The Committee evaluates and scores project ideas each year based on certain focus areas. Those focus areas are decided based on the interests of the member agencies. The projects that address pertinent issues within focus areas will be scored highest. Of all the projects evaluated, the TOP TEN are published here and represent the pool of projects member agencies can back. Those projects in the TOP TEN that are not funded are automatically added to the pool of ideas for the following year's voting, and the authors will be given a chance to update/revise them as necessary.
The projects that were selected in the most recent voting year are listed below. If you have a project that you would like considered by the Committee, subscribe to our mailing list to receive updates on solicitation timeline. Project proposals are typically solicited in the October/November timeframe.
| 1. |
19-13 |
Localized Weld Repair of Fatigue-Cracked and-or Corrosion-Damaged Aluminum Structures |
| 2. |
19-08 |
Digital twin methodologies for the integration of hull monitoring systems with physics-based models to support ship operations and service life extensions |
| 3. |
19-03 |
Low temperature steel selection |
| 4. |
19-10 |
Extraction of real-time, full-field dynamic stress and strain using finite element model information and limited sets of measured data for vessel structural health monitoring |
| 5.* |
19-04 |
Differences between corrosion fatigue and fatigue of corroding structures to develop an understanding of the impact on life |
| 5.* |
19-06 |
Ultimate strength of ice class ship structures in intact and damaged conditions |
| 7. |
19-07 |
Application of a reliability-based design loads generator (DLG) to determine hull pressure forces for use in finite element methods |
| 8.* |
19-01 |
Risk-based structural life management system |
| 8.* |
19-02 |
Importance of fabrication and detailing |
| 8.* |
19-12 |
A survey of safety and materials guidance for ammonia fueled ships |
| 8.* |
19-14 |
Development of a data-driven, near real-time monitoring and pre-warning system for propulsion shaft alignment using machine learning |
Sunday,
05/26/2019
Project Selection Procedure