Building Information Modeling System Research Articles

Construction 5.0 and Sustainable Neuro-Responsive Habitats: Integrating the Brain–Computer Interface and Building Information Modeling in Smart Residential Spaces

This study takes a unique approach by investigating the integration of Brain–Computer Interfaces (BCIs) and Building Information Modeling (BIM) within residential architecture. It explores their combined potential to foster neuro-responsive, sustainable environments within the framework of Construction 5.0. The methodological approach involves real-time BCI data and subjective evaluations of occupants’ experiences to elucidate cognitive and emotional states. These data inform BIM-driven alterations that facilitate adaptable, customized, and sustainability-oriented architectural solutions. The results highlight the ability of BCI–BIM integration to create dynamic, occupant-responsive environments that enhance well-being, promote energy efficiency, and minimize environmental impact. The primary contribution of this work is the demonstration of the viability of neuro-responsive architecture, wherein cognitive input from Brain–Computer Interfaces enables real-time modifications to architectural designs. This technique enhances built environments’ flexibility and user-centered quality by integrating occupant preferences and mental states into the design process. Furthermore, integrating BCI and BIM technologies has significant implications for advancing sustainability and facilitating the design of energy-efficient and ecologically responsible residential areas. The study offers practical insights for architects, engineers, and construction professionals, providing a method for implementing BCI–BIM systems to enhance user experience and promote sustainable design practices. The research examines ethical issues concerning privacy, data security, and informed permission, ensuring these technologies adhere to moral and legal requirements. The study underscores the transformational potential of BCI–BIM integration while acknowledging challenges related to data interoperability, integrity, and scalability. As a result, ongoing innovation and rigorous ethical supervision are crucial for effectively implementing these technologies. The findings provide practical insights for architects, engineers, and industry professionals, offering a roadmap for developing intelligent and ethically sound design practices.

Comparative study on energy efficient green building with conventional building

Abstract Green Building concept is an environmental building practice followed by the construction engineers since the years 2000s. Green building concept is the imperative of time with respect to economic, social and environment aspects. Green building techniques can mainly classify under six categories, waste management, water efficiency, energy efficiency, location, configuration and green materials, where under each technique countless solutions can be developed based on the requirements and the proposed project. Hence, this paper targets to redesign Barka Marina Mall, Oman as a green building considering building configuration, renewable energy and green materials, with the help of Building Information Modelling (BIM) technology and Photovoltaic System software as simulation tools. Aim of the present study is to redesign the Barka Marina Mall, Oman as a green building by considering the building configuration, renewable energy and green materials, with the help of BIM and Photovoltaic System software and compared the results with the conventional building. The criteria considered for the comparative analysis are, annual carbon emission, annual energy use, monthly fuel consumption and monthly energy consumption between the conventional and the green building. Based on the comparative study it is noticed that applying the green building concept has a great potential to save the nation’s resources and the environment by reducing the consumption as well as the cost.

Digital Evolution in AEC industry: Bridging BIM, Building Codes, and Future Technologies

Abstract In recent decades, the Architecture, Engineering, and Construction (AEC) industry has witnessed profound shifts driven by digital technologies. Central to this transformation is Building Information Modelling (BIM), which has offered a holistic approach to design, analysis, and documentation, yielding benefits in visualization, collaboration, simulation, and life-cycle management. However, the industry’s intricate regulatory landscape, primarily rooted in traditional text-heavy building codes, has lagged in digital adaptability. This paper explores the imperative to transition building codes and regulations into machine-friendly formats, capitalizing on structured databases, semantic annotations, and (Application Programming Interface) API-driven access. Such a transformation facilitates streamlined (Artificial Intelligence) AI-based compliance checks and augments the capabilities of BIM systems. Furthermore, the research delves into the convergence of BIM with other burgeoning technologies. Extended Reality (XR) promise enriched visualization and on-site integration. AI introduces automated analytics, optimization, and predictive facilities management. The integration of Internet of Things (IoT) proposes a real-time feedback loop into BIM, evolving towards dynamic Digital Twins. The discussion also touches upon the potential of XR technology use for enhanced workforce performance and quality control on the site. In conclusion, the AEC industry stands on the edge of a digital evolution, demanding integrated approaches to fully harness the potential of these technologies, ensuring not only efficient construction practices but also enhancing building safety and sustainability.

Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures

The efficient extraction, storage, and visualization of geometric and semantic information is a key foundation for the operation of the building information modeling (BIM) platform. This study aims to develop a lightweight BIM system and optimize the system’s performance according to the specific characteristics of steel structures. This study proposes several novel techniques for extracting and decoupling the geometric and semantic information of components from industry foundation class (IFC) files. A redundancy removal approach combining the principal content analysis (PCA) algorithm and the Hausdorff-based comparison algorithm is proposed to identify standardized steel components, and a lightweight visualization method on Web3D for redundant instances is also presented. A loading mechanism of the level of detail (LOD) model based on a mesh simplification algorithm is presented to optimize the display efficiency. The developed system is evaluated by three steel structural models. Using the redundancy removal approach, the number of instances is decreased by 96.46% in less than 30 s and over 30 FPS (frame per second) is kept when rendering. Using the LOD loading mechanism, 95.38% of vertices and 98.46% of patches are eliminated under 50 mm precision. The experiment results indicate that users can quickly load large BIM models and fetch sufficient information from the website.

From Material Cadastres to a Materiality Informed City Information Modelling

Abstract Urbanization and built environment significantly impact resource consumption, posing sustainability challenges, especially regionally, due to bulk material dominance. Circular practices, like closing, slowing, and narrowing offer solutions. However, effective circularity management requires understanding built environment material stock comprehensively. Material cadastres model city and regional materiality using typology approaches and GIS Modelling, offering insights into circularity potential and supporting strategic circular city management. Conversely, urban planning digitalization introduced City Information Modelling, linking GIS for urban structure mapping with Building Information Modelling systems for digital building integration and thus support urban planning. Yet, empirically, materiality and circularity issues lack systematic and comprehensive integration in such approaches. To this end, this paper discusses the potential of developing digital material cadastre concepts towards materiality-based urban information modelling using case study results that reveal strengths and limitations of existing cadastre concepts. We present a methodological overview covering a general approach to built environment material cadastres and the main components of the underlying bottom up Material Flow approach: material composition indicators and GIS based building stock modelling and a dynamization approach. To discuss circularity potentials of the built environment in a larger urban regional development context, we furthermore designed material cadastres for two case study cities and calculated exemplary circularity potentials for closing, slowing and narrowing approaches. The findings and drafted conclusions were then reflected with urban planning and development actors in workshops and group discussions. As a result, we present consolidated propositions with respect to bridging the methodological gap between strategic and operational materiality informed urban and regional planning in the transition of the built environment towards circularity.

Optimizing construction project outcomes through BIM and MEP system integration

The integration of Building Information Modeling (BIM) with Mechanical, Electrical, and Plumbing (MEP) systems represents a transformative approach to improving efficiency, coordination, and cost-effectiveness in construction projects. This paper explores a comprehensive methodology for BIM and MEP integration, encompassing framework development, data management, and collaboration mechanisms. It highlights the significant benefits such as enhanced project coordination, improved efficiency, and cost reduction while addressing key challenges including technical barriers, cultural and organizational changes, and data security concerns. Solutions such as the development of interoperability standards, middleware technologies, robust data management protocols, and collaborative platforms are discussed. The study underscores the necessity of a multifaceted strategy involving training, change management, and leadership commitment to drive successful implementation. Through detailed analysis and discussion, this paper demonstrates how BIM and MEP integration can lead to more streamlined, cost-effective, and high-quality construction projects.

Dynamic Monitoring and Analysing Method of Construction Project Performance Based on Digital Twin

Higher-level management and monitoring systems must be developed to maintain increasing global civil infrastructure projects. One such innovation in the construction industry is the Digital Twin (DT), which helps businesses address the evolving needs for smart city development and infrastructure growth through enhanced project management and execution. In this paper, we introduce a DT framework that will digitally describe construction areas in real-time through the use of Internet of Things (IoT) sensors, Building Information Modelling (BIM), and machine learning (ML). The computer program periodically collects and analyses data using sensors associated with the environment along with 3D imaging sensors (LiDAR, photogrammetric cameras). More Effective project management and monitoring are the result of linking this data with BIM systems, allowing for reports on the construction development. In order to promote proactive management, this system uses ML algorithms to analyze patterns and predict future risks. For superior prediction and decision-making by the DT, this system's dual-input layout processes both spatial and temporal data. The framework enables a method to collect data in real time and use them to achieve early detection of issues, improved resource management, and enhanced project outcomes.

Aplicação da metodologia BIM no planejamento de obras: Estudo de caso

The construction industry is constantly evolving due to technological advances, rendering the traditional 2D project development methodology obsolete in the face of market demands. Enter Building Information Modeling (BIM), a new methodology that integrates information across all construction stages, eliminating incompatibilities and providing benefits to planning. This study aims to deepen the understanding of how BIM can optimize construction planning, improving coordination and the overall quality of the construction process.This study begins with a detailed roadmap for BIM implementation from conception to planning, covering modeling and quantification. Essential quantification criteria were identified by analyzing budgetary compositions from the National System of Costs and Indexes of Civil Construction (SINAPI). Interrelationships between SINAPI compositions and 3D modeling in Autodesk Revit are explored, highlighting how BIM enhances the construction process. Microsoft Project was utilized for planning as a fundamental auxiliary tool in the BIM context for efficient project management. The study concludes that employing BIM in Construction Planning offers numerous advantages, emphasizing the importance of disseminating the BIM system in the construction industry for improved results in economic, social, and environmental aspects.

Enhancing Building Energy Efficiency through Building Information Modeling (BIM) and Building Energy Modeling (BEM) Integration: A Systematic Review

With the ever-increasing population and historic highest energy demand, the energy efficiency of buildings is becoming crucial. Architectural firms are moving from traditional Computer-Aided Design (CAD) to BIM. However, nearly 40% of the energy consumption is due to buildings. Therefore, there is a need to integrate BIM with Building Energy Modeling (BEM), which presents an innovative opportunity to demonstrate the potential of BIM to minimize energy consumption by integrating building information software with data from existing energy-efficient building automation systems (EBAS). BEM is a form of computational analysis that can be used in conjunction with BIM or Computer-Aided Engineering (CAE) systems. In this paper, an attempt has been made to explore the existing literature on BIM and BEM and identify the effect of the integration of BEM in BIM in the design phase of the project. A recent survey from the last ten years (2012 to 2023) was carried out on Google Scholar, Web of Science, Science Direct, and Scopus databases. Inclusion/exclusion criteria were applied, and papers were scrutinized. From the results, it can be observed that the convergence of BIM and BEM is found to be useful in practical applications; however, projects with short life cycles might not be suitable for this solution. Challenges exist in the interoperability tools which have restrictions on data exchange. Binary translation is found to be the most suitable candidate for data exchange. The analysis further showed that the most used program for integrating BIM/BEM is Green Building Studio developed by Autodesk to improve construction and operational efficiencies.

The impact of digital marketing on the adoption of building information modeling system in Jordanian interior design companies: The moderating role of credibility

Failure in digital marketing strategies implementation in building information modeling (BIM) adoption has been observed among some interior design firms. The impact of digital marketing on BIM system adoption among interior design companies was examined in this descriptive analytical research. The research also examined the credibility of BIM system adoption and how the system moderates credibility in the relationship between digital marketing strategies and BIM system adoption. A conceptual model comprising digital marketing strategies (content marketing, social media, and search engines) as independent variables impacting information modeling system adoption as a dependent variable was proposed. The moderating effect of credibility in the relationship between digital marketing strategies and BIM system adoption was examined. Data were gathered through questionnaires delivered online to 300 selected study participants via Google Forms. Usable data from 250 participants and the study hypotheses were analyzed using Structural Equation Modeling (SEM) with Partial Least Square (PLS). The results showed a significant impact of digital marketing strategies (content marketing, social media, and search engines) on BIM system adoption. It also emphasized the moderation of the role of credibility in the relationship between digital marketing strategies (content marketing, social media and search engines). This study can help Jordanian interior design companies to make optimal use of digital marketing strategies (content marketing, social media, and search engines) to adopt the BIM system to increase profits.

Enhancing Building Information Management Adoption in Design Consultant Companies in Malaysia: A Conceptual Study

The implementation of a Building Information Modelling (BIM) system has been acknowledged to offer numerous advantages to a design consultancy organization. Nevertheless, an examination of a readiness study on design consultant firms regarding the implementation of BIM System reveals a negligible adoption rate within the industry. Therefore, further endeavors are necessary to promote a more widespread utilization of BIM. The objective of this research is to encourage the extensive implementation of BIM in the consultant organization. The research objective is to investigate the potential benefits of implementing a BIM system in consultant businesses for project design. In order to accomplish research objectives, a theoretical framework is suggested, drawing upon the findings of the review. This framework will thereafter be employed to design the questionnaire for gathering data. A questionnaire survey is employed to gather data for this investigation. In this study, the quantitative research approach model was employed for objective analysis. Each technique is evaluated using a five-point Likert scale, which enables respondents to assess the effectiveness of the strategy in relation to its significance. Upon completion of the research, the findings of this study indicate that the actual outcome aligns closely with the anticipated outcome. Specifically, the deployment of BIM systems among firm consultants in Malaysia remains relatively low, although it demonstrates greater effectiveness in terms of design assistance and constructability. It is expected that the information presented in this thesis will inspire firm consultants to incorporate BIM technologies in their upcoming projects.

ПРО ОДНУ З МОЖЛИВИХ ТЕХНОЛОГІЙ ТА ВАРІАНТУ ЇЇ РЕАЛІЗАЦІЇ НА ВИМОГУ ПОЛОЖЕНЬ ДСТУ-Н Б В.1.2-18:2016

In the context of modern development in the construction industry and engineering design, the utilization of Building Information Modeling (BIM) has acquired strategic significance for the technical inspection of buildings. This article examines the importance of BIM as a tool aimed at obtaining comprehensive and detailed information about the construction, condition, and functionality of buildings. The primary objective of employing BIM in the context of technical inspections lies in the ability to create digital models that integrate diverse data related to the constructive and engineering characteristics of buildings. This ensures the standardization of information and simplifies analytical processes directed towards making well-founded decisions. The process of modeling an analytical model within the BIM system requires the integration of calculations with model parameters to account for the behavior of constructions under various load conditions and different design alternatives. The application of analytical analysis methods in the digital environment allows for more precise and reliable results, facilitating the identification of potential issues and optimizing design decisions.
 The paper presents an analysis of the experience in using preprocessors in creating computational models within the BIM system. Special attention is given to the role of the Structural Information Model (SIM) in the life cycle of the BIM model. The rules and methods of SIM development in the information modeling system are discussed, along with the unique features in the development of an analytical model within the SIM system. The study elaborates on the advantages of utilizing SIM during the technical inspection of buildings and provides specific examples for addressing typical issues in the construction phase. Emphasis is placed on potential outcomes and functionality achievable through the use of the SIM model in addressing tasks related to the technical inspection of buildings, contributing to the enhancement of efficiency and accuracy in the analysis of structural conditions.

IMPLEMENTATION OF BUILDING INFORMATION MODELING (BIM) PRINCIPLES AND INFORMATION TECHNOLOGIES FOR STRUCTURAL ANALYSIS IN THE DESIGN OF REINFORCED CONCRETE AND СOMPOSITE STEEL-REINFORCED CONCRETE FRAMED BUILDINGS

The development of Building Information Modeling (BIM) in historical context hasbeen analyzed, including CAD systems for 2D and 3D modeling, considered predecessors of modern BIM systems, parametric 3D modeling systems, the use of information technologies for structural analysis, issues of combined use of BIM systems and information technologies for structural analysis.Using the example of a 20-story frame-monolithic residential building, the sequence of creating a building information model in PC SAPPHIRE, forming a calculation model of the reinforced concrete frame in PC Lira-SAPR through direct integration of the specified software complexes is demonstrated. The issues of preparing a building information model in PC SAPPHIRE for transfer to PCLira-SAPR are discussed, as well as the issues of refining the calculation model in PC Lira-SAPR, including assigning stiffness and load characteristics, and selecting reinforcement for structural elements. Тhe sequence of creating a calculation model of a steel-reinforced concrete frame for three options of steel-reinforced concrete columns is considered: tubular concrete columns; tubular concrete columns with rigid reinforcement by cross steel strips; tubular concrete columns with rigid reinforcement by cross double T-sections.For the selected most loaded columns, mainly on the first floor, operating under the conditions of central or off-center compression, the sequence of forming refined calculation models is demonstratedby modeling these columns and areas of their connection to the floor slabs with 3D finite elements.Equivalent stress iso-surfaces are provided, as well as separate iso-surfaces of equivalent stresses of the steel shell and separately the concrete core of the columns

Active BIM system for optimized multi-project ready-mix-concrete delivery

PurposeReady-mix concrete delivery problem (RMCDP), a specific version of the vehicle routing problem (VRP), is a relevant supply-chain engineering task for construction management with various formulations and solving methods. This problem can range from a simple scenario involving one source, one material and one destination to a more challenging and complex case involving multiple sources, multiple materials and multiple destinations. This paper presents an Internet of Things (IoT)-supported active building information modeling (BIM) system for optimized multi-project ready-mix concrete (RMC) delivery.Design/methodology/approachThe presented system is BIM-based, IoT supported, dynamic and automatic input/output exchange to provide an optimal delivery program for multi-project ready-mix-concrete problem. The input parameters are extracted as real-time map-supported IoT data and transferred to the system via an application programming interface (API) into a mixed-integer linear programming (MILP) optimization model developed to perform the optimization. The obtained optimization results are further integrated into BIM by conventional project management tools. To demonstrate the features of the suggested system, an RMCDP example was applied to solve that included four building sites, seven eligible concrete plants and three necessary RMC mixtures.FindingsThe system provides the optimum delivery schedule for multiple RMCs to multiple construction sites, as well as the optimum RMC quantities to be delivered, the quantities from each concrete plant that must be supplied, the best delivery routes, the optimum execution times for each construction site, and the total minimal costs, while also assuring the dynamic transfer of the optimized results back into the portfolio of multiple BIM projects. The system can generate as many solutions as needed by updating the real-time input parameters in terms of change of the routes, unit prices and availability of concrete plants.Originality/valueThe suggested system allows dynamic adjustments during the optimization process, andis adaptable to changes in input data also considering the real-time input data. The system is based on spreadsheets, which are widely used and common tool that most stakeholders already utilize daily, while also providing the possibility to apply a more specialized tool. Based on this, the RMCDP can be solved using both conventional and advanced optimization software, enabling the system to handle even large-scale tasks as necessary.

Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition

ABSTRACT Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing various aspects of the field. The integration of Artificial Intelligence (AI) techniques with BIM holds significant promise and is gaining momentum in interdisciplinary applications. In China, the construction industry has witnessed notable advancements through the convergence of BIM, AI, and cloud data. However, the current state of intelligent construction technology in China reveals certain limitations that hinder its comprehensive development. This study addresses these challenges by focusing on the design of intelligent recognition algorithms for monitoring structural damage during bridge construction. Previous research has primarily employed classical neural network algorithms, but these approaches have exhibited certain limitations. This paper proposes innovative improvement measures to overcome these limitations and demonstrates their effectiveness through practical arithmetic examples. Furthermore, to enhance the intelligence level of the BIM system, this study integrates the improved neural network recognition algorithm into the BIM framework. The integration enables the BIM system to recognize and assess bridge structure damage efficiently and accurately. The outcomes of this research provide valuable insights into advancing the field of intelligent construction technology, particularly in the context of bridge construction monitoring.

Critical Success Factors for Building Information Modeling Implementation as a Sustainable Construction Practice in the UAE

The building sector is widely acknowledged as a driving force behind national prosperity. However, there are considerable challenges to the construction industry’s transition to sustainable practices, including regarding building information modelling (BIM) technologies. The United Arab Emirates has made significant progress in the Middle East in adopting BIM technologies. Green building approaches have been advanced through their incorporation into environmentally conscious building practices, with a large body of literature responding to this issue. Several projects in the United Arab Emirates have, however, made use of the complementary nature of BIM and UAE sustainable policies. However, not everybody has employed the full potential of BIM implementation in sustainable construction. This paper aims to identify and prioritize the critical success factors (CSFs) for effective BIM implementation as a sustainable construction practice in the UAE and examine their ranking and relationships. A list of critical success factors was gathered from a review of previous literature to identify the essential factors for successful implementation. A standardized questionnaire was distributed to consulting organizations and engineering enterprises to verify the existence of these CSFs and measure their importance in the context of the UAE’s construction industry. The survey data was analyzed using the analytic hierarchy process (AHP) technique to elaborate and validate the results, which was specifically applicable to the needs of this study. The results from the AHP analysis show that the social aspects were ranked as the highest critical success factor compared to the other criteria, namely economic, environmental, and information technology. Within this criterion, it was found that effective communication among stakeholders is the most important element, as subject matter experts feel that it is imperative to have buy-in from all or most of the construction project stakeholders to achieve the strategic goal of implementing BIM. Equally anticipated are both an effective corporate framework to back up the BIM system and government funding to build the BIM system.

New Method for Fine Calculation of Bridge Temperature Field Based on BIM Solar Radiation Analysis

Fine calculation of bridge temperature fields is significant for accurately evaluating thermal actions in bridge structures. Determining thermal loads on bridge surfaces caused by solar radiation is the most challenging part of the numerical thermal analysis because the sunlit and shaded areas on bridge surfaces change continuously with the sun’s rotation. Existing methods have low accuracy in determining thermal loads and cannot be applied to complex bridges. This study presents a new method for calculating temperature fields based on the advantages of building information modeling (BIM) technology in solar radiation analysis (SRA) and information sharing. This method starts with obtaining an accurate hourly insolation distribution on bridge surfaces through SRA implemented in a BIM system. Then, a Python script seamlessly maps the insolation information to finite element surfaces as thermal loads. This paper details the new method’s implementation steps and technical details, and a practical application on a concrete box girder demonstrates its applicability and effectiveness. Compared with previous methods, the proposed method has significant advantages, such as a more accurate calculation for solar radiation, a lower technical threshold, a higher degree of automation, less computational time, and easier finite element modeling.

A Rapid Seismic Damage Assessment (RASDA) Tool for RC Buildings Based on an Artificial Intelligence Algorithm

In the current manuscript, a novel software application for rapid damage assessment of RC buildings subjected to earthquake excitation is presented based on artificial neural networks. The software integrates the use of a novel deep learning methodology for rapid damage assessment into modern software development platforms, while the developed graphical user interface promotes the ease of use even from non-experts. The aim is to foster actions both in the pre- and post-earthquake phase. The structure of the source code permits the usage of the application either autonomously as a software tool for rapid visual inspections of buildings prior to or after a strong seismic event or as a component of building information modelling systems in the framework of digitizing building data and properties. The methodology implemented for the estimation of the RC buildings’ damage states is based on the theory and algorithms of pattern recognition problems. The effectiveness of the developed software is successfully tested using an extended, numerically generated database of RC buildings subjected to recorded seismic events.

Interaction Between Airport Facilities And The Surrounding Area Within The GIS And BIM Interoperability

In the planning and management of civil facilities, geospatial data plays a crucial role. Traditionally, the Geographic Information System (GIS) is the tool for storing, manipulating and analysing spatial and geographic data.However, recent developments in new methods and technologies are reshaping the methodologies and processes of the Architecture, Engineering and Construction industry. Encouraged by the current regulatory system, an improvement in approach, leading from the traditional planning to a shared and highly integrated digital model, is now made possible by using the Building Information Modelling (BIM).The collaborative project environment, typical of BIM tools, could become an important key success factor, especially in a framework of interoperability with other systems, such as GIS.Focusing on the airfield, this study aims to evaluate the potentiality and benefits given by the implementation of airport facilities in the BIM system and their interaction with the surrounding area. The results reveal that GIS and BIM interoperability enables to achieve a broader and deeper understanding of the digital models in the larger territorial context, facilitating for instance the analysis of possible interferences with aircraft operations in the interaction between facilities and surroundings.Furthermore, having the airport facilities implemented in BIM system, an overall optimisation of the management, maintenance, control and monitoring processes, as well as a better quality and saving on time and costs, could be observed. For this purpose, the application of a case study in this research work confirms the validity related to the practical features of the proposed framework. In fact, investigating the main requirements and characteristics to be taken into account during the BIM-GIS interoperability processes, the present approach may constitute a support tool for better planning and management of airport facilities.

BIM in infrastructure projects

Building Information Modeling (BIM) has made one of the most significant and fundamental enhancements in the construction industry and has led to more in-depth collaboration among project stakeholders. Large infrastructure projects differ from other construction projects, mainly because of size, location, levels of interfacing, complexity, and time frame. Coordinating such intense projects challenge, particularly across multiple teams and numerous stakeholders However, Building Information Modeling (BIM) helped to resolve some of these difficulties by facilitating a collaborative environment. BIM for infrastructure projects helps ensure the efficiency and accuracy of large-scale infrastructure projects design and implementation phases, in addition to the management of these projects. This research is aimed to explore the benefits and importance of implementing BIM in an infrastructure project for stakeholders through analyzing Five international projects and investigating how the utilization of BIM enhanced the processes during projects’ stages from design, construction, and operation. It was found that, amongst the various obstacles of implementing BIM practices the prime factor is the rarity of qualified BIM personnel in construction field; however, the near future promises to use BIM systems on a large scale in infrastructure projects.