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Year 2017, , 106 - 114, 27.12.2017
https://doi.org/10.24107/ijeas.368922

Abstract

References

  • Berbic, J., Ocvirk, E., Carevic, D., Loncar, G., Application of neural networks and support vector machine for significant wave height prediction. Oceanologia, 59(3), 331-349, 2017.
  • Cornejo-Bueno, L., Borge, J.C.N., Alexandre, E., Hessner, K., Salcedo-Sanz, S., Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images. Coastal Engineering, 114, 233-243, 2016.
  • Cornejo-Bueno, L., Nieto-Borge, J.C., Garcia-Diaz, P., Rodriguez, G., Salcedo-Sanz, S., Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach. Renewable Energy, 97, 380-389, 2016.
  • Orimolade, A.P., Haver, S., Gudmestad, O.T., Estimation of extreme significant wave heights and the associated uncertainties: A case study using NORA10 hindcast data for the Barents Sea. Marine Structures, 49, 1-17, 2016.
  • Shukla, R.P., Kinter, J.L., Subseasonal Prediction of Significant Wave Heights over the Western Pacific and Indian Ocean Region. Weather and Forecasting, 31(6), 1733-1751, 2016.
  • Tür, R., Belirgin Dalga Yüksekliğinin (Significant Wave Height=Hs) Bulanık Sinir Ağları (ANFIS) ile Tahmini. The Journal of Graduate School of Natural and Applied Sciences of Mehmet Akif Ersoy University 7(2), 175-183, 2016.
  • Yu, T.T., Xie, W.S., Zhang, S.O., Improved algorithm for estimation of significant wave height from X-band radar image sequences. Journal of Applied Remote Sensing, 10, 2016.
  • Zhang, S., Song, Z.J., Lie, Y., An advanced inversion algorithm for significant wave height estimation based on random field. Ocean Engineering, 127, 298-304, 2016.
  • Altunkaynak, A., Prediction of significant wave height using spatial function. Ocean Engineering, 106, 220-226, 2015.
  • Duan, W.Y., Han, Y., Huang, L.M., Zhao, B.B., Wang, M.H., A hybrid EMD-SVR model for the short-term prediction of significant wave height. Ocean Engineering, 124, 54-73, 2016.
  • Elbisy, M.S., Sea Wave Parameters Prediction by Support Vector Machine Using a Genetic Algorithm. Journal of Coastal Research, 314, 892-899, 2015.
  • Hashim, R., Roy, C., Motamedi, S., Shamshirband, S., Petković, D., Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology. Renewable and Sustainable Energy Reviews, 60, 246-257, 2016.
  • Mahjoobi, J., Etemad-Shahidi, A., An alternative approach for the prediction of significant wave heights based on classification and regression trees. Applied Ocean Research, 30(3), 172-177, 2008.
  • Rusu, E., Raileanu, A., A multi-parameter data-assimilation approach for wave prediction in coastal areas. Journal of Operational Oceanography, 9(1), 13-25, 2016.
  • Wang, Y.-g., Prediction of height and period joint distributions for stochastic ocean waves. China Ocean Engineering, 31(3), 291-298, 2017.
  • Etemad-Shahidi, A., Kzeminezhad, M.H., Mousavi, S.J. On The Prediction of Wave Parameters Using Simplified Methods.Journal of Coastal Research, Portugal, 2009.
  • Akpınar, A., Özger, M., Kömürcü, M.İ., Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea. Journal of Marine Science and Technology, 19(1), 1-14, 2014.
  • Akpinar, A., Özger, M., Bekiroglu, S., Komurcu, M.I., Performance Evaluation of Parametric Models in The Hindcasting of Wave Parameters Along The South Coast of Black Sea. Indian Journa og Geo-MArine Sciences, 43(6), 905-920, 2014.
  • Dubey, R.P., Das, B., Long Term Ocean Wave Forecasting Along Indian Coast Journal of Indian Water Resources Society, 33(2), 24-29, 2013.
  • Balas, L., Numanoğlu Genç, A., İnan, A., Liman yapılarının tasarımı için dalga tahmini. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 5(2), 2013.
  • Yüksel, Y., Özkan Çevik, E., Kıyı Mühendisliği, 1 ed, Deniz Mühendisliği Serisi - No12009, İstanbul; Beta basım yayım,2009.
  • Shore Protectin Manual (SPM)1984, U. S. Army Corps of Engineers, Washington, DC: U.S. Army Engineer Waterways Experiment Station, U.S.; U. S. Government Printing Office,1984.
  • Coastal Engineering Manual. U. S. Army Corps of Engineers, U.S., 2006.
  • Janssen, P., The Wave Model. Meteorological Training Course Lecture Series, 2003.
  • The WAMDI Group, The WAM Model - A third Generation Ocean Wave Prediction Model. Journal of Physical Oceanography, 18, 1775-1810, 1988.
  • Özhan, E., Abdalla S., Türkiye kıyıları rüzgar ve derin deniz dalga atlası, MEDCOAST, METU, 445,2002.

Prediction of Significant Wave Height along Konyaaltı Coast

Year 2017, , 106 - 114, 27.12.2017
https://doi.org/10.24107/ijeas.368922

Abstract

Glass fiber reinforced concrete (GFRC) is a cementitious composite
reinforced by the addition of alkali-resistant glass fibers. GFRC is widely
used for various types of precast products in civil engineering industries.
GRFC mixes generally include silica sand to produce precast concrete elements;
however, silica sand was replaced with barite sand at the ratios of 5%, 10 %
and 15 % of wt. in order to reveal its applicability and potential for
different engineering purposes. The flexural strength and the freeze-thaw(F&T)
resistance of the composites were studied. The experimental results showed that
the replacement of silica sand with barite sand up to 15 % of wt. enhances the
mechanical properties of the composites in respect to flexural strength and
F&T resistance properties.

References

  • Berbic, J., Ocvirk, E., Carevic, D., Loncar, G., Application of neural networks and support vector machine for significant wave height prediction. Oceanologia, 59(3), 331-349, 2017.
  • Cornejo-Bueno, L., Borge, J.C.N., Alexandre, E., Hessner, K., Salcedo-Sanz, S., Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images. Coastal Engineering, 114, 233-243, 2016.
  • Cornejo-Bueno, L., Nieto-Borge, J.C., Garcia-Diaz, P., Rodriguez, G., Salcedo-Sanz, S., Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach. Renewable Energy, 97, 380-389, 2016.
  • Orimolade, A.P., Haver, S., Gudmestad, O.T., Estimation of extreme significant wave heights and the associated uncertainties: A case study using NORA10 hindcast data for the Barents Sea. Marine Structures, 49, 1-17, 2016.
  • Shukla, R.P., Kinter, J.L., Subseasonal Prediction of Significant Wave Heights over the Western Pacific and Indian Ocean Region. Weather and Forecasting, 31(6), 1733-1751, 2016.
  • Tür, R., Belirgin Dalga Yüksekliğinin (Significant Wave Height=Hs) Bulanık Sinir Ağları (ANFIS) ile Tahmini. The Journal of Graduate School of Natural and Applied Sciences of Mehmet Akif Ersoy University 7(2), 175-183, 2016.
  • Yu, T.T., Xie, W.S., Zhang, S.O., Improved algorithm for estimation of significant wave height from X-band radar image sequences. Journal of Applied Remote Sensing, 10, 2016.
  • Zhang, S., Song, Z.J., Lie, Y., An advanced inversion algorithm for significant wave height estimation based on random field. Ocean Engineering, 127, 298-304, 2016.
  • Altunkaynak, A., Prediction of significant wave height using spatial function. Ocean Engineering, 106, 220-226, 2015.
  • Duan, W.Y., Han, Y., Huang, L.M., Zhao, B.B., Wang, M.H., A hybrid EMD-SVR model for the short-term prediction of significant wave height. Ocean Engineering, 124, 54-73, 2016.
  • Elbisy, M.S., Sea Wave Parameters Prediction by Support Vector Machine Using a Genetic Algorithm. Journal of Coastal Research, 314, 892-899, 2015.
  • Hashim, R., Roy, C., Motamedi, S., Shamshirband, S., Petković, D., Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology. Renewable and Sustainable Energy Reviews, 60, 246-257, 2016.
  • Mahjoobi, J., Etemad-Shahidi, A., An alternative approach for the prediction of significant wave heights based on classification and regression trees. Applied Ocean Research, 30(3), 172-177, 2008.
  • Rusu, E., Raileanu, A., A multi-parameter data-assimilation approach for wave prediction in coastal areas. Journal of Operational Oceanography, 9(1), 13-25, 2016.
  • Wang, Y.-g., Prediction of height and period joint distributions for stochastic ocean waves. China Ocean Engineering, 31(3), 291-298, 2017.
  • Etemad-Shahidi, A., Kzeminezhad, M.H., Mousavi, S.J. On The Prediction of Wave Parameters Using Simplified Methods.Journal of Coastal Research, Portugal, 2009.
  • Akpınar, A., Özger, M., Kömürcü, M.İ., Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea. Journal of Marine Science and Technology, 19(1), 1-14, 2014.
  • Akpinar, A., Özger, M., Bekiroglu, S., Komurcu, M.I., Performance Evaluation of Parametric Models in The Hindcasting of Wave Parameters Along The South Coast of Black Sea. Indian Journa og Geo-MArine Sciences, 43(6), 905-920, 2014.
  • Dubey, R.P., Das, B., Long Term Ocean Wave Forecasting Along Indian Coast Journal of Indian Water Resources Society, 33(2), 24-29, 2013.
  • Balas, L., Numanoğlu Genç, A., İnan, A., Liman yapılarının tasarımı için dalga tahmini. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 5(2), 2013.
  • Yüksel, Y., Özkan Çevik, E., Kıyı Mühendisliği, 1 ed, Deniz Mühendisliği Serisi - No12009, İstanbul; Beta basım yayım,2009.
  • Shore Protectin Manual (SPM)1984, U. S. Army Corps of Engineers, Washington, DC: U.S. Army Engineer Waterways Experiment Station, U.S.; U. S. Government Printing Office,1984.
  • Coastal Engineering Manual. U. S. Army Corps of Engineers, U.S., 2006.
  • Janssen, P., The Wave Model. Meteorological Training Course Lecture Series, 2003.
  • The WAMDI Group, The WAM Model - A third Generation Ocean Wave Prediction Model. Journal of Physical Oceanography, 18, 1775-1810, 1988.
  • Özhan, E., Abdalla S., Türkiye kıyıları rüzgar ve derin deniz dalga atlası, MEDCOAST, METU, 445,2002.
There are 26 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Rifat Tur This is me

Dilayda Soylu Pekpostalci

Özen Arlı Küçükosmanoğlu

Alp Küçükosmanoğlu

Publication Date December 27, 2017
Acceptance Date December 21, 2017
Published in Issue Year 2017

Cite

APA Tur, R., Soylu Pekpostalci, D., Arlı Küçükosmanoğlu, Ö., Küçükosmanoğlu, A. (2017). Prediction of Significant Wave Height along Konyaaltı Coast. International Journal of Engineering and Applied Sciences, 9(4), 106-114. https://doi.org/10.24107/ijeas.368922
AMA Tur R, Soylu Pekpostalci D, Arlı Küçükosmanoğlu Ö, Küçükosmanoğlu A. Prediction of Significant Wave Height along Konyaaltı Coast. IJEAS. December 2017;9(4):106-114. doi:10.24107/ijeas.368922
Chicago Tur, Rifat, Dilayda Soylu Pekpostalci, Özen Arlı Küçükosmanoğlu, and Alp Küçükosmanoğlu. “Prediction of Significant Wave Height Along Konyaaltı Coast”. International Journal of Engineering and Applied Sciences 9, no. 4 (December 2017): 106-14. https://doi.org/10.24107/ijeas.368922.
EndNote Tur R, Soylu Pekpostalci D, Arlı Küçükosmanoğlu Ö, Küçükosmanoğlu A (December 1, 2017) Prediction of Significant Wave Height along Konyaaltı Coast. International Journal of Engineering and Applied Sciences 9 4 106–114.
IEEE R. Tur, D. Soylu Pekpostalci, Ö. Arlı Küçükosmanoğlu, and A. Küçükosmanoğlu, “Prediction of Significant Wave Height along Konyaaltı Coast”, IJEAS, vol. 9, no. 4, pp. 106–114, 2017, doi: 10.24107/ijeas.368922.
ISNAD Tur, Rifat et al. “Prediction of Significant Wave Height Along Konyaaltı Coast”. International Journal of Engineering and Applied Sciences 9/4 (December 2017), 106-114. https://doi.org/10.24107/ijeas.368922.
JAMA Tur R, Soylu Pekpostalci D, Arlı Küçükosmanoğlu Ö, Küçükosmanoğlu A. Prediction of Significant Wave Height along Konyaaltı Coast. IJEAS. 2017;9:106–114.
MLA Tur, Rifat et al. “Prediction of Significant Wave Height Along Konyaaltı Coast”. International Journal of Engineering and Applied Sciences, vol. 9, no. 4, 2017, pp. 106-14, doi:10.24107/ijeas.368922.
Vancouver Tur R, Soylu Pekpostalci D, Arlı Küçükosmanoğlu Ö, Küçükosmanoğlu A. Prediction of Significant Wave Height along Konyaaltı Coast. IJEAS. 2017;9(4):106-14.

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