Work

Interactive self-contained compliant structure design supported by multi-objective knowledge inference

Year: 2025

Type: article

Abstract: 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.

Source: Architectural Engineering and Design Management

DOI: 10.1080/17452007.2025.2471078

Authors: Honghong Song, Gang Yang, Haijiang Li, Annan Jiang, Xiaofeng Zhu

Institutions: Dalian Maritime University, Cardiff University

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Funders: Cardiff University, China Scholarship Council