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A novel framework for set-based steel connection design automation.

Authors :
Wang, Yuyu
Bottazzi, Vitor Santos
Gattas, Joseph Michael
Source :
Computers & Structures. Jul2024, Vol. 298, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Existing computational design tools for steel connection design predominantly employ a point-based design (PBD) approach, which requires iterative re-evaluation whenever there are changes in design specifications. This paper introduces a new framework that adopts a set-based design (SBD) approach, aiming to substantially reduce the iteration and time cost associated with steel connection design and rework. The framework integrates a component-set connection design model with a database storage and query-based data retrieval method. The first method enables the flexible and efficient generation of a large connection design space from all possible component combinations, and automated identification of valid connection configurations within it. The latter method allows for automated design space refinement from preference-based evaluation of connection design efficiency and high-speed comparison and selection of optimal connection designs. To evaluate the relative performance of SBD and PBD approaches, the framework is applied to a steel floor system design case study with 62 connections. Results showed that the SBD approach achieved near-instantaneous connection design automation, with a total execution time of fewer than 55 milliseconds, making it over 10 times faster than the corresponding PBD approach. • First application of set-based parametric design to steel connection detailing. • Component-set connection design model allows flexible design space generation. • Automated design space refinement via detailing validity check and preference-based efficiency measure. • NoSQL database management system decouples design data generation from data use. • Query-based data retrieval allows near real-time connection design automation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457949
Volume :
298
Database :
Academic Search Index
Journal :
Computers & Structures
Publication Type :
Academic Journal
Accession number :
177223086
Full Text :
https://doi.org/10.1016/j.compstruc.2024.107366