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contributor authorGuillaume Hervé Poh’sié
contributor authorCorrado Chisari
contributor authorGiovanni Rinaldin
contributor authorMassimo Fragiacomo
contributor authorClaudio Amadio
contributor authorArio Ceccotti
date accessioned2017-05-08T22:29:05Z
date available2017-05-08T22:29:05Z
date copyrightApril 2016
date issued2016
identifier other46408405.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81362
description abstractThis paper presents a numerical study conducted on a seven-story timber building made of cross-laminated (X-lam) panels, equipped with a linear translational tuned mass damper (TMD). The TMD is placed on the top of the building as a technique for reducing the notoriously high drifts and seismic accelerations of these types of structures. TMD parameters (mass, stiffness, and damping) were designed using a genetic algorithm (GA) technique by optimizing the structural response under seven recorded earthquake ground motions compatible, on average, with a predefined elastic spectrum. Time-history dynamic analyses were carried out on a simplified two-degree-of-freedom system equivalent to the multistory building, while a detailed model of the entire building using two-dimensional elastic shell elements and elastic springs for modeling connections was used as a verification of the evaluated solution. Several comparisons between the response of the structure with and without TMD subjected to medium- and high-intensity recorded earthquake ground motions are presented, and the effectiveness and limits of these devices for improving the seismic performance of X-lam buildings are critically evaluated.
publisherAmerican Society of Civil Engineers
titleApplication of a Translational Tuned Mass Damper Designed by Means of Genetic Algorithms on a Multistory Cross-Laminated Timber Building
typeJournal Paper
journal volume142
journal issue4
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0001342
treeJournal of Structural Engineering:;2016:;Volume ( 142 ):;issue: 004
contenttypeFulltext


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