Building Information Modelling (BIM) has emerged as a focal point in the construction industry, garnering substantial attention due to its capacity to elevate product quality, facilitate accurate quantity determination, and enhance scheduling efficiency. The inherent complexity of construction projects necessitates the integration of BIM models endowed with automation functionalities for schedules and cost estimation. This integration ensures that updates seamlessly occur throughout the construction process, thereby mitigating project uncertainties and reducing overall costs. While the potential benefits of BIM are recognized, a substantial challenge persists in the Architecture, Engineering, and Construction (AEC) field defining workflows for the automated generation of optimized 4D/5D BIM simulation and analysis. The effective utilization of BIM as a transformative tool requires addressing this challenge to unlock its full potential in project management. BIM serves as a pivotal conduit for project data, providing a structured approach to elevate overall product quality, streamline processes, and minimize contingencies and costs associated with construction projects. Consequently, the successful implementation of BIM with automated 4D/5D simulation and analysis stands as a critical milestone in advancing the capabilities of the AEC industry, ensuring greater efficiency, accuracy, and cost-effectiveness in construction projects. According to these aspects, the time-cost analysis (4D/5D) of a project for the North-South railway station in Riyadh, designed by Architect Engineer Dia Hilal, was investigated.

Inzerillo L., Acuto F., Pisciotta A., Mantalovas K., Di Mino G. (2024). Exploring 4d and 5d analysis in bim environment for infrastructures: A case study. INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, 48(2), 233-240 [10.5194/isprs-Archives-XLVIII-2-W4-2024-233-2024].

Exploring 4d and 5d analysis in bim environment for infrastructures: A case study

Inzerillo L.
Conceptualization
;
Acuto F.
Methodology
;
Pisciotta A.
Writing – Original Draft Preparation
;
Mantalovas K.
Validation
;
Di Mino G.
Supervision
2024-01-01

Abstract

Building Information Modelling (BIM) has emerged as a focal point in the construction industry, garnering substantial attention due to its capacity to elevate product quality, facilitate accurate quantity determination, and enhance scheduling efficiency. The inherent complexity of construction projects necessitates the integration of BIM models endowed with automation functionalities for schedules and cost estimation. This integration ensures that updates seamlessly occur throughout the construction process, thereby mitigating project uncertainties and reducing overall costs. While the potential benefits of BIM are recognized, a substantial challenge persists in the Architecture, Engineering, and Construction (AEC) field defining workflows for the automated generation of optimized 4D/5D BIM simulation and analysis. The effective utilization of BIM as a transformative tool requires addressing this challenge to unlock its full potential in project management. BIM serves as a pivotal conduit for project data, providing a structured approach to elevate overall product quality, streamline processes, and minimize contingencies and costs associated with construction projects. Consequently, the successful implementation of BIM with automated 4D/5D simulation and analysis stands as a critical milestone in advancing the capabilities of the AEC industry, ensuring greater efficiency, accuracy, and cost-effectiveness in construction projects. According to these aspects, the time-cost analysis (4D/5D) of a project for the North-South railway station in Riyadh, designed by Architect Engineer Dia Hilal, was investigated.
2024
Inzerillo L., Acuto F., Pisciotta A., Mantalovas K., Di Mino G. (2024). Exploring 4d and 5d analysis in bim environment for infrastructures: A case study. INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, 48(2), 233-240 [10.5194/isprs-Archives-XLVIII-2-W4-2024-233-2024].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/638617
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