Project Grant N629092512051

This $187,220 National Science Foundation project grant supports research at Virginia Polytechnic Institute and State University to establish an optimal design framework for multi-functional composite structures. Leveraging kirigami cutting principles and snap-through multi-stability, the framework will expand performance capabilities for composites in aerospace, automotive, and robotics applications. Under the NSF Engineering program (CFDA 47.041), which supports innovation and excellence in...

The National Science Foundation awarded a $216,000 Project Grant to Southern Illinois University Carbondale under the Engineering (47.041) federal grant program. The two-year project will fund research to understand the thermomechanical response of sandwich structures with triply periodic minimal surface core lattice architectures. The university researchers will use numerical simulations and experimental testing to examine how structured core designs, including gyroid, diamond, and primitive...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $307,450 to The Trustees of Princeton University to conduct collaborative research on a new class of optimal biomimetic shell structures termed "torenes." The research aims to investigate the mechanics, geometric properties, and optimization of these multilayer plate and shell structures inspired by the nuclear envelope in human cells. Key objectives include performing...

This three-year, $498,773 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research to bridge locally stress-constrained topology optimization and additive manufacturing. Principal Investigator Princeton University will conduct research to develop unified stress-constrained topology optimization approaches that accommodate infinite load cases and spatially varying material properties. It will also validate optimized multi-material and...

This National Science Foundation Project Grant award of $511,916 supports research at The Pennsylvania State University to develop computational design techniques for multi-functional triply periodic minimal surface lattice structures. The award is provided through the NSF Engineering Directorate's ($512K) program, which seeks to advance engineering innovation and research. Specifically, the research will formulate novel computational methods to efficiently design lattice structures...

This five-year, $1,279,786 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at the Massachusetts Institute of Technology to develop a fundamental understanding of the mechanics of three-dimensional self-architected materials. The grantee will integrate computational modeling and experimental methods to relate geometric parameters like curvature to mechanical responses of nano-to-microscale self-architected materials derived via spinodal...

This three-year, $365,327 National Science Foundation Project Grant through the Engineering program (CFDA 47.041) will fund research at the University of California, San Diego to develop new energy-absorbing metamaterials with hierarchical and multi-stable internal architectures. The grantee will design foam-like cellular materials with predictable energy absorption capabilities comparable to ideal absorbers. Introducing hierarchy and multi-stability is intended to enhance absorption capacity,...

This National Science Foundation project grant of $562,918 supports research at the University of Connecticut from October 2022 through September 2025 under the Engineering program (CFDA 47.041). The research aims to develop novel computational techniques to efficiently design multi-functional lattice structures using triply periodic minimal surfaces for additive manufacturing. The techniques will take into account strength, durability, transport properties and manufacturability for applications...

This National Science Foundation Project Grant of $157,420 awarded in October 2022 under the Engineering (47.041) program will fund research to develop new algorithms for the automated computational design of compound machines containing multiple moving parts. Specifically, the principal investigator at Georgia Tech will create topology optimization frameworks to simultaneously design internal topologies of planar domains and optimize their connectivity to form multibody mechanisms. Finite...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $415,754 to the Texas A&M Engineering Experiment Station (Tees) to advance computational methods for accurately characterizing the mechanical behavior of critical materials. The key products and services to be delivered include: Developing a global programming "epsilon-optimal" spatial branching technique using a novel class of efficient convex underestimators. An...