September 23, 2024-Mirjam Furth, TAMU
September 23, 2024
4:00 p.m.
Room: Torgersen Hall 2150
Speaker: Mirjam Furth, TAMU
Faculty Host: Dr. Christine Gilbert
"Experiments and Simulations to Facilitate Data-driven and Machine Learning Hydrodynamic Models"
Abstract: High Speed Craft (HSC) is a vessel class characterized by its ability to reach high speeds through planing. The performance of HSC is determined by their resistance, running position, acceleration in waves, ability to handle hull slamming pressure, maneuverability, and operability. These are governed by hydrodynamic phenomena that are not trivial to predict due to their dynamic nature. With the progression of data science and analytics, Machine Learning (ML) and Artificial Intelligence (AI) are becoming essential elements in the design and operation of naval craft, paving the way for innovations in marine vehicle design and operation. The success of the development of this machine learning technique for predicting the performance of High-Speed Crafts relies on access to high quality accurate data.
This talk will focus on the numerical and experimental datasets required to develop and train a physics-informed ML model. While much data is already available in the public domain, targeted novel simulations and experiments are need to obtain the hydrodynamic and forcing coefficients needed to solve a 6-Degree of Freedom (6-DoF) Fossen-type motion equation. Dr Furth will expand on the data needed and unique requirements this places on the experimental platform used.
The talk will cover the developed an 8 ft free running scaled model of the Generic Prismatic Planing Hull (GPPH) which is an ideal experimental platform for large scale data generation of HSC hydrodynamic performance. The free running model is self-propelled and equipped with a data acquisition system (DAQ) to gather hydrodynamic information. The in-situ settings provide a more realistic testing environment which is a diverse mix of current, wave, and wind conditions. An environmental monitoring system comprised of four commercial wave buoys and a stereovision system can be employed to measure the sea state.
This project aims to enhance our understanding of the hydrodynamic performance of HSC in various sea conditions during advanced and common maneuvers. The data and models developed through this project will facilitate a digitalization shift in ship design and operation, and ultimately enhance the safety and operability of fast planing vessels.
Bio: MIRJAM FÜRTH, Ph.D., is an Assistant Professor in the Department of Ocean Engineering at Texas A&M University, where her research focuses on numerical and experimental hydrodynamics, of high-speed craft, marine vessels, wave and current energy converters, offshore wind farms and robotic fish. Dr. Fürth holds a M.Sc. in Vehicle Engineering from KTH, Sweden, and a Ph.D. in Engineering and the Environment from the University of Southampton, United Kingdom. Prior to joining Texas A&M University, she was an Assistant Professor at Stevens Institute of Technology and the Davidson Lab, and prior to that, she did her Post doc at Yokohama National University, Japan.