Giannattasio, Carlo (2021) BIM model for existing building stock: optimisation and validation of the processes. [Tesi di dottorato]

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Item Type:	Tesi di dottorato
Resource language:	English
Title:	BIM model for existing building stock: optimisation and validation of the processes
Creators:	Creators Email Giannattasio, Carlo carlo.giannattasio@unina.it
Date:	13 February 2021
Number of Pages:	91
Institution:	Università degli Studi di Napoli Federico II
Department:	Ingegneria Civile, Edile e Ambientale
Dottorato:	Ingegneria dei sistemi civili
Ciclo di dottorato:	33
Coordinatore del Corso di dottorato:	nome email Papola, Andrea papola@unina.it
Tutor:	nome email Papa, Lia Maria UNSPECIFIED Alonso Rodriguez, Marta UNSPECIFIED Finocchio, Antonio UNSPECIFIED
Date:	13 February 2021
Number of Pages:	91
Keywords:	Digitalisation; Management; BIM; Building Stock;
Settori scientifico-disciplinari del MIUR:	Area 08 - Ingegneria civile e Architettura > ICAR/17 - Disegno
Date Deposited:	18 Feb 2021 12:16
Last Modified:	07 Jun 2023 10:31
URI:	http://www.fedoa.unina.it/id/eprint/13960

Collection description

This research was developed within an Industrial Doctorate project involving two sponsors: the Negroni Key Engineering company with a consolidated background in the computer sector, more specifically in BIM, and Platinum partner of Autodesk; and the Universidad de Valladolid which for years has been performing critical studies in the field of photogrammetric and laser scanner surveying and digitalisation. The study presented here continues along these lines in order to define a work method for the digitalisation and management of existing building heritage. It must be resilient, envisage sustainable procedures for both the public administration and private entities, and identify the potential of the current systems as well as any critical issues. The work method is based on six work phases, each one preliminary to the next; they are: • Model Definition, indicating the geometric and information characteristics of the BIM models; • Data Acquisition, in which details are provided regarding the data to be acquired and relative survey method; • Model Reconstruction, during which different instruments of the BIM platforms are used to complete the digital twin of the building; • Model Checking, including the operations needed to ensure that all the elements are coherent, both graphically and from the point of view of information; • Model Fixing, envisaging integration, where necessary, of further studies so as to ensure correct completion of the study; • Data Management, characterised by the importation of the result obtained in a GIS platform, cataloguing, and reuse of the result. The optimisation strategies identified are: • The definition of a BIM GIS methodology and the consequent drafting of guidelines, describing the step-by-step progress of the processes contained in each phase of work; • The writing algorithms for the recognition of geometric elements in BIM software; • The creation of parameters that define the reliability of the input data necessary for the reconstruction of the building model. The innovative features of the research are: • The multiscalar management of the building stock, through the combined use of GIS and BIM platforms; • The complete discipline of the digital process extends from acquisition to data management; • The integration of semi-automatic CADToBIM and ScanToBIM processes, through new applications specially developed to optimise the reconstruction of specific objects; • the definition of the parameters CoIN (Confidence of Information Needed), relating to the reliability of the data needed to reconstruct the model, and SuRe (Survey Required), relating to the integration of surveys to be performed in order to complete the process. The doctoral thesis is divided into five parts: • definition of the state of the art, presenting the fundamental features of the issues in questions; • description of the work method, including the strategies to optimise the processes; • identification of the research field and case studies in order to validate the aforementioned methodology; • results and conclusions; • annexes.

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