Term-sparse polynomial optimization for the design of frame structures
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00384191" target="_blank" >RIV/68407700:21110/25:00384191 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/s11081-025-10000-5" target="_blank" >https://doi.org/10.1007/s11081-025-10000-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11081-025-10000-5" target="_blank" >10.1007/s11081-025-10000-5</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Term-sparse polynomial optimization for the design of frame structures
Popis výsledku v původním jazyce
This work investigates an efficient solution to two fundamental problems in topology optimization of frame structures. The first one involves minimizing structural compliance under linear-elastic equilibrium and weight constraint, while the second one minimizes the weight under compliance constraints. These problems are non-convex and generally challenging to solve globally, with the non-convexity concentrated in a polynomial matrix inequality. In Tyburec et al. (2021, 2023), the authors tackled the problems using the moment-sum-of-squares hierarchy (mSOS), but were only able to solve smaller instances globally. Here, we aim to improve the scalability of solution to these problems by using the mSOS hierarchy supplemented with the Term Sparsity Pattern technique (TSP), which was introduced by Magron and Wang (2023). Due to the unique polynomial structure of our problems in which the objective and constraint functions are separable polynomials, we further improve scalability by adopting a reduced monomial basis containing non-mixed terms only. From extensive numerical testing, we conclude that these techniques allow for a global solution to two times larger instances when compared to (Tyburec et al. 2021, 2023), and accelerate the solution of the problems from Tyburec et al. (2021, 2023) significantly.
Název v anglickém jazyce
Term-sparse polynomial optimization for the design of frame structures
Popis výsledku anglicky
This work investigates an efficient solution to two fundamental problems in topology optimization of frame structures. The first one involves minimizing structural compliance under linear-elastic equilibrium and weight constraint, while the second one minimizes the weight under compliance constraints. These problems are non-convex and generally challenging to solve globally, with the non-convexity concentrated in a polynomial matrix inequality. In Tyburec et al. (2021, 2023), the authors tackled the problems using the moment-sum-of-squares hierarchy (mSOS), but were only able to solve smaller instances globally. Here, we aim to improve the scalability of solution to these problems by using the mSOS hierarchy supplemented with the Term Sparsity Pattern technique (TSP), which was introduced by Magron and Wang (2023). Due to the unique polynomial structure of our problems in which the objective and constraint functions are separable polynomials, we further improve scalability by adopting a reduced monomial basis containing non-mixed terms only. From extensive numerical testing, we conclude that these techniques allow for a global solution to two times larger instances when compared to (Tyburec et al. 2021, 2023), and accelerate the solution of the problems from Tyburec et al. (2021, 2023) significantly.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-15524S" target="_blank" >GA22-15524S: Polynomiální optimalizace v návrhu globálně optimálních rámových konstrukcí namáhaných dynamickým zatížením</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Optimization and Engineering
ISSN
1389-4420
e-ISSN
1573-2924
Svazek periodika
26
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
44
Strana od-do
2867-2910
Kód UT WoS článku
001514307200001
EID výsledku v databázi Scopus
2-s2.0-105008928967