BIM for infrastructure: an efficient process to achieve 4D and 5D digital dimensions

Autor: Fabrizio D'Amico, Fabio Tosti, Luca D’Ascanio, Chiara Ferrante, Davide Presta, Maria Chiara De Falco
Přispěvatelé: D'Amico, Fabrizio, D'Ascanio, Luca, DE FALCO, MARIA CHIARA, Ferrante, Chiara, Presta, Davide, Tosti, Fabio
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: European Transport / Trasporti Europei
Scopus-Elsevier
Popis: Introduction of the Building Information Modeling (BIM) approach in Civil Engineering practices allows a design optimization through both an improved control of all the components of a project and an increased efficiency in the collaboration between all professionals involved. In Italy, major attention is being paid by scientists and professionals on this subject area, especially after the implementation of the national law DM 560/2017. This document will gradually rule the integration of BIM-based procedures for contractors in major public tenders. The present paper aims to propose a methodology for implementing an optimization dynamic model of time (4D) and costs (5D) across different project phases. To achieve this aim, the process relies on several authoring tools and 4D/5D modeling software, capable to incorporate a variety of project data in a unique and shared environment. The most effective methodology to maximize the interoperability between various codes will be presented. In this regard, a dynamic model involving an optimization-oriented approach for both the quantity surveying and the definition of the design management timeline is introduced. It is important to emphasize that these aspects are two of the major issues for the evaluation criteria in a civil engineering project. Also, this bidirectional process allows for a more accurate estimation of project costs as well as to achieve an optimized timeline of construction activities. Finally, it worth reminding that in case of constrained changes during the design phase, a dynamic model permits to effectively reiterate the process with a significant reduction of the overall computational time.
Databáze: OpenAIRE