Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1784805153882243072 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9546923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shmerlingassaf optimizationofinelasticmultistorystructuresunderseismicvibrationsusingshapememoryalloymaterial AT gerdtsmatthias optimizationofinelasticmultistorystructuresunderseismicvibrationsusingshapememoryalloymaterial |