IFC-Based Framework to Move beyond Individual Building Elements toward Configuring a Higher Level of Prefabrication

Khalili, A.; Chua, David K. H.

doi:10.1061/(asce)cp.1943-5487.0000203

Cited by 41 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the contrary, modular construction represents a higher level of prefabrication where building elements are manufactured into modules. Configuring a higher level of prefabrication can reduce production, transportation, and installation cost [2]. However, Lu et al [24] reported that a higher degree of prefabrication does not guarantee a better construction solution.…”

Section: Selection Of the Osc Systemmentioning

confidence: 99%

“…Building panelization herein refers to the plan of dividing the walls of a building into manufacturing panels. For example, some practitioners usually take a specific length as a standardized size in determining wall panels [2]. Others may determine building panelization (e.g., panel length and layout) and panel stacks for minimizing the number of stacks and maximizing stack length [3,4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design for Manufacturing and Assembly: A BIM‐Enabled Generative Framework for Building Panelization Design

Liu

Zhang

Lei

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

Offsite construction (OSC) is attracting increasing attention from both industry and academia due to its benefits, such as improved productivity and quality, as well as reduced waste. However, the current building panelization design in OSC is a time-consuming and experience-based manual process, and the generated panelization design may result in unbalanced manufacturing processes. One reason is that the prefabrication of building components involves a highly variable product mix and there is a lack of a computational framework to evaluate panelization design. The objective of this research is, thus, to propose a BIM-based generative framework that automatically generates the design of production components with the aim of improving production productivity. This framework consists of a building information extraction module, a generative design algorithm, and a simulation-based performance evaluation model. The building information extraction module is designed to extract building component information from a BIM model and classify building components into different production groups in accordance with functionalities and materials. The generative design algorithm is then developed to formulate panelization design alternatives in consideration of the structural, production, and logistics constraints. On this basis, the generated panelization designs are quantitatively assessed by a simulation-based evaluation model in terms of productivity. A case study was used to verify and validate the framework. This research contributes to the body of knowledge by a computational framework of building panelization design, which leverages the generative design algorithm and BIM-simulation integration for optimized panelization design.

show abstract

Section: Selection Of the Osc Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design for Manufacturing and Assembly: A BIM‐Enabled Generative Framework for Building Panelization Design

Liu

Zhang

Lei

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Graph-based modeling can support the detection of modules automatically or semi-automatically. Khalili and Chua developed a graph-based modeling approach to group single precast elements into higher-level prefabrication assemblies (Khalili and Chua, 2013). They searched for all subgraphs exhaustively and filtered out the feasible configurations by constructability rules.…”

Section: Graph Modeling In Construction Projectsmentioning

confidence: 99%

Module library development via graph mining

Cao¹,

Hall²

2021

Computing in Construction

View full text Add to dashboard Cite

The use of prefabricated modules can benefit the construction industry with the economy of scales and production efficiency. However, the existing approach to develop module libraries is project-based, lacking the potential to reuse and manage in future projects. By taking the repeatability and manufacturability into account, this paper proposes a graph-based framework to identify possible modules automatically from multiple projects by frequent pattern mining. The results show that the repeated patterns share a degree of standardization and can be considered as module candidates. Finally, the framework is implemented as add-ons in the BIM environment to support module lifecycle management.

show abstract

“…To reduce the production, transportation, and installation costs, the total number of components must be controlled; this requires an IFC-based system to configure the grouping of prefabricated components. Essentially, the framework developed by Khalili et al [25] was designed to extract the topological relationships and geometric properties of building elements from the IFC file. Similarly, Zhang et al [26] described an ontology-based partial model extraction approach by applying semantic technology and used the ontology-augmented model index to successfully extract a portion of the building information model from the complete IFC model.…”

Section: Ifc Extraction and Automated 3d Model Splitmentioning

confidence: 99%

Automated Optimization for the Production Scheduling of Prefabricated Elements Based on the Genetic Algorithm and IFC Object Segmentation

Wang

Rao

2020

Processes

View full text Add to dashboard Cite

Background: With the ever-increasing availability of data and a higher level of automation and simulation, production scheduling in the factory for prefabrication can no longer be seen as an autonomous solution. Concepts such as building information modelling (BIM), graphic techniques, databases, and interface development as well as heightened emphasis on overall-process optimization topics increase the pressure to connect to and interact with interrelated tasks and procedures. Methods: The automated optimization framework detailed in this study intended to generate optimal schedule of prefabricated component production based on the manufacturing process model and genetic algorithm method. An extraction and segmentation approach based on industry foundation classes (IFC) for prefabricated component production is discussed. During this process, the position and geometric information of the prefabricated components are adjusted and output in the extracted IFC file. Then, the production process and the completion time of each process have been examined and simulated with the genetic algorithm. Lastly, the automated optimization solution can be formed by the linking production scheduling database and the computational environment. Results: This shows that the implementation of the automated optimization framework for the production scheduling of the prefabricated elements improves the operability and accuracy of the production process. Conclusions: Based on the integration technique discussed above, the data transmission and integration in the mating application program is achieved by linking the Python-based application, the Structured Query Language (SQL) database and the computational environment. The implementation of the automated optimization framework model enables BIM models to play a better foundational role in patching up the technical gaps between prefabricated building designers and element producers.

show abstract

IFC-Based Framework to Move beyond Individual Building Elements toward Configuring a Higher Level of Prefabrication

Cited by 41 publications

References 10 publications

Design for Manufacturing and Assembly: A BIM‐Enabled Generative Framework for Building Panelization Design

Design for Manufacturing and Assembly: A BIM‐Enabled Generative Framework for Building Panelization Design

Module library development via graph mining

Automated Optimization for the Production Scheduling of Prefabricated Elements Based on the Genetic Algorithm and IFC Object Segmentation

Contact Info

Product

Resources

About