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Published November 26, 2019 | Supplemental Material + Published
Journal Article Open

Metamaterials with engineered failure load and stiffness

Abstract

Architected materials or metamaterials have proved to be a very effective way of making materials with unusual mechanical properties. For example, by designing the mesoscale geometry of architected materials, it is possible to obtain extremely high stiffness-to-weight ratio or unusual Poisson's ratio. However, much of this work has focused on designing properties like stiffness and density, and much remains unknown about the critical load to failure. This is the focus of the current work. We show that the addition of local internal prestress in selected regions of architected materials enables the design of materials where the critical load to failure can be optimized independently from the density and/or quasistatic stiffness. We propose a method to optimize the specific load to failure and specific stiffness using sensitivity analysis and derive the maximum bounds on the attainable properties. We demonstrate the method in a 2D triangular lattice and a 3D octahedral truss, showing excellent agreement between experimental and theoretical results. The method can be used to design materials with predetermined fracture load, failure location, and fracture paths.

Additional Information

© 2019 National Academy of Sciences. Published under the PNAS license. Edited by David A. Weitz, Harvard University, Cambridge, MA, and approved October 21, 2019 (received for review July 9, 2019). PNAS first published November 11, 2019. Data Availability: All data needed to evaluate the conclusions in this paper are available in the main text or in SI Appendix. We thank Petros Arakelian for helping print the samples used for this research. We also thank Connor McMahan and Dr. Osama Bilal for useful discussions on the experiments. This work was supported by the Shang-Li and Betty Huang endowed graduate fellowship fund in mechanical engineering at the California Institute of Technology. C.D. acknowledges support from the National Science Foundation (NSF) CSSI Grant 1835735. Author contributions: S.S.I., C.D., and K.B. designed research; S.S.I. performed research; S.S.I., C.D., and K.B. contributed new reagents/analytic tools; S.S.I., C.D., and K.B. analyzed data; and S.S.I., C.D., and K.B. wrote the paper. The authors declare no competing interest. This article is a PNAS Direct Submission. This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1911535116/-/DCSupplemental.

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Supplemental Material - pnas.1911535116.sapp.pdf

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Created:
August 22, 2023
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October 18, 2023