Building Information Modelling – 4D Modelling Technology on the Example of the Reconstruction Stairwell

Kacprzyk, Zbigniew; Kępa, Tomasz

doi:10.1016/j.proeng.2014.12.051

Cited by 9 publications

(4 citation statements)

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“…Three-dimensional BIM is not the same as CAD 3D. In 3D BIM, the building is broken down into functional components with specific attributes for BIM [29]. All of the spatial relationships, geographic data and geometry, such as the length, width and height of the building components, are contained in 3D BIM [3].…”

Section: The Third Dimension Of Bimmentioning

confidence: 99%

“…Four-dimensional BIM, which stands for four-dimensional building information modeling, is utilized for all planning-related tasks on construction sites [30]. The word "4D" in BIM alludes to the fourth dimension, which is time, and its purpose is to expand the capabilities of 3D CAD or solid modeling by adding a fourth dimension of time to the 3D space of computer-aided design [29]. Scheduling is a labor-intensive manual task that frequently does not synchronize completely with the design and makes it difficult for project stakeholders to easily understand the schedule and its impact on the site logistics [3].…”

Section: The Fourth Dimension Of Bimmentioning

confidence: 99%

“…1.2.5. The Seventh Dimension of BIM Thus far, the final dimension (7D) relates to the use of the model for building maintenance, and as of right now, no software is able to offer such capabilities [29]. Over a building's lifetime, 7D is utilized to gather pertinent data regarding the operation, maintenance and state of the devices.…”

Section: The Sixth Dimension Of Bimmentioning

confidence: 99%

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A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

Takyi-Annan

Hong

2023

Buildings

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Building information modeling (BIM) mandates are becoming more widespread because BIM allows design and construction teams to operate more productively and also enables them to collect the data they generate during the process for use in operations and maintenance tasks. As a result, professionals in the architecture, engineering and construction (AEC) industries are expected to possess excellent BIM expertise. Despite the fact that the developing world has largely not adopted BIM, many studies have been conducted on BIM usage, awareness, drivers and barriers with a focus on the developing world. Numerous studies have pointed to the professionals’ lack of BIM expertise in the developing world’s AEC sector as a major barrier to BIM deployment. Nevertheless, no research has been conducted to assess the variables impacting the level of BIM expertise among professionals. After a detailed review of the literature, the study developed five study hypotheses and created a conceptual model to help assess the variables impacting the level of BIM expertise of professionals in the AEC industry in the developing world. After that, a questionnaire survey was carried out to collect data from 103 seasoned professionals in the Ghanaian construction industry. Nonparametric tests, such as the Kruskal–Wallis, pairwise post hoc Dunn, Mann–Whitney, Pearson’s correlation and the partial least squares structural equation modeling (PLS SEM) tests, were adopted to assess the relationships between the level of BIM expertise of professionals (BE) and the following variables: (1) profession (P), (2) the frequency of BIM use by professionals (BF), (3) the highest dimension of BIM adopted by AEC firms and companies (BD), (4) professionals’ perception of BIM (PB) and (5) the BIM implementation barriers (BIMIBs). P, BF, BD and PB were found to have a substantial impact on the level of BIM expertise acquired by professionals. With regards to professionals’ perception of the BIM software and process, only one (PB3–BIM is not useful to our company at the moment) out of ten of them was found to have a significant impact on BE, highlighting the impact of employers on the level of BIM expertise of professionals. In addition, the study discovered that any resolution made in an attempt to tackle the lack of/insufficient level of BIM expertise among professionals would prove futile without significant effort from the higher education sector (HES) of the developing world and the entire world at large. The study’s conceptual, empirical, managerial and theoretical implications and findings would serve as a roadmap for researchers, professionals and academics in developing nations as they endeavor to seek more ways of increasing BIM expertise among their professionals and to encourage BIM usage throughout the project lifecycle.

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Section: The Third Dimension Of Bimmentioning

confidence: 99%

Section: The Fourth Dimension Of Bimmentioning

confidence: 99%

Section: The Sixth Dimension Of Bimmentioning

confidence: 99%

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A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

Takyi-Annan

Hong

2023

Buildings

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“…Unreasonable logic in the sequence and task duration can be detected by professional project managers and engineers. Previous efforts have studied the application of 4D BIM for the monitoring of construction operations (Han & Golparvar-Fard 2015), for reconstruction (Kacprzyk & Kępa 2014), for construction progress measurement (Hu et al 2008;Kim et al 2013), for workspace conflict visualization (Moon et al 2014) and for safety analysis (Hu et al 2008;Zhou et al 2013). However, 4D BIM application for OOGP decommissioning is understudied.…”

Section: Introductionmentioning

confidence: 99%

A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and gas platform decommissioning options

et al. 2017

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Background: Offshore oil and gas platforms generally have a lifetime of 30 to 40 years, and platform decommissioning is a major issue because many of the existing offshore oil and gas platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and gas platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and gas industry, especially for the platform decommissioning process, is still limited. Methods: This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. Results: In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example.

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Developing a user plug-in to assess delay causes’ impact on construction projects in Egypt

Elhusseiny

Nosair

Ezeldin

2021

Ain Shams Engineering Journal

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Building Information Modelling – 4D Modelling Technology on the Example of the Reconstruction Stairwell

Cited by 9 publications

References 1 publication

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and gas platform decommissioning options

Developing a user plug-in to assess delay causes’ impact on construction projects in Egypt

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