Now showing items 1-18 of 18

    • Adaptive neuro fuzzy inference system modeling to predict damage level of non-reshaped berm breakwater 

      Harish, N.; Mandal, S.; Rao, S.; Lokesha (Cafet Innova Technical Society, Hyderabad, 2012)
      The Adaptive Neuro Fuzzy Inference System (ANFIS) model is constructed using experimental data set to predict the damage level of berm breakwater. Experimental data for non-reshaped berm breakwater are collected from Marine ...
    • Analysis of offshore jacket platform 

      Harish, N.; Mandal, S.; Shanthala, B.; Rao, S. (NITK; Surathkal, India, 2010)
      The estimation of response parameters plays an important role in the design of offshore structure. The periodic inspection and monitoring of offshore platforms for certification needs the study of the responses of structures ...
    • Classification of tidal inlets along the Central east coast of India 

      Reddy, N.A.; Vikas, M.; Rao, S.; Jayakumar, S. (Elsevier, 2015)
      Coastal inlets are the openings along the coastline that provide a linkage between the open ocean and the hinterland water bodies. These coastal inlets are varied in nature depending on many influencing parameters such as ...
    • Classification of tidal inlets along the central west coast of India 

      Vikas, M.; Reddy, N.A.; Rao, S.; Jayakumar, S. (Elsevier, 2015)
      Tidal inlets along the Maharashtra coast on the central west coast of India were classified according to three methods available in the literature. Two classification methods viz., (i) Hydrodynamic classification (Hayes, ...
    • Dynamic loadings of deepwater spar palatform - A case study 

      Mandal, S.; Narasimhan, M.C.; Ambulgekar, P.P. (Surathkal: National Inst of Ocean Technology, 2007)
      Various wave loadings are considered separately on the deepwater Spar platform, with the wave propagation along x-axis and dynamic analyses are carried out at 1150m water depth using Newmark- beta approach The dynamic ...
    • Estimation of potential tidal energy along the west coast of India 

      Mendi, V.; Jayakumar, S.; Rao, S. (World Scientific, 2017)
      Tidal energy is one of the clean and non-depleting renewable energy sources. In contrast to other clean sources, such as wind, solar, geothermal etc., tidal energy can be predicted for years ahead. Also, the medium, seawater, ...
    • Flood estimation at ungauged catchments of western catchments of Karnataka, West coast of India 

      Reddy, N.A.; Jayakumar, S.; Rao, S.; Nagaraj, M.K. (2019)
      Many catchments in India are devoid of gauging stations. In the absence of measurements of stream flow, regional rainfall-runoff relationships developed over a hydro-meteorologically similar region may be used to estimate ...
    • Hindcasting cyclonic waves using neural networks 

      Mandal, S.; Rao, S.; Chakravarty, N.V. (KREC, Surathkal, 2002)
      Cyclone generated waves play a significant role in the design of coastal and offshore structures. Instead of conventional numerical models, neural network approach is used in the present study to estimate the wave parameters ...
    • Hindcasting of storm waves using neural networks 

      Rao, S.; Mandal, S. (Elsevier, 2005)
      Cyclone generated waves play a significant role in the design of coastal and offshore structures. Instead of conventional numerical models, neural network approach is used in the present study to estimate the wave parameters ...
    • Neural networks for estimation of ocean wave parameters 

      Mandal, S.; Rao, S.; Raju, D.H. (National Institute of Oceanography, India, 2004)
      Ocean wave parameters play a significant role in the design of all coastal and offshore structures. In the present study, neural networks are used to estimate various ocean wave parameters from theoretical Pierson-Moskowitz ...
    • Nondimensional Methods to Classify the Tidal Inlets Along the Karnataka Coastline, West Coast of India 

      Reddy, N.A.; Mendi, V.; Jayakumar, S.; Rao, S. (Springer, Singapore, 2019)
      This classification of tidal inlets is essential to maintain the stability of the inlets as well as to study the changing patterns of tidal inlets in India. Tidal inlets around the world have been classified as either ...
    • Parameter optimization using GA in SVM to predict damage level of non-reshaped berm breakwater. 

      Harish, N.; Lokesha.; Mandal, S.; Rao, S.; Patil, S.G. (Multi-Science Publishing Company, 2014)
      In the present study, Support Vector Machines (SVM) and hybrid of Genetic Algorithm (GA) with SVM models are developed to predict the damage level of non-reshaped berm breakwaters. Optimal kernel parameters of SVM are ...
    • Particle swarm optimization based support vector machine for damage level prediction of non-reshaped berm breakwater 

      Harish, N.; Mandal, S.; Rao, S.; Patil, S.G. (Elsevier, 2015)
      The damage analysis of coastal structure is very much essential for better and safe design of the structure. In the past, several researchers have carried out physical model studies on non-reshaped berm breakwaters, but ...
    • Seasonal dynamics of adjoining tidal coastal inlet on east coast of India ­measurements and modelling 

      Jayakumar, S.; Reddy, N.A.; Ramanamurty, M.V.; ManiMurali, R.; ArunaKumar, A.; Rao, S. (IAHR-AIRH, 2014)
      The opening and closure of coastal tidal inlets play a major role in regulating the water and sediment exchange between the river and ocean as well as in the interruption of the longshore sediment transport. The present ...
    • Stability analysis of rubblemound breakwater using ANN 

      Mandal, S.; Rao, S.; Manjunath, Y.R.; Kim, D.H. (National Institute of Technology, Surathkal, 2007)
      The stability analysis of coastal structure is very important because it involves many design parameters to be considered for the safe and economical design of structure. In the present study neural network technique is ...
    • Stability prediction of berm breakwater using neural network 

      Mandal, S.; Rao, S.; Manjunath, Y.R. (Dubai Municipality, 2008)
      In the present study, an artificial neural network method has been applied to predict the stability of berm breakwaters. Four neural network models are constructed based on the parameters which influence the stability of ...
    • Tidal Energy Estimation of Potential Tidal Inlets Along the East Coast of India 

      Mendi, V.; Reddy, N.A.; Jayakumar, S.; Rao, S. (Springer, Singapore, 2019)
      The power consumption is increasing with modernization of infrastructure and with the depleting fossil fuels. The need to look for alternate sources of energy generation has already reached a peak. The production of power ...
    • Wave forecasting in near real time basis by neural network 

      Rao, S.; Mandal, S.; Prabaharan, N. (Allied, Chennai, 2001)
      In modern age, the human settlements and activities are very much increasing near the oceanfront. In order to cope up with the need such as construction of jetties, harbours, offshore berths, offshore platforms, navigation ...