Application Of Building Information Modeling Research Articles

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

Building Information Modeling (BIM) is a very effective technology for supporting lean construction. However, the current application of BIM during the construction phase does not incorporate all necessary elements of the construction site in a comprehensive manner. Additionally, the depiction of the construction process lacks the desired level of detail. These limitations impede the application of BIM-based lean construction. In this paper, we propose a full-element and multi-time-scale modeling approach to BIM during the construction phase. Our method first establishes a full-element model by reconstructing the main body of the building based on construction subdivision dimensions, construction technology, and management objectives. We then create a three-dimensional model that includes a process elements model of circulating materials, temporary facilities, construction machinery, and surrounding environmental elements. The integrated model of these elements provides a comprehensive representation of BIM at any static time point. Second, we conduct multi-time-scale simulations based on the full-element model. Our approach divides the entire time, local time, and special time points into three scales to simulate project progress, local structure construction technology, and working conditions. A case study of the Daxing International Airport construction project verifies that our method can achieve lean management of construction resources. Full-element modeling provides a comprehensive BIM representation at any static time point, thereby supporting lean construction by improving construction resource management, reducing costs, and enhancing efficiency.

Towards Automated Measurement of As-Built Components Using Computer Vision.

Regular inspections during construction work ensure that the completed work aligns with the plans and specifications and that it is within the planned time and budget. This requires frequent physical site observations to independently measure and verify the completion percentage of the construction progress performed over periods of time. The current computer vision techniques for measuring as-built elements predominantly employ three-dimensional laser scanning or three-dimensional photogrammetry modeling to ascertain the geometric properties of as-built elements on construction sites. Both techniques require data acquisition from several positions and angles to generate sufficient information about the element's coordinates, making the deployment of these techniques on dynamic construction project sites challenging. This paper proposes a pipeline for automating the measurement of as-built components using artificial intelligence and computer vision techniques. The pipeline requires a single image obtained with a stereo camera system to measure the sizes of selected objects or as-built components. The results in this work were demonstrated by measuring the sizes of concrete walls and columns. The novelty of this work is attributed to the use of a single image and a single target for developing a fully automated computer vision-based method for measuring any given object. The proposed solution is suitable for use in measuring the sizes of as-built components in built assets. It has the potential to be further developed and integrated with building information modelling applications for use on construction projects for progress monitoring.

Modeling the Relation between Building Information Modeling and the Success of Construction Projects: A Structural-Equation-Modeling Approach

Over the course of the last twenty years, building information modeling (BIM) has emerged as a firmly established construction methodology integrating fundamental principles. The implementation of BIM methodologies possesses the capability to augment the attainment of quality, cost, and schedule objectives in construction endeavors. Notwithstanding the widespread adoption of BIM in the construction sector, the execution of BIM-related tasks frequently suffers from the absence of established methodologies. The objective of this study was to create a BIM application model through an examination of the correlation between BIM integration and the achievement of overall project success (OPS) in construction endeavors. In order to develop the BIM application model, feedback was solicited from a cohort of fourteen industry experts who assessed a range of BIM activities in light of prior research. The data that were gathered underwent exploratory factor analysis (EFA) in order to authenticate the results acquired from the expert interviews. Furthermore, construction professionals participated in structured surveys in order to evaluate the importance of said BIM practices. This study utilized partial least squares–structural equation modeling (PLS-SEM) to ascertain and authenticate the underlying framework and correlations between BIM implementation and OPS. The findings indicate a moderate correlation between the implementation of BIM and the success of a project wherein BIM is responsible for approximately 52% of the project’s overall success. To optimize project outcomes, it is recommended that construction companies prioritize the implementation of BIM practices. This study highlights the correlation between the utilization of BIM and favorable project results, emphasizing the necessity for the construction sector to adopt BIM as a revolutionary instrument to attain enhanced project achievements.

CHALLENGES IN INTEGRATING BIM INTO CONSTRUCTION SAFETY MANAGEMENT

While studies depict Building Information Modeling (BIM) as a technological innovation with a high potential for construction hazard identification and safety implementation, challenges arise due to different understandings and strategies in utilizing BIM among organizations and professionals. This paper reflects on the challenges of integrating BIM for construction safety systems through a statistical survey analysis about the status of BIM integration for construction safety management. The survey results gathered from 208 respondents were analyzed the aid of the R programming language. The findings highlighted the difficulties encountered by professionals with experience in using BIM for construction safety mitigation, who work in various countries, different company classifications, job roles, and the number of years of work experience. Furthermore, the survey identified the need for knowledge on using BIM software, and digital data management and needing more experts and references among the challenges in applying BIM in construction safety planning and implementation. Fewer respondents used automation tools and referenced safety standard regulations in BIM to identify hazards and plan construction safety layouts. Thus, this study provides a helpful reference for future research, particularly in developing frameworks and automation processes that enhance construction safety through BIM applications. In conclusion, it is imperative to address the challenges in integrating BIM into construction safety management to successfully utilize the technology to promote safety and health in the construction industry.

Research on the POPi Digital Model Framework for BIM Implementation in High-Rise Megaprojects

For more than a decade, researchers and practitioners have been working to advance the implementation of virtual design and construction (VDC) and building information modeling (BIM) in the construction industry. Based on the product-organization-process (POP) research model of VDC/BIM, this paper presents the product-organization-process-infrastructure (POPi) digital framework by adding the core element: the software and hardware infrastructure. This paper discusses the element models and corresponding relationship of the POPi framework in terms of practical characteristics: the diversity of BIM applications and software in high-rise megaprojects and cross-organizational task interdependence. In addition, by combining the practices of the Suzhou Zhongnan Center, this study analyzes the four core element models of the POPi framework and discusses the typical applications and benefits to projects in design and the early stage of construction based on the element models. The research results provide a theoretical framework for the BIM application and related software development of similar projects.

Machine learning multilayer perceptron method for building information modeling application in engineering performance prediction

ABSTRACT The engineering design process has fundamentally impacted the life cycle of construction projects and notably, the engineering performance is significantly measured in delivering projects. Previous studies on engineering performance have established the cause–effect relationships between project variables and performance measures. Recently, the building information modeling (BIM) application has reformed how owners execute the engineering, construction, commissioning, and operation in the industry. There has been an increasing focus in finding the benefits of BIM on project performance, however, a minor focus has been given to engineering performance. This paper proposes an artificial neural network (ANN) machine learning multilayer perceptron (MLMP) method and linear regression (LR) that correlates the use of BIM with engineering performance for better construction project assessment. The conclusions reveal a high-level correlation measure between BIM use inputs and engineering performance outputs and further methods for evaluating the engineering performance. Furthermore, we achieved and validated the best prediction by leveraging data from 60 samples using the MLMP and LR models.

Analisis Pengaruh Faktor-Faktor Building Information Modeling terhadap Tingkat Penerapan dan Kinerja Proyek pada Proyek Design and Build

This study aims to determine the effect of the level of BIM application on project performance (cost, quality, time). Building Information Modeling (BIM) is a collaborative approach in construction project management that uses digital information models to integrate all aspects of a project, from planning to execution. The research method carried out in this study is using quantitative methods by observation using questionnaires. The results of the analysis show that the factors that influence the application of BIM have a significant influence on the level of BIM application in Design and Build projects. In addition, the level of BIM implementation also positively impacts overall project performance, with increased time efficiency, reduced costs, and improved quality of project results. This research provides a better understanding of the importance of implementing Building Information Modeling (BIM) in Design and Build projects, as well as identifying factors that can effectively improve the level of project implementation and performance. Thus, this research is expected to be a guideline for stakeholders in the construction industry to optimize the benefits of using BIM in future projects. 

Research on the optimization of prefabricated building preset scheme integrating BIM technology and BiLSTM model

Abstract With the rapid and continuous innovation and development of science and technology in the construction industry in recent years, prefabricated building technology has greatly improved the overall efficiency in the management of the construction and production process and the application of BIM (building information model) technology in prefabricated buildings has also increased. More and more widely. BIM technology combined with the Bi-LSTM model to mine the characteristics of preset scheme optimization to realize intelligent analysis. Furthermore, by constructing a three-dimensional convolutional neural network (3D-CNN), it can effectively carry out multi-dimensional analysis on the preset scheme of prefabricated buildings. Compared with the traditional Bi-LSTM model, combined with BIM-CNN-Bi-LSTM technology, the F1 value coefficient can be increased from 0.3 to 0.87; the comprehensive use of construction technology process for comprehensive and effective comprehensive optimization of various technologies opens the transition from the traditional linear design process to the horizontal design process in which multiple parties participate in the design.

The Role of BIM in Integrating Digital Twin in Building Construction: A Literature Review

Today, construction is essential to every economy since it employs many workers and significantly contributes to GDP. The construction industry’s efficiency has lagged behind other industries for decades due to low productivity, a lack of research, and poor adoption of advancements. Fortunately, the successful development of digital technologies such as Digital Twin (DT) has facilitated growth in many sectors, and DT has the potential to address challenges in building construction projects. While DT is a virtual replica that provides real-time data and analysis of a physical asset to optimize its performance, Building Information Modeling (BIM) is a collaborative process for creating, managing, and exchanging information throughout a construction project. BIM is the most efficient way to create an accurate, high-value DT and support industry transformation. An integrated DT and BIM platform can improve building design, construction, and performance in the architecture, engineering, and construction (AEC) sectors. Based on a literature review, this research aims to clarify and differentiate DT from other advanced 3D modeling technologies, such as BIM. Related publications from articles about DT and BIM in the construction industry were selected, identified, and organized after careful research of the relevant scientific databases. The research has three primary objectives: (1) to examine the present applications of DT and BIM in the construction industry; (2) to emphasize the similarities and differences between the two; and (3) to develop solutions and design methods for BIM and DT integration in building construction.

Toward Improving BIM Acceptance in FM: A Conceptual Model Integrating TTF and TAM

Substantial research has been performed on Building Information Modeling (BIM) in various topics, for instance, the use and benefit of BIM in design, construction, sustainable environment building, and Facility assets over the past several years. Although there are various studies on these topics, Building Information Modeling (BIM) awareness through facilities management is still relatively poor. The researcher's interest is increased in BIM study is based heavily upon the perception that it can facilitate the exchange and reuse of information during various project phases. This property and others can be used in the Iraqi Construction industry to motivate the government to eliminate the change resistance to use innovations in the Iraqi construction industry. Even though many scholars and practitioners agree on the potential application and benefits of BIM in construction/ Facilities Management FM, it is yet unknown why BIM is used and what criteria facilitate BIM achievement in O&M. As long as the actual usage and acceptance of BIM in the Operation and Maintenance phase is still a central issue in practice, therefor depending on the extensive well ground literature review a conceptual acceptance model is proposed in this paper by applying the technology acceptance theories such as Technology Acceptance Model (TAM) and Task Technology Fit (TTF) to explore how the extent of facilities management staff going to accept and adopt the new international technology (BIM).

Building Information Modelling (BIM) Application as Risk Mitigation Strategies in Building Refurbishment Project Life Cycle

Towards the implementation of inclusive sustainable cities development as one of the Sustainable Development Goals, the imbalance ratio of existing buildings to new construction became overwhelming challenges. Therefore, refurbishment of existing buildings is considered the possible solution to minimizes the environmental impact and upgrading the performance of an existing building to meet new requirements. However, building refurbishment is well-known as a project that comprehends riskier compared to new building projects which lead to limited applicability in current risk management implementation. Thus, in line with an era of digitization construction of the fourth industrial revolution (IR 4.0), the traditional risk management needs improvement from a manual basis to magnifying efficiency using integration of Building Information Modelling (BIM) application. BIM is defined as an advanced technology that assists construction players to produce, communicate, and analyse building models by providing visual tools and a set of data. Therefore, the objective of this research is to identify the potential building refurbishment risk categories and to determine the most critical project lifecycle phase in implementing the BIM applications in order to mitigate the potential building refurbishment project risk. Also, to discover the relationship strength between these two variables. The quantitative method is applied by using a questionnaire form to the certified BIM experts. This research contributes a solid understanding and useful guideline for future practice reference and improvement within the Building Refurbishment Project.

Energy Consumption of Retrofitting Existing Public Buildings in Malaysia under BIM Approach: Pilot Study

Building information modeling (BIM) platforms to enhance design and construction processes have been rising recently, with BIM-based tools such as Autodesk Revit’s Architecture. The importance of BIM can be mainly seen in reducing energy consumption by at least 30%, leading to a huge cut in carbon dioxide, and saving the environment. BIM helps engineers and contractors to use less material for better benefits for stakeholders, including organizations, governmental offices, and businesses. This study investigates the reliability and validity of a constructed questionnaire to pre-determine the applications relevant to a questionnaire to be used in a large-scale study. The literature has highlighted the connection between BIM and energy-driven retrofits. However, the application of BIM to the retrofitting of existing structures confronts obstacles, which may be attributable to the multidisciplinary character of information sharing, the timeliness of communication, and the large number of technology components required to provide an optimal exchange. A pilot study was conducted, identifying the sample size of 30 random respondents out of 167 samples. SPSS was used for estimating the percentages of the demographic attributes for the respondents, the face validity, internal-consistency validity, the validation of all contracts, and Pearson’s correlation. The results show that engineers constitute 46%, project managers (20%), contractors (17%), and the rest (approximately 17%) are divided among other professionals. The validity of internal consistency ranges from 0.791 to 0.912, which reflects perfect consistency. The internal consistency of each part was recorded at 0.942 (energy), 0.957 (strategies), and 0.979 (framework). The validation for the energy part ranges from 0.610 to 0.912; for strategies (0.451 to 0.884,) and for the framework (0.681 to 0.884). Pearson’s correlation for all 17 questions showed a minimum value of 0.464, while the maximum value was 0.890. The results show that all questionnaire elements were successfully validated with a Cronbach alpha factor mainly higher than 0.6—the threshold accepted by most researchers. Hence, the work on the broader scale of testing and analysis could proceed.

PRESERVATION THROUGH DIGITIZATION - STANDARDIZATION IN DOCUMENTATION OF BUILD CULTURAL HERITAGE USING CAPTURING REALITY TECHNIQUES AND HERITAGE/HISTORIC BIM METHODOLOGY

Abstract. Building Information Modelling (BIM) is an established approach in the construction industry that enables efficient collaboration between stakeholders and facilitates project management. However, when it comes to historical buildings, the application of BIM can be demanding due to the complex nature of these projects. Although BIM Uses in the construction sector are well-documented (Penn State University, 2013) and we are surrounded by amazing technologies, we do not yet have standardized international workflows on how to use those state-of-the-art techniques with Cultural Heritage Assets (Bruno and Roncella, 2019). Standardizing Cultural Heritage (CH) metric documentation and Heritage/Historic Building Information Modeling (HBIM) is challenging since each CH asset needs different information throughout the whole life cycle of the monument - both their physical and non-physical attributes, such as historical and cultural characteristics. Additionally, every work carried out on CH, such as knowledge acquisition, restoration, adaptation, etc., requires specific data inputs. Although there are guidelines books that offer some general proposals, they represent the maximum effort towards standardization. As a result, the field of HBIM has emerged as a relatively new area of scientific research that focuses on the digital representation of CH assets.This research aims to develop a working method and templates for procurement workflow standardization that will facilitate the documentation of historic buildings and heritage assets in coordination with relevant historic preservation authorities for the BIM use case - asset register. The use of various measurement methods, the registration of captured point clouds, and the transfer of geometry to a BIM-compliant 3D information model and sustainable data storage are important aspects of this project.

Integrated applications of building information modeling in project cost management: a systematic review

Purpose Implementing building information modeling (BIM) in construction projects offers many benefits. However, the use of BIM in project cost management is still limited. This study aims to review the current trends in the application of BIM in project cost management. Design/methodology/approach This study systematically reviews the literature on the application of BIM in project cost management. A total of 46 related articles were identified and analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. Findings Eighteen approaches to applying BIM in project cost management were identified. The approaches can be grouped into cost control and cost estimation. Also, BIM can be applied independently or integrated with other techniques. The integrated approaches for cost control include integration with genetic algorithms, Monte Carlo simulation, lean construction, integrated project delivery, neural network and value engineering. On the contrary, integrated approaches for cost estimation include integration with cost-plus pricing, discrepancy analysis, construction progress curves, estimation standards, algorithms, declarative mappings, life cycle sustainability assessment, ontology, Web-based frameworks and structured query language. Originality/value To the best of the authors’ knowledge, this study is the first to systematically review prior literature on the application of BIM in project cost management. As a result, the study provides a comprehensive understanding of the current state of the art and fills the literature gap. Researchers and industry professionals can use the study findings to increase the benefits of implementing BIM in construction projects.

Immersive Technologies-Driven Building Information Modeling (BIM) in the Context of Metaverse

At present, considering the novelty of Immersive Technologies (ImTs) associated with Digital Twin (DT), Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the context of the metaverse and its rapid and ongoing development in Building Information Modeling (BIM), knowledge of specific possibilities and methods for integrating ImTs into building process workflows remains fragmented and scarce. Therefore, this paper aims to explore the research progress and trends of immersive technology-driven BIM applications, providing a helpful reference for understanding the current knowledge system and stimulating future research. To the best of the authors’ knowledge, this is the first attempt to use macro-quantitative bibliometric analysis and micro-qualitative analysis methods to explore the research topic of ImTs-driven BIM. This study obtains 758 related studies in the past decade, year 2013 to 2022, through a series of keywords from the Web of Science Core Collection database and uses VOSviewer software to conduct keywords co-occurrence analysis and overlay visualisation to visualise the relationship between ImTs and BIM, which contains six clusters, namely VR, Internet of Things (IoT), DT, 3D model, design, and AR. The macro-quantitative analysis on ImTs-driven BIM applications throughout all the stages of the building lifecycle reveals the themes, content, and characteristics of the applications across the stages, which tend to be integrated with emerging advanced technology and tools, such as Artificial Intelligence (AI), blockchain, and deep learning.

BIM enabler for facilities management: a review of 33 cases

The purpose of this paper is to investigate the application of building information modelling (BIM) for asset management. It will discuss what tools and processors are used for applying BIM for asset management in construction projects. The method comprises a literature review of 33 projects that have applied BIM or planned to apply BIM for asset management functions. The findings show that a combination of software, hardware, processors, and standards can enable the BIM models to be integrated with the asset management systems. It facilitates easy extraction of information, avoid errors and duplication of work. The most popular way of developing a BIM-based asset management system is incorporating BIM asset data with CMMS or CAFM systems used for asset lifecycle and maintenance management. Engagement of stakeholders related to the operation phase is required as early as possible. Consideration should be given for protecting the information generated within the cyber environment. The research shows how BIM related tools and processors could be integrated to successfully implement BIM enabled asset management. The knowledge can be potentially useful for planning or implementing BIM enabled asset management systems. The research provides insight on the application of BIM for asset management in construction projects globally.

Building Information Modelling Implementation Model for Sustainable Building Projects in Developing Countries: A PLS-SEM Approach

When building homes, sustainability principles should be followed throughout the process to achieve maximum advantages. Building information modeling (BIM) activities can aid in achieving sustainable goals. Third-world countries’ building industry implements informal approaches to information dissemination through email newsletters and websites. This research seeks to provide a model for the application of BIM and its relationship with overall sustainable success (OSS) in building projects. BIM activities were identified from the literature, and a survey form was distributed to 180 professionals in the Egyptian construction industry. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to establish the structure of BIM activities and assess their correlation with project success, revealing BIM accounts for 30% of sustainability. The study’s findings inform decision-making to improve project sustainability and reduce costs by introducing BIM to developing countries’ construction industries.

Building Information Modelling for Application in Geotechnical Engineering

BIM (Building Information Modelling) is used to create and manage data during design, construction, and operation. It helps to effectively manage resources and optimize processes in the construction industry. Geotechnical engineering is one of the complex disciplines that may require BIM integration. Various data types must be provided in a timely manner and require real-time feedback, fast processing, and construction guidance. The first problem presented in the paper is the use of the traditional 2D-based method used by engineers for a particular task. It seems to be impractical when some adjustments are included. Another issue is the lack of communication between the workers. It poses the problem of information exchange and misunderstanding during the interpretation of technical data. This paper aims to find different integration techniques and steps for integrating geotechnical data into the BIM process. Methods used to examine the topic are qualitative research, literature review, and case studies. These methods were useful for studying the problems and introducing the soil information into the BIM application. Firstly, a case study with I-BIM was considered, and the BIM–FEM–BIM interaction was applied to introduce geotechnical information with Plaxis 3D. The results have shown that further development of BIM in infrastructure is needed. Another case study explored the present state of the geotechnical design in BIM and potential solutions. The new frameworks were recreated: many boreholes were imported to the BIM, and a 3D geometric model of the entire hill was created for the hill fortification structure with soil clogging. The last two studies in Malaysia modeled a 3D subsurface and used two geotechnical formats, AGS and CVS. The first includes more information than the second; however, the second can be used for a more generalized model. Overall, BIM–FEM interaction can be used as a geometric model for data transfer. However, the open data format of the Industry Foundation Class (IFC) or geotechnical data format of the AGS and CVS were suggested to be used for greater flexibility. It was also found that excessive information makes the model loaded and complex. Therefore, it was recommended that big data be summarized properly with minimal loss of necessary data. Further research is needed to understand data transmission schemes of geotechnical information better. Moreover, it is recommended to put all the strategies directly into practice to create a geotechnical design.

BIM Application in Construction Projects: Quantifying Intangible Benefits

Building information modelling (BIM) has been considered an effective and efficient tool among stakeholders of the construction sector as it delivers prominent results. Hence, this work aimed to determine the intangible benefits of BIM in construction projects. Various statistical analyses were performed to identify the most critical intangible benefits of BIM required for justification. To rank the intangible benefits of BIM, the relative importance index was adopted. Then, the rotated component matrix was conducted to correlate each intangible benefit to its estimated components. In the last phase of the research, interviews were conducted to validate and confirm the critical intangible benefits. Five critical intangible benefits were identified: better understanding of design, better information received and given, improved communication through visualization, reduce design error and improved accuracy of drawings. By knowing these five critical benefits, clients should prioritise these benefits in their justification of BIM implementation.

Automatic Generation of 3D Indoor Navigation Networks from Building Information Modeling Data Using Image Thinning

Navigation networks are a common form of indoor map that provide the basis for a wide range of indoor location-based services, intelligent tasks for indoor robots, and three-dimensional (3D) geographic information systems. The majority of current indoor navigation networks are manually modeled, resulting in a laborious and fallible process. Building Information Modeling (BIM) captures design information, allowing for the automated generation of indoor maps. Most existing BIM-based navigation systems for floor-level wayfinding rely on well-defined spatial semantics, and do not adapt well to buildings with irregular 3D shapes, which can make cross-floor path generation difficult. This research introduces an innovative approach to generating 3D indoor navigation networks automatically from BIM data using image thinning, which is referred to as GINIT. Firstly, GINIT extracts grid-based maps for floors from BIM data using only two types of semantics, i.e., slabs and doors. Secondly, GINIT captures cross-floor paths from building components by projecting 3D forms onto a 2D image, thinning the 2D image to capture the 2D projection path, and crossing over the 2D routes with 3D routes to restore the 3D path. Finally, to demonstrate the effectiveness of GINIT, experiments were conducted on three real-world multi-floor buildings, evaluating its performance across eight types of cross-layer architectural component. GINIT overcomes the dependency of space definitions in current BIM-based navigation network generation schemes by introducing image thinning. Due to the adaptability of navigation image thinning to any binary image, GINIT is capable of generating navigation networks from building components with diverse 3D shapes. Moreover, the current studies on indoor navigation network extraction mainly use geometry theory, while this study is the first to generate 3D indoor navigation networks automatically using image thinning theory. The results of this study will offer a unique perspective and foster the exploration of imaging theory applications of BIM.