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Leveraging physical intelligence for the self-design of high performance engineering structures

The design of complex engineering structures largely relies on computational intelligence in the form of science-based predictive models to support design decisions. This approach requires modeling and manufacturing uncertainties to be accounted for explicitly and leads to an inescapable trade-off o...

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Autores principales: Paixão, Jessé, Sadoulet-Reboul, Emeline, Foltête, Emmanuel, Chevallier, Gaël, Cogan, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270372/
https://www.ncbi.nlm.nih.gov/pubmed/35803987
http://dx.doi.org/10.1038/s41598-022-15229-z
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author Paixão, Jessé
Sadoulet-Reboul, Emeline
Foltête, Emmanuel
Chevallier, Gaël
Cogan, Scott
author_facet Paixão, Jessé
Sadoulet-Reboul, Emeline
Foltête, Emmanuel
Chevallier, Gaël
Cogan, Scott
author_sort Paixão, Jessé
collection PubMed
description The design of complex engineering structures largely relies on computational intelligence in the form of science-based predictive models to support design decisions. This approach requires modeling and manufacturing uncertainties to be accounted for explicitly and leads to an inescapable trade-off of performance for robustness. To remedy this situation, a novel self-design paradigm is proposed that closes the loop between the design and manufacturing processes by leveraging physical intelligence in the form of real-time experimental observations. This allows the real-time product behavior to participate in its own design. The main benefit of the proposed paradigm is that both manufacturing variability and difficult-to-model physics are accounted for implicitly via in situ measurements thus circumventing the performance-robustness trade-off and guaranteeing enhanced performance with respect to standardized designs. This paradigm shift leads to tailored design realizations which could benefit a wide range of high performance engineering applications. The proposed paradigm is applied to the design of a simply-supported plate with a beam-like absorber introduced to reduce vibrations based on an equal peaks performance criteria. The experimental setup includes a low-cost 3D printer driven by a simple decision algorithm and equipped with an online vibration testing system. The performances of a small population of self-designed plates are compared to their standardized counterparts in order to highlight the advantages and limitations of the new self-design manufacturing paradigm.
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spelling pubmed-92703722022-07-10 Leveraging physical intelligence for the self-design of high performance engineering structures Paixão, Jessé Sadoulet-Reboul, Emeline Foltête, Emmanuel Chevallier, Gaël Cogan, Scott Sci Rep Article The design of complex engineering structures largely relies on computational intelligence in the form of science-based predictive models to support design decisions. This approach requires modeling and manufacturing uncertainties to be accounted for explicitly and leads to an inescapable trade-off of performance for robustness. To remedy this situation, a novel self-design paradigm is proposed that closes the loop between the design and manufacturing processes by leveraging physical intelligence in the form of real-time experimental observations. This allows the real-time product behavior to participate in its own design. The main benefit of the proposed paradigm is that both manufacturing variability and difficult-to-model physics are accounted for implicitly via in situ measurements thus circumventing the performance-robustness trade-off and guaranteeing enhanced performance with respect to standardized designs. This paradigm shift leads to tailored design realizations which could benefit a wide range of high performance engineering applications. The proposed paradigm is applied to the design of a simply-supported plate with a beam-like absorber introduced to reduce vibrations based on an equal peaks performance criteria. The experimental setup includes a low-cost 3D printer driven by a simple decision algorithm and equipped with an online vibration testing system. The performances of a small population of self-designed plates are compared to their standardized counterparts in order to highlight the advantages and limitations of the new self-design manufacturing paradigm. Nature Publishing Group UK 2022-07-08 /pmc/articles/PMC9270372/ /pubmed/35803987 http://dx.doi.org/10.1038/s41598-022-15229-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Paixão, Jessé
Sadoulet-Reboul, Emeline
Foltête, Emmanuel
Chevallier, Gaël
Cogan, Scott
Leveraging physical intelligence for the self-design of high performance engineering structures
title Leveraging physical intelligence for the self-design of high performance engineering structures
title_full Leveraging physical intelligence for the self-design of high performance engineering structures
title_fullStr Leveraging physical intelligence for the self-design of high performance engineering structures
title_full_unstemmed Leveraging physical intelligence for the self-design of high performance engineering structures
title_short Leveraging physical intelligence for the self-design of high performance engineering structures
title_sort leveraging physical intelligence for the self-design of high performance engineering structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270372/
https://www.ncbi.nlm.nih.gov/pubmed/35803987
http://dx.doi.org/10.1038/s41598-022-15229-z
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