1 |
Valipour, M., Banihabib, M.E., Behbahani, S.M.R., 2013. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir. J. Hydrol. 476, 433-441. http://dx.doi.org/10.1016/j.jhydrol.2012.11.017.
DOI
|
2 |
Valipour, M., Montazar, A., 2012a. An evaluation of SWDC and WinSRFR models to optimize of infiltration parameters in furrow irrigation. Am. J. Sci. Res. 69, 128-142.
|
3 |
Valipour, M., Montazar, A.A., 2012b. Optimize of all effective infiltration parameters in furrow irrigation using visual basic and genetic algorithm programming. Aust. J. Basic Appl. Sci. 6, 132-137.
|
4 |
Valipour, M., Montazar, A.A., 2012c. Sensitive analysis of optimized infiltration parameters in SWDC model. Adv. Environ. Biol. 6, 2574-2581.
|
5 |
Wang, D., Bai, J.Q., Hua, J., Sun, Z.W., Qiao, L., 2014. Aerodynamic shape optimization design of the swept wing based on the kriging surrogate model. Appl. Mech. Mater. 444, 1277-1282.
|
6 |
Webster, M., Gato, L.M.C., 2001. The effect of rotor blade shape on the performance of the Wells turbine. Int. J. Offshore Polar Eng. 11, 227-230. http://dx.doi.org/10.1016/S0960-1481(00)00163-4.
DOI
|
7 |
Webster, M., Gato, L.M.C., 1999a. The effect of rotor blade sweep on the performance of the Wells turbine. Int. J. Offshore Polar Eng. 9, 233-240. http://dx.doi.org/10.1016/S0960-1481(00)00163-4.
DOI
|
8 |
Webster, M., Gato, L.M.C., 1999b. The effect of rotor blade shape on the performance of the Wells turbine. In: Proceedings of the Ninth (1999) International Offshore and Polar Engineering Conference. Brest, France, May 30-June 4, 1999, pp. 169-173. http://dx.doi.org/10.1016/S0960-1481(00)00163-4.
DOI
|
9 |
Badhurshah, R., Samad, A., 2015. Multiple surrogate based optimization of a bidirectional impulse turbine for wave energy conversion. Renew. Energy 74, 749-760. http://dx.doi.org/10.1016/j.renene.2014.09.001.
DOI
|
10 |
Ansys CFX, 2010. Release 11.0: Ansys CFX-solver Theory Guide. ANSYS.
|
11 |
Bellary, S.A.I., Husain, A., Samad, A., 2014. Effectiveness of meta-models for multi-objective optimization of centrifugal impeller. J. Mech. Sci. Technol. 28, 4947-4957.
DOI
|
12 |
Benini, E., Biollo, R., 2007. Aerodynamics of swept and leaned transonic compressor-rotors. Appl. Energy 84, 1012-1027. http://dx.doi.org/10.1016/j.apenergy.2007.03.003.
DOI
|
13 |
Brito-Melo, A., Gato, L.M.C., Sarmento, A.J.N.A., 2002. Analysis of Wells turbine design parameters by numerical simulation of the OWC performance. Ocean. Eng. 29, 1463-1477. http://dx.doi.org/10.1016/S0029-8018(01)00099-3.
DOI
|
14 |
Gato, L.M.C.,Webster, M., 2001. An experimental investigation into the effect of rotor blade sweep on the performance of the variable-pitch Wells turbine. Proc. Inst. Mech. Eng. Part A J. Power Energy 215, 611-622. http://dx.doi.org/10.1243/0957650011538848.
DOI
|
15 |
Collette, Y., Siarry, P., 2003. Multiobjective optimization: principles and case studies. Decision Engineering. Springer Science & Business Media. http://dx.doi.org/10.1007/978-3-662-08883-8.
DOI
|
16 |
Curran, R., Gato, L.M.C., 1997. The energy conversion performance of several types of Wells turbine designs. Proc. Inst. Mech. Eng. Part A J. Power Energy 211, 133-145. http://dx.doi.org/10.1243/0957650971537051.
DOI
|
17 |
Deb, K., 2001. Multi-objective Optimization Using Evolutionary Algorithms. John Wiley & Sons.
|
18 |
Goel, T., Haftka, R.T., Shyy, W., Queipo, N.V., 2007. Ensemble of surrogates. Struct. Multidiscip. Optim. 33, 199-216. http://dx.doi.org/10.1007/s00158-006-0051-9.
DOI
|
19 |
Gorissen, D., Couckuyt, I., Laermans, E., Dhaene, T., 2010. Multiobjective global surrogate modeling, dealing with the 5-percent problem. Eng. Comput. 26, 81-98. http://dx.doi.org/10.1007/s00366-009-0138-1.
DOI
|
20 |
Halder, P., Samad, A., Kim, J.H., Choi, Y.S., 2015. High performance ocean energy harvesting turbine design-a new casing treatment scheme. Energy 86, 219-231. http://dx.doi.org/10.1016/j.energy.2015.03.131.
DOI
|
21 |
Jeong, S., Murayama, M., Yamamoto, K., 2005. Efficient optimization design method using kriging model. J. Aircr. 42, 413-420. http://dx.doi.org/10.2514/1.C10485E.
DOI
|
22 |
Kim, T., Setoguchi, T., Kinoue, Y., Kaneko, K., 2001. Effects of blade geometry on performance of wells turbine for wave power conversion. J. Therm. Sci. 10, 293-300. http://dx.doi.org/10.1007/s11630-001-0035-4.
DOI
|
23 |
Matrices, S., 2012. The Language of Technical Computing. MathWorks, Inc., pp. 4-9. http//www.mathworks.com
|
24 |
Kim, T.H., Setoguchi, T., Kaneko, K., Raghunathan, S., 2002. Numerical investigation on the effect of blade sweep on the performance of Wells turbine. Renew. Energy. http://dx.doi.org/10.1016/S0960-1481(00)00210-X.
DOI
|
25 |
Marjavaara, D.B., Lundstr€om, S.T., Goel, T., Mack, Y., Shyy, W., 2007. Hydraulic turbine diffuser shape optimization by multiple surrogate model approximations of pareto fronts. J. Fluids Eng. 129, 1228. http://dx.doi.org/10.1115/1.2754324.
DOI
|
26 |
Martin, J.D., Simpson, T.W., 2005. Use of kriging models to approximate deterministic computer models. AIAA J. 43, 853-863. http://dx.doi.org/10.2514/1.8650.
DOI
|
27 |
Mohamed, M.H., Janiga, G., Pap, E., Thevenin, D., 2011. Multi-objective optimization of the airfoil shape of Wells turbine used for wave energy conversion. Energy 36, 438-446. http://dx.doi.org/10.1016/j.energy.2010.10.021.
DOI
|
28 |
Mohamed, M.H., Shaaban, S., 2013. Optimization of blade pitch angle of an axial turbine used for wave energy conversion. Energy 56, 229-239. http://dx.doi.org/10.1016/j.energy.2013.04.035.
DOI
|
29 |
Mohamed, H.M., Shaaban, S., 2014. Numerical optimization of axial turbine with self-pitch- controlled blades used for wave energy conversion. Int. J. Energy Res. 38, 592-601. http://dx.doi.org/10.1002/er.
DOI
|
30 |
Myers, R.H., Montgomery, D.C., 1995. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. Wiley. John Wiley & Sons, New York. http://dx.doi.org/10.1016/S0378-3758(97)81631-X.
DOI
|
31 |
Orr, M.J.L., 1996. Introduction to Radial Basis Function Networks.
|
32 |
Samad, A., Kim, K.Y., 2008. Shape optimization of an axial compressor blade by multi-objective genetic algorithm. Proc. Inst. Mech. Eng. Part A J. Power Energy 222, 599-611. http://dx.doi.org/10.1243/09576509JPE596.
DOI
|
33 |
Raghunathan, S., 1995. The Wells air turbine for wave energy conversion. Prog. Aerosp. Sci. 31, 335-386. http://dx.doi.org/10.1016/0376-0421(95)00001-F.
DOI
|
34 |
Raghunathan, S., Tan, C.P., 1985. Effect of blade profile on the performance of the Wells self-rectifying air turbine. Int. J. Heat. Fluid Flow. 6, 369-379. http://dx.doi.org/10.1016/0142-727X(85)90026-8.
DOI
|
35 |
Sacks, J., Welch, W.J., Mitchell, T.J., Wynn, H.P., 2012. Design and analysis of computer experiments. Stat. Sci. 4, 409-423. http://dx.doi.org/10.1214/ss/1177012413.
DOI
|
36 |
Samad, A., Kim, K.Y., Goel, T., Haftka, R.T., Shyy, W., 2008. Multiple surrogate modeling for axial compressor blade shape optimization. J. Propuls. Power 24, 301-310. http://dx.doi.org/10.2514/1.28999.
DOI
|
37 |
Suzuki, M., Arakawa, C., 2008. Influence of blade profiles on flow around Wells turbine. Int. J. Fluid Mach. Syst. 1, 148-154. http://dx.doi.org/10.5293/IJFMS, 1.1.148.
DOI
|
38 |
Taha, Z., Sugiyono, Sawada, T., 2010. A comparison of computational and experimental results of Wells turbine performance for wave energy conversion. Appl. Ocean. Res. 32, 83-90. http://dx.doi.org/10.1016/j.apor.2010.04.002.
DOI
|
39 |
Takao, M., Setoguchi, T., Kinoue, Y., Kaneko, K., 2007. Wells turbine with end plates for wave energy conversion. Ocean. Eng. 34, 1790-1795. http://dx.doi.org/10.1016/j.oceaneng.2006.10.009.
DOI
|
40 |
Takao, M., Thakker, A., Abdulhadi, R., Setoguchi, T., 2006. Effect of blade profile on the performance of a large-scale Wells turbine for wave-energy conversion. Int. J. Sustain. Energy 25, 53-61. http://dx.doi.org/10.1080/14786450600593295.
DOI
|
41 |
Thakker, A., Abdulhadi, R., 2007. Effect of blade profile on the performance of Wells turbine under unidirectional sinusoidal and real sea flow conditions. Int. J. Rotat. Mach. 2007 http://dx.doi.org/10.1155/2007/51598.
DOI
|
42 |
Torresi, M., Camporeale, S.M., Pascazio, G., Fortunato, B., 2004. Fluid Dynamic Analysis of a Low Solidity Wells Turbine. In: 59 Congresso ATI, Genova, Italy.
|
43 |
Torresi, M., Camporeale, S.M., Strippoli, P.D., Pascazio, G., 2008. Accurate numerical simulation of a high solidity Wells turbine. Renew. Energy 33, 735-747. http://dx.doi.org/10.1016/j.renene.2007.04.006.
DOI
|
44 |
Valipour, M., Banihabib, E., Behbahani, R., 2012. Monthly inflow forecasting using autoregressive artificial neural network. J. Appl. Sci. 12, 2139-2147.
DOI
|
45 |
Simpson, T.W., Mauery, T.M., Korte, J., Mistree, F., 2001. Kriging models for global approximation in simulation-based multidisciplinary design optimization. AIAA J. 39, 2233-2241. http://dx.doi.org/10.2514/3.15017.
DOI
|