Optimal arrangement design of pipeline support by considering safety and production cost
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Ships are generally designed by modifying and improving base ships, and the design process includes designing the arrangement of pipeline layout and supports. The pipeline must be placed within a limited compartment because of the features of a ship with limited space. Therefore, the designer must arrange the pipeline by considering various factors, such as the connection between the equipment, efficiency, space utilization, and economic feasibility. Several stress analysis conditions must be satisfied to ensure the pipeline safety, and the arrangement of pipeline supports must be modified according to the stress analysis results. In this study, we proposed a method for optimizing the arrangement design of pipeline supports, considering safety and production costs. First, we set the type of pipeline supportdwhether to install the pipeline support on each node and whether to change the loop length as a design variable. In general, efficiently installing pipeline supports will improve safety and reduce production costs. Moreover, installing more pipeline supports than necessary limits the flexibility of the pipeline and reduces its safety. Therefore, safety and economy should be considered when installing pipeline supports. However, it is challenging to satisfy both conditions simultaneously with the conventional manual arrangement design methods for pipeline support. In this study, the pipeline support arrangement design process was formulated as an optimization problem to derive an optimal arrangement design. The objective function was set considering the safety and production cost, and the stress analysis conditions of the pipeline were set as constraints to ensure the safety of the derived arrangement design. By solving the formalized optimal arrangement design problem described above, an optimal arrangement design for pipeline support that meets the design purpose was derived. Finally, we verified the effectiveness of the proposed method by applying it to an actual pipeline. Consequently, it was confirmed that the optimal pipeline support arrangement design could be derived by considering both the safety and economic feasibility of the pipeline.
Abstract
Ships are generally designed by modifying and improving base ships, and the design process includes designing the arrangement of pipeline layout and supports. The pipeline must be placed within a limited compartment because of the features of a ship with limited space. Therefore, the designer must arrange the pipeline by considering various factors, such as the connection between the equipment, efficiency, space utilization, and economic feasibility. Several stress analysis conditions must be satisfied to ensure the pipeline safety, and the arrangement of pipeline supports must be modified according to the stress analysis results. In this study, we proposed a method for optimizing the arrangement design of pipeline supports, considering safety and production costs. First, we set the type of pipeline supportdwhether to install the pipeline support on each node and whether to change the loop length as a design variable. In general, efficiently installing pipeline supports will improve safety and reduce production costs. Moreover, installing more pipeline supports than necessary limits the flexibility of the pipeline and reduces its safety. Therefore, safety and economy should be considered when installing pipeline supports. However, it is challenging to satisfy both conditions simultaneously with the conventional manual arrangement design methods for pipeline support. In this study, the pipeline support arrangement design process was formulated as an optimization problem to derive an optimal arrangement design. The objective function was set considering the safety and production cost, and the stress analysis conditions of the pipeline were set as constraints to ensure the safety of the derived arrangement design. By solving the formalized optimal arrangement design problem described above, an optimal arrangement design for pipeline support that meets the design purpose was derived. Finally, we verified the effectiveness of the proposed method by applying it to an actual pipeline. Consequently, it was confirmed that the optimal pipeline support arrangement design could be derived by considering both the safety and economic feasibility of the pipeline.
참고문헌 (26)
- Arora, J., "Introduction to Optimum Design" (2004), Elsevier
- Becht, C., "Process Piping: the Complete Guide to ASME B31. 3", Amer Society of Mechanical, ~ (2004)
- Xuanyi Bian, "Auto-routing Methods for Complex Ship Pipe Route Design", Journal of Ship Production and Design, 38(02), pp.100~114 (2022), The Society of Naval Architects and Marine Engineers[DOI]
- Do-Hyun Chun, "Optimum Arrangement Design of Mastic Ropes for Membrane-Type LNG Tanks Considering the Flatness of Thermal Insulation Panel and Production Cost", Journal of Marine Science and Engineering, 8(5), pp.353~ (2020), MDPI AG[DOI]
- L. Collini, "Thermomechanical stress analysis of dissimilar welded joints in pipe supports: Structural assessment and design optimization", Engineering Failure Analysis, 26, pp.31~49 (2012), Elsevier BV[DOI]
- K. Deb, "A fast and elitist multiobjective genetic algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, 6(2), pp.182~197 (2002), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Zongran Dong, "Ship Pipe Route Design Using Improved A* Algorithm and Genetic Algorithm", IEEE Access, 8, pp.153273~153296 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- R. Fletcher, "Nonlinear programming and nonsmooth optimization by successive linear programming", Mathematical Programming, 43(1-3), pp.235~256 (1989), Springer Science and Business Media LLC[DOI]
- Diju Gao, "An Energy Optimization Strategy for Hybrid Power Ships under Load Uncertainty Based on Load Power Prediction and Improved NSGA-II Algorithm", Energies, 11(7), pp.1699~ (2018), MDPI AG[DOI]
- Guan Guan, "An optimisation design method for cryogenic pipe support layout of LNG-Powered ships", Journal of Marine Engineering & Technology, 16(1), pp.45~50 (2017), Informa UK Limited[DOI]
- Gunawan, "Automated Pipe Routing Optimization for Ship Machinery", Journal of Marine Science and Application, 21(2), pp.170~178 (2022), Springer Science and Business Media LLC[DOI]
- Holland, J. H., "daptation in Natural and Artificial Systems: an Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence" (1992), MIT Press
- 강주영, "Optimisation of pipeline route in the presence of obstacles based on a least cost path algorithm and laplacian smoothing", International Journal of Naval Architecture and Ocean Engineering, 9(5), pp.492~498 (2017), 대한조선학회
- Kim Saekyeol, "Automatic design system for generating routing layout of tubes, hoses, and cable harnesses in a commercial truck", Journal of Computational Design and Engineering, 8(4), pp.1098~1114 (2021), 한국CDE학회[DOI]
- Kim Youngsu, "Application of reinforcement learning based on curriculum learning for the pipe auto-routing of ships", Journal of Computational Design and Engineering, 10(1), pp.318~328 (2023), 한국CDE학회[DOI]
- Kyu-Yeul Lee, "An improved genetic algorithm for facility layout problems having inner structure walls and passages", Computers & Operations Research, 30(1), pp.117~138 (2003), Elsevier BV[DOI]
- Kyu-Yeul Lee, "Optimal Compartment Layout Design for a Naval Ship Using an Improved Genetic Algorithm", Marine Technology and SNAME News, 39(03), pp.159~169 (2002), The Society of Naval Architects and Marine Engineers[DOI]
- Kyu-Yeul Lee, "An improved genetic algorithm for multi-floor facility layout problems having inner structure walls and passages", Computers & Operations Research, 32(4), pp.879~899 (2005), Elsevier BV[DOI]
- Maolin Liao, "Dynamic analysis and multi-objective optimization of an offshore drilling tube system with pipe-in-pipe structure", Applied Ocean Research, 75, pp.85~99 (2018), Elsevier BV[DOI]
- Jwa-Geun Min, "Faster pipe auto-routing using improved jump point search", International Journal of Naval Architecture and Ocean Engineering, 12, pp.596~604 (2020), 대한조선학회[DOI]
- Muhammad, A., "Static analysis and optimization of a connecting rod", Int. J. Eng. Technol. Sci, 6(1), pp.24~40 (2019)
- André L. M. Nahes, "Design Optimization of Double-Pipe Heat Exchangers Using a Discretized Model", Industrial & Engineering Chemistry Research, 60(48), pp.17611~17625 (2021), American Chemical Society (ACS)[DOI]
- Niu, W., "Ship pipe routing design using NSGA-II and coevolutionary algorithm", Math. Probl Eng., 791, pp.2863~ (2016)[DOI]
- 박정민, "비용 최소화를 위한 플래어 시스템의 배관 서포트 타입 최적설계", 대한조선학회 논문집, 48(4), pp.325~329 (2011), 대한조선학회
- Tang, Z., "Pipe stress optimization analysis based on MIGA algorithm", Proceedings of the 2020 International Conference on Computers. Information Processing and Advanced Education, pp.277~280 (2020)
- Yunlong Wang, "Optimal Design of Ship Branch Pipe Route by a Cooperative Co-Evolutionary Improved Particle Swarm Genetic Algorithm", Marine Technology Society Journal, 55(5), pp.116~128 (2021), Marine Technology Society[DOI]
