the :case when: the coast has no obstacles; when there are no trees and the structure is alone, the wave force damping is more than 50%. This mode, compared to the best performance mode - the structure lies alone at the beginning of the protected area, has increased the wave force damping efficiency by about 14%. 1 12 2022/11/12 1401/8/21 2022/12/29 1401/10/8 Akram Rezapooran Akram Rezapooran MSC Student, Department of Water Science Engineering, Shahrekord University IRAN akramrezapooran@yahoo.com elham Ghanbari Adivi elham Ghanbari Adivi Assistant Professor, Department of Water Science Engineering, Shahrekord University IRAN elhamgh44@gmail.com Roohollah Fattahi Roohollah Fattahi Associated Professor, Department of Water Science Engineering, Shahrekord University IRAN fattahi@sku.ac.ir coastal dyke wave damping coast protection tree cover force absorption 1. Ghanbari Adivi, Elham, Fathi Moghadam, Manouchehr, Sadrinsab, Massoud. (2013). "Laboratory study of the effect of coastal green belt on the attenuation of sea waves", Journal of Marine Sciences and Techniques, 13(4), pp. 40-50. doi: 10.22113/jmst.2015.7987##2. Lashte Nashai, M.A., Metin Sarasht, A., Manshizadeh, M. and Hatami, F. (2007). Studying the phenomenon of coastal sediment transport in the direction perpendicular to the coast using physical and mathematical models. Iran's water resources research. Number 3. Pages 66-77.##3. Gracia, A., Nelson, R., Judith, A., Oakley, A.and Williams, T. (2018). Use of ecosystems in coastal erosion management.Elsevier. Ocean and Coastal Management: 277-289.##4. Zarei, M., Fathi Moghadam, M. and Davodi, L. (2015). Investigating the effect of coastal vegetation on the damping of the destructive force of unbreakable single waves on sloping beaches. Iranian Journal of Irrigation and Water Engineering. Period 6. Number 26: 62-77.##5. Ghanbari Adivi, E., Fathi Moghadam, M. (2015). 'Vegetation impact on the drag coefficient and resistance of trees against shore waves', Irrigation Sciences and Engineering, 38(2), pp. 103-112. doi: 10.22055/jise.2015.11352 (in Persian)##6. JalilMasir H, Fatahi R, Ghanbari Adivi E, Asadi M. Investigation on Flexible Trees Impact on Flow Pattern at the Coasts Using Physical Model. marine-engineering 2020; 16 (32) :9-19 URL: http://marine-eng.ir/article-1-814-fa.html##7. Jalil-Masir, H., Fattahi, R., Ghanbari-Adivi, E., & Aghbolaghi, M. A. (2021a). Effects of different forest cover configurations on reducing the solitary wave-induced total sediment transport in coastal areas: An experimental study. Ocean Engineering, 235, 109350.##8. Marcel, RA., & et al.(2020). Influence of oblique wave attack on wave overtopping at smooth and rough dikes with a berm. Coastal Engineering 160: 103734.##9. Mirzakhani, G., GhanbariAdivi, E., Fattahi, R. (2021). 'The Effect of Rigid Vegetation on the Sediment Transport Rate on the Coast', Iranian Journal of Soil and Water Research, 52(8), pp. 2155-2168. doi: 10.22059/ijswr.2021.325233.668994##10. Agh Toman, P., Chegini, V. Hosseinpour, M. Shirian, N. and Shafiifar, M. (2011). Investigating the passage of irregular waves through malleable breakwaters. Journal of Oceanology: 43-48##11. 11-Valipour, H. Shams, G. Ghanbari Adevi, A. (2022). Investigating the amount of forces caused by individual waves on coastal walls using OpenFOAM software. Journal of Marine Engineering, 18th year, number 36, pp. 79-93##12. Igarashi, Yoshiya, Norio Tanaka, and Takehito Zaha. Changes in Flow Structures and Energy Reduction through Compound Tsunami Mitigation System with Embankment and Lined Piles." Ocean Engineering 164 (2018): 722-32.##13. Sorensen, R.M., 2006. Basic Coastal Engineering. Springer Science and Business Media, New York, p. 324##14. Dean, R.G., Dalrymple, R.A., 1991. Water Wave Mechanics for Engineers and Scientists. World Scientific Publishing, Singapore, p. 353pp##15. Rezapooran, A., Ghanbari-Adivi, E. and Fattahi, Rohollah. (2022), Laboratory study of coastal protection using breakwater structure in comparison with the combination of dyke structure and tree cover, 12th##16. Igarashi, Y. and Tanaka, N., 2018. Effectiveness of a compound defense system of sea embankment and coastal forest against a tsunami. Ocean Engineering, 151, pp.246-256##17. Salehi, R., Fattahi, R., GhanbariAdivi, E., Asadi, M. (2021). 'Laboratory study of a coastal protection plan against waves using the green belt', Amphibious Science and Technology, 2(2), pp. 41-53. doi: 10.22034/jamst.2021.246245##18. Möller, I., Kudella, M., Rupprecht, F., Spencer, T., Paul, M., Van Wesenbeeck, B.K., Wolters, G., Jensen, K., Bouma, T.J., Miranda-Lange, M. and Schimmels, S., 2014. Wave attenuation over coastal salt marshes under storm surge conditions. Nature Geoscience, 7(10), pp.727-731.## ##

Numerical and experimental hydrodynamic analysis of catamaran with and without V-like center bow 2 2 Catamaran added V-like center bow (INCAT) is investigated as a wave-piercing vessel to decrease vertical acceleration and diminish slam events during sea-keeping operation. The catamaran and the vessel bow were modeled and the vertical acceleration of model was validated with experimenal test. The geometry of V-like center-bow such as slope of center bow and elevation from demi-hulls was optimized numerically in the case of 3 different slops of bow model. Considering different center bow elevation of 9.5 and 49.5 mm, the pressure contour of the INCAT vessels was compared numerically. The optimized INCAT vessel as well as the catamaran vessel was fabricated and exposed experimentally in a wavy environment with two significant wave height of 11 and 17 cm using a towing tank test. Thus hydrodynamic parameters such as vertical acceleration, heave, pitch, and resistance force were measured and compared. The results show no slam event in the environment with a wave height of 11 cm but the slam event occurr at the experiment with the wave height of 17 cm. 13 24 2022/11/122022/04/10 1401/1/21 2022/12/292023/01/2 1401/10/12 Mohammad Reza Negahdari Mohammad Reza Negahdari Chabahar Maritime University IRAN m.r.negahdari@gmail.com Amin Najafi Amin Najafi Imam Hossein comprehensive University IRAN najafi.amin@yahoo.com Peyman Ahmadi Peyman Ahmadi Imam Hossein comprehensive University IRAN payman.ahmadi0@yahoo.com Seyed Mahmood Kheradmand Seyed Mahmood Kheradmand Imam Hossein comprehensive University IRAN najafi.sharif@yahoo.com Catamaran INCAT V-like center bow Vertical acceleration slam AlaviMehr, J., Lavroff, J., Davis, M. R., Holloway, D. S., & Thomas, G. A. (2017). An experimental investigation of ride control algorithms for high-speed catamarans Part 1: Reduction of ship motions. Journal of Ship Research, 61(1), 35–49.##Davis, M. R., French, B. J., & Thomas, G. A. (2017). Wave slam on wave piercing catamarans in random head seas. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2017.03.007##Deng, R., Huang, D., Li, J., Cheng, X., & Yu, L. (2010). Discussion of grid generation for catamaran resistance calculation. Journal of Marine Science and Application, 9(2), 187–191. https://doi.org/10.1007/s11804-010-9080-2##Dessi, D. (2013). Reconstruction of the experimental slamming force distribution based on POD. International Conference on Offshore Mechanics and Arctic Engineering, 55430, V009T12A057.##Dessi, D., & Mariani, R. (2008). Analysis and prediction of slamming-induced loads of a high-speed monohull in regular waves. Journal of Ship Research, 52(1), 71–86.##French, B. J. (2012). Slamming of large high-speed catamarans in irregular seas. University of Tasmania.##French, B., Thomas, G. A., & Davis, M. R. (2014). Slam characteristics of a high-speed wave piercing catamaran in irregular waves. Royal Institution of Naval Architects. Transactions. Part A. International Journal of Maritime Engineering, 156(Part A1), A25--A36.##Grande, K., & Xia, J. (2009). Prediction of slamming occurrence on catamaran cross structures. ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering, 525–533.##Hudson, D., Molland, A., Price, W. G., & Temarel, P. (2001). Seakeeping performance of high speed catamaran vessels in head and oblique waves. Proceedings of the Sixth International Conference on Fast Sea Transportation (FAST 2001), Southampton, England, 1, 247–257.##Iacono, M. (2015). Hydrodynamics of Planing Hull by CFD. Napels Federico II.##Lavroff, J., Davis, M. R., Holloway, D. S., & Thomas, G. (2013). Wave slamming loads on wave-piercer catamarans operating at high-speed determined by hydro-elastic segmented model experiments. Marine Structures. https://doi.org/10.1016/j.marstruc.2013.05.001##Li-ping, S., Wu, N., & Wei, Z. (2006). Analysis of structural dynamic characteristics of a high speed light special catamaran. Journal of Marine Science and Application, 5(1), 1–5. https://doi.org/10.1007/s11804-006-0040-9##Matsubara, S. (2011). Ship motions and wave-induced loads on high speed catamarans. The University of Tasmania.##McVicar, J. J., Lavroff, J., Davis, M. R., & Thomas, G. A. (2016). Slam excitation scales for a large wave piercing catamaran and the effect on structural response. Transactions-Society of Naval Architects and Marine Engineers, 123, 442–451.##McVicar, J., Lavroff, J., Davis, M. R., & Davidson, G. (2016). Transient slam load estimation by RANSE simulation and by dynamic modeling of a hydroelastic segmented model. The 30th Symposium on Naval Hydrodynamics, 1–16.##Nasseroleslami, A., Sarreshtehdari, A., & Salari, M. (2020). Numerical Study of the Hydrodynamic Pressure Field Generated due to Ship Motion at Different Speeds. Journal of Applied Fluid Mechanics, 13, 1575–1586.##Panahi, R., Jahanbakhsh, E., & Seif, M. S. (2009). Towards simulation of 3D nonlinear high-speed vessels motion. Ocean Engineering, 36(3–4), 256–265.##Rafie Shahraki, J. (2014). The influence of hull form on the slamming behaviour of large high-speed catamarans. University of Tasmania.##Souto-Iglesias, A., Zamora-Rodr’iguez, R., Fernández-Gutiérrez, D., & Pérez-Rojas, L. (2007). Analysis of the wave system of a catamaran for CFD validation. Experiments in Fluids, 42(2), 321–332.##Thomas, G. (2009). The vibratory response of high-speed catamarans to slamming investigated by hydroelastic segmented model experiments. Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, 151, 1–13. https://doi.org/10.3940/rina.ijme.2009.a4.159##Thomas, G. A., Davis, M. R., & Holloway, D. S. (2003). The whipping vibration of large high speed catamarans. International Journal of Maritime Technology, 145, 289–304.##Thomas, G., Davis, M., Holloway, D., & Roberts, T. (2008). The vibratory damping of large high-speed catamarans. Marine Structures, 21, 1–22. https://doi.org/10.1016/j.marstruc.2007.12.003##Thomas, G., Davis, M., Holloway, D., Watson, N. L., & Roberts, T. J. (2003). Slamming Response of a Large High-Speed Wave-Piercer Catamaran. Marine Technology, 40, 126–140.##Thomas, G., Winkler, S., Davis, M., Holloway, D., Matsubara, S., Lavroff, J., & French, B. (2011). Slam events of high-speed catamarans in irregular waves. Journal of Marine Science and Technology, 16, 8–21. https://doi.org/10.1007/s00773-010-0105-y##Varyani, K. S., Gatiganti, R. M., & Gerigk, M. (2000). Motions and slamming impact on catamaran. Ocean Engineering, 27(7), 729–747.##Von Karman, T. (1929). The impact on seaplane floats during landing.##Vorus, W. S., & others. (1996). A flat cylinder theory for vessel impact and steady planing resistance. Journal of Ship Research, 40(02), 89–106.##Whelan, J. R. (2004). Wetdeck slamming of high-speed catamarans with a centre bow. University of Tasmania.##Zhao, R., & Faltinsen, O. (1993). Water entry of two-dimensional bodies. Journal of Fluid Mechanics, 246, 593–612.##Zhou, Z. (2003). A theory and analysis of planing catamarans in calm and rough water.## ##

A new multi-objective model for berth allocation and quay crane assignment problem with speed optimization and air emission considerations (A case study of Rajaee Port in Iran) 2 2 Over the past two decades, maritime transportation and container traffic worldwide has experienced rapid and continuous growth. With the increase in maritime transportation volume, the issue of greenhouse gas (GHG) emission has become one of the new concerns for port managers. Port managers and government agencies for sustainable development of maritime transportation considered "green ports" to balance between environmental impacts and economic interests. Therefore, this study aims to integrate the Berth Allocation and Quay Crane Assignment Problem (BACAP) with speed optimization and vessels emission considerations. Rajaee port, the most important port in Iran, was selected as the case study. A mathematical model is developed based on the main characteristics of this port and is solved by GAMS IDE/CPLEX software. Given the NP-hard complexity of the BACAP, exact solution approaches need huge time, even for small and medium problems. Hence, an adapted Non-Dominated Sorting Genetic Algorithm-II (NSGA- II) and a Multi-Objective Simulated Annealing (MOSA) algorithm are adopted to deal with the complexity of the proposed model. Sensitivity analysis is used to assess the applicability of the proposed model and evaluate the efficiency of the solution algorithms. 25 48 2022/11/122022/04/102022/04/26 1401/2/6 2022/12/292023/01/22023/01/9 1401/10/19 Sadegh Sharifi Sadegh Sharifi Department of Industrial Engineering, Faculty of Engineering, University of Hormozgan, Bandar Abbas, Iran; IRAN S.Sharifi.Stu@hormozgan.ac.ir seyed farzad hosseini seyed farzad hosseini Department of Industrial Engineering, Faculty of Engineering, University of Hormozgan, Bandar Abbas, Iran; IRAN farzad@hormozgan.ac.ir mohammad kananizadeh mohammad kananizadeh Department of Industrial Engineering, Faculty of Engineering, University of Hormozgan, Bandar Abbas, Iran; IRAN mohammad.kananizadeh@gmail.com Hadi Gholami Hadi Gholami Independent Researcher, Amol, Mazandaran, Iran IRAN gholamihd@gmail.com Container Terminals Berth Allocation Problem Quay Crane Assignment Mathematical Modeling Green Ports 1. Stopford, M., Maritime economics 3e. 2008: Routledge.##2. Heaver, T.D., The evolution of maritime economics. The Blackwell companion to maritime economics, 2012: p. 16-33.##3. Hillier, F., Introduction to Operations Research. Penn Plaza. 2015, New York: McGraw-Hill Education.##4. UNCTAD, Review of Maritime Transport 2020. 2020, United Nations Conference on Trade and## Development (UNCTAD), Geneva.##5. Valls, J.F.C., Models and algorithms for berth allocation problems in port terminals. 2017, Universitat de València.##6. Chen, C., et al., Ship emission impacts on air quality and human health in the Pearl River Delta (PRD) region, China, in 2015, with projections to 2030. GeoHealth, 2019. 3(9): p. 284-306.##7. Zheng, J., C. Fu, and H. Kuang, Location of regional and international hub ports in liner shipping. Maritime Business Review, 2017.##8. Hamidi, S.M.M., et al., Blockchain Capabilities to Improve the Productivity of Maritime Logistics Processes: Review, Taxonomy, Open Challenges and Future Trends. Journal of Information Technology Management, 2022. 14(Special Issue: The business value of Blockchain, challenges, and perspectives.): p. 144-170.##9. Kim, K.H. and K.C. Moon, Berth scheduling by simulated annealing. Transportation Research Part B: Methodological, 2003. 37(6): p. 541-560.##10. Steenken, D., S. Voß, and R. Stahlbock, Container terminal operation and operations research-a classification and literature review. OR spectrum, 2004. 26(1): p. 3-49.##11. Stahlbock, R. and S. Voß, Operations research at container terminals: a literature update. OR spectrum, 2008. 30(1): p. 1-52.##12. Bierwirth, C. and F. Meisel, A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 2015. 244(3): p. 675-689.##13. Meisel, F. and C. Bierwirth, Heuristics for the integration of crane productivity in the berth allocation problem. Transportation Research Part E: Logistics and Transportation Review, 2009. 45(1): p. 196-209.##14. Blazewicz, J., et al., Berth and quay crane allocation: a moldable task scheduling model. Journal of the Operational Research Society, 2011. 62(7): p. 1189-1197.##15. Türkoğulları, Y.B., et al., Optimal berth allocation and time-invariant quay crane assignment in container terminals. European Journal of Operational Research, 2014. 235(1): p. 88-101.##16. Shang, X.T., J.X. Cao, and J. Ren, A robust optimization approach to the integrated berth allocation and quay crane assignment problem. Transportation Research Part E: Logistics and Transportation Review, 2016. 94: p. 44-65.##17. He, J., et al., Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency. Advanced Engineering Informatics, 2021. 47: p. 101252.##18. Park, Y.-M. and K.H. Kim, A scheduling method for berth and quay cranes, in Container terminals and automated transport systems. 2005, Springer. p. 159-181.##19. Imai, A., et al., The simultaneous berth and quay crane allocation problem. Transportation Research Part E: Logistics and Transportation Review, 2008. 44(5): p. 900-920.##20. Liang, C., Y. Huang, and Y. Yang, A quay crane dynamic scheduling problem by hybrid evolutionary algorithm for berth allocation planning. Computers & Industrial Engineering, 2009. 56(3): p. 1021-1028.##21. Golias, M., et al., The berth-scheduling problem: Maximizing berth productivity and minimizing fuel consumption and emissions production. Transportation Research Record, 2010. 2166(1): p. 20-27.##22. Giallombardo, G., et al., Modeling and solving the tactical berth allocation problem. Transportation Research Part B: Methodological, 2010. 44(2): p. 232-245.##23. Alvarez, J.F., T. Longva, and E.S. Engebrethsen, A methodology to assess vessel berthing and speed optimization policies. Maritime economics & logistics, 2010. 12(4): p. 327-346.##24. Raa, B., W. Dullaert, and R. Van Schaeren, An enriched model for the integrated berth allocation and quay crane assignment problem. Expert Systems with Applications, 2011. 38(11): p. 14136-14147.##25. Davidovic, T., N. Kovac, and Z. Stanimirovic. VNS-based approach to minimum cost hybrid berth allocation problem. in Proc. XLII International Symposium on Operations Research, SYMOPIS. 2015.##26. Lalla-Ruiz, E., et al., A set-partitioning-based model for the berth allocation problem under time-dependent limitations. European Journal of Operational Research, 2016. 250(3): p. 1001-1012.##27. He, J., Berth allocation and quay crane assignment in a container terminal for the trade-off between time-saving and energy-saving. Advanced Engineering Informatics, 2016. 30(3): p. 390-405.##28. Karam, A. and A.B. Eltawil, Functional integration approach for the berth allocation, quay crane assignment and specific quay crane assignment problems. Computers & Industrial Engineering, 2016. 102: p. 458-466.##29. Qin, T., Y. Du, and M. Sha, Evaluating the solution performance of IP and CP for berth allocation with time-varying water depth. Transportation Research Part E: Logistics and Transportation Review, 2016. 87: p. 167-185.##30. Schepler, X., et al., Global planning in a multi-terminal and multi-modal maritime container port. Transportation Research Part E: Logistics and Transportation Review, 2017. 100: p. 38-62.##31. Zhen, L., et al., Daily berth planning in a tidal port with channel flow control. Transportation Research Part B: Methodological, 2017. 106: p. 193-217.##32. Iris, Ç., D. Pacino, and S. Ropke, Improved formulations and an adaptive large neighborhood search heuristic for the integrated berth allocation and quay crane assignment problem. Transportation Research Part E: Logistics and Transportation Review, 2017. 105: p. 123-147.##33. Agra, A. and M. Oliveira, MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem. European Journal of Operational Research, 2018. 264(1): p. 138-148.##34. Xiang, X., C. Liu, and L. Miao, Reactive strategy for discrete berth allocation and quay crane assignment problems under uncertainty. Computers & Industrial Engineering, 2018. 126: p. 196-216.##35. Dulebenets, M.A., Minimizing the total liner shipping route service costs via application of an efficient collaborative agreement. IEEE Transactions on Intelligent Transportation Systems, 2018. 20(1): p. 123-136.##36. Wang, R., et al., Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm and evolutionary computation, 2019. 44: p. 1003-1017.##37. Tasoglu, G. and G. Yildiz, Simulated annealing based simulation optimization method for solving integrated berth allocation and quay crane scheduling problems. Simulation Modelling Practice and Theory, 2019. 97: p. 101948.##38. Zhen, L., et al., Route and speed optimization for liner ships under emission control policies. Transportation Research Part C: Emerging Technologies, 2020. 110: p. 330-345.##39. Liu, C., Iterative heuristic for simultaneous allocations of berths, quay cranes, and yards under practical situations. Transportation Research Part E: Logistics and Transportation Review, 2020. 133: p. 101814.##40. Li, L., et al., Ship’s response strategy to emission control areas: From the perspective of sailing pattern optimization and evasion strategy selection. Transportation Research Part E: Logistics and Transportation Review, 2020. 133: p. 101835.##41. Bacalhau, E.T., L. Casacio, and A.T. de Azevedo, New hybrid genetic algorithms to solve dynamic berth allocation problem. Expert Systems with Applications, 2021. 167: p. 114198.##42. Nourmohammadzadeh, A. and S. Voß, A robust multiobjective model for the integrated berth and quay crane scheduling problem at seaside container terminals. Annals of Mathematics and Artificial Intelligence, 2022. 90(7): p. 831-853.##43. Agra, A. and F. Rodrigues, Distributionally robust optimization for the berth allocation problem under uncertainty. Transportation Research Part B: Methodological, 2022. 164: p. 1-24.##44. Guo, L., et al., The berth assignment and allocation problem considering cooperative liner carriers. Transportation Research Part E: Logistics and Transportation Review, 2022. 164: p. 102793.##45. Pérez-Cañedo, B., et al., A multi-objective berth allocation problem in fuzzy environment. Neurocomputing, 2022. 500: p. 341-350.##46. Tang, S., J.G. Jin, and C. Lu, Investigation of berth allocation problem in container ports considering the variety of disruption. Computers & Industrial Engineering, 2022. 172: p. 108564.##47. Wang, S., Z. Liu, and X. Qu, Collaborative mechanisms for berth allocation. Advanced Engineering Informatics, 2015. 29(3): p. 332-338.##48. Bierwirth, C. and F. Meisel, A survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 2010. 202(3): p. 615-627.##49. Fagerholt, K., G. Laporte, and I. Norstad, Reducing fuel emissions by optimizing speed on shipping routes. Journal of the Operational Research Society, 2010. 61(3): p. 523-529.##50. Martin-Iradi, B., D. Pacino, and S. Ropke, The multi-port berth allocation problem with speed optimization: Exact methods and a cooperative game analysis. arXiv preprint arXiv:2011.15085, 2020.##51. Du, Y., et al., Berth allocation considering fuel consumption and vessel emissions. Transportation Research Part E: Logistics and Transportation Review, 2011. 47(6): p. 1021-1037.##52. Coello, C.A.C., G.B. Lamont, and D.A. Van Veldhuizen, Evolutionary algorithms for solving multi-objective problems. Vol. 5. 2007: Springer.##53. Lang, N. and A. Veenstra, A quantitative analysis of container vessel arrival planning strategies. OR spectrum, 2010. 32(3): p. 477-499.##54. Venturini, G., et al., The multi-port berth allocation problem with speed optimization and emission considerations. Transportation Research Part D: Transport and Environment, 2017. 54: p. 142-159.##55. Alizadeh, F. and D. Goldfarb, Second-order cone programming. Mathematical programming, 2003. 95(1): p. 3-51.##56. Golias, M.M., et al., The berth allocation problem: Optimizing vessel arrival time. Maritime Economics & Logistics, 2009. 11(4): p. 358-377.##57. Shafaghat, M., Predicting the sediment rate of Nakhilo Port using artificial intelligence. International Journal of coastal and offshore engineering, 2021. 4: p. 41-49.##58. Shafaghat, M. and R. Dezvareh, Support vector machine for classification and regression of coastal sediment transport. Arabian Journal of Geosciences, 2021. 14(19): p. 2009.##59. Khan, N., D.E. Goldberg, and M. Pelikan. Multi-objective Bayesian optimization algorithm. in Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. 2002. Citeseer.##60. Gholami, H. and M.T. Rezvan, A cooperative multi-agent offline learning algorithm to scheduling IoT workflows in the cloud computing environment. Concurrency and Computation: Practice and Experience, 2022. 34(22): p. e7148.##61. Aghaei, J., N. Amjady, and H.A. Shayanfar, Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method. Applied Soft Computing, 2011. 11(4): p. 3846-3858.##62. Mavrotas, G., Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 2009. 213(2): p. 455-465.##63. Ehrgott, M., Multicriteria optimization. Vol. 491. 2005: Springer Science & Business Media.##64. Nikas, A., et al., A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems. Operational Research, 2020: p. 1-42.##65. Behjat, S. and N. Nahavandi, Quay Cranes and Yard Trucks Scheduling Problem at Container Terminals. International Journal of Engineering, 2020. 33(9): p. 1751-1758.##66. Rezvan, M.T., H. Gholami, and R. Zakerian, A novel algorithm for solving the parallel machine scheduling problem to maximize benefit and the number of jobs processed. Journal of Quality Engineering and Production Optimization, 2021. 6(2): p. 115-142.##67. Gholami, H. and R. Zakerian. A list-based heuristic algorithm for static task scheduling in heterogeneous distributed computing systems. in 2020 6th International Conference on Web Research (ICWR). 2020. IEEE.##68. Serafini, P., Simulated annealing for multi objective optimization problems, in Multiple criteria decision making. 1994, Springer. p. 283-292.##69. Dowsland, K.A., Some experiments with simulated annealing techniques for packing problems. European Journal of Operational Research, 1993. 68(3): p. 389-399.##70. Deb, K., et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. in International conference on parallel problem solving from nature. 2000. Springer.##71. Arab, R., S. Ghaderi, and R. Tavakkoli-Moghaddam, Solving a new multi-objective inventory-routing problem by a non-dominated sorting genetic algorithm. International Journal of Engineering, 2018. 31(4): p. 588-596.##72. Brooke, A., et al., The general algebraic modeling system. GAMS Development Corporation, 1998. 1050.##73. Wawrzyniak, J., M. Drozdowski, and É. Sanlaville, Selecting algorithms for large berth allocation problems. European Journal of Operational Research, 2020. 283(3): p. 844-862.##74. Ilati, G., A. Sheikholeslami, and E. Hassannayebi, A simulation-based optimization approach for integrated port resource allocation problem. PROMET-Traffic&Transportation, 2014. 26(3): p. 243-255.##75. Hoseini, S.F., et al., Simultaneous optimisation of seaside operations in container terminals: a case study of the Iranian Rajaee port. International Journal of Shipping and Transport Logistics, 2018. 10(5-6): p. 587-617.##76. Jolai, F., et al., Bi-objective simulated annealing approaches for no-wait two-stage flexible flow shop scheduling problem. Scientia Iranica, 2013. 20(3): p. 861-872.##77. Behnamian, J., S.F. Ghomi, and M. Zandieh, A multi-phase covering Pareto-optimal front method to multi-objective scheduling in a realistic hybrid flowshop using a hybrid metaheuristic. Expert Systems with Applications, 2009. 36(8): p. 11057-11069.## ##

Hydrodynamic and Sediment Transport Studies of Gorgan Bay (Case Study: Khozeini Channel and Investigation of Jetty’s Role in Reducing Active Sedimentation After Channel Dredging) 2 2 Gorgan Bay is one of the greatest economic and ecological areas in Iran and is used as a recreational and fishery center by the region's residents. This bay connects to the Caspian Sea through two channels, Ashuradeh and Chapoqli. The hydraulic connection of Gorgan Bay with the Caspian Sea greatly impacts water recirculation and aquatic life in this region. As a result, the decrease in the water level of the Caspian Sea, and the disruption of the hydraulic connection between them have caused problems with the water quality in the bay in recent years. Several solutions have been proposed to solve these problems, including dredging the Ashuradeh and Chapoqli channels, reopening the Khozeini channel, and transferring water by pipeline to the west of the bay. Although the mentioned actions can increase the volume of water exchanges and reduce water retention time, each action requires careful consideration to estimate its long-term effectiveness. Considering the possibility of re-sedimentation in each of the above channels, studying sedimentation and erosion patterns in this area can help determine the shape, depth, and duration of dredging and the economic justification of jetty construction at the channels’ mouth. Hence, in this study, the amount of sediment load beside the patterns of erosion and sedimentation after dredging the Khozeini channel as well as the effects of implementing jetties have been determined using Mike 21. Based on the simulation results, the area has an active sedimentary pattern that can impact the bed level inside the channel. These effects can be reduced at the channel’s mouth by constructing two jetties on its sides. 49 56 2022/11/122022/04/102022/04/262022/06/13 1401/3/23 2022/12/292023/01/22023/01/92023/01/26 1401/11/6 Mahdieh givehki Mahdieh givehki Sharif University of Technology IRAN mahdiehgiveki@gmail.com Ebrahim Shabani Ebrahim Shabani Ahvaz Azad University IRAN m.e.shabani@gmail.com Mohammad Adibzade Mohammad Adibzade Tarbiat Modares University IRAN mohammad.adibzade@modares.ac.ir Khozeini Channel Sediment Transport Modeling Gorgan Bay Mike-21 1-Technical Report, Pouya Tarhe Pars. (2018).##2-Wang XH, Pinardi N, Malacic V., (2007), Sediment transport and resuspension due to combined motion of wave and current in the northern Adriatic Sea during a Bora event in January 2001: A numerical modelling study. Cont Shelf Res, Coastal shelf research, Vol. 27(5), p.613–33 https://doi.org/10.1016/j.csr.2006.10.008.##3-Margvelashvili N, Saint-Cast F, Condie S., (2008), Numerical modelling of the suspended sediment transport in Torres Strait. Cont Shelf Res; Vol.28(16),p2241–56. https://doi.org/10.1016/j.csr.2008.03.037.##4-Zavattero E, Du M, Ma Q, Delestre O., (2016), Gourbesville P. 2D Sediment Transport Modelling in High Energy River – Application to Var River, France. Procedia Eng; Vol.154, p.536–43. https://doi.org/10.1016/j.proeng.2016.07.549.##5-Sravanthi N, Ramakrishnan R, Rajawat AS, Narayana AC., (2015), Application of Numerical Model in Suspended Sediment Transport Studies along the Central Kerala, West-coast of India. Aquat Procedia; Vol.4, p.109–16. https://doi.org/10.1016/j.aqpro.2015.02.016.##6-Pradhan S, Samal RN, Choudhury SB, Mohanty PK., (2018), Hydrodynamic and cohesive sediment transport modeling in chilika lagoon. ISPRS Ann Photogramm Remote Sens Spat Inf Sci; vol.4, p.141–9. https://doi.org/10.5194/isprs-annals-IV-5-141-2018.##7-Gelfort A, Ladage F, Stoschek O., (2011), NUMERICAL MODELING OF MORPHODYNAMIC CHANGES IN THE JADE ESTUARY – GERMANY. Coast Eng Proc, p.1–11.##8-Kozyrakis G V, Delis AI, Alexandrakis G, Kampanis NA., (2016), Numerical modeling of sediment transport applied to coastal morphodynamics. Appl Numer Math, Vol.104, p.30–46.##9-Khoshravan H., (2018), Comparison of Numerical Model Results and Mofological Field Evidence and Complications in Miankaleh Coasts, Vol.13, p.37–53. https://dx.doi.org/10.30482/jhyd.2018.60136##10-Sharbati S., (2018) Investigation of the possible future of Gorgan Bay after separation from the Caspian Sea from the perspective of ecological sequence, Journal of environmental science and technology Vol.6(1), p.41–53. https://dx.doi.org/10.22069/japu.2018.14612.1426##11-Roude H., Lorestani F., and Valikhani S., (2013) Simulation of wave dynamics and sand transport on the Caspian Sea coast (Gorgan Bay area), Quantitative morphological research, Vol.2(2), p.1-18. https://dx.doi.org/10.22069/japu.2018.14612.1426. 8-##12-Sharbati S., (2016), The need to study the effects of lowering the Caspian Sea water level on the situation in the Gulf of Gorgan and provide a way out of the crisis in the coming years, Journal of Aquatic Exploitation and Breeding, Vol.5(1), p.83–106. https://dx.doi.org/10.22069/japu.2017.11452.1310##13-Kheirabadi, H., Valisamani, J., Nouri, H., and Ranjbar, H., (2015), Three-dimensional simulation of Gorgan Bay hydrodynamics by MIKE3 FM model, Iran Hydraulic Conference, Vol. 14, p.1–7.##14-Charibreza, M., Motamed, A., RahimPour., and anaraki H., (2006), Sediments and transport and deposition mechanism in Gorgan Bay, p.1-7 https://www.civilica.com/PaperICOPMAS07-ICOPMAS07_007.html##15-Sharbaty, S., and Nasimi, S., (2018), Modeling of Possible Dredging Effects of Khozeini Channel on the Water Renewal Time in Gorgan Bay, Southeast of tmj nhe Caspian Sea, Journal of environmental science and technology, Vol.20(1), p.15-28##16-Khoshravan, H., and Nasimi, S,. (2017), Water exchange solution between Gorgan Bay and Caspian Sea, Vol.245:130–134.##17-Sharbati, S., and Shaabani, A., (2016), Effects of reopening of Khozeini channel on the general flow pattern in Gorgan Bay (southeast of Caspian Sea), Quarterly Journal of Environmental Science and Technology, Vol.18, p.67–80.##18-Ataei, S., Adjami, M., Lashteh Neshaei, MA. Ya’asubi, SH., (2017), The Effect of Sea Level Fluctuations on the Caspian Sea Coastline Changes. Int J Marit Technol, Journal of marine engineering, Vol.12, p.103–13., and, p.105–116.## ##

Reduction of Effect of Waves Disturbance on Ship Roll Motion by Using Robust Nonlinear Control 2 2 This paper presents a new robust fin control method based on L2 gain design to reduce ship roll motion and waves disturbance effects. The process involves the nonlinear dynamics of the ship roll and its fin actuator. External disturbances of waves and model parameters variations are considered as process uncertainties. The state feedback controller is designed to reduce the effect of wave disturbance on the controllable variables of the process. For controller design, nonlinear H∞ approach has been employed in the sense that it ensures the stability of the process and achieves the desired control objectives. To solve the inequalities associated with the nonlinear H∞ problem, an efficient SOSTOOL-based algorithm is presented. Simulation results are presented to evaluate the efficiency of the proposed approach. In order to validate the proposed algorithm, it is compared with PID controller. Results show the superiority of the designed controller based on Robust Nonlinear H∞control over PID controller. 57 64 2022/11/122022/04/102022/04/262022/06/132023/01/18 1401/10/28 2022/12/292023/01/22023/01/92023/01/262023/02/23 1401/12/4 hamid malekizadeh hamid malekizadeh Department of Electrical Engineering, Imam Khomeini University of Maritime Sciences, Noshahr, Mazandaran, Iran IRAN h.malekizadeh@yahoo.com ship roll L_2 gain robust control nonlinear H_∞ control [1] Perez, T. and Goodwin, C.G., (2008), Constrained predictive control of ship fin stabilizers to prevent dynamic stall, Control Engineering Practice , vol. 16(2), p. 482-494.##[2] Lihua, L, and Yu, W., (2018) Rudder roll stabilization with disturbance compensation model##predictive control, Journal of Marine Science and Technology , vol. 24(1), p. 249-259.##[3] Perez, T, and Blank, M., (2012), Ship roll damping control, Annual Reviews in Control , vol. 36(1), p. 129-147.##[4] Lloyd, A. R. J. M, (1989), Seakeeping: ship behaviour in rough weather, E. Horwood.##[5] Songtao, ZH., Peng, ZH., (2021), L2-Gain Based Adaptive Robust Heel/Roll Reduction Control Using Fin Stabilizer during Ship Turns, Marine Science and Engineering, vol. 9(1), p.89-97.##[6] Jimoh, I.A., kucukdemiral, I.B., Bevan, G., (2021), L2-Gain Based Adaptive Robust Heel/Roll Reduction Control Using Fin Stabilizer during Ship Turns, Ocean Engineering , vol. 224, p.108-117 .##[7] Sellars, FH., (1992), Selection and Evaluation of Ship Roll Stabilization Systems, Marine Technology.vol 29(2), p.223-232.##[8] Ghaemi, R, Jing, S. and Ilya V. K., (2009), Robust control of ship fin stabilizers subject to disturbances and constraints, American Control Conference, p.537-542.##[9] Lee, S., Key-Pyo, R. and Jin-Woo, C., (2011) Design of the roll stabilization controller, using fin stabilizers and pod propellers, Applied Ocean Research, vol 33(4), p.229-239.##[10] Hinostroza, M. A., Weilin, L. and Soares, C.G., (2015) Robust fin control for ship roll stabilization based on L2-gain design, Ocean Engineering, p.126-131.## [11] Do, K. D. and Jie, P., (2001), Nonlinear robust fin roll stabilization of surface ships using neural networks, Proceedings of the 40th IEEE Conference on Decision and Control, Vol3,p.2726-2731.##[12] Yang, Y. and Bo, J., (2004), Variable structure robust fin control for ship roll stabilization with actuator system, American Control Conference, , Vol. 6, p.5212-5217.##[13] Luo, W., Wenjing, L. and Zaojian, Z., (2013), Robust fin control for ship roll stabilization by using functional-link neural networks, International Symposium on Neural Networks. Springer, Berlin, Heidelberg.##[14] Moradi, M. and Malekizade, H. (2013), Robust adaptive first–second-order sliding mode control to stabilize the uncertain fin-roll dynamic, Ocean Engineering, vol. 69, p.18-23. ## [15] Weilin, L., Bingbing, H. and Tieshan, L. (2017), Neural network based fin control for ship roll stabilization With guaranteed robustness, Neurocomputing , vol. 230, pp 210-218.##[16] Malekizadeh, H. , Moaveni, B. , Jahed-Motlagh, M., (2018), Coefficients Extraction of Model and Constrained Controller Design for Fin-Roll Stabilizer System in a Fishing Boat, Journal of Ship Production and Design , vol. 34(03), p. 226–235.##[17] Aliyu, M. D. S., (2011), Nonlinear control, Hamiltonian systems and Hamilton-Jacobi equations, CRC Press.##[18] Prajna, S., Antonis, P., Peter, S. and Pablo, A. P., (2004), Sum of Squares Optimization Toolbox for MATLAB User’s guide.## [19] Capua, A., (2013), Nonlinear Output-Feedback Control for Spacecraft Attitude Control: Advances in Aerospace Guidance, Navigation and Control, Springer, Berlin, Heidelberg, p.139-158.##[20] Zheng, Q. and Fen W., (2011), Generalized nonlinear synthesis condition with its numerically efficient solution, International Journal of Robust and Nonlinear Control,vol. 21(18), p. 2079-2100.## ##

The Effect of FPSO’s Mooring System on Dynamic Response and Fatigue Life of Riser 2 2 The effects of mooring system selection (turret and spread) are investigated on dynamic performance and fatigue life of steel catenary riser (SCR) and lazy-wave steel catenary riser (LWSCR) as two of the most conventionally used flexible risers. The fully coupled hull, mooring, and riser models are simulated by finite element method under the same environmental conditions and floater specification. It was demonstrated that the changes in the mooring system from turret to spread have more influence on SCR than LWSCR in terms of the displacement range of the TDP, dynamic response, and maximum von-misses stress. The fatigue results of the two types of risers are considerably affected by mooring systems selection. According to the results, it can be inferred that the use of the turret mooring system increases the fatigue life of SCR while in LWSCR, the spread mooring system improves fatigue life. 65 75 2022/11/122022/04/102022/04/262022/06/132023/01/182021/10/30 1400/8/8 2022/12/292023/01/22023/01/92023/01/262023/02/232023/02/22 1401/12/3 pedram edalat pedram edalat Assistant Professor, Mechanical Engineering Department, Petroleum University of Technology IRAN edalat@put.ac.ir Saeed Imani Bidgoli Saeed Imani Bidgoli Petroleum University of Technology IRAN Imani.saeed@yahoo.com Turret/spread mooring Catenary riser Lazy-wave FPSO Mooring-riser interaction [1] Maffra, S. A., Pacheco, M. A., & Menezes, I. F. (2003): Genetic Algorithm Optimization for Mooring System. Rio de Janeiro: TECGRAF Institude.##[1] Howell, G. B., Duggal, A. S., Heyl, C., & Ihonde, O. (2006): Spread Moored or Turret Moored FPSO’s for Deepwater Field Developments. Offshore west Africa. Offshore West Africa.##[3] Han, J. S., & Kim, Y. H. (2010): A comparative study on the fatigue life of mooring systems with different compositions. International Conference on Hydrodynamics. ##[4] Qiao, D., Jinping, O., & F, W. (2012): Design Selection Analysis for Mooring Positioning System of Deepwater. International Offshore and Polar Engineering Conference. Rhodes, Greece.##[5] Shanying, L., Liping, S., Shiguang, Z., Heming, J., & Yunlong, G. (2013): The Comparison and Analysis between Catenary Mooring System and Taut Mooring System of FPSO. Advances in Information Sciences and Service Sciences.##[6] Feng Zi, L., & Ying Min, L. (2012): Fatigue reliability analysis of a steel catenary riser at the touchdown point incorporating soil model uncertainties. Elsevier, Applied Ocean Research, vol. 38, 100-110.##[7] Zhao, B. (June 2013): Fatigue Analysis of Flexible Riser – Effect of Mean Stress Correction Procedures.##[8] Vidic-Perunovic, J., X. S. Guo, D., L. Wang, S., F. Hopen, S. M., & Head, W. J. (2014): Steel Catenary Riser Design for Cylindrical FPSO Application in Ultra-Deep. Offshore Technology Conference. ##[9] Royer, B. S., Power, T. L., Ayewah, D. O., & Head, W. (2014): Assessment of Ultra Deepwater Riser Concepts for High-Motion Vessels. Offshore Technology Conference. ##[10] Shahriari, S., Imani Bidgoli, S., & Edalat, P. (2015): Riser Characteristic Assessment for Deep Water: TDP and Bending Moment. 6th International Offshore Industries Conference. Sharif University-Tehran-Iran.##[11] Seungjun Kim, & Moo-Hyun Kim. (2015): Dynamic behaviors of conventional SCR and lazy-wave SCR for FPSOs. Elsevier, Ocean engineering, 106, 396-414.##[12] Rodolfo, B. S., Edward, C. C., Dimitris, L., Charles A. (2017): Study on Effect of Coupled Horizontal and Vertical Interaction of Steel Catenary Risers with the Seabed within the Touchdown Region. Offshore Technology Conference, Houston, Texas, USA.##[13] Bai, Y., & Bai, Q. (2010.): In Subsea Engineering Handbook. Gulf Professional Publishing.##[14] Dikdogmus, H. (2012). In Riser consepts for deep water. Norway: Department of Marine Technology Norwegian University of Science and Technology.##[15] ISO/NP 19901-7. (2013): In Stationkeeping systems for floating offshore structures and mobile offshore units. ##[16] DNV RP-F204 . (2010): In Riser Fatigue. Norway: Det Norske Veritas.##[17] Orcaflex . (2015): User manual. UK: Orcina.##[18] DNV RP-C203. (2014): In Fatigue design of offshore steel structures (p. 2.10). Norway: DNVGL.##[19] DNV OS-F201. (2001&2010): In Dynamic Risers. Norway: Det Norske Veritas.##[20] American Petroleum Institute (API) (2007): In Guidance on hurricane condition in the Gulf of Mexico. Washington D.C., USA: API.##[21] API. (2009): Design of risers for floating production (FPSs) and tension-leg platforms(TLPs). Washington,D.C.,USA: API.## ##