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Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material

This paper develops a novel optimization methodology for designing Shape-memory-alloy resisting devices (SMARDs) and optimally allocating them to inelastic multistory structures. The solution algorithm is a control gains optimization procedure that refers to a formal optimization problem with an obj...

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Autores principales: Shmerling, Assaf, Gerdts, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546923/
https://www.ncbi.nlm.nih.gov/pubmed/36207352
http://dx.doi.org/10.1038/s41598-022-20537-5
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author Shmerling, Assaf
Gerdts, Matthias
author_facet Shmerling, Assaf
Gerdts, Matthias
author_sort Shmerling, Assaf
collection PubMed
description This paper develops a novel optimization methodology for designing Shape-memory-alloy resisting devices (SMARDs) and optimally allocating them to inelastic multistory structures. The solution algorithm is a control gains optimization procedure that refers to a formal optimization problem with an objective function subject to the state-space equation and design limitations. The objective function integrates the squared state components in time, and the state-space equation consists of a newly introduced state vector form that reflects the system's inelasticity. The control gains are the number of total Shape-memory-alloy (SMA) wires attached to the devices in each story, and the design limitations dictate the minimum/maximum number of wires. The solution algorithm consists of five iterative steps that employ the defined Hamiltonian gradients in state and gains and cater to the necessary optimality conditions. The numerical example deals with upgrading an eight-story shear-type frame system. It studies the algorithm efficiency and elaborates on the effect of the optimal weighting matrix by investigating three different configurations. In all cases, the algorithm improves the system's inelastic seismic response—showcasing the reliability of the developed design methodology and the utilization of SMA material.
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spelling pubmed-95469232022-10-09 Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material Shmerling, Assaf Gerdts, Matthias Sci Rep Article This paper develops a novel optimization methodology for designing Shape-memory-alloy resisting devices (SMARDs) and optimally allocating them to inelastic multistory structures. The solution algorithm is a control gains optimization procedure that refers to a formal optimization problem with an objective function subject to the state-space equation and design limitations. The objective function integrates the squared state components in time, and the state-space equation consists of a newly introduced state vector form that reflects the system's inelasticity. The control gains are the number of total Shape-memory-alloy (SMA) wires attached to the devices in each story, and the design limitations dictate the minimum/maximum number of wires. The solution algorithm consists of five iterative steps that employ the defined Hamiltonian gradients in state and gains and cater to the necessary optimality conditions. The numerical example deals with upgrading an eight-story shear-type frame system. It studies the algorithm efficiency and elaborates on the effect of the optimal weighting matrix by investigating three different configurations. In all cases, the algorithm improves the system's inelastic seismic response—showcasing the reliability of the developed design methodology and the utilization of SMA material. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546923/ /pubmed/36207352 http://dx.doi.org/10.1038/s41598-022-20537-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Shmerling, Assaf
Gerdts, Matthias
Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title_full Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title_fullStr Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title_full_unstemmed Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title_short Optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
title_sort optimization of inelastic multistory structures under seismic vibrations using shape-memory-alloy material
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546923/
https://www.ncbi.nlm.nih.gov/pubmed/36207352
http://dx.doi.org/10.1038/s41598-022-20537-5
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