| 1. |
- Alizadehsalehi, Sepehr, et al.
(författare)
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Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)
- 2023
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Ingår i: Smart and Sustainable Built Environment. - : Emerald Group Publishing Limited. - 2046-6099 .- 2046-6102. ; 12:1, s. 200-236
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Tidskriftsartikel (refereegranskat)abstract
- Purpose The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).Design/methodology/approach IDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.Findings The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.Practical implications DRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.Originality/value The research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.
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| 2. |
- Alizadehsalehi, Sepehr, et al.
(författare)
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The effectiveness of an integrated BIM/UAV model in managing safety on construction sites
- 2020
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Ingår i: International Journal of Occupational Safety and Ergonomics. - : Taylor & Francis. - 1080-3548 .- 2376-9130. ; 26:4, s. 829-844
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Tidskriftsartikel (refereegranskat)abstract
- Introduction. A variety of approaches exist to achieve better construction safety performance, but only a few consider a combination of building information modeling (BIM) and unmanned aerial vehicles (UAVs).Method. This article presents a four-dimensional (4D) BIM/UAV-enabled safety management model based on IDEF0 language. In the first step, potential hazards are identified with the help of safety specialists’ experiences and BIM software used in the design of the structure. Then, a UAV monitors the location of the potential hazards. The third step involves the integration of the 4D BIM-based model and the information obtained from the UAV. Finally, the combined data are analyzed and interpreted, and site safety staff are notified about measures to be put in place to prevent accidents.Results. This model shows a strong relationship between the design and construction phases by using BIM in the design phase and UAVs in the construction phase. The proposed safety model was evaluated by construction safety specialists in a two-pronged approach.Conclusion. The number of fatal, non-fatal and property damage-causing accidents may be significantly lower when the proposed system was used.Practical application. This model allows safety specialists to identify hazards and develop suitable mitigation strategies.
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| 3. |
- Kor, Mergen, et al.
(författare)
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An investigation for integration of deep learning and digital twins towards Construction 4.0
- 2023
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Ingår i: Smart and Sustainable Built Environment. - : Emerald Group Publishing Limited. - 2046-6099 .- 2046-6102. ; 12:3, s. 461-487
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Tidskriftsartikel (refereegranskat)abstract
- PurposeThe purpose of this paper is to investigate the potential integration of deep learning (DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an exploratory analysis.Design/methodology/approachA mixed approach involving qualitative and quantitative analysis was applied to collect data from global industry experts via interviews, focus groups and a questionnaire survey, with an emphasis on the practicality and interoperability of DDT with decision-support capabilities for process optimization.FindingsBased on the analysis of results, a conceptual model of the framework has been developed. The research findings validate that DL integrated DT model facilitating Construction 4.0 will incorporate cognitive abilities to detect complex and unpredictable actions and reasoning about dynamic process optimization strategies to support decision-making.Practical implicationsThe DL integrated DT model will establish an interoperable functionality and develop typologies of models described for autonomous real-time interpretation and decision-making support of complex building systems development based on cognitive capabilities of DT.Originality/valueThe research explores how the technologies work collaboratively to integrate data from different environments in real-time through the interplay of the optimization and simulation during planning and construction. The framework model is a step for the next level of DT involving process automation and control towards Construction 4.0 to be implemented for different phases of the project lifecycle (design–planning–construction).
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| 4. |
- Muhammad, Abbas Ahmad, et al.
(författare)
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Adoption of Virtual Reality (VR) for Site Layout Optimization of Construction Projects
- 2020
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Ingår i: Teknik Dergi. - : TüRk MüHendi̇S Ve Mi̇Mar Odalari Bi̇Rli̇ğİ. - 1300-3453. ; 31:2
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Tidskriftsartikel (refereegranskat)abstract
- Among the significant tasks of construction site management, site layout planning is a crucial activity which leads to project success. Currently the concept of an optimized construction site layout emerge as a result of executing tools and techniques that construction project management discipline provides. Despite the plentiful existence of site layout techniques, the authors of this paper believe that incorporation of Virtual Reality (VR) for jobsite organization is a valuable and modern management phenomenon for optimal planning of the site layout planning. Therefore, the purpose of this paper is to assess traditional practices for site layout planning and introduce the application of VR in construction jobsite organizations involving site layout planning, collision detection and evaluation of construction site layout scenarios. In this paper, two different construction jobsite scenarios for the structural phase of the building construction are created and for optimization purposes implemented through the 3D model developed are on Autodesk Revit software, SketchUp and Lumion. VR box headset is used for testing purposes of the proposed 3D jobsite organization model. A descriptive case study is examined in order to describe the proposed organizational plan for the created scenarios. In this research, questionnaire survey is chosen as one of the research instrument for data collection and evaluation purposes. Results presented in this paper, provide industry professionals with a better understanding of the benefits, advantages and how VR technology improves the effectiveness of jobsite layout planning compared to traditional practices.
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| 5. |
- Yitmen, Ibrahim, et al.
(författare)
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An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management
- 2021
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Ingår i: Applied Sciences. - : MDPI. - 2076-3417. ; 11:9
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Tidskriftsartikel (refereegranskat)abstract
- In the digital transformation era in the Architecture, Engineering, and Construction (AEC) industry, Cognitive Digital Twins (CDT) are introduced as part of the next level of process automation and control towards Construction 4.0. CDT incorporates cognitive abilities to detect complex and unpredictable actions and reason about dynamic process optimization strategies to support decision-making in building lifecycle management (BLM). Nevertheless, there is a lack of understanding of the real impact of CDT integration, Machine Learning (ML), Cyber-Physical Systems (CPS), Big Data, Artificial Intelligence (AI), and Internet of Things (IoT), all connected to self-learning hybrid models with proactive cognitive capabilities for different phases of the building asset lifecycle. This study investigates the applicability, interoperability, and integrability of an adapted model of CDT for BLM to identify and close this gap. Surveys of industry experts were performed focusing on life cycle-centric applicability, interoperability, and the CDT model’s integration in practice besides decision support capabilities and AEC industry insights. The evaluation of the adapted model of CDT model support approaching the development of CDT for process optimization and decision-making purposes, as well as integrability enablers confirms progression towards Construction 4.0.
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| 6. |
- Yitmen, Ibrahim, et al.
(författare)
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Investigating the Causal Relationships among Enablers of the Construction 5.0 Paradigm : Integration of Operator 5.0 and Society 5.0 with Human-Centricity, Sustainability, and Resilience
- 2023
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Ingår i: Sustainability. - : MDPI. - 2071-1050. ; 15:11
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Tidskriftsartikel (refereegranskat)abstract
- The Construction 5.0 paradigm is the next phase in industrial development that aims to combine the skills of human experts in partnership with efficient and precise machines to achieve production solutions that are resource-efficient and preferred by clients. This study reviewed the evolution of the Construction 5.0 paradigm by defining its features and diverse nature. It introduced the architecture, model, and system of Construction 5.0 and its key enablers: Operator 5.0, Society 5.0, human-centricity, sustainability, and resilience. The study used the SEM method to evaluate the research model and investigate the causal relationships among the key enablers of the Construction 5.0 paradigm. Nine vital hypotheses were proposed and assessed comprehensively. The critical enablers' variables were measured to examine the constructs' reliability and validity. The key findings showed that Construction 5.0 prioritizes collaboration between humans and machines, merges cyberspace with physical space, and balances the three pillars of sustainability (economy, environment, and society), creating a relationship among Operator 5.0, Society 5.0, human-Ccentricity, sustainability, and resilience. The study also discussed the limitations and challenges and offered suggestions for future research. Overall, Construction 5.0 aims to achieve sustainable development and become a robust and resilient provider of prosperity in an industrial community of a shared future. The study expects to spark debate and promote pioneering research toward the Construction 5.0 paradigm.
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| 7. |
- Yitmen, Ibrahim, et al.
(författare)
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Overview of Cyber-Physical Systems and enabling technologies in cognitive computing for smart built environment
- 2021
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Ingår i: BIM-enabled cognitive computing for smart built environment. - Boca Raton : CRC Press. - 9781000350975 - 9781003017547
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Bokkapitel (refereegranskat)abstract
- Cyber-Physical Systems comprising interconnected and integrated smart systems can transform the architecture, engineering, and construction (AEC) industry and contribute to the development of Construction 4.0. Various AEC researchers and industry professionals project that construction projects will be augmented by connected and autonomous systems to improve communication, operation, safety, and performance very shortly. IBM created the cognitive computing term for the first time to explain systems that have the learning ability from a broad range of datasets, present reasons and interact with humans by natural languages, and gain their experiences in the context. Big Data is a field that treats ways to analyze, systematically extract information from, or otherwise, deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Regarding smart energy, energy organizations provide advanced safety solutions to power plants by connecting the cognitive tool with imagery and weather analysis.
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| 8. |
- Yitmen, Ibrahim, et al.
(författare)
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Towards a digital twin-based smart built environment
- 2021
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Ingår i: BIM-enabled cognitive computing for smart built environment. - Boca Raton : CRC Press. - 9781000350975 - 9781003017547
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Bokkapitel (refereegranskat)abstract
- With the creation of massive data in projects, the digitization/computerization of various stages and processes of built environments are emerging to have a broad influence on how the architecture, engineering, and construction (AEC) projects are planned, built, and managed. With the evolution of Big Data and model-based engineering, the next logical step is to introduce the concept of Digital Twin, extending model-based paradigms along the complete lifecycle. Digitalization and computerization of data and information flow have a broad influence on the system and process of managing the lifecycle of projects. The relation among the DT and smart cities has been recognized as the novel and ultimate technological apparatus for smartening cities. Blockchain empowers the security of the DT system through cryptographic hashing algorithms. This process is possible by storing DT data on distributed ledgers that cannot be changed easily and cannot be controlled by any central authority. DT encompasses sensors, measurement technologies, internet of things, simulation, and modeling and ML.
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