Automated code compliance checking research based on BIM and knowledge graph

Peng, Junlong; Liu, Xiangjun

doi:10.1038/s41598-023-34342-1

Cited by 8 publications

(3 citation statements)

References 28 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compliance checking; model optimization IFC file; BIM model; design specification [24,28,32,40,57,68,76,77,[83][84][85][86][87]92,94,97,100,115,117,118,120,140,147,151,152,157]…”

Section: Design Phasementioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

View full text Add to dashboard Cite

Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

show abstract

“…Compliance checking; model optimization IFC file; BIM model; design specification [24,28,32,40,57,68,76,77,[83][84][85][86][87]92,94,97,100,115,117,118,120,140,147,151,152,157]…”

Section: Design Phasementioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Automation in the design stage using BIM and knowledge graphs transforms the construction industry, allowing automated code compliance checking [98], which is a pivotal driver of BIM-based automatic design review. In the structural engineering realm, reliance on 2D building plans for manual compliance checks with building regulations is time consuming and error prone [146].…”

Section: Qualitative Content Analysismentioning

confidence: 99%

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Afzal,

Li,

Ayyub

et al. 2023

Sustainability

View full text Add to dashboard Cite

Structural design optimization (SDO) plays a pivotal role in enhancing various aspects of construction projects, including design quality, cost efficiency, safety, and structural reliability. Recent endeavors in academia and industry have sought to harness the potential of building information modeling (BIM) and optimization algorithms to optimize SDO and improve design outcomes. This review paper aims to synthesize these efforts, shedding light on how SDO contributes to project coordination. Furthermore, the integration of sustainability considerations and the application of innovative technologies and optimization algorithms in SDO necessitate more interactive early stage collaboration among project stakeholders. This study offers a comprehensive exploration of contemporary research in integrated SDO employing BIM and optimization algorithms. It commences with an exploratory investigation, employing both qualitative and quantitative analysis techniques following the PRISMA systematic review methodology. Subsequently, an open-ended opinion survey was conducted among construction industry professionals in Europe. This survey yields valuable insights into the coordination challenges and potential solutions arising from technological shifts and interoperability concerns associated with the widespread implementation of SDO. These preliminary steps of systematic review and industry survey furnish a robust foundation of knowledge, enabling the proposal of an intelligent framework for automating early stage sustainable structural design optimization (ESSDO) within the construction sector. The ESSDO framework addresses the challenges of fragmented collaboration between architects and structural engineers. This proposed framework seamlessly integrates with the BIM platform, i.e., Autodesk Revit for architects. It extracts crucial architectural data and transfers it to the structural design and analysis platform, i.e., Autodesk Robot Structural Analysis (RSA), for structural engineers via the visual programming tool Dynamo. Once the optimization occurs, optimal outcomes are visualized within BIM environments. This visualization elevates interactive collaborations between architects and engineers, facilitating automation throughout the workflow and smoother information exchange.

show abstract

“…Zhong et al [17] proposed a hybrid deep neural network for the automatic extraction of construction constraints. Peng and Liu [20] applied natural language processing technology to transform the specifications of drawings into a machine-understandable knowledge graph pattern using BIM technology. However, data extraction from textual documents remains a challenging task, requiring heavy feature engineering expertise, which also pertains to the use of composite structures' specifications in the BIM environment.…”

mentioning

confidence: 99%

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Szalai,

Ajtayné Károlyfi

2024

Buildings

View full text Add to dashboard Cite

The proper selection and planning of building materials are crucial tasks in architectural design, as they fundamentally impact the functioning of the structure. In traditional design processes, this information is recorded in text form, typically using word processing software. However, this approach hinders the integration with modern, data-driven design methods and is incompatible with the increasingly popular building information modeling (BIM) processes. To address this, two new methods have been developed: one database-like method in the form of an Excel spreadsheet and the other as a dedicated web application. This article introduces and compares these methods based on pilot projects conducted by university students and an expert. Based on the results of the study conducted among students and expert, the database-like method proves to be the fastest. For students, creating a composite structure took an average of 14–20 min, while for experts, it took an average of 1.2 min. According to the evaluation of participants, the traditional method does not facilitate automatic communication with BIM, while both the database and web solutions promote it. The web-based solution, with its dedicated layout and functionality, offers additional advantages in this regard. The research underscores the importance of structured data in BIM and proposes new methods to streamline composite documentation processes during the design phase.

show abstract

Automated code compliance checking research based on BIM and knowledge graph

Cited by 8 publications

References 28 publications

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Contact Info

Product

Resources

About