This National Science Foundation (NSF) Cooperative Agreement award for $1,177,447.00, under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, will support the development and validation of a fractional calculus-based simulation framework to perform material degradation analysis of complex aerospace structural systems. The project aims to enable faster design cycles, less expensive maintenance operations, and improved safety and durability of aerospace structural systems...
This $313,054 federal Project Grant award from the National Science Foundation's Engineering program supports fundamental research by The Pennsylvania State University (Penn State) to develop a new modeling approach using fractional-order differential equations to predict the performance and lifetime of metallic alloys. The research aims to account for the history of how a metal has been deformed, which significantly impacts its future behavior but is not well captured by current complex models....
This $457,384 National Science Foundation project grant supports the development of a new computational framework for stochastic analysis of quasibrittle damage and fracture through 2025. Funded under the NSF Engineering program (CFDA 47.041), key products include a mechanism-based model for mapping random fields of material properties onto finite elements to resolve mesh dependence issues in stochastic finite element simulations of quasibrittle structures. Validation will utilize experimental...
This $210,000 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support the development of an experimentally verified thermodynamic framework for evaluating the fatigue performance and life of composite materials. The research aims to account for complex failure mechanisms in composites like matrix cracking, delamination, and fiber breakage through an entropy-based approach. The grant will enable in-situ thermal imaging of composite...
This $249,999 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to establish a physics-informed machine learning (PIML) framework to enable accurate and transparent predictions of fatigue life and its variation for metal additive manufacturing (AM) components. The project will fabricate baseline fatigue samples of SS316L and Ti-6Al-4V alloys produced via laser powder bed fusion (LPBF) AM and post-processing, characterize their...
This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant award, under CFDA Program 47.041 Engineering, provides $200,000 in funding to the South Dakota School of Mines & Technology to develop a computational framework for simulating failure in advanced metal-ceramic composite materials. The research aims to create an efficient, multi-fidelity simulation platform that can accurately model damage processes like particle fracture, matrix cracking, and...
This three-year National Science Foundation Project Grant of $543,864 supports research at Worcester Polytechnic Institute to improve mathematical modeling of material failure under applied forces. Funded through the Mathematical and Physical Sciences program, the award aims to advance variational fracture models to better predict failure in applications across civil infrastructure and national defense. Specifically, the principal investigator will enhance an existing static formulation to...
This $420,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of new numerical algorithms for simulating complex multiscale, multiphysics systems. The primary awardee, Virginia Polytechnic Institute & State University (Virginia Tech), will construct a novel hybrid time integration framework to enable accurate and efficient co-simulation of systems governed by time-dependent partial differential...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $399,915 in funding to the University of California, Davis from April 1, 2025 to March 31, 2028. The goal of this research is to develop a novel scientific formulation that integrates fracture mechanics with an enriched frame element formulation, resulting in a method that can accurately simulate the initiation and propagation of fracture and fatigue in steel structures. This research...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 Engineering provides $348,061 in funding to the CAL Poly Pomona Foundation Inc. over a 3-year period from May 1, 2025 to April 30, 2028. The objective of this project is to understand the thermomechanical fatigue behavior of semiconductor/metal interfaces under cyclic thermal and mechanical loading. The research will focus on developing an energy dissipation criterion to evaluate thermomechanical fatigue damage in these...