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Steel and Composite Structures
  Volume 33, Number 6, December25 2019, pages 767-776
DOI: http://dx.doi.org/10.12989/scs.2019.33.6.767
 


A robust multi-objective localized outrigger layout assessment model under variable connecting control node and space deposition
Dongkyu Lee, Jaehong Lee and Joowon Kang

 
Abstract
    In this article, a simple and robust multi-objective assessment method to control design angles and node positions connected among steel outrigger truss members is proposed to approve both structural safety and economical cost. For given outrigger member layouts, the present method utilizes general-purpose prototypes of outrigger members, having resistance to withstand lateral load effects directly applied to tall buildings, which conform to variable connecting node and design space deposition. Outrigger layouts are set into several initial design conditions of height to width of an arbitrary given design space, i.e., variable design space. And then they are assessed in terms of a proposed multi-objective function optimizing both minimal total displacement and material quantity subjected to design impact factor indicating the importance of objectives. To evaluate the proposed multi-objective function, an analysis model uses a modified Maxwell-Mohr method, and an optimization model is defined by a ground structure assuming arbitrary discrete straight members. It provides a new robust assessment model from a local design point of view, as it may produce specific optimal prototypes of outrigger layouts corresponding to arbitrary height and width ratio of design space. Numerical examples verify the validity and robustness of the present assessment method for controlling prototypes of outrigger truss members considering a multi-objective optimization achieving structural safety and material cost.
 
Key Words
    localized outrigger layout; multi-objective optimization; variable geometric connecting node; space deposition; robustness
 
Address
(1) Dongkyu Lee, Jaehong Lee:
Department of Architectural Engineering, Sejong University, Seoul, 05006, Republic of Korea;
(2) Joowon Kang:
School of Architecture, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Republic of Korea.
 

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