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Updated: Sep 25, 2025

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
Published on: January 30, 2019
Computer tool with intelligent behavior for the optimal preliminary design in non-braced structural steel frame.
Edwin P Duque1,2, Daniel Villarreal2, Henrry Rojas A2
1Department of Civil Engineering, Technical University of Loja, San Cayetano Alto, Paris Street, Loja 110150, Province of Loja, Ecuador.
OPS Design v2.0 optimizes metallic structural profiles for Ordinary Moment Frames (OMF), minimizing material variety and weight. This leads to more efficient, cost-effective, and faster structural designs compared to commercial tools.
Area of Science:
- Civil Engineering
- Structural Optimization
- Computational Mechanics
Background:
- Civil structure optimization enhances material efficiency within defined constraints.
- Technological advancements, particularly computing power, enable complex structural modeling and optimization.
- Traditional design processes involve time-consuming iterative analyses for profile selection.
Purpose of the Study:
- To introduce OPS Design v2.0, a computational tool for preliminary optimal distribution of metallic profiles in Ordinary Moment Frames (OMF).
- To minimize the number of distinct profiles and the overall structural weight.
- To reduce construction complexity and material costs per linear meter.
Main Methods:
- Implementation of an optimization model within the OPS Design v2.0 software.
- Focus on minimizing profile variety and structural self-weight.
- Evaluation through a comparative case study against commercial design tools.
Main Results:
- OPS Design v2.0 achieved a more efficient distribution of metallic structural profiles.
- The software reduced the number of different profiles and the structure's own weight.
- Designs generated by OPS Design v2.0 outperformed those from commercial tools in efficiency.
Conclusions:
- OPS Design v2.0 effectively optimizes structural designs for Ordinary Moment Frames.
- The tool significantly reduces computational expense and design time in preliminary project phases.
- This optimization contributes to lower material costs and simplified construction processes.
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