Prediction of Significant Wave Height along Konyaaltı Coast
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.
Keywords
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.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 27, 2017
Submission Date
December 20, 2017
Acceptance Date
December 21, 2017
Published in Issue
Year 2017 Volume: 9 Number: 4
Cited By
KARATAŞ, ADANA DENİZEL ALANI İÇİN KARŞILAŞTIRMALI UZUN DÖNEM DALGA ÇÖZÜMLEMESİ ÇALIŞMASI
Uludağ University Journal of The Faculty of Engineering
https://doi.org/10.17482/uumfd.326910The Potential of Conversion of Sea Wave Energy to Electric Energy: The Performance of Central Sulawesi West Sea using Oscillating Water Column Technology
IOP Conference Series: Earth and Environmental Science
https://doi.org/10.1088/1755-1315/926/1/012073Prediction of Coastal Wave Height using Hybrid-Wavelet Methods of Artificial Intelligence (Case study: Amirabad Port of the Caspian Sea)
journal of watershed management research
https://doi.org/10.52547/jwmr.12.24.273Advance in Significant Wave Height Prediction: A Comprehensive Survey
Complex System Modeling and Simulation
https://doi.org/10.23919/CSMS.2024.0019