| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | August 23, 2018 |
| Latest Amendment Date: | June 16, 2020 |
| Award Number: | 1835735 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Alejandro Suarez
alsuarez@nsf.gov (703)292-7092 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | November 1, 2018 |
| End Date: | October 31, 2023 (Estimated) |
| Total Intended Award Amount: | $555,834.00 |
| Total Awarded Amount to Date: | $666,834.00 |
| Funds Obligated to Date: |
FY 2020 = $111,000.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
1200 E CALIFORNIA BLVD PASADENA CA US 91125-0001 (626)395-6219 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1200 E California Blvd Pasadena CA US 91125-0600 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
DMR SHORT TERM SUPPORT, Data Cyberinfrastructure |
| Primary Program Source: |
01002021DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
A team of experts from four universities (Duke, RPI, Caltech and Northwestern) creates an open source data resource for the polymer nanocomposites and metamaterials communities. A broad spectrum of users will be able to query the system, identify materials that may have certain characteristics, and automatically produce information about these materials. The new capability (MetaMine) is based on previous work by the research team in nanomaterials (NanoMine). The effort focuses upon two significant domain problems: discovery of factors controlling the dissipation peak in nanocomposites, and tailored mechanical response in metamaterials motivated by an application to personalize running shoes. The project will significantly improve the representation of data and the robustness with which user communities can identify promising materials applications. By expanding interaction of the nanocomposite and metamaterials communities with curated data resources, the project enables new collaborations in materials discovery and design. Strong connections with the National Institute of Standards and Technology (NIST), the Air Force Research Laboratory (AFRL), and Lockheed Martin facilitate industry and government use of the resulting knowledge base.
The project develops an open source Materials Knowledge Graph (MKG) framework. The framework for materials includes extensible semantic infrastructure, customizable user templates, semi-automatic curation tools, ontology-enabled design tools and custom user dashboards. The work generalizes a prototype data resource (NanoMine) previously developed by the researchers, and demonstrates the extensibility of this framework to metamaterials. NanoMine enables annotation, organization and data storage on a wide variety of nanocomposite samples, including information on composition, processing, microstructure and properties. The extensibility will be demonstrated through creation of a MetaMine module for metamaterials, parallel to the NanoMine module for nanocomposites. The frameworks will allow for curation of data sets and end-user discovery of processing-structure-property relationships. The work supports the Materials Genome Initiative by creating an extensible data ecosystem to share and re-use materials data, enabling faster development of materials via robust testing of models and application of analysis tools. The capability will be compatible with the NIST Material Data Curator System, and the team also engages both AFRL and Lockheed Martin to facilitate industry and government use of the resulting knowledge base.
This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Materials Research within the NSF Directorate for Mathematical and Physical Sciences.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
In this project, the focus of our team at Caltech was on enhancing the foundamental understanding of engineered metarials' anisotropy, or directional behavior, within the solid mechanics research domain. Our primary achievement was investigating the effects of shear-normal coupling in anisotropic metamaterials. These materials exhibit shear stresses in response to axial strains and vice versa, primarily due to asymmetries in their material distributions. The coupled deformations resulting from anisotropy have broad applications, including shape-morphing and wave mode-conversion of longitudinal and shear waves.
When the elastic properties of structured materials vary with direction, the descriptors of their elastic behavior increase. For instance, in two dimensions (2D), anisotropic mechanical behavior is described by up to 6 independent elastic stiffness parameters, compared to 2 parameters in direction-independent isotropic materials. However, this expanded design space poses challenges in understanding the structure-property relations. Unlike isotropic elasticity, there are no clear design rules or well-defined upper and lower bounds, akin to the Hashin-Shtrikman bounds. This range, termed G-closure, delineates the limits for achievable tensors.
In the initial phase, we focused on estimating the bounds on anisotropic moduli. We curated a database of two-phase periodic anisotropic unit-cell geometries, employing a method inspired by spinodal decomposition in phase separation modeling. This database facilitated visualizing regions within the high-dimensional design and property space and identifying unexplored extremal properties. We compared our database with properties achieved by hierarchical(multi-scale) laminates, renowned for covering a vast design space. We delved into the significance of elasticity tensor invariants and their relationship with bounds on anisotropic elastic moduli.
In the subsequent phase, we devised an experimental technique and setup to assess anisotropic material properties. Our technique, utilizing the virtual fields method, enables determining six distinct stiffness tensor parameters of two-dimensional structured materials via a single tension test, eliminating the need for time-consuming multiple experiments. We validated our approach using synthetic data from finite element simulations and experiments on four additively manufactured specimens. By leveraging full-field displacement data measured through digital image correlation and global force data, our method circumvents the need for experimentally unavailable stress data.
Last Modified: 02/21/2024
Modified by: Chiara Daraio
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