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Interactive self-contained compliant structure design supported by multi-objective knowledge inference
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AI
DOI：10.1080/17452007.2025.2471078.png)
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Abstract
En 中文
Modern structural design must balance design criteria with increasing objectives like cost minimization, carbon reduction, and stakeholder interests. However, this multi-domain knowledge exists in unstructured forms, such as text, formulas, and tables, and converting it into machine-readable structured knowledge within a unified knowledge framework remains challenging. This paper proposes an ontology-based knowledge modeling and mapping approach to transform unstructured knowledge from design specifications, cost, and carbon emissions into structured knowledge. This approach enables self-containing compliance with structural design standards and supports multi-objective trade-offs. Furthermore, ontology models are transformed into backend services to facilitate interactive design. The developed system has been rigorously tested and validated through case studies. This method promotes the standardization, intelligence, and sustainability of the structural engineering and construction industries, significantly enhancing the overall efficiency and collaboration within the sector.
Keywords:
Structure
multi-objective design
ontology
knowledge inference
knowledge mapping
Journal
IF:
2.5
Papers:
183
Citations:
1.3K