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G. Manoj Kumar

Bio: G. Manoj Kumar is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Time domain & Undular bore. The author has an hindex of 2, co-authored 4 publications receiving 13 citations.

Papers
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Journal ArticleDOI
TL;DR: Sriram et al. as mentioned in this paper used the strong coupling between the fully nonlinear potential flow theory (FNPT) at the far field and Navier-Stokes (NS) equations in the nearshore.

10 citations

Journal ArticleDOI
TL;DR: The hybrid scheme developed in the time domain to address the wave breaking impact on the structure is a reliable, robust, and efficient alternative for simulating fluid–structure interaction problems.

7 citations

Journal ArticleDOI
TL;DR: In this article, the results of the study on the wave propagation and breaking of solitons and N-waves in fresh water and brine are reported, and the experiments were performed in the twin flume facility at the Franzius Institute, Leibniz University of Hannover.
Abstract: In this paper, the results of the study on the wave propagation and breaking of solitons and N-waves in fresh water and brine are reported. The experiments were performed in the twin flume facility at the Franzius Institute, Leibniz University of Hannover. Brine from Dead Sea was used for the study. The objective of the experimental study was to determine the flood safety levels along the banks of the Dead Sea and to arrive at the empirical equations for run-up. A weakly coupled numerical model based on the fully nonlinear potential flow and Navier–Stokes equation was used to validate the experimental results. The proposed numerical model is in good agreement with the present experimental results and the available analytical solutions for run-up estimation. The breaking N-waves were found to have a reduced run-up when compared to breaking solitons. The paper shows that the long wave propagation and run-up in both brine and water has similar characteristics.

3 citations


Cited by
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Journal ArticleDOI
TL;DR: A concise review on latest advances related to development of entirely Lagrangian meshfree computational methods for hydroelastic fluid-structure interactions (FSI) in ocean engineering and highlights several corresponding key issues.

54 citations

Journal ArticleDOI
TL;DR: In this article, the coupling strategy of an improved particle hydrodynamics (SPH) method and smoothed finite element method (SFEM) is integrated with advanced fluid modeling techniques, and is extended and validated for modeling liquid sloshing with rigid or deformable structures.

24 citations

Posted ContentDOI
TL;DR: The results show that as a dynamic neural network, NARX neural network modular prediction model is more suitable for the analysis and prediction of time series data and has better stability and accuracy.
Abstract: Tide variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. To improve the accuracy of tide prediction, a modular tide level prediction model (HA-NARX) is proposed. This model divides tide data into two parts: astronomical tide data affected by celestial tide-generating forces and nonastronomical tide data affected by various environmental factors. Final tide prediction results are obtained using a nonlinear autoregressive exogenous model (NARX) neural network combined with harmonic analysis (HA) data. To verify the feasibility of the model, tide data under different climatic and geographical conditions are used to simulate the prediction of tide levels, and the results are compared with those of traditional HA, the genetic algorithm-back propagation (GA-BP) neural network and the wavelet neural network (WNN). The results show that the greater the influence of meteorological factors on tides, the more obvious is the improvement in accuracy and stability of HA-NARX prediction results compared to traditional models, with the highest prediction accuracy improvement of 234%. The proposed model not only has a simple structure but can also effectively improve the stability and accuracy of tide prediction.

12 citations

Journal ArticleDOI
TL;DR: In this article, a simplified semi-analytical method is proposed based on conservation of mass and momentum to estimate the force on the rectangular structures, which can reasonably predict experimental force-time history.

12 citations