Building Information Modeling Technology Research Articles

A Brief Discussion on Sustainable Application Strategies of BIM Technology in Underground Space Development

With the acceleration of urbanization, the development of underground space has become an important way to alleviate the shortage of urban land and improve the comprehensive carrying capacity of the city. However, the development of underground space faces many challenges, such as technical difficulty, high cost and environmental impact. With its innovative application in engineering design, construction and management, building information modeling (BIM) technology provides a new solution for the efficient, safe and environmentally friendly development of underground space. The purpose of this study is to explore the application strategy of BIM technology in the development of underground space, and to analyze how it can promote the sustainability of underground space development.Firstly , this paper analyzes the current situation, challenges and the importance of sustainability of underground space development through literature review, and summarizes the development and application of BIM technology. Then, the principle and function of BIM technology are studied, and its application potential and strategy in the development of underground space are discussed. Through case analysis, the application of BIM technology in different stages of planning and design, construction management and operation and maintenance management is discussed in depth, and the application strategy and evaluation framework to promote the sustainability of underground space development are put forward. Finally, the , which provides a scientific basis for the decision-making of underground space development, and puts forward a series of practical suggestions for the application of BIM technology in underground space development. Despite the limitations of the study, such as the limited number of cases and the lack of discussion on the deep application of BIM technology, this study provides a new perspective and method for the sustainability of underground space development, which has important theoretical and practical significance for urban planners and engineering circles.

Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings

The construction industry of Ukraine shall not only recover but also upgrade, enhance and reevaluate existing building projects. Further research raises two pertinent issues for Ukraine - retrofitting and reconstructing destroyed infrastructure. The study's priority objective is to restore damaged and ruined buildings rapidly. It may be achieved using the creation of recovery methods in Ukraine and countries in the post-conflict stage of development. The research involves creating technical specifications for the product of a new version of the automated construction management system, which provides working with the software complexes based on the BIM model. The system implies using Building Information Modeling (BIM) and Artificial Intelligence of Things (AIoT) to make organization of reconstruction faster, better and less costly. The research has been held to demonstrate the viability of the approach. In addition, we acquire a reduction of energy consumption and an increase in the lifespan of the building by choosing retrofitting methods. The efficacy of BIM and IoT technologies enables the integration of contemporary demands to diminish design time and costs. These technologies also optimise design solutions by assimilating knowledge from previous building and structure designs. Additionally, they offer essential information support for the entire investment project life cycle.

Application of BIM Technology in Structural Design of Prefabricated Building Based on Big Data Simulation Modeling Analysis

Aiming at the complex steel bar layout problem in prefabricated building, this research proposes a structural design method of prefabricated building based on big data simulation modeling building information modeling technology. It includes the reinforcement arrangement model based on agent path planning, the intelligent reinforcement arrangement of frame based on artificial potential field method and path optimization, and the modeling of Building information modeling. When analyzing the reinforcement arrangement effect of beam column joints in Prefabricated building, the calculation time of top corner joints is the shortest, 76.8 seconds, while that of middle layer joints is the longest, 141.7 seconds. In direction Y and direction X, differential evolution has the longest calculation time, 27s and 26.57s respectively, while particle swarm optimization algorithm has the shortest calculation time, 2.84s and 3.02s respectively. The algorithm designed through research is significantly superior to other algorithms in terms of computational time. In general, through building information modeling technology and big data simulation modeling, this study realized the collision free layout of rebar in beam column joints of prefabricated building. This improves the speed and efficiency of deepening design, and provides a new solution for structural design of prefabricated building.

Application Strategy of BIM Technology in the Forward Design of Bridges

Bridge engineering is highly specialized and has spatial characteristics, which puts forward higher requirements for design work. The advancement of information technology has provided ample tools to facilitate bridge design work, with building information modeling (BIM) technology being one of them. BIM technology ensures the efficiency and quality of the forward design of bridges, while also reducing construction costs. This article starts with defining the concept of BIM technology, followed by a discussion on its advantages in bridge design and application process, which serves as a reference for other bridge designers.

Volume and Cutting Optimization of Reinforcing Steel in Construction of a Satpol PP Building Project

The world of construction is very dependent on technology, especially in the era of the industrial revolution which demands efficiency and competitiveness. The use of BIM (Building Information Modeling) technology supported by Autodesk Revit software enables more effective and efficient project planning and implementation. One application of BIM is in planning reinforcing steel requirements. To overcome material waste which often occurs due to less than optimal cutting of reinforcing steel, material management with a bar bending schedule and the use of BIM is an important solution. In the Satpol PP Building Construction Project in Bantul Regency by PT Quinad Bahana Indonesia, this new method with software was applied to correct cutting of reinforcing steel, reduce waste and increase construction efficiency. This research method includes data collection, 3D BIM modeling, comparing work volume using Autodesk Revit and conventional. After getting the reinforcing steel volume from the Autodesk Revit software, continue by entering the volume data into the BIM to obtain optimal reinforcing steel cutting patterns. The research results show that the use of Autodesk Revit software for column and beam work results in an overall difference of 11%. The volume resulting from Revit quantity take-off is less than manual analysis. Based on waste level calculations, the average value of waste level is 0.97%. This proves that the BIM is effective in reducing material waste on construction projects. Apart from reducing material waste, the BIM is also able to optimize reinforcing steel cuts.

Modeling indoor thermal comfort in buildings using digital twin and machine learning

Digital Twin (DT) concept is used in different domains and industries, including the building industry, as it has physical and digital assets with the help of Building Information Modeling (BIM). Technologies and methodologies constantly enrich the building industry because the amount of data generated during different building stages is considerable and has a tremendous effect on the lifecycle of a building. Previous research underscores the importance of seamlessly exchanging information between physical and digital assets within a comprehensive framework, particularly emphasizing the integration of BIM data with various systems to enhance efficiency and prevent information loss. Despite advancements in technologies, challenges persist in optimizing methods for integrating BIM data into DT frameworks, including ensuring interoperability, scalability, and real-time monitor and control. This study addresses this research gap by proposing a comprehensive platform that integrates the DT concept with IoT and BIM technologies. The platform is developed in five main stages: 1) acquiring electronic data of the building from the laser scanner, 2) developing a Wi-Fi IoT module and BIM data for physical assets and digital replica, 3) constructing the DT elements of the platform, 4) performing data analysis 5) implementing thermal comfort prediction models. Two machine learning models (Facebook prophet, NeuralProphet) are implemented to predict thermal comfort. The best predictive model is identified by evaluating its error function using historical training data collected during facility operation. A case study demonstrates the practical application of the proposed framework. The case study involves a real building where the platform is implemented to monitor and control indoor environments. By utilizing predefined data in BIM models, the platform ensures data accuracy, consistency, and usability. The case outputs reveal that Neuralprophet provides good prediction results.

HVAC Design Optimization for Pharmaceutical Facilities with BIM and CFD

Building Information Modeling (BIM) has been widely used in the past decade to enhance the design quality of Heating, Ventilation, and Air Conditioning (HVAC) systems. However, in specialized areas such as pharmaceutical facilities, HVAC design has traditionally relied on Computer-Aided Design (CAD) drawings. This conventional approach does not allow for the simulation of temperature distribution or the verification of system efficiency, which may lead to design failures. To address these challenges in pharmaceutical facilities, this study proposed a BIM-based approach for optimizing HVAC design with Computational Fluid Dynamics (CFD). By employing CFD to simulate the dynamic airflow conditions of pharmaceutical clean rooms, the effectiveness of HVAC systems can be verified. A case study of a clean room HVAC design is presented to demonstrate the workflow. The results of the case study indicated that the pharmaceutical temperature requirements were met within 1 °C during the design optimization simulation, and there was a 95% match in the 72 h temperature mapping test during site validation. The results confirmed that using CFD with BIM not only successfully simulates the design intentions of indoor air quality but also suggests HVAC system optimization for the required clean room design. The findings of this paper contribute to the body of knowledge on overcoming the limitations of the traditional CAD-based HVAC design process and provide valuable insights on optimizing HVAC design with BIM and CFD technologies.

The effectiveness of BIM features application strategies for building refurbishment project performance improvement

Abstract This research presents a study that explores the effectiveness of different strategies for implementing Building Information Modelling (BIM) features in enhancing the performance of building refurbishment projects. The study adopts a combined quantitative and qualitative approach to measure the significance of BIM features in relation to building refurbishment project performance improvement. It aims to uncover the correlation between BIM feature application strategies and building refurbishment project performance and provides recommendations on utilizing BIM features to improve project outcomes. The study encompasses a comprehensive review of existing literature on BIM and building refurbishment projects, followed by a mixed-methods approach. This approach involves quantitative analysis of data from refurbishment projects that have implemented BIM, as well as qualitative analysis of expert interviews with industry professionals. The findings of the expert interviews shed light on the factors influencing the effectiveness of BIM in building refurbishment projects, such as the level of BIM adoption, the availability of skilled personnel, and the integration of BIM into project workflows. The research contributes valuable insights to enhance the understanding of BIM utilization in building refurbishment projects, offering guidance to practitioners and decision-makers in leveraging BIM technologies for such endeavourrs.

Building Energy Optimization using BIM: A Study on Institutional Building

Abstract: In many facets of the construction industry, including energy management to encourage the development of green buildings, Building Information Modelling (BIM) is one of the contemporary data information platforms and management technologies that is widely employed. The goal of this study was to optimize an institutional building's energy consumption by analyzing and evaluating its energy performance using BIM-provided capabilities. The Civil Engineering block of Sree Vidyanikethan Engineering College in Tirupati, was taken into consideration for the investigation. The 2D blueprint was obtained from the engineering department and BIM technologies were used to create the necessary building model. The Green Building Studio (GBS) tool and Autodesk Insight 360 were utilized to conduct an energy analysis and derive the energy usage figures. The structural elements that are contributing to the high energy demand, such as the area between windows and walls, the width of the chajja relative to the height of the window, etc., were identified, and the BIM model underwent the required alterations to optimize the energy consumption. Comparing the data obtained in the two aspects, it was found that there was a 30% reduction in energy costs and a roughly 29.76% drop in energy use.

Study on the Optimization and Expansion of the Architectural Design Process by BIM Technology

In the contemporary realm of architecture, Building Information Modeling (BIM) technology is gradually reshaping the holistic management of architectural design, construction, and operation with its distinctive advantages. Despite the widespread adoption of BIM technology, numerous challenges persist in its practical implementation, such as the prevalence of information silos and hindered collaborative workflows. These impediments constrain the further advancement of BIM technology, consequently jeopardizing the quality and efficiency of architectural projects. Confronted with this reality, there exists a pressing need to delve deeply into the optimization pathways of BIM technology in the architectural design process, aiming to devise effective remedial strategies. This article will embark from the current application status of BIM technology in architectural design, expounding upon the fundamental principles, scope of application, and optimization strategies of BIM technology. Through this analysis, it seeks to explore avenues for maximizing the utilization of BIM technology in optimizing architectural design processes, thereby enhancing the overall quality and efficiency of architectural projects. This study not only contributes to propelling technological innovation within the architecture industry but also furnishes novel perspectives and directions for subsequent related research endeavors.

Development and key technologies for architectural design and technical solutions of CIM platform: A review

The integration of building information modeling (BIM), geographic information systems (GIS), 5G, IOT, cloud computing, big data, artificial intelligence, and other technologies in urban management has become a new and rapidly developing trend in recent years. However, most of the existing research on the construction of city information modeling (CIM) platforms based on the integration of BIM and GIS technologies focuses on integration technologies, and there is a lack of theories, methods, and standards for further data analysis and mathematical modeling. This paper analyzes and summarizes the actual situation of the application of recent research papers in the BIM field and the application of CIM platform pilot projects, reviews the application of BIM and GIS technologies in smart cities, and discusses future trends. For example, the construction of a basic platform for smart cities requires the establishment of a three-dimensional visual CIM platform with functions such as the planning review, architectural design plan review, construction drawing review, completion acceptance filing. A smart city is built by analyzing the cyber security risks faced during the construction. The technical, management, and operational measures of the security system provide guidance and reference for the secure construction of smart cities. This involves promoting the reform of the construction work system driven by data resources obtained from government information, and the establishment a new digital government construction management system through the “separation of management and transportation.” These analyses highlight the evolution of the CIM platform construction. The results indicate that the use of key technology integration in the construction of a CIM platform requires a system theory that goes beyond integration technology and mathematical modeling methods for a detailed application. It involves analyzing the deep integration of key technologies and business processes in the CIM platform.

Integrating BIM technology in construction for effective knowledge management: case studies and methodological insights

Integrating Building Information Modeling (BIM) technology for effective knowledge management (KM)in the construction industry is a crucial aspect of modern construction. The construction industry is susceptible to losing its qualified and knowledgeable workers, and there are no certain plans to address this issue. The construction industry often relies on personal knowledge and experiences rather than certain analytical methods or textbook guidelines. Although various knowledge management approaches and researchers have given many perspectives on knowledge management, this study explores and compares previous management systems practices in the construction field. It investigates the implementation of BIM technologies and discusses the challenges, benefits, and potential strategies for enhancing knowledge-sharing and management processes. Knowledge management is furnished with significance through various decision-making processes, innovation, and constant learning that ends in progressing project delivery and collaboration among project teams. With regards to the implementation of the technology that involves building information modeling and knowledge management of construction projects, the analysis and comparison of some case studies that related to definite locations was conducted to discuss how cultural and development factors affect BIM involvement in construction projects. For concluding purposes, it emphasizes the importance of implementing BIM into each phase of projects not merely during the design and the construction operations but in all phases of project development. This research investigated novel ideas for improving (KM) and the application of (BIM) and also expressed that cultural and developmental characteristics have a noticeable influence on knowledge management systems based on BIM.

Application of microencapsulated phase change materials in prefabricated building projects based on building information modeling technology

Faced with the rapidly increasing urban population, there is a surge in demand for building construction, accompanied by an incessant rise in building energy consumption. To promote sustainable development and mitigate building energy consumption, this study proposes the utilization of microencapsulated phase change materials in prefabricated buildings through the integration of building information modeling. We prepare polymethyl methacrylate/n-eicosane/wood cellulose nanocrystal microcapsules using Pickering emulsion through the solvent evaporation method. The results showed that the material exhibits optimal comprehensive performance at a core–shell ratio of 2:1, with a melting enthalpy of 152.10 J/g and a coating rate of 60.27%. However, when the core–shell ratio increases to 2.5:1, significant performance degradation occurs due to phase change material leakage. The materials show excellent cycling performance in cold-hot cycling tests, maintaining their melting enthalpy value above 97% even after 100 cycles. Moreover, materials with a core–shell ratio of 2:1 exhibit good thermal stability up to high temperatures (160 °C). In conclusion, this study has great significance for advancing the progress of prefabricated buildings and sustainable buildings.

Impact of BIM and 3D printing technologies on production process and productivity of precast concrete in construction project

Precast concrete (PC) has emerged as a major contributor to this trend, particularly with regard to the construction of tall buildings. While advanced technologies such as Building Information Modelling (BIM) and 3D printing have the potential to increase productivity, their use in the PC production process remains limited. This study seeks to assess the practical implementation of BIM and 3D printing in PC production, as well as their effects on the production process and productivity. A qualitative approach involving benchmarking, observations, site documentation, and semi-structured interviews were conducted. According to the results, the integration of BIM and 3D printing in PC production may increases the precision and accuracy of the finalized elements. The findings showed that 3D-printed PC production could reduce production time by 24% to 53%, highlighting the productivity increases these technologies offer. However, structural strength, integration with MEP installations, and architectural elements must be addressed for widespread adoption.

Enhancing large-span structure design and maintenance through the synergy of CAD, BIM, and IoT-AI technologies

The integration of Computer-Aided Design (CAD), Building Information Modeling (BIM), and Internet of Things (IoT) with Artificial Intelligence (AI) represents a transformative shift in the architectural and engineering practices for large-span structures. This paper delves into the quantitative and qualitative enhancements brought about by these technologies, focusing on their pivotal roles in design precision, structural analysis, project management, and maintenance strategies. CAD's evolution from simple drafting to complex 3D modeling has significantly reduced design time and errors, while its integration with structural analysis software has improved load distribution accuracy and material cost efficiency. BIM's contribution to design, construction, and sustainability emphasizes optimized resource allocation and energy-efficient practices. Furthermore, IoT and AI's role in real-time monitoring and predictive maintenance underpins a proactive approach to structural health, ensuring longevity and safety. Through statistical analysis, mathematical modeling, and case studies, this paper highlights the synergistic impact of these technologies on reducing project timelines, enhancing collaboration, and fostering innovation in large-span structure engineering. The findings advocate for a multidisciplinary approach, combining engineering expertise with advanced computational tools to achieve superior outcomes in the construction and maintenance of large-span structures.

Optimizing infrastructure development through BIM: A comprehensive analysis of lifecycle benefits and applications

This comprehensive study delves into the multifaceted impacts of Building Information Modeling (BIM) across different phases of infrastructure projects, encompassing project planning and design, construction, as well as operations and maintenance. By offering a granular analysis of BIM's contributions to design efficiency, enhanced collaboration, sustainability considerations, improved project management, risk mitigation, quality control, asset management, lifecycle analysis, and space management and utilization, the paper presents quantifiable evidence of BIM's transformative potential. The findings underscore the substantial benefits of BIM in reducing project timeframes, minimizing material costs, enhancing operational efficiency, and contributing to sustainability goals. Through detailed quantitative analysis, this article illustrates how BIM technology facilitates a more integrated, efficient, and sustainable approach to infrastructure development, challenging traditional practices and fostering a new paradigm in construction and facility management.

The application of prefabricated BIM technology in the production and demolition stages of the whole building life cycle

With the development of engineering construction, the concept of building lifecycle management (BLM) is put forward. The building life cycle is a full cycle process starting from material and construction production, including multiple stages of planning and design, construction and transportation, operation and maintenance, as well as demolition and disposal. With the popularity of the concept of sustainable development, recycling instead of completely abandoning has become a trend. This coincides with the concept of the whole life cycle of a building. Prefabricated BIM (Building Information Modeling) is an important branch of BIM. It plays an important role in the construction of the whole life cycle of buildings due to its characteristics such as visualization, information sharing, and appropriate technology composite, especially in the production and demolition stages. Through qualitative analysis of the advantages of BIM technology and case analysis, this paper focuses on the important role played by BIM technology in the production and demolition stages. The application of BIM technology in construction animation simulation, site layout, and site planning is studied to effectively improve work efficiency and ensure construction quality. Besides, corresponding models and optimization of demolition methods are proposed based on different demolition needs. It can be concluded that in the production stage, BIM technology can be used for structural design, visual three-dimensional (3D) design, collaborative design, and optimization design, while in the demolition stage, BIM technology can be used for space management.

A study on the application of building information modeling technology in geotechnical engineering

Building information modeling (BIM) technology has brought significant changes to the construction industry, but its application in geotechnical engineering is still in its early stages. Despite challenges, an increasing number of professionals recognize the potential of BIM in geotechnical engineering. This paper studies the application of BIM technology in geotechnical engineering, including an analysis of BIMs characteristics, advantages, and challenges. It can be concluded that while facing complex underground environments, data acquisition difficulties, and compromised model accuracy, the integration of geological and soil data requires tools and standards, and subsurface and surface interactions demand intricate simulations. However, through secondary development, functional optimization, and advancements in exploration techniques, BIM still holds promise in geotechnical engineering. It aids assistant engineers in understanding subterranean environments, refining foundational designs, predicting issues, and facilitating construction management. Despite present hurdles, the application of BIM in geotechnical engineering is anticipated to grow gradually with the progress of technology, bringing forth more advantages and transformation.

Construction safety management based on building information modeling technology

With the progression of society, urban construction has been rapidly advancing, yet the incidence of construction safety accidents has surged. In order to effectively prevent construction safety incidents, construction safety management has become increasingly significant. To achieve the safety management of construction projects, Building Information Modeling (BIM) technology is introduced. It can help construction safety management departments better understand every link in the entire construction process. In this paper, an integrated analysis of BIM technology and the current state of construction safety is presented, aiming to explore the problems existing in the current construction safety management and provide construction personnel and management staff with a comprehensive understanding of predictable risk factors, effective preemptive measures, safety inspections, identification of safety hazards, and other associated issues, thereby guaranteeing the occupational safety and security of construction personnel and property. Consequently, the accident prevention model undergoes a transformation from a reactive approach to a proactive one.

Green retrofitting of heritage buildings based on (3Ts) framework: An applied case study

Diverse heritage architecture characterizes Port Said in Egypt, reflecting European and Arab influences. Suez Canal heritage villas comprise 25% of the total listed heritage buildings in the city. Thus, it is important to retrofit them, aligning with the Sustainable Development Goals (SDGs). By reviewing the previous literature related to the green retrofitting of heritage buildings, the (3Ts) framework can be considered a holistic framework that covers the latest trends due to its three components: targets, tools, and tasks, which help the success of the process through a holistic vision of supporting building information modeling (BIM) technologies and organizing stakeholders' involvement. This paper aims to apply the (3Ts) framework to Suez Canal heritage villas in Port Said, Egypt. The applied study is based on how stakeholders perceive their input and decision-making, measuring the climate parameters, proposing several green retrofits, and integrating them into green scenarios. Evaluation of scenarios is conducted by utilizing the Design Builder simulation software. Additionally, the Skelion plugin calculates the photovoltaic system's (PVs) energy generation. The results indicated that the total energy savings could reach approximately 12%–74% and nearly 10%–73% CO₂ emissions reduction without affecting heritage values.