Integrated Use of Measurements for the Structural Diagnosis in Historical Vaulted Buildings

Cardani, Giuliana; Angjeliu, Grigor

doi:10.3390/s20154290

Cited by 14 publications

(4 citation statements)

References 23 publications

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“…Static monitoring continuously measures strain, stress, deformation, tilt, and displacement [46]. These parameters usually fluctuate slowly in the absence of dynamic events (e.g., earthquakes, tsunamis, etc.).…”

Section: Static Monitoring Systemsmentioning

confidence: 99%

Structural Health Monitoring and Management of Cultural Heritage Structures: A State-of-the-Art Review

Rossi

Bournas

2023

Applied Sciences

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In recent decades, the urgency to protect and upgrade cultural heritage structures (CHS) has become of primary importance due to their unique value and potential areas of impact (economic, social, cultural, and environmental). Structural health monitoring (SHM) and the management of CHS are emerging as decisive safeguard measures aimed at assessing the actual state of the conservation and integrity of the structure. Moreover, the data collected from SHM are essential to plan cost-effective and sustainable maintenance solutions, in compliance with the basic preservation principles for historic buildings, such as minimum intervention. It is evident that, compared to new buildings, the application of SHM to CHS is even more challenging because of the uniqueness of each monitored structure and the need to respect its architectural and historical value. This paper aims to present a state-of-the-art evaluation of the current traditional and innovative SHM techniques adopted for CHS and to identify future research trends. First, a general introduction regarding the use of monitoring strategies and technologies for CHS is presented. Next, various traditional SHM techniques currently used in CHS are described. Then, attention is focused on the most recent technologies, such as fibre optic sensors and smart-sensing materials. Finally, an overview of innovative methods and tools for managing and analysing SHM data, including IoT-SHM systems and the integration of BIM in heritage structures, is provided.

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Section: Static Monitoring Systemsmentioning

confidence: 99%

Structural Health Monitoring and Management of Cultural Heritage Structures: A State-of-the-Art Review

Rossi

Bournas

2023

Applied Sciences

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“…In the second case the adaptive family (Figure 5) that used control points to position the vault's support and adapt its shape, resulted to have several inaccuracies and deviation, visible between the mesh and the original point cloud (Cardani, 2020).…”

Section: Geometrical Survey and 3d Modellingmentioning

confidence: 99%

Heritage Decay Visible in Hbim Models

Bolognesi,

Garipova,

Kuznetsova

2023

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

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Abstract. The research purpose aims to develop and analyse a workflow centred around decay representation within a selected BIM modelling environment. It involves conducting a comparative analysis based on accuracy criteria, process complexity, estimation of processing time, and the advantages and disadvantages of different methodologies explored. The objective of this research is to enhance the modelling process for building description by incorporating the representation of decay verified within the 3D model. The workflow proposed starts from a digital survey of a cultural heritage architecture and subsequent BIM modelling that generates significant interest within the scientific community not only from the advantages offered by the BIM process but also from the challenges encountered. One challenge relates to the complexity of modelling and unresolved interoperability issues between different NURBS and BIM modelers. Another challenge involves the time wasted in striving for a high degree of accuracy in existing models. Additionally, difficulties arise in uploading data encompassing historical information about the monument, previous renovations, material conditions, and overall state of the structure. Among these challenges, representing the decay state of an artifact within a model remains largely experimental and the paper will demonstrate the efficacy of its representation into a BIM model.

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“…ICP and its variants are widely used in several fields dealing with point cloud registration. Cardani et al [18] utilized ICP to fine-tune the alignment of LiDAR scans collected inside historical masonry vaults for survey and shape computation. Glira et al [19] performed strip adjustment of Airborne Laser Scanning (ALS) data while using several variants of the ICP algorithm.…”

Section: Introductionmentioning

confidence: 99%

An Image-Aided Sparse Point Cloud Registration Strategy for Managing Stockpiles in Dome Storage Facilities

et al. 2023

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Stockpile volume estimation plays a critical role in several industrial/commercial bulk material management applications. LiDAR systems are commonly used for this task. Thanks to Global Navigation Satellite System (GNSS) signal availability in outdoor environments, Uncrewed Aerial Vehicles (UAV) equipped with LiDAR are frequently adopted for the derivation of dense point clouds, which can be used for stockpile volume estimation. For indoor facilities, static LiDAR scanners are usually used for the acquisition of point clouds from multiple locations. Acquired point clouds are then registered to a common reference frame. Registration of such point clouds can be established through the deployment of registration targets, which is not practical for scalable implementation. For scans in facilities bounded by planar walls/roofs, features can be automatically extracted/matched and used for the registration process. However, monitoring stockpiles stored in dome facilities remains to be a challenging task. This study introduces an image-aided fine registration strategy of acquired sparse point clouds in dome facilities, where roof and roof stringers are extracted, matched, and modeled as quadratic surfaces and curves. These features are then used in a Least Squares Adjustment (LSA) procedure to derive well-aligned LiDAR point clouds. Planar features, if available, can also be used in the registration process. Registered point clouds can then be used for accurate volume estimation of stockpiles. The proposed approach is evaluated using datasets acquired by a recently developed camera-assisted LiDAR mapping platform—Stockpile Monitoring and Reporting Technology (SMART). Experimental results from three datasets indicate the capability of the proposed approach in producing well-aligned point clouds acquired inside dome facilities, with a feature fitting error in the 0.03–0.08 m range.

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Integrated Use of Measurements for the Structural Diagnosis in Historical Vaulted Buildings

Cited by 14 publications

References 23 publications

Structural Health Monitoring and Management of Cultural Heritage Structures: A State-of-the-Art Review

Structural Health Monitoring and Management of Cultural Heritage Structures: A State-of-the-Art Review

Heritage Decay Visible in Hbim Models

An Image-Aided Sparse Point Cloud Registration Strategy for Managing Stockpiles in Dome Storage Facilities

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