Multi-objective optimization of elastomeric bearings to improve seismic performance of old bridges using eigen analysis and genetic algorithms

• Autorzy: Abbadi Mohammed S. , Lamdouar Nouzha

Identyfikatory

DOI

10.22630/PNIKS.2021.30.4.43

• Języki publikacji: EN

Abstrakty

EN

Old bridges present several seismic vulnerabilities and were designed before the emergence of seismic codes. In this context, partial seismic isolation has given a special attention to improve their seismic performance. In particular, elastomeric bearings are the simplest and least expensive mean for this, enabling to resist both non-seismic actions and earthquake loads. In order to assess the initial structural performance and the improvement done by the isolation, this paper attempts to combine multi objective optimization using genetic algorithms with linear and non-linear analysis using FE program OpenSees. A prior screening of the columns states is settled and then a multi objective optimization of a population of standard sized bearings meeting non-seismic and stability requirements is established to optimize the linear and non-linear behavior of the structure, finding the best compromise between displacements and forces at the columns.

Słowa kluczowe

EN

seismic isolation; OpenSees; genetic algorithms; Eurocode 8

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2021
• Tom: Vol. 30, No. 4
• Strony: 511--524
• Opis fizyczny: Bibliogr. 19 poz., il., mapy., rys., tab., wykr.

Twórcy

autor

Abbadi Mohammed S.

• Mohammed V University in Raba,t Mohammadia School of Engineers, Civil Engineering Laboratory, Morocco

• https://orcid.org/0000-0002-9831-9487

autor

Lamdouar Nouzha

• University in Rabat, Mohammadia School of Engineers Mohammed, V Civil Engineering Laboratory, Morocco

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)