Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
141 University of North Texas (142029)
Principal Investigator: Sadat,Hamid
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 149,784
Exceeds $250,000 (Is it flagged?): No
Start and End Dates: 10/1/22 - 9/30/25
Restricted Research: YES
Academic Discipline: Mechanical Engineering
Department, Center, School, or Institute: College of Engineering
Title of Contract, Award, or Gift: Development of Physics-Informed Mathematical Models for Ship Extreme Responses in Ocean Waves
Name of Granting or Contracting Agency/Entity:
U.S. Office of Naval Research
CFDA Link: DOD
12.300
Program Title:
none
CFDA Linked: Basic and Applied Scientific Research
Note:
The behavior of ships in a seaway is an important subject as the motions and loads have a strong impact on the safety, economics and optional performance of a vessel. With ships having novel hull forms, sailing at higher speeds, and expecting to operate in harsh weather, the need for hydrodynamic load and seakeeping analyses becomes even more and more important. Moreover, as the importance of safety and reliability increases the need for accurate predictions of motions/loads and assessment of extreme response statistics becomes more important. While nonlinear ship hydrodynamic programs have been developed in the past in order to enhance the accuracy of ship response predictions, their practical application is still a difficult task. Linear prediction tools benefit from easy assessment techniques like the frequency domain and linear spectral analytical methods. However, these tools are not often reliable, particularly in severe operational conditions. The need for nonlinear solvers and particularly fully physics-based nonlinear solvers such as CFD is imminent but computations are very time-consuming and practically impossible to search through all wave environments to assess the extreme response statistics, which are considered rare but influential responses, i.e. they are associated with the ‘tails’ of the ship response probability distribution function (PDF). One way to enhance the practicality of the nonlinear tools is to develop mathematical methods in which the wave trail can be designed statistically. This study aims at the development of physics-informed methods framed around wave conditioning techniques to study extreme ship responses under Gaussian and non-Gaussian processes.
Discussion: No discussion notes