COLLABORATIVE RESEARCH: A DISCRETE MODELING FRAMEWORK FOR FRACTURE AND DAMAGE PREDICTION IN STRUCTURAL STEE…

Assistance award details

Assistance award identifier

ASST_NON_2551053_049

FAIN

2551053

Recipient

UNIVERSITY OF ARKANSAS

Awarding agency

National Science Foundation

Funding agency

National Science Foundation

Assistance listing (CFDA)

47.041

Total obligated

$155,000

Period

Jan 1, 2027 – Dec 31, 2029

Fiscal year

2026

Place of performance state

AR

Source file

FY2026_All_Assistance_Full_20261006.zip

Description

COLLABORATIVE RESEARCH: A DISCRETE MODELING FRAMEWORK FOR FRACTURE AND DAMAGE PREDICTION IN STRUCTURAL STEEL -FAILURES CAUSED BY FRACTURE OR CRACKING IN STEEL ARE DIFFICULT TO PREDICT, MAKING IT HARDER TO DESIGN BUILDINGS, BRIDGES, AND OTHER CRITICAL INFRASTRUCTURE THAT ARE SAFE, ECONOMICAL, AND RESILIENT. CURRENT COMPUTER MODELS OFTEN SIMPLIFY HOW STEEL BEHAVES UNDER STRESS; CONSEQUENTLY THEY OFTEN PRODUCE UNRELIABLE PREDICTIONS OF FRACTURE AND FAILURE WHEN MATERIALS OR LOADING CONDITIONS CHANGE. THIS PROJECT DEVELOPS A NEW WAY OF MODELING STEEL THAT CAPTURES HOW ITS INTERNAL MATERIAL STRUCTURE INFLUENCES THE FORMATION AND GROWTH OF CRACKS. BY MAKING PREDICTIONS MORE ACCURATE AND BROADLY APPLICABLE, THE RESEARCH WILL HELP ENGINEERS DESIGN STRUCTURES THAT PERFORM MORE RELIABLY DURING EARTHQUAKES, EXTREME WEATHER, AND OTHER SEVERE EVENTS. THE RESULTING ADVANCES WILL SUPPORT SAFER AND MORE RESILIENT INFRASTRUCTURE WHILE REDUCING THE NEED FOR COSTLY PHYSICAL TESTING AND ACCELERATING THE DEVELOPMENT OF STRONGER, MORE FRACTURE-RESISTANT STEELS. OPEN-SOURCE SOFTWARE, EDUCATIONAL MATERIALS, AND PUBLICLY AVAILABLE GUIDANCE WILL MAKE THESE TOOLS WIDELY ACCESSIBLE TO RESEARCHERS, PRACTICING ENGINEERS, AND STANDARDS ORGANIZATIONS, WHILE GRADUATE STUDENTS WILL RECEIVE INTERDISCIPLINARY TRAINING THAT PREPARES THEM TO ADDRESS FUTURE CHALLENGES IN INFRASTRUCTURE AND MATERIALS ENGINEERING. THE RESEARCH DEVELOPS A MULTISCALE COMPUTATIONAL FRAMEWORK THAT INTEGRATES A DISCRETE PARTICLE REPRESENTATION OF STEEL MICROSTRUCTURE WITHIN CONVENTIONAL FINITE ELEMENT SIMULATIONS TO CAPTURE CRACK INITIATION, PROPAGATION, AND ARREST WITH MECHANISTIC FIDELITY. THE WORK INCLUDES FIVE COORDINATED TASKS: DEVELOPING A MESOSCALE REPRESENTATION OF STEEL MICROSTRUCTURE FROM MICROSCOPY OBSERVATIONS; PERFORMING HIGH-THROUGHPUT MICROSCALE EXPERIMENTS TO QUANTIFY THE MECHANICAL PROPERTIES OF INDIVIDUAL PHASES AND INTERFACES; FORMULATING AND IMPLEMENTING A DISCRETE LATTICE MODEL THAT IS EMBEDDED WITHIN CONTI