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http://dx.doi.org/10.12989/scs.2020.37.4.463

Optimum location for the belt truss system for minimum roof displacement of steel buildings subjected to critical excitation  

Kamgar, Reza (Department of Civil Engineering, Shahrekord University)
Rahgozar, Peyman (College of Design, Construction and Planning, University of Florida)
Publication Information
Steel and Composite Structures / v.37, no.4, 2020 , pp. 463-479 More about this Journal
Abstract
Currently, there are many lateral resisting systems utilized in resisting lateral loads being produced in an earthquake. Such systems can significantly reduce the roof's displacement when placed at an optimum location. Since in the design of tall buildings, the minimum distance between adjacent buildings is important. In this paper, the critical excitation method is used to determine the best location of the belt truss system while calculating the minimum required distance between two adjacent buildings. For this purpose, the belt truss system is placed at a specific story. Then the critical earthquakes are computed so that the considered constraints are satisfied, and the value of roof displacement is maximized. This procedure is repeated for all stories; i.e., for each, a critical acceleration is computed. From this set of computed roof displacement values, the story with the least displacement is selected as the best location for the belt truss system. Numerical studies demonstrate that absolute roof displacements induced through critical accelerations range between 5.36 to 1.95 times of the San Fernando earthquake for the first example and 7.67 to 1.22 times of the San Fernando earthquake for the second example. This method can also be used to determine the minimum required distance between two adjacent buildings to eliminate the pounding effects. For this purpose, this value is computed based on different standard codes and compared with the results of the critical excitation method to show the ability of the proposed method.
Keywords
critical excitation method; minimum required distance; linear dynamic analysis; time history analysis;
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