Search Results (89)

Classification of BIM objects is critical for enhancing information interoperability and standardization within construction projects; however, research on automated BIM object classification based on standardized classification systems remains limited. Therefore, this study proposes an automated method to classify BIM objects using IFC data under the Uniclass system, aiming to enhance standardization, semantic clarity, and practical applicability. The proposed method first assigns Uniclass codes to 8715 BIM objects, then extracts 13 types of IFC-derived feature variables—including semantic, spatial, and dimensional information, and uses 2 categories of Uniclass coding information (EF and Ss tables) as classification labels, each comprising 11 and 17 classes, respectively. A Random Forest model with 100 decision trees and 10-fold cross-validation is then employed to perform automatic classification. Experimental results demonstrate that the proposed method achieves classification accuracies of 1.00 and 0.99 for BIM objects under the Elements/Functions and Systems classification tasks. This study demonstrates that accurate and fine-grained classification of BIM objects can be achieved using only low-LOD IFC data, thereby contributing to standardized information structuring and facilitating intelligent model management during the early design phase. Full article

The Industry Foundation Class (IFC)-based sensor monitoring information expression mechanism is discussed, and an IFC-based tunnel entity definition and sensor monitoring information expansion method are proposed. Based on the existing IFC standards, by introducing the description dimensions of the tunnel’s spatial and geometric structure, the definition of IFC tunnel entities is creatively supplemented. For the first time, the expansion of IFCs in the field of tunnels is achieved, significantly expanding the boundaries of IFCs in complex underground engineering applications. The IFC-based tunnel monitoring information model is constructed using IfcSensor as the sensor entity and extending the sensor entity attribute set. Aiming at the problems of complicated tunnel monitoring data and difficult storage, this paper studies the tunnel monitoring information integration and visual early warning method based on IFCs. A Building Information Modeling (BIM)-based monitoring information integration system is developed, and the engineering application is carried out with the Jianyuan–Kaiyuan Road tunnel project in Xi‘an as a demonstration case. The advantages of BIM technology in a model visualization application are verified, and the risk perception and visual warning of tunnel construction are realized. Full article

The demand for interoperable, lifecycle-oriented data exchange in the port and waterway sector is intensifying amid global digital transformation and infrastructure modernisation. Traditional Building Information Modelling (BIM) practices often fail to capture the domain-specific complexity and multidisciplinary collaboration required in maritime infrastructure. This paper critically evaluates the IFC 4.3 schema as a foundational standard for openBIM-based integration in this sector, offering a semantic alignment framework designed for the planning, design, and operational phases of port projects. Rather than proposing schema extensions, the framework interprets existing IFC constructs to model port-specific assets while supporting environmental and geospatial integration. Two case studies, a master planning project for a shipyard and a design coordination project for a ship lock complex, demonstrate the schema’s capability to facilitate federated modelling, reduce semantic discrepancies, and enable seamless data exchange across disciplines and software platforms. The research delivers actionable implementation strategies for practitioners, identifies technical limitations in current toolchains, and outlines pathways for advancing standardisation efforts. It further contributes to the evolving discourse on digital twins, GIS-BIM convergence, and semantic enrichment in infrastructure modelling. This work provides a scalable, standards-based roadmap to improve interoperability and enhance the digital maturity of port and waterway infrastructure. Full article

This study proposes a novel framework integrating Building Information Modeling (BIM) and Geographic Information Systems (GIS) with real-time crowd analytics from Closed-Circuit Television (CCTV) for quantitative walkability assessment. The framework extends open data standards (IFC and CityGML) to model infrastructural and pedestrian flow attributes comprehensively. A walkability scoring mechanism quantifies route quality based on accessibility, efficiency, and physical comfort, differentiating among pedestrian groups, such as individuals sensitive to weather conditions or carrying belongings. Implemented at the Hong Kong University of Science and Technology (HKUST), results indicate that the framework effectively captures variations in walkability scores due to directional differences (uphill vs. downhill), crowd conditions, and operational constraints like facility closures. Statistical tests confirm significant differences in walking costs across these scenarios with variations of up to 30%, demonstrating the framework’s robustness and practical utility for real-time, human-centric urban infrastructure planning. Full article

Pharmacological relevance: Ethnic people residing in the Chittagong Hill Tracts (CHTs) of Bangladesh use Pouzolzia sanguinea to alleviate flatulence, for menstruation, inflammation, insomnia, and analgesia. However, there is no scientific evidence regarding the bioactivity of these plants. Aim: This study aimed to isolate bioactive fractional compounds from Pouzolzia sanguinea (IFCPS) crude extract to assess the anti-inflammatory, analgesic, and anxiolytic activities. Materials and Methods: Preparative TLC-bioautography and silica gel two-stage column chromatography were used to isolate bioactive fractional compounds from P. sanguinea methanol crude extracts. The anti-inflammatory, analgesic, and anxiolytic activities of extracts and IFCPS were studied by inhibiting protein denaturation, acetic acid-induced writhing, Eddy’s hot plate, field cross, and hole cross methods. Results: The dried crude extract’s chemical analysis revealed alkaloids, flavonoids, terpenoids, saponins, vitamin C, and tannins. Nine single isolated fractional compounds (IFC₁PS to IFC₉PS) were isolated through TLC. Among these, IFC₂PS exhibited (p ˂ 0.01) the most potent anti-inflammatory activity in the inhibition of protein denaturation studies (70.51%), which was slightly lower than acetyl salicylic acid (82.29%), at160 µg/mL. This inhibitory effect occurred in a dose-dependent manner. IFC₂PS exhibited the most potent peripheral analgesic and moderate central analgesic effects compared to the standard. In contrast, IFC₁PS showed moderate effects in both areas. IFC₈PS showed superior anxiolytic activities compared to crude extracts and other IFCPS. Conclusions: Out of the nine fractional compounds isolated, the IFC₂PS reduced pain and inflammation, whilst IFC₈PS exhibited anxiolytic activities. This is the first comprehensive study demonstrating the anti-inflammatory, analgesic, and anxiolytic effects of crude extracts and isolated fractional compounds from the whole plant of P. sanguinea, which may have immediate experimental and clinical applications. Full article

Integrating building information modeling (BIM) with Internet of things (IoT) technologies significantly enhances facility management (FM) by enabling advanced real-time monitoring of indoor environmental quality (IEQ). However, technical complexity, proprietary limitations, high software costs, and unclear long-term benefits hinder practical adoption. This study suggests a way to combine BIM and IoT using open standards like IFC and JSON, simple programming tools like Node-RED, and secure cloud services. A case study of a six-story office building showed that real-time IEQ sensor data can be combined with organized BIM information, helping to make better decisions about maintaining, replacing, or upgrading heating, ventilation, and air conditioning (HVAC) systems. This integration offers essential data needed for using advanced analysis techniques, specifically tackling issues with compatibility, ease of use, and organizational challenges, which is especially advantageous for small-to-medium-sized office buildings. Nevertheless, this study faced limitations due to restricted real-time data access from existing building management systems and preliminary predictive analytic capabilities, highlighting a need for improved direct data integration and robust analytical methods in future implementations. Full article

Interoperability between digital models in the manufacturing and AEC domains is a critical issue in the building design of complex systems. Despite the adoption of well-established standards such as STEP (STandard for the Exchange of Product data, ISO 10303-21) for the industrial domain and IFC (Industry Foundation Classes, ISO 16739-1) for the construction domain, communication between these domains is still limited due to differences in conceptual models, levels of detail, and application purposes. Existing solutions for conversion between these formats are few, often proprietary, and not always suitable to ensure full semantic integration in BIM (Building Information Modeling) flows. This study proposes a methodological framework for structured conversion from STEP to IFC-SPF (STEP Physical File), based on information and geometric simplification and data enrichment. The process includes the elimination of irrelevant components, simplification of geometries, merging assemblies, and integration of data useful to the building context. The experimental implementation, carried out using the Bonsai extension for Blender, demonstrates a substantial reduction in geometric complexity and computational load, while maintaining data consistency required for integration into BIM processes. This approach emerges as a scalable, affordable, and sustainable solution for interoperability between industrial and civil models, even in professional environments lacking advanced software development skills. Full article

Building information modeling (BIM) has revolutionized integrated planning by optimizing costs, schedule, and material use. However, building energy modeling (BEM) remains underutilized in early design stages due to interoperability challenges between BIM and BEM tools. This study addresses these challenges by exploring standardized exchange requirements and introducing a novel toolchain that bridges BIM and BEM workflows. In the BIM2IndiLight project, over 400 standardized properties for daylighting, artificial lighting, and façade systems were validated, revealing the advantages and limitations of parameter standardization. Building on these insights, the BIM2BEM-Flow project developed a three-step toolchain that efficiently manages project- and company-specific properties, defines mapping rules, and integrates parameters via a BIM plugin for validated IFC export. The results demonstrate that combining standardized properties with a flexible, workflow-driven toolchain significantly enhances data exchange and interoperability between BIM and BEM. This integrated approach supports early-stage energy performance optimization and offers a promising pathway toward more efficient design processes in the AECO industry. Full article

Taiwan has been actively advancing offshore wind energy, with significant progress in deep-sea and large-scale turbine development. However, this growth poses challenges to coastal fishery communities, particularly regarding the protection of fishery rights and livelihoods. This study employs the Life Cycle Sustainability Assessment (LCSA) framework to evaluate the impact of offshore wind farm (OWF) on fishery rights in Taiwan. Through an extensive literature review, we identify key indicators influencing fishery rights within the OWF context. To ensure a comprehensive analysis, expert surveys from diverse fields provide additional insights into these impacts. By aligning our findings with international frameworks, the International Finance Corporation (IFC) Performance Standards (PS) and the Equator Principles (EP), this research underscores the significance of integrating both local concerns and global standards in OWF development. In the lifecycle of long-term, large-scale OWF projects, PS1 of the IFC PS is the most widely applicable standard, whereas P2, P4, P5 and P9 of the EP plays a central role in ensuring compliance and operational efficiency. This study uniquely integrates local fishery rights into global frameworks, bridging regional socio-economic concerns with international sustainability standards—a novel approach to balancing offshore wind development with community interests. Ultimately, this research emphasizes the importance of balancing renewable energy advancement with the preservation of fishery rights. Full article

Although HBIM (Historical Building Information Modeling) excels in geometric data acquisition and modeling within Scan-to-BIM (Building Information Modeling) workflows, its application in digital documentation faces persistent challenges, such as balancing precision and efficiency, ambiguous information structures, and the absence of standardized protocols. To address these issues, this study refines key steps from the systematic Scan-to-BIM process and proposes a documentation-oriented HBIM workflow. The workflow is designed to tackle data complexity and semantic alignment challenges through detailed strategic planning, standard data collection, efficient geometric modeling, and ontology-based information integration. Validated in the Valentino Castle’s north wing digital archiving project, the proposed framework emphasizes archival management and standardization, reducing reliance on high-precision point cloud data and complex geometric modeling. Instead, it adopts low-precision geometric models as information storage containers, employing standardized information structures to manage and transfer heterogeneous data. Key contributions include the following: (1) establishing a requirements-driven and model-level-based framework for standardized project management; (2) introducing a component alignment concept to harmonize IFC (Industry Foundation Classes) standards and traditional terminologies; and (3) developing a four-level information structure to enhance HBIM parameter and database management. The workflow significantly reduces data acquisition and modeling time while offering a replicable methodology for heritage documentation, promoting cross-disciplinary collaboration and standardization in digital preservation practices. Full article

In the realm of sustainable construction, Life Cycle Assessment (LCA) plays a key role as a tool for quantifying the environmental impacts of building materials and products. The integration of LCA and Building Information Modeling (BIM) makes it possible to evaluate the environmental performance of buildings at the design stage. This integration can help to improve the LCA process for buildings thanks to the potential for automation and interoperability. The goal of this study is to establish a BIM-based LCA workflow using the Industry Foundation Classes (IFC) open file format. The interoperability of BIM data exchange is achieved by applying IFC. The steps of the assessment process are described in accordance with the LCA phases outlined in the ISO 14040 standard. The impact assessment and results interpretation phases are automated by means of a program code for IFC file processing. The proposed BIM-based LCA is validated for a case study of a BIM model constructed for a three-story educational building. The GWP of the building materials and products of envelope and load-bearing structures at the A1–A3 life cycle stages are calculated for the purpose of proposed workflow testing. The resulting workflow allows for the calculation of negative environmental impacts to be agile, depending on the goal and scope set. Full article

The era of openBIM is ongoing, and the open standards IDS (Information Delivery Specification) and bSDD (BuildingSMART Data Dictionary) are significantly impacting the automation of information exchange and verification in projects, using predefined data, enabling quick updates and combining it with other data. IDS and bSDD complement the widely used open IFC (Industry Foundation Classes) format, which solves the issue of purchasing both the appropriate hardware and software to work with native files from different sources. As a result, external assignments or internal tasks have the potential to precisely define the desired product, speeding up the entire process carried out according to the BIM (Building Information Modeling) methodology, reducing the number of questions about ambiguous requirements, and eliminating the need for continuous feedback on the model. Both files can be used on the developer’s side as an attachment to BIM documents, as well as on the construction site or during the bidding process. Digital IDS and bSDD files can be interpreted not only by humans but also by machines, bringing added value and usability. An identified research gap is the lack of a clear procedure for applying the mentioned standards, and thus, the common problem of purchasing software to check the quality of the model for information content. This article demonstrates the possibility of creating IDS and bSDD files in tools based on filling in specific fields and their interrelation, as well as their practical use in the process of verifying the information content of BIM models. By adopting open standards, teams can improve communication, increase productivity, and ensure continuity in data exchanges. Full article

Building information modeling (BIM) has proven to be a valuable technology in the fields of architecture, construction management, and maintenance management. However, its full implementation in structural engineering remains unfulfilled due to the persistent use of outdated design methods. Insufficient automation in the design process could lead to structural defects, construction rework, and structural clashes, each of which can have significant financial implications. Given the inherent complexity of large-scale construction projects, manual structural design and detailing are challenging tasks and are prone to human errors. This paper presents a novel BIM framework that leverages BIM, Industry Foundation Classes (IFC), Python scripting, the IfcOpenShell library, and Octave programming to automate the design of reinforced concrete (RC) slabs, benefiting design professionals and contractors by integrating automated processes into project workflows. The framework achieved a 40% reduction in design time and a 25% decrease in human errors, as demonstrated through case studies. In this study, a 3D structural model in BIM software is firstly created, extracting slab geometrical data that are linked to Microsoft (MS) Excel/.csv and Octave spreadsheets via Python and IfcOpenShell. Midspan and end span moment coefficients and floor perimeter data following Indian standards are then gathered in Octave, and this information is further processed with Python scripts. Octave programming is used to determine the most accurate, reliable, and economical design for the slab and its detailing. This design information is then pushed back to BIM software via FreeCAD using Python coding, which can be used to develop bar bending scheduling and 2D drawings of the reinforcement details. The proposed framework is validated through case studies, demonstrating its effectiveness in reducing design time, minimizing human errors, and improving overall project efficiency. The core finding of this research is an automated approach that offers a cost-effective and accurate solution to the limitations of traditional RC slab design, addressing structural errors and reducing rework through seamless BIM integration. This research presents a novel contribution to the integration of structural design, construction processes, and operational aspects within BIM. The findings highlight the potential for further advancements in BIM adoption, particularly in addressing the lag in structural engineering applications compared to architecture. Full article

BIM (building information modeling) is widely recognized for enhancing the efficiency and precision of building energy modeling (BEM), primarily by reducing model development time and improving model accuracy. This paper presents a novel framework leveraging “openBIM” to standardize and harmonize BIM-driven solutions for energy simulations, facilitating comprehensive operational carbon impact assessments. Unlike existing approaches, our framework uniquely integrates information delivery specifications (IDS) with openBIM standards to define the minimum data requirements within the IFC schema, tailored to various levels of development (LOD). This innovation ensures consistent data exchange and interoperability across diverse energy modeling and simulation tools, addressing common challenges of data fragmentation and inaccuracy in operational carbon assessments. By advancing the current state of the art, the proposed framework empowers energy modelers, LCA analysts, and asset managers to streamline IDS implementation, fostering more efficient and reliable construction industry practices. This research thus marks a significant step towards achieving more sustainable building projects through enhanced data-driven insights. Full article

Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across different lifecycle phases and effectively representing inspection results. While numerous studies have focused on identifying, analyzing, repairing, and preventing defects, organizing and integrating this information systematically for future use remains unaddressed. This paper introduces the Ontology for Concrete Surface Defects (OCSD), a unified knowledge model that enables stakeholders to access information systematically. OCSD aims to enhance future asset management systems by providing comprehensive knowledge about concrete surface defects, encompassing inspection, diagnosis, 3R (Repair, Rehabilitation, and Replacement), and defect concepts. Although the integration with Building Information Modeling (BIM) standards like the Industry Foundation Classes (IFC) is not undertaken in this study, OCSD provides a foundational framework that can facilitate such mappings in subsequent studies or applications. The methodology includes reviewing existing literature to define relevant concepts, outlining steps for developing OCSD, creating its basic components, and evaluating its effectiveness. The semantic representation of OCSD was assessed through a survey, confirming its ability to clarify concepts and relationships in this field. Full article