ICTACT Journal on Soft Computing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Prediction of Transmitted Wave Height of Tandem Breakwater Using PSO-SVM


Affiliations
1 Department of Applied Mechanics and Hydraulics, National Institute of Technology, Karnataka, India
     

   Subscribe/Renew Journal


Economic development of a country is directly dependent on the functioning of the ports and transportation facilities available. It is of vital importance to protect the ports and harbors and thereby providing safe and effective loading and unloading facilities. Proper protective measures like breakwaters have to be constructed to protect and maintain tranquility conditions inside the harbor. Apart from conventional rubble mound breakwater, newly developed hybrid type breakwaters are also used as protective structures. Final layout of the structure is determined only after prior physical model studies. Soft computing techniques, widely used in the field of prediction, are recently used in the field of breakwater studies for the prediction of transmitted wave height, damage analysis etc. Present work deals with the transmitted wave height prediction of a tandem breakwater using hybrid PSO-SVM model. Effectiveness of the models developed were measured using various statistical parameters such as RMSE, MAE, CC and SI. Results showed that, from among various kernels used, model developed with polynomial kernel showed better correlation.

Keywords

Tandem Breakwater, PSO-SVM, Polynomial Kernel, Soft Computing.
Subscription Login to verify subscription
User
Notifications
Font Size

  • V. Vapnik, S. Golowich and Alex Smola, “Support Vector method for Function Approximation Regression Estimation and Signal Processing”, Advance in Neural Information Processing Systems, pp. 281-287, 1996.

  • S. Gunn, “Support Vector Machines for Classification and Regression”, Technical Report, School of Electronics and Computer Science, University of Southampton, 1997.

  • Yong-Sik Cho, Jong-In Lee and Young-Taek Kim, “Experimental Study of Strong Reflection of Regular Water Waves over Submerged Breakwaters in Tandem”, Ocean Engineering, Vol. 31, No. 10, pp. 1325-1335, 2004.

  • Sukomal Mandal, Subba Rao, N. Harish and Lokesha “Damage Level Prediction of Non-Reshaped Berm Breakwater using ANN, SVM and ANFIS Models”, International Journal Naval Architecture Ocean Engineering, Vol. 4, No. 2, pp. 112-122,2012.

  • Subba Rao and Kiran G Shirlal, “Studies on tandem breakwater” R&D project, Technical Report, Ministry of Water Resources through ISH Journal of Hydraulic Engineering, pp. 36-45, 2003.

  • K.G. Shirlal and Subba Rao “Laboratory Studies on the Stability of Tandem Breakwater”, ISH Journal of Hydraulic Engineering, Vol. 9, No. 1, pp. 36-45, 2003.

  • K. G. Shirlal, Subba Rao, Venkata Ganesh and Manu, “Stability of Breakwater Defenced by a Submerged Reef”, Ocean Engineering, Vol. 33, No. 5-6, pp. 829-846, 2006.

  • Eldr Thesnaar, “Efficiency of Tandem Breakwater in Reducing Wave Heights and Damage Level: A Mossel Bay Case Study”, Master of Engineering Thesis, Stellenbosch University, 2015.

  • J. S. Jithin, “Prediction of Transmitted Wave Height and Damage Level of Tandem Breakwater using SVM”, Master of Engineering Thesis, National Institute of Technology, 2016.

  • S.G. Patil, S. Mandal and A.V. Hegde, “Genetic Algorithm based Support Vector Machine Regression in Predicting Wave Transmission of Horizontally Interlaced Multi-Layer Moored Floating Pipe Breakwater”, Advances in Engineering Software, Vol. 45, No. 1, pp. 203-212, 2012.

  • Chandrabhushan Roy, Shervin Motamedi, Roslan Hashim, Shahaboddin Shamshirb and Dalibor Petkovic, “A Comparative Study for Estimation of Wave Height using Traditional and Hybrid Soft-Computing Methods”, Environmental Earth Science, Vol. 75, pp. 590-595, 2016.

  • Iman Malekmohamadi, Mohammad Reza Bazargan-Lari, Reza Kerachian, Mohammad Reza Nikoo and Mahsa Fallahnia, “Evaluating the Efficacy of SVMs, BNs, ANNs and ANFIS in Wave Height Prediction”, Ocean Engineering, Vol. 38, No. 2-3, pp. 487-497, 2011.

  • O. Yagci, D.E. Mercan, H.K. Cigizoglu and M.S. Kabdasli, “Artificial Intelligence Methods in Breakwater Damage Ratio Estimation”, Ocean Engineering, Vol. 32, No. 17-18, pp. 2088-2106, 2005.

  • Pasquale Contestabile, Claudio Iuppa, Enrico Di Lauro, Luca Cavallaro, Thomas Lykke Andersen and Diego Vicinanz, “Wave Loadings Acting on Innovative Rubble Mound Breakwater for Overtopping Wave Energy Conversion”, Coastal Engineering, Vol. 122, pp. 60-74, 2017.

  • Aji Ali Akbar, Junun Sartohadi, Tjut Sugandawaty Djohan and Su Ritohardoyo, “The Role of Breakwaters on the Rehabilitation of Coastal and Mangrove Forests in West Kalimantan, Indonesia”, Ocean and Coastal Management, Vol. 138, pp. 50-59, 2017.

  • Dookie Kim, Dong Hyawn Kim and Seongkyu Chang, “Application of Probabilistic Neural Network to Design Breakwater Armor Blocks”, Ocean Engineering, Vol. 35, pp. 294-300, 2008.

  • Can Elmar Balas, M. Levent Koc and Rifat Tur, “Artificial Neural Networks based on Principal Component Analysis, Fuzzy Systems and Fuzzy Neural Networks for Preliminary Design of Rubble Mound Breakwaters”, Applied Ocean Research, Vol. 32, No. 4, pp. 425-433, 2010.


Abstract Views: 185

PDF Views: 2




  • Prediction of Transmitted Wave Height of Tandem Breakwater Using PSO-SVM

Abstract Views: 185  |  PDF Views: 2

Authors

S. Karthik
Department of Applied Mechanics and Hydraulics, National Institute of Technology, Karnataka, India
Subba Rao
Department of Applied Mechanics and Hydraulics, National Institute of Technology, Karnataka, India

Abstract


Economic development of a country is directly dependent on the functioning of the ports and transportation facilities available. It is of vital importance to protect the ports and harbors and thereby providing safe and effective loading and unloading facilities. Proper protective measures like breakwaters have to be constructed to protect and maintain tranquility conditions inside the harbor. Apart from conventional rubble mound breakwater, newly developed hybrid type breakwaters are also used as protective structures. Final layout of the structure is determined only after prior physical model studies. Soft computing techniques, widely used in the field of prediction, are recently used in the field of breakwater studies for the prediction of transmitted wave height, damage analysis etc. Present work deals with the transmitted wave height prediction of a tandem breakwater using hybrid PSO-SVM model. Effectiveness of the models developed were measured using various statistical parameters such as RMSE, MAE, CC and SI. Results showed that, from among various kernels used, model developed with polynomial kernel showed better correlation.

Keywords


Tandem Breakwater, PSO-SVM, Polynomial Kernel, Soft Computing.

References