As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain

Antón, Daniel; Pineda, Paloma; Medjdoub, Benachir; Iranzo, Alfredo

doi:10.3390/rs11111276

Cited by 38 publications

(30 citation statements)

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“…Progress on adapting complex shapes to parametric elements is respectively made by Antón et al [8], and Nieto, Antón and Moyano [5]. The former authors converted the point cloud data into as-built 3D solid objects as IFC entities to become part of the HBIM project, which enables the accurate analysis of the heritage city [9] by considering the geometrical alterations of the assets. The latter [5] used Boolean operations within the ArchiCAD®BIM platform to implement and manage structural deformations on walls.…”

Section: Related Workmentioning

confidence: 99%

“…Second, using a sample small mullion column in the patio, with a point cloud consisting of 11,493 points, and a mesh with 1704 faces and 854 points. The geometry comparison was performed as per [8,9], using CloudCompare software to compute the cloud-to-mesh distances (Figure 18 and Figure 19). Figure 18.…”

Section: Accuracy Evaluationmentioning

confidence: 99%

“…The abscissa axis represents the distance intervals between the two 3D objects, and the ordinate axis shows the number of points in each interval. The 'zero' deviation value on the X-axis represents the correspondence between the objects compared-3D mesh and point cloud [8,9]. In other words, it is the interval in which the distance between the mesh and the point cloud is null.…”

Section: Accuracy Evaluationmentioning

confidence: 99%

“…The HBIM enables the digital reconstitution of heritage assets [6,7] by considering their actual geometrical alterations [8,9]. In addition, diverse simulations can be performed on these models, such as structural behaviour assessment [6,[10][11][12], sustainability [13,14], restoration decision criteria [3], Scan-to-BIM [5][6][7][8][9][10][11][12][13][14][15][16][17][18], safety at work [2], among others; that is, multitude fields of knowledge and implementation environments use these technologies. In this regard, however, Bassier et al [19] highlighted the difficulty in exchanging data between diverse software and BIM platforms due to compatibility issues, especially with structural behaviour assessment applications.The HBIM has reached public and private institutions, as well as end-users and professionals in the fields of heritage and construction.…”

mentioning

confidence: 99%

“…The reason for this is that certain BIM platforms, e.g., ArchiCAD®or Autodesk Revit® [34], enable the insertion of 2D drawings in PDF format. There are other works that addressed mesh or point cloud conversion algorithms to improve 3D elements in newly constructed buildings [35][36][37][38] and heritage buildings [8,9,27,39]. produced parametric objects with geometrical alterations and further information under the HBIM approach.…”

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confidence: 99%

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From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

et al. 2020

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Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

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Section: Related Workmentioning

confidence: 99%

Section: Accuracy Evaluationmentioning

confidence: 99%

Section: Accuracy Evaluationmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

et al. 2020

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Finite element analysis with deformed shape constraints generated by laser‐scanned point clouds

Haraki,

Yusa,

Masuda

2024

Numerical Meth Engineering

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This article proposes a computational method for finite element analysis with deformed shape constraints for analyzing constructed structures to account for deformations that occur before shape measurement by a terrestrial laser scanner (TLS). In this method, point clouds obtained by a TLS are considered as a partial surface of the deformed structure. An analysis model is assumed to be created from CAD data or drawings. The analysis is performed under deformed shape constraints, namely, the deformed surface constraints or the normal vector constraints, which are generated by the point clouds. These constraints are introduced to reproduce the current displacements and stresses for the structure through the analysis. This method was applied to analyses of a plate and a desk using point clouds, which were created virtually on a computer or obtained by a TLS in the numerical examples. The results showed that this method can consider unexpected deformations that occur before laser scanning. Although the computed stresses oscillated when the scanned point cloud was used due to measurement errors and conventional point cloud processing methods, the stress values were responsive enough to indicate unnatural shapes of the deformed structure. Moreover, the oscillation was observed only in areas with constraints, whereas it was not seen in areas without constraints.

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Learning from the Past for a Sustainable Future: Environmental Monitoring and 3D Modelling to Assess the Thermal Performance of Heritage Buildings

Antón,

Al-Habaibeh,

Queiroz

2023

Springer Proceedings in Energy

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There are numerous lessons to be learned from historic buildings, such as the rich diversity of their traditional architecture, the use of natural and local materials, their durability and resilience, or because they allow for thermal comfort in severe climatic and weather conditions. Today, many of these heritage buildings are still standing and in use, but their shape may have changed significantly from when they were built. In this sense, to accurately analyse historic buildings, 3D models that approximate their geometry (as-is/as-built models) must be produced. Based on terrestrial laser scanning 3D point clouds, as-is 3D modelling can represent the geometrical alterations of the assets to enable diverse analyses and simulations. This work addresses Ye Olde Trip to Jerusalem building, claimed to be the oldest inn in England, UK (1189 AD). Hence, this historic building presents numerous deformations such as warped and tilted walls, recess in walls, non-planar ceilings, and an irregular arrangement of bent ceiling beams. This Grade II listed building is located near Nottingham Castle, beneath Castle Rock, the natural promontory on which the castle is situated. A part of the inn is inside rock-hewn caves under Castle Rock, making it a unique landmark with special indoor thermal conditions. Due to the complex geometry of the building, laser scanning-based 3D modelling is found essential to communicate the building’s features to help understand its thermal behaviour. This paper aims to investigate how Ye Olde Trip to Jerusalem building is capable of regulating indoor temperature and humidity in different locations, for which the as-is 3D modelling and environmental monitoring of this historic building are discussed. Based on the findings, the lessons learnt from studying old buildings could be utilised to enhance the sustainability of modern buildings.

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As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain

Cited by 38 publications

References 42 publications

From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

Finite element analysis with deformed shape constraints generated by laser‐scanned point clouds

Learning from the Past for a Sustainable Future: Environmental Monitoring and 3D Modelling to Assess the Thermal Performance of Heritage Buildings

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