Experiments, data assimilation and modeling of flexible plate impact on a wavy surface
Abstract
The goal of the proposed work is to explore the physics of the controlled high-speed impact of flexible and rigid plates on quiescent and wavy water surfaces in combination with the development of a machine-learning-based data driven model that will be suitable for advanced digital design frameworks, mission planning and real-time adaptive performance estimates. In the experiments, plate models are mounted on a two-axis carriage that moves the model horizontally along the tank with speeds up to 10~m/s and propels the model downward at speeds up to 2.0~m/s. Feedback control systems are used to move the plate through impact with the water surface at constant velocity. In the proposed work, experiments will be performed with a quiescent water surface (in a brief continuation of our previous work) and with a water surface with waves ranging in amplitude from small linear waves to large-amplitude breaking waves. Measurements of the forces and moments on the plate, the plate deflection, theplate strain and the pressure on the wet surface of the plate will be obtained and used to explore the physics of plate impact. A systems-level predictive model based on the Dynamic Data Driven Application Systems (DDDAS) framework will be developed to simulate the impact process. This model will be tuned and tested with the wide ranging data set from the experiments. The work proposed in this five-year project is composed of four main tasks: 1.) Limited experiments on plate impact on a quiescent water surface, 2.) Extensive experiments on plate impact on a wavy water surface, 3.) Development and testing of a DDDAS-based model of plate impact on a water surface, and 4.) Strain and pressure sensor manufacture.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 08, 2024
- Source ID
- N000142412534
Entities
People
- Ken Kiger
Organizations
- Office of Naval Research
- United States Navy
- University of Maryland