Multi-objective optimization of seismically isolated high-rise building structures using genetic algorithms

2008 ◽  
Vol 311 (3-5) ◽  
pp. 1141-1160 ◽  
Author(s):  
S. Pourzeynali ◽  
M. Zarif
Keyword(s):  
Genetic Algorithms ◽  
Building Structures ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
High Rise ◽  
High Rise Building ◽  
Seismically Isolated

Active control of high rise building structures using fuzzy logic and genetic algorithms

2007 ◽  
Vol 29 (3) ◽  
pp. 346-357 ◽  
Author(s):  
S. Pourzeynali ◽  
H.H. Lavasani ◽  
A.H. Modarayi
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Active Control ◽  
Building Structures ◽  
High Rise ◽  
High Rise Building

Development of V-Shaped Hybrid Mass Damper and its Application to High-Rise Buildings

1995 ◽  
Author(s):  
Masanori Imazeki ◽  
Koji Tanida ◽  
Masao Mutaguchi ◽  
Yuji Koike ◽  
Tamotsu Murata ◽  
...  
Keyword(s):  
First Year ◽  
Building Structures ◽  
Large Space ◽  
Natural Period ◽  
High Rise ◽  
High Rise Building ◽  
System A ◽  
Mass Damper ◽  
Story Building ◽  
Auxiliary Mass

Abstract A hybrid mass damper system has been developed with a view to counteracting wind- and earthquake-excited vibrations of large high-rise building structures. In order to eliminate the large space needed to accommodate a pendulum-type mass damper adapted to the long period of high-rise building, mechanism has been devised for suspending the auxiliary mass on a V-shaped rail sliding on rollers. The base angle of the V-shaped rail is varied for adjusting the natural period of the mass damper system. A suboptimal algorithm based on the minimum norm method has been adopted for designing the auxiliary mass driving system. Three units of this damper system, each equipped with auxiliary mass weighing 110 tons, have been installed on a 52-story building. Satisfactory performance conforming in all practical aspects with design has been verified from vibration test on actual building after installation. As sequel, the functioning of the system during the first year of service is also reported.

Multi-objective optimization of liquid-liquid mixing in helical pipes using Genetic Algorithms coupled with Computational Fluid Dynamics

2020 ◽  
Vol 391 ◽  
pp. 123570 ◽  
Author(s):  
Michael Mansour ◽  
Katharina Zähringer ◽  
Krishna D.P. Nigam ◽  
Dominique Thévenin ◽  
Gábor Janiga
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Genetic Algorithms ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Liquid Mixing
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