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1. Automated BIM Object Classification to Support BIM Interoperability

   https://doi.org/10.1061/9780784481301.070  

   Wu, Jin; Zhang, Jiansong (March 2018, Construction Research Congress 2018: Sustainable Design and Construction and Education)

   The ISO-registered industry foundation classes (IFC) data standard can facilitate building information modeling (BIM) interoperability by allowing a “one-to-many” software information flow pattern in the architecture, engineering, and construction (AEC) industry instead of the more complex “many-to-many” information flow pattern. However, even a full adoption of IFC cannot guarantee a seamless BIM interoperability, because of the flexibility allowed in adopting/using the IFC standard. Object classification in BIM is an important part of BIM interoperability. As part of an initial effort to pursue seamless BIM interoperability, the authors propose to use intrinsic geometric representations of IFC objects and geometric theorems to support the automated BIM object classification. A six-step method was proposed to develop automated IFC object classification algorithms using a data-driven approach. The method was preliminarily tested on classifying IFC objects into a cone frustum shape. The developed algorithm was successfully tested on three unseen bridge data. This shows an early promise of the proposed method to support error-free BIM object classification. 

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2. BIM Interoperability for Structural Analysis

   https://doi.org/10.1061/9780784481264.046  

   Ren, Ran; Zhang, Jiansong; Dib, Hazar Nicholas (March 2018, Construction Research Congress 2018: Construction Information Technology)

   Building information modeling (BIM) is facilitating a procedural change for the architecture, engineering, and construction (AEC) industry to share information in all the phases of the life cycle of a building. It possesses great advantages in designing, analyzing, and documenting all physical and functional information of a building and construction project. Structural analysis is an integral part of the life cycle phases of building construction projects. The information needed for structural analysis originates from the architectural model, but the architectural model can be created without much consideration of structural analysis. Software tools used by architects and structural engineers are usually different and sustain information inconsistency and or missing information leading to software interoperability problems. As the first step towards addressing this issue, in this paper, the authors conducted a preliminary literature review in order to identify topics and trends on the BIM interoperability problem with a focus on the structural analysis domain, from both the theoretic perspective and the application perspective. Structural analysis is performed and discussed in the following sections to demonstrate interoperability problems and propose possible solutions. 

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3. Building Information Modelling (BIM) data repository with labels

   https://doi.org/10.4231/60V2-PJ72  

   Zhang, Jiansong; Wu, Jin (January 2019, Purdue University Research Repository)

   The dataset contains five models with extracted elements for each model. The elements are manually labeled by researchers with construction/civil engineering backgrounds based on discussion and majority vote. 

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4. BIM Driven Retrofitting Design Evaluation of Building Facades

   https://doi.org/10.1145/3565970.3567688  

   Sermarini, John; Michlowitz, Robert A.; LaViola, Joseph J.; Walters, Lori C.; Azevedo, Roger; Kider Jr., Joseph T. (December 2022, SUI '22: Proceedings of the 2022 ACM Symposium on Spatial User Interaction)

   Building facades are components that shape a structure’s daylighting, energy use, and view factors. This paper presents an approach that enables designers to understand the impact that different facade designs will have over time and space in the built environment through a BIM-enabled augmented reality system. The system permits the examination of a range of facade retrofit scenarios and visualizes the daylighting simulations and aesthetics of a structure while retaining function and comfort. A focus of our study was to measure how participants make decisions within the multiobjective decision space designers often face when buildings undergo retrofitting. This process often requires designers to search for a set of alternatives that represent the optimal solution. We analyze the decision-making process of forty-four subjects to determine how they explore design choices. Our results indicate the feasibility of using BIM-enabled AR to improve how designers make informed decisions. 

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5. Information Exchange for Supporting BIM to Robotic Construction

   https://doi.org/9780784483961  

   McClymonds, Austin; Asadi, Somayeh; Wagner, Alan; Leicht, Robert (September 2022, ASCE Construction Research Congress)

   In the past, the construction industry has been slow to adopt new technology. There has been a rapid expansion of technologies, often referred to as Industry 4.0, to aid in the use of automation. One challenge paralleling these new technologies is implementing how a robot interprets design information, specifically information from a Building Information Model (BIM). This paper presents a method for identifying and transforming information from BIM to support robotic material placement on the construction site. This research will include a review of what information can be directly extracted from the model and what must be supplemented to the model for the robot to perform defined tasks within a construction site. The construction sites’ dynamic nature poses multiple challenges that must be addressed for the information extracted from a model to be used by a robot in daily construction operations. This research also identifies barriers and limitations based upon current practice, such as different levels of development or model content as well as needed precision within the information provided for a mobile robot to complete a defined task. 

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