Award Data

NDT of Fracture Toughness for Pipeline Steels3/16/2018Ultrasound-based technology to nondestructively determine fracture toughness of pipeline steels will be developed. Fracture toughness is the material parameter that, along with applied loading and flaw geometry, dictates the critical crack size, and therefore controls the flaw size that must be detected during inspections. A major challenge fac ...

Tragically, 936 children have died in hot cars since 1998. Wisely, NHTSA has prioritized evaluation of sensor systems in vehicles for “the ability to detect unattended children and prevent heat stroke occurrence.”Recently, innovators have developed systems that detect children present in the vehicle by measuring carbon dioxide (CO2) in the vehicle cabin, but there is no test method to assess w ...

To address the critical needs of protecting road users from harmful traffic conflicts, a project is proposed for innovative AI video analysis of dilemma zone conflicts at signal-controlled intersections using edge computing and 5G. Specifically, the proposal applies innovative AI, advanced video analysis, and deep learning technologies, which show promising preliminary results, for automatic and r ...

This project investigates an innovative modular steel bridge deck system of a “sandwich” design for achieving the necessary stiffness in orthogonal directions employing two steel plates separated by a steel stiffening core.Such a layered composite deck could become an ideal solution for the next generation of bridge applications.With the appropriate choice of the core profile, the transverse s ...

In response to the DOT’s FY21 SBIR topic 21-FT2, Interphase Materials (IPM) proposes the development of a low-cost automated data collection system that uses machine learning (ML), a type of artificial intelligence (AI), to predict and alert transit agencies of biological and viral contamination risks making condition-based sanitization possible for more effective and efficient operations.The CO ...

Nanoplastics (plastic debris

In response to the DOT’s FY21 SBIR topic 21-FT2, Interphase Materials (IPM) proposes the development of a low-cost automated data collection system that uses machine learning (ML), a type of artificial intelligence (AI), to predict and alert transit agencies of biological and viral contamination risks making condition-based sanitization possible for more effective and efficient operations.The CO ...

Seafood consumption in the United States has reached over 50% per capita over the last 25 years with over 75% of total U.S. seafood consumption coming from import. Many of the U.S. seafood import sources are located in tropical areas where bacteria and toxin hazards thrive. This concern is exacerbated by the increasing trade deficit. In 2001, the United States imported $6.8 billion more than expor ...

The primary goal of this research is to advance flood extent delineation modeling by enhancing the ability of the modeling community to access and utilize the forecasts and reanalysis products of the National Water Model. One of the most difficult challenges facing stakeholders in the flood inundation domain is the lack of easily accessible tools to query and process the large and complex datasets ...

The importance of weather and climate variability forecasts in the U.S. is amply demonstrated by the billions of dollars appropriated annually for the NWS and for surface, air, and satellite observations and by the existence of a vibrant private weather enterprise delivering value-added forms of NWS information to a wide range of public and private users. We have loyal customers in the energy sect ...