Award Data

Fog and smog reduce visibility at sea, greatly impacting ship navigation and safety. Low visibility marine conditions decrease speed and safety of commercial fleets and increase costs through poor fuel load planning. The COVID-19 pandemic underscored the importance of maritime operations to the supply chain; therefore, decreasing associated cost and risk are of the utmost importance. Applied Ocean ...

"Metron proposes to develop user-friendly software to promote understanding of impacts due to cascading climate hazards and extreme weather events, in collaboration with George Mason University (GMU). Climate and extreme weather (CEW) hazards pose significant risks to life and property. As extreme events become more prevalent, risks associated with cascading, compound events come to the fore, such ...

According to a survey completed by NCAT in 2019, as part of the NCHRP 20‐07 project, 36 DOTs (out of 43 responded) consider fatigue cracking as the most common failure mode that the agency wants to address. However, in the same survey, 34 of the DOTs also indicated that fatigue cracking test is not required in their mix design specifications. This is primarily because a simple, practical, and ro ...

The primary objective of this project is to improve awareness, safety and enjoyment for mariners in coastal and inland waters by the creation of a participatory sensor network (PSN) that facilitates sharing of marine observations with other mariners. We are adding a new degree of temporal fidelity to nautical charts and maps. The approach leverages volunteered geographic information to augment con ...

Harmful algal blooms (HABs) represent a significant problem for the Blue Economy, adversely affecting drinking water, commercial fisheries, water recreation, and tourism. Early detection of HABs is crucial in mitigating their effects. We propose to continue our development of HABSSED (Harmful Algal Bloom Surveillance by Sequencing of Environmental DNA) into the prototyping phase. The HABSSED pipel ...

The primary objective of the proposed endeavor is to build a community-driven marine coastal data harvesting ecosystem that not only provides a benefit to the individuals within the coastal community, but also enhances the data quality, completeness and timeliness of maritime safety and navigation databases. The approach leverages volunteered geographic information to motivate dataset generation f ...

According to a survey completed by NCAT in 2019, as part of the NCHRP 20‐07 project, 36 DOTs (out of 43 responded) consider fatigue cracking as the most common failure mode that the agency wants to address. However, in the same survey, 34 of the DOTs also indicated that fatigue cracking test is not required in their mix design specifications. This is primarily because a simple, practical, and ro ...

Most research on scour assessment has traditionally focused on developing best-fit or envelope equations to estimate the maximum scour depths from physical experiments in a laboratory environment. However, obtaining an accurate estimate is always a challenge due to numerous uncertainties in the actual riverine or coastal environment. With advances in new surveying technologies and growing computat ...

A newly proposed combination of high-strength weathering steel sheet with Ultra-High Performance Concrete (UHPC) to leverage the benefits of both emerging technologies. The combined system offers benefits over traditional orthotropic steel decks and existing concrete or UHPC deck solutions, both of which offer high up-front costs in fabrication or forming. The resulting composite structure provide ...

The machine learning for counterfeit detection research program continues the successful Phase 1 feasibility study of applying machine learning to detect FPGA counterfeits. In Phase 1, Graf Research demonstrated the feasibility of implementing a machine learning based counterfeit detection platform for a single FPGA device and representing data characteristic of repackaged counterfeit devices.  T ...