Beyond Crude 3D Models: From Point Clouds to Historical Building Information Modeling via NURBS

Oreni, Daniela; Brumana, Raffaella; Banfi, Fabrizio; Bertola, Luca; Barazzetti, Luigi; Cuca, Branka; Previtali, Mattia; Roncoroni, Fabio

doi:10.1007/978-3-319-13695-0_16

Cited by 33 publications

(30 citation statements)

References 12 publications

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“…This could be intended as a new challenge for operators who work in the fields of photogrammetry, laser scanning, and 3D modelling. The use of the procedure based on curve networks (from clouds) and parametrization of NURBS surfaces (Oreni et al, 2014b) was used to obtain a BIM that preserves the complexity offered by laser clouds. Then, a rationalization of the BIM can be carried out to generate a robust and reliable finite element model for structural simulation.…”

Section: Resultsmentioning

confidence: 99%

“…The modelling tools of commercial BIM packages are not adequate to represent the geometric level of detail encapsulated into laser point clouds. For this reason, the procedure described in Oreni et al (2014b) was used. Vector profiles made up of NURBS curves Tiller, 1997, 1999) provide a curve network for NURBS surfaces, which are then turned into parametric BIM objects.…”

Section: Bim From Laser Clouds: Preserving Geometric Complexity With mentioning

confidence: 99%

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Bim From Laser Clouds and Finite Element Analysis: Combining Structural Analysis and Geometric Complexity

Barazzetti

Banfi

Brumana

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper describes the use of BIM models derived from point clouds for structural simulation based on Finite Element Analysis (FEA). Although BIM interoperability has reached a significant level of maturity, the density of laser point clouds provides very detailed BIM models that cannot directly be used in FEA software. The rationalization of the BIM towards a new finite element model is not a simple reduction of the number of nodes. The interconnections between the different elements and their materials require a particular attention: BIM technology includes geometrical aspects and structural considerations that allow one to understand and replicate the constructive elements and their mutual interaction. The information must be accurately investigated to obtain a finite element model suitable for a complete and detailed structural analysis. The aim of this paper is to prove that a drastic reduction of the quality of the BIM model is not necessary. Geometric data encapsulated into dense point clouds can be taken into consideration also for finite element analysis.The phases of the work: (a) point cloud acquisition/registration, (b) creation of the BIM from point clouds by preserving geometric complexity, (c) generation of the finite element model with tetrahedral meshes, (d) structural analysis with the new model. The case study is Castel Masegra, a castle in Sondrio (Italy).

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Section: Resultsmentioning

confidence: 99%

Section: Bim From Laser Clouds: Preserving Geometric Complexity With mentioning

confidence: 99%

Bim From Laser Clouds and Finite Element Analysis: Combining Structural Analysis and Geometric Complexity

Barazzetti

Banfi

Brumana

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Other authors, such as Oreni et al, [112][113][114] and Barazzetti et al, [115,116], argue that BIM software presents limitations for modeling non-standard architectural objects, characteristic of architectural heritage. Therefore, the integration of the Rhinoceros software is proposed to model the architectural components of the analyzed building and to generate the H-BIM library.…”

Section: Second Category: Bim Auxiliary Tools and Oss Methodologiesmentioning

confidence: 99%

A Review of Heritage Building Information Modeling (H-BIM)

López

Lerones

Llamas

et al. 2018

MTI

246

154

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Many projects concerning the protection, conservation, restoration, and dissemination of cultural heritage are being carried out around the world due to its growing interest as a driving force of socio-economic development. The existence of reliable, digital three-dimensional (3D) models that allow for the planning and management of these projects in a remote and decentralized way is currently a growing necessity. There are many software tools to perform the modeling and complete three-dimensional documentation of the intervened monuments. However, the Architecture, Engineering and Construction (AEC) sector has adopted the Building Information Modeling (BIM) standard over the last few decades due to the progress that has been made in its qualities and capabilities. The complex modeling of cultural heritage through commercial BIM software leads to the consideration of the concept of Heritage BIM (H-BIM), which pursues the modeling of architectural elements, according to artistic, historical, and constructive typologies. In addition, H-BIM is considered to be an emerging technology that enables us to understand, document, advertize, and virtually reconstruct the built heritage. This article is a review of the existing literature on H-BIM and its effective implementation in the cultural heritage sector, exploring the effectiveness and the usefulness of the different methodologies that were developed to model families of elements of interest.

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“…was much more complicated for the lack of commercial solutions for BIM generation able to take into account the level of detail encapsulated into laser point clouds (Eastman et al, 2008;Lee et al, 2006). For this reason, the procedure proposed by Oreni et al (2014b) was used to create parametric BIM objects based on surfaces made up of NURBS curves and NURBS surfaces (Piegl and Tiller, 1997;. Shown in Fig.…”

Section: Point Clouds Turned Into Hbimmentioning

confidence: 99%

“…Building Information Modelling is based on intelligent objects with relations to other objects, attributes, and parametric modelling tools. The use of advanced NURBS surfaces turned into complete HBIM objects was proposed by Oreni et al (2014b) to avoid excessive simplifications resulting in models not useful for conservation. On the other hand, the information encapsulated into the model can be used to extract different kinds of solutions for different kinds of users.…”

Section: Introductionmentioning

confidence: 99%

HBIM and augmented information: towards a wider user community of image and range-based reconstructions

Barazzetti

Banfi

Brumana

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper describes a procedure for the generation of a detailed HBIM which is then turned into a model for mobile apps based on augmented and virtual reality. Starting from laser point clouds, photogrammetric data and additional information, a geometric reconstruction with a high level of detail can be carried out by considering the basic requirements of BIM projects (parametric modelling, object relations, attributes). The work aims at demonstrating that a complex HBIM can be managed in portable devices to extract useful information not only for expert operators, but also towards a wider user community interested in cultural tourism. Fig. 1. A detailed HBIM can be generated from a combinations of laser scans, digital images, total station data, existing drawings, thermographic analysis, historical research, non-destructive tests (NDTs) and minor destructive tests (MDTs), etc. The HBIM is then handled at different levels in mobile devices and apps for virtual reality and augmented reality. This allows the involvement of expert operators (restorers, architects, engineers, archaeologists, historian, …) and people interested in cultural tourism.

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Beyond Crude 3D Models: From Point Clouds to Historical Building Information Modeling via NURBS

Cited by 33 publications

References 12 publications

Bim From Laser Clouds and Finite Element Analysis: Combining Structural Analysis and Geometric Complexity

Bim From Laser Clouds and Finite Element Analysis: Combining Structural Analysis and Geometric Complexity

A Review of Heritage Building Information Modeling (H-BIM)

HBIM and augmented information: towards a wider user community of image and range-based reconstructions

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