@article{scholars11428,
          volume = {33},
            note = {cited By 15},
          number = {4},
             doi = {10.1007/s13344-019-0037-1},
           title = {Mooring System Optimisation and Effect of Different Line Design Variables on Motions of Truss Spar Platforms in Intact and Damaged Conditions},
            year = {2019},
       publisher = {Springer Verlag},
         journal = {China Ocean Engineering},
           pages = {385--397},
        abstract = {This paper presents the effect of mooring diameters, fairlead slopes and pretensions on the dynamic responses of a truss spar platform in intact and damaged line conditions. The platform is modelled as a rigid body with three degrees-of-freedom and its motions are analysed in time-domain using the implicit Newmark Beta technique. The mooring restoring force-excursion relationship is evaluated using quasi-static approach. MATLAB codes DATSpar and QSAML, are developed to compute the dynamic responses of truss spar platform and to determine the mooring system stiffness. To eliminate the conventional trial and error approach in the mooring system design, a numerical tool is also developed and described in this paper for optimising the mooring configuration. It has a graphical user interface and includes regrouping particle swarm optimisation technique combined with DATSpar and QSAML. A case study of truss spar platform with ten mooring lines is analysed using this numerical tool. The results show that optimum mooring system design benefits the oil and gas industry to economise the project cost in terms of material, weight, structural load onto the platform as well as manpower requirements. This tool is useful especially for the preliminary design of truss spar platforms and its mooring system. {\^A}{\copyright} 2019, Chinese Ocean Engineering Society and Springer-Verlag GmbH Germany, part of Springer Nature.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068762315&doi=10.1007\%2fs13344-019-0037-1&partnerID=40&md5=5052536143bccfc0ab0f065190bc808b},
        keywords = {Degrees of freedom (mechanics); Dynamic response; Gas industry; Graphical user interfaces; Mooring; Mooring cables; Offshore oil wells; Oil field equipment; Particle swarm optimization (PSO); Systems analysis; Time domain analysis; Trusses, Morison equation; Newmark; Optimisations; Particle swarm; Quasi-static, Spar platforms},
          author = {Montasir, O. A. and Yenduri, A. and Kurian, V. J.},
            issn = {08905487}
}