000020201 001__ 20201
000020201 005__ 20170118182359.0
000020201 04107 $$aeng
000020201 046__ $$k2017-01-09
000020201 100__ $$aAmir, Oded
000020201 24500 $$aMinimum-Cost Optimal Design of Nonlinear Fluid Viscous Dampers and Their Supporting Braces for Seismic Retrofitting

000020201 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000020201 260__ $$b
000020201 506__ $$arestricted
000020201 520__ $$2eng$$aIn this paper, we present a new methodology for achieving economical retrofitting design solutions of 3-D irregular frames. Nonlinear fluid viscous dampers and their supporting braces are optimally distributed in irregular 3D frames and optimally sized. For generating optimal design solutions useful for practitioners, a realistic cost formulation is chosen as the objective function to be minimized. Constraints are imposed on interstory drifts at the peripheries. These are evaluated with nonlinear time-history analyses considering realistic ground acceleration records. The behavior of each damper-brace system is defined based on the Maxwell’s model for viscoelasticity. A fractional power-law is used to describe the nonlinear force-velocity relation of each damper, and the stiffening contribution of the supporting brace and of the damper is represented by linear springs. The damper-brace elements are divided into size-groups, that is, elements with the same mechanical properties. The properties of each size-group of dampers (damping coefficient and supporting brace stiffness), and the dampers’ distribution in the structure are optimally defined in the optimization process using Genetic Algorithms. The capability of the proposed methodology to achieve economical designs is demonstrated in a practical case. The numerical results establish also important benchmarks for other, more efficient, methods to be developed.

000020201 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020201 653__ $$anonlinear fluid viscous dampers; Maxwell’s model; irregular frames; nonlinear time history analysis; genetic algorithm.

000020201 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000020201 720__ $$aAmir, Oded$$iLavan, Oren$$iPollini, Nicolo
000020201 8560_ $$ffischerc@itam.cas.cz
000020201 8564_ $$s505548$$uhttps://invenio.itam.cas.cz/record/20201/files/733.pdf$$yOriginal version of the author's contribution as presented on USB, paper 733.
000020201 962__ $$r16048
000020201 980__ $$aPAPER