Automating compliance checks of structural components - Demonstration Case in UK
Автор: ACCORD Project
Загружено: 2025-05-09
Просмотров: 71
Описание:
This training material presents the UK demonstration case from the ACCORD project, focusing on automating compliance checking for structural components in modular steel housing. The approach integrates semantic web technologies, Building Information Modeling (BIM), and Finite Element Analysis (FEA) to verify structural integrity against Eurocode standards. The demonstration showcases a workflow that combines BIM-based inputs with open-source FEA tools, enabling automated compliance verification through a web-based interface.
Target group:
This training material targets Structural engineers, BIM professionals, Modular construction manufacturers, Regulatory bodies, and building control authorities, Researchers in construction informatics and digital compliance.
Learning objectives:
Knowledge of the workflow from BIM model validation to automated compliance reporting
Understanding the approach for integration of semantic web technologies with BIM and FEA for automated compliance checking.
Awareness of the potential for scalability and adaptability of the approach to other regulatory domains and construction methods.
Authors:
Dr. Ioannis Christovasilis, Aether Engineering
Dr. Lorenzo Riparbelli, Aether Engineering
Dr. Panagiotis Patlakas, Birmingham City University
Prof. Franco Cheung, Birmingham City University
Supporting materials:
Check the supporting materials below at this zenodo link: https://zenodo.org/records/15374643
ACCORD is a Horizon Europe project (2022-2025) that focuses on automating the building permit and compliance processes using BIM and other data sources. ACCORD develops a Semantic Framework that will be demonstrated in five real-life construction projects around Europe: Finland, Estonia, Germany, the UK and Spain. The framework includes semantic interoperability, a rule formalisation tool and integrated micro-services for building permit and compliance checking.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101056973.
All rights reserved. Any duplication or use of objects such as diagrams in other electronic or printed publications is not permitted without the author’s agreement.
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