Propulsion shaft alignment measurements on warships afloat and alignment solution using multi-objective optimisation

被引:0
|
作者
Indian Navy [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
不详 [5 ]
不详 [6 ]
机构
关键词
Hulls (ship) - Optimization - Propulsion - Software engineering - Strain gages - Warships;
D O I
暂无
中图分类号
学科分类号
摘要
This paper defines a generalised and simplified procedure which has been devised so that the alignment checks of a warship propulsion shaft line can be undertaken while the ship is afloat, against more traditional methods which often require dry docking of the ship. Strain gauge measurements on the shaftline are fed into the developed software titled 'MARSHAL' which uses finite element calculations to enable the entire alignment measurement process to be carried out with the ship afloat. The procedure also makes the difficult task of assessing hull deflections, required by traditional methods, unnecessary. The alignment solution is obtained by the way of a two stage 'Multi-objective Optimisation' procedure. The validation of the developed software and procedure has been carried out by comparisons of the software solutions with real propulsion shaft data and by way of simulations and experimental work.
引用
收藏
相关论文
共 50 条
  • [31] Reliability-based multi-objective optimization in tunneling alignment under uncertainty
    Feng, Liuyang
    Zhang, Limao
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 63 (06) : 3007 - 3025
  • [32] Improving the Efficiency of Multi-Objective Grasshopper Optimization Algorithm to Enhance Ontology Alignment
    LV Zhaoming
    PENG Rong
    WuhanUniversityJournalofNaturalSciences, 2022, 27 (03) : 240 - 254
  • [33] Multi-Objective Optimisation of Urban Form: A Framework for Selecting the Optimal Solution
    Showkatbakhsh, Milad
    Makki, Mohammed
    BUILDINGS, 2022, 12 (09)
  • [34] MULTI-OBJECTIVE DESIGN OPTIMISATION OF A 3D-RAIL STAMPING PROCESS USING A ROBUST MULTI-OBJECTIVE OPTIMISATION PLATFORM (RMOP)
    Lee, Dongseop
    Coma, Marti
    Espinoza, Hector
    Fruitos, Oscar
    Pons-Prats, Jordi
    COMPUTATIONAL PLASTICITY XII: FUNDAMENTALS AND APPLICATIONS, 2013, : 1246 - 1257
  • [35] Multi-Objective Generation Dispatch Using Particle Swarm Optimisation
    Rani, C.
    Kumar, M. Rajesh
    Pavan, K.
    INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONIC S, 2006, : 421 - 424
  • [36] Multi-objective pump scheduling optimisation using evolutionary strategies
    Barán, B
    von Lücken, C
    Sotelo, A
    ADVANCES IN ENGINEERING SOFTWARE, 2005, 36 (01) : 39 - 47
  • [37] Search for targets in a risky environment using multi-objective optimisation
    Angley, Daniel
    Ristic, Branko
    Moran, William
    Himed, Braham
    IET RADAR SONAR AND NAVIGATION, 2019, 13 (01): : 123 - 127
  • [38] Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms
    Petrovski, A
    McCall, J
    EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, 2001, 1993 : 531 - 545
  • [39] Optimisation of cutting parameters using a multi-objective genetic algorithm
    Solimanpur, M.
    Ranjdoostfard, F.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2009, 47 (21) : 6019 - 6036
  • [40] Multi-objective optimisation of multipass turning by using a genetic algorithm
    Quiza Sardinas, Ramon
    Albelo Mengana, Jorge E.
    Davim, J. Paulo
    INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2009, 35 (1-2): : 134 - 144