1. Andreau C., Ferdi F., Ville R. et al.: A method for determination of elastohydrodynamic behavior of line shafting bearings in their environment. In Proceedings of ASME/STLE International Joint Tribology Conference, San Diego, 2007. DOI:10.1115/IJTC2007-44056.10.1115/IJTC2007-44056
2. Batrak Y.: New CAE package for propulsion train calculations. International conference on computer applications in shipbuilding, 3, Vol. 2., (2009). pp. 187–192.10.3940/rina.iccas.2009.47
3. Batrak Y. A., Shestopal V. P., Batrak R. Y.: Propeller hydrodynamic loads in relation to propulsion shaft alignment and vibration calculations. Proceedings of the Propellers/Shafting Symposium., 2012.10.5957/PSS-2012-010
4. Byrd R. H., Hribar M.E., Nocedal J.: An interior point algorithm for large-scale nonlinear programming. SIAM J Optimization, 9(4), (1999), pp. 877–900. DOI:10.1137/S1052623497325107.10.1137/S1052623497325107
8. Hutchinson J. R.: Shear coefficients for Timoshenko beam theory. Journal of Applied Mechanics, 68(1), (2001), pp. 87-92. coefficientsfortimoshenkobeamtheory.10.1115/1.1349417
9. Kennedy J., Eberhart R.: Particle swarm optimization. Proceedings of ICNN’95 - International Conference on Neural Networks, Vol 4, (1995), pp. 1942–1948. DOI:10.1109/ICNN.1995.488968.10.1109/ICNN.1995.488968
11. Litwin W.: Influence of main design parameters of ship propeller shaft water-lubricated bearings on their properties. Polish Maritime Research, 4(67), Vol 17, (2010), pp. 39–45.10.2478/v10012-010-0034-z
13. Poli R.: Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications, 2008. DOI:10.1155/2008/685175.10.1155/2008/685175
18. Shi Y., Eberhart R. A.: Modified particle swarm optimizer. 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 1998, pp. 69–73. DOI:10.1109/ICEC.1998.699146.10.1109/ICEC.1998.699146
21. Waltz R., Morales J., Nocedal J. et al.: An interior algorithm for nonlinear optimization that combines line search and trust region steps. Mathematical Programming, 107(3), (2006), pp. 391–408. DOI:10.1007/s10107-004-0560-5.10.1007/s10107-004-0560-5
22. Wright M. H.: The interior-point revolution in optimization: history, recent developments, and lasting consequences. Bulletin of the American Mathematical Society, 42, (2005), pp. 39–56.10.1090/S0273-0979-04-01040-7
23. Xie Z., Rao Z., Ta N. et al.: Investigations on transitions of lubrication states for water lubricated bearing. Part I: determination of friction coefficients and film thickness ratios. 68(3), (2016), pp. 404–415. DOI: 10.1108/ILT-10-2015-014610.1108/ILT-10-2015-0146
24. Xie Z., Rao Z., Ta N. et al.: Investigations on transitions of lubrication states for water lubricated bearing. Part II: further insight into the film thickness ratio lambda. Industrial Lubrication and Tribology, 68(3), (2016), pp. 416–429. DOI: 10.1108/ILT-10-2015-014710.1108/ILT-10-2015-0147
25. Xing H., Wu Q., Wu Z. et al.: Elastohydrodynamic lubrication analysis of marine sterntube bearing based on multi-body dynamics. In 2012 International Conference on Future Energy, Environment, and Materials, 2012, pp. 1046–1051. DOI:10.1016/j.egypro.2012.01.167.10.1016/j.egypro.2012.01.167