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