Fragility-Based Analysis of Topologically Optimized Timber Building

Felipe Solís, Pablo Parra, Patricio Cendoya

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


The assessment of the seismic performance of timber structures and topology optimization are both widely researched topics in recent years. In addition, the new challenges in sustainability have led to increased use of wood in construction, a material considered to have a negative carbon footprint. This research assesses the seismic response of a topologically optimized structure to be located in Concepcion, Chile. The system corresponds to a five-story glulam braced frame, designed following current Chilean standards, with a structural configuration obtained from a topology optimization process using a Soft-kill BESO algorithm implemented in MATLAB. OpenSees was selected for structural analysis. The nonlinear structural behavior was only considered in joints, using the backbone curves introduced in ASCE 41-13. The seismic performance was determined through static pushover analysis, and later the building fragility curves were approximately calculated at the ASCE 41 performance levels from the pushover curve using SPO2FRAG. Finally, recommendations are made for using topology optimization algorithms in the design process of actual buildings.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2022 Eurasian OpenSees Days
EditoresFabio Di Trapani, Cristoforo Demartino, Giuseppe Carlo Marano, Giorgio Monti
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas9
ISBN (versión impresa)9783031301247
EstadoPublicada - 2023
Publicado de forma externa
Evento2nd Eurasian Conference on OpenSees Days, EOSD 2022 - Turin, Italia
Duración: 7 jul. 20228 jul. 2022

Serie de la publicación

NombreLecture Notes in Civil Engineering
Volumen326 LNCE
ISSN (versión impresa)2366-2557
ISSN (versión digital)2366-2565


Conferencia2nd Eurasian Conference on OpenSees Days, EOSD 2022


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