Absorption in the wavemaker by Artificial neural networks (ANNs)
Journal Title: International Journal of Innovation in Engineering (IJIE) - Year 2022, Vol 2, Issue 1
Abstract
Wave-making theories are becoming available, but their applicability is limited to specific ranges of waves and wavemaker types. Machine learning can also be used to discover nonlinear functional relationships. As a result, based on machine learning, this paper proposes a simple and universal framework for generating and absorbing waves.This framework trains neural networks to determine the transfer function between the wavemaker's free-surface elevation and velocity. To increase the generalization ability of neural networks, penalty term and data augmentation techniques based on wave-making mechanisms are introduced, rather than pure data-driven.As a result, once the wavemaker has the target wave profiles in front of it, it can generate waves while also absorbing reflected waves. Analytical solutions are used to validate the simulated wave profiles and wave orbital velocities, demonstrating that the proposed framework is effective at eliminating the re-reflection wave.The validation for generating the solitary wave and the New Year's wave is then performed, indicating that the generated waves agree very well with the desired wave elevation. The proposed framework can help with wavemaker design in the future, and it does not require any complex theoretical derivation.
Authors and Affiliations
Meysam Amini,Mohammad Saeed Seif,
Keywords
Related Articles
- EP ID EP711466
- DOI -
- Views 55
- Downloads 0
Investigating Iran Housing Market Cycles and Possible Scenarios in Short-Term and Midterm Horizon Using the System Dynamics
Housing is one of the important sectors of any economy. Given the lack of risk of the value of assets decline and the possibility of great numbers investment, investment in housing is attractive for the majority of Irani...
Using Support Vector Machine For Classification And Feature Extraction Of Spam In Email
We provide an overview of recent and successful content-based e-mail spam filtering algorithms in this article. Our main focus is on spam filters based on machine learning and variants influenced by them. We report on si...
Artificial intelligence and Machine Learning for Real-world problems (A survey)
Today, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availab...
Codify a Three echelon inventory control model in terms of inflation with allowed shortage for a deterioration items
In this research initially, trying to find a model for inventory control system in a three-echelon supply chain for one-product system composed of levels of production, warehouse and seller and then will be trying to fin...
A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase
Every year, natural disasters such as earthquake, flood, hurricane and etc. impose immense financial and humane losses on governments owing to their unpredictable character and arise of emergency situations and consequen...