Abstract

Abstract. In order to improve the framework for 3D modeling, a great challenge is to obtain the suitability of Building Information Model (BIM) platform for historical architecture. A specific challenge in HBIM is to guarantee appropriateness of geometrical accuracy. The present work demonstrates the feasibility of a whole HBIM approach for complex architectural shapes, starting from TLS point clouds. A novelty of our method is to work in a 3D environment throughout the process and to develop semantics during the construction phase. This last feature of HBIM was analyzed in the present work verifying the studied ontologies, enabling the data enrichment of the model with non-geometrical information, such as historical notes, decay or deformation evidence, decorative elements etc. The case study is the Church of Santa Maria at Portonovo, an abbey from the Romanesque period. Irregular or complex historical architecture, such as Romanesque, needs the construction of shared libraries starting from the survey of its already existing elements. This is another key aspect in delivering Building Information Modeling standards. In particular, we focus on the quality assessment of the obtained model, using an open-source sw and the point cloud as reference. The proposed work shows how it is possible to develop a high quality 3D model semantic-aware, capable of connecting geometrical-historical survey with descriptive thematic databases. In this way, a centralized HBIM will serve as comprehensive dataset of information about all disciplines, particularly for restoration and conservation. Moreover, the geometric accuracy will ensure also reliable visualization outputs.

Highlights

  • Building Information Modeling (BIM) is currently used in the architecture & civil engineering (ACE) to integrate a threedimensional visual model of construction projects and digital data of various fields with properties into a file or a database with a specific format

  • In modeling, interesting approaches address to produce a digital document that combines metric and photographic data and historical data in a 3D textured model becoming a theoretical model (Lo Buglio, 2012, Quattrini, 2014) or 3D models that recognise the rules of construction becoming access point to architectural criticism (De Luca et al, 2011; Apollonio, 2013). This last perspective opened the discussion about 3D GIS and its semantics: this is a concept encapsulated in HBIM

  • In order to improve the framework for 3D modeling, a great challenge is obtain the suitability of Building Information Model (BIM) platform for historical architecture

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Summary

INTRODUCTION

Building Information Modeling (BIM) is currently used in the architecture & civil engineering (ACE) to integrate a threedimensional visual model of construction projects and digital data of various fields with properties into a file or a database with a specific format. If models will be able to meet these requirements, avoiding hard computing processes, in the years the HBIM will play a key role in restoration, representation and communication of cultural built heritage This kind of models offers a lot of advantages in obtaining directly two-dimensional drawings and in the management of a large amount of data concerning each shape. A novelty of our method is to work in a 3D environment along the process and to develop the semantic of the model during the construction phase This last feature of HBIM was analyzed in the present work verifying the studied ontologies, enabling the data enrichment of the model with non-geometrical information, such as: historical notes, decay or deformation evidence as well as decorative elements etc. The main paragraph (4) is composed by 3 sub-paragraphs about the modeling phase, accuracy tests and assignment of ontologies and attributes, at the end the conclusion and the future perspective of this work

STATE OF ART
Brief description of the church
The TLS survey campaign
HBIM AND QUALITY ASSESSMENT
The modeling phase
Comparison between point cloud and BIM model
Semantic modeling
Findings
CONCLUSIONS AND FUTURE WORKS
Full Text
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