Damper placement optimization in a shear building model with discrete design variables: a mixed-integer second-order cone programming approach

SUMMARY Supplemental damping is known as an efficient and practical means to improve seismic response of building structures. Presented in this paper is a mixed‐integer programming approach to find the optimal placement of supplemental dampers in a given shear building model. The damping coefficient...

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Bibliographic Details
Published in:Earthquake engineering & structural dynamics Vol. 42; no. 11; pp. 1657 - 1676
Main Author: Kanno, Yoshihiro
Format: Journal Article
Language:English
Published: Chichester Blackwell Publishing Ltd 01.09.2013
Wiley
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Subjects:
aseismic design
Dampers
Damping
Earth sciences
Earth, ocean, space
Earthquakes, seismology
Engineering and environment geology. Geothermics
Engineering geology
Exact sciences and technology
global optimization
Internal geophysics
Mathematical analysis
Mathematical models
mixed-integer programming
optimal damper placement
Optimization
Placement
Programming
Shear
structural control
transfer function
transfer function
algorithms
models
structural control
shear
structural controls
global
global optimization
seismic response
amplitude
solution
optimization
buildings
cones
mixed-integer programming
transfer functions
earthquake engineering
optimal damper placement
aseismic design
ISSN:0098-8847, 1096-9845
Online Access:Get full text
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Summary:SUMMARY Supplemental damping is known as an efficient and practical means to improve seismic response of building structures. Presented in this paper is a mixed‐integer programming approach to find the optimal placement of supplemental dampers in a given shear building model. The damping coefficients of dampers are treated as discrete design variables. It is shown that a minimization problem of the sum of the transfer function amplitudes of the interstory drifts can be formulated as a mixed‐integer second‐order cone programming problem. The global optimal solution of the optimization problem is then found by using a solver based on a branch‐and‐cut algorithm. Two numerical examples in literature are solved with discrete design variables. In one of these examples, the proposed method finds a better solution than an existing method in literature developed for the continuous optimal damper placement problem. Copyright © 2013 John Wiley & Sons, Ltd.
Bibliography:ark:/67375/WNG-Q0ZQG750-D
istex:5D339A8C04D662A31512CD864DE80410C7717B34
ArticleID:EQE2292
Grant-in-Aid for Scientific Research - No. 23560663
ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-2
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ISSN:0098-8847
1096-9845
DOI:10.1002/eqe.2292