Show simple item record

contributor authorTae-Hyun Kwon; Hwayeon Song
date accessioned2019-03-10T12:02:22Z
date available2019-03-10T12:02:22Z
date issued2019
identifier other%28ASCE%29CP.1943-5487.0000804.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254721
description abstractThe design of buildings is an integrated process, from an exploration of multiple alternatives of building shapes to an evaluation of structural performance as well as an assessment of construction cost. The primary objective of this study is to propose an integrated framework to explore solid-type building shapes on the basis of their preliminary structural performance. The proposed framework is based on an evolutionary method using implicit redundant representation genetic algorithm (IRRGA) to search for building shapes, where objective functions are derived from synthesis of visual forms or intuitive reasoning in a similar way to how an architect makes decisions. The framework is supported by the following components: (1) transformation from a building shape to a structural model, (2) performance evaluation by structural analysis, and (3) total volume optimization as a cost feedback to assist in the selection of building shapes. The framework can help the architect to determine the acceptability of building shapes at the early stage of the design process.
publisherAmerican Society of Civil Engineers
titleIntegrated Exploration of Building Shapes Based on Structural Performance
typeJournal Paper
journal volume33
journal issue3
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000804
page04019006
treeJournal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record