Prediction of tunnelling-induced effects on a historic building in Rome

Miliziano, S.; Caponi, Simone; Carlaccini, David; Lillis, A. de

doi:10.1016/j.tust.2021.104212

Cited by 8 publications

(7 citation statements)

References 25 publications

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“…In formula (1),  represents the azimuth of the laser pulse;  represents the pitch angle of the laser pulse. Because of the excessive fine data of ancient buildings, it is very difficult to construct the adaptive fusion model of multi-angle LiDAR measurement data.…”

Section: Fine Data Preprocessing Of Ancient Buildingsmentioning

confidence: 99%

“…In order to protect these cultural heritage, a large amount of research work needs to be conducted from multiple perspectives. Among them, fine virtual reconstruction technology is an important means of ancient building protection, which can quickly and accurately simulate 3D models based on actual building data, providing great help for the protection and research of ancient buildings [1]. However, due to the ancient nature of ancient architecture, the details and structure of buildings are often very complex, and the data collected by a single sensor is insufficient to fully describe the complex external and internal structures of ancient buildings [2].…”

Section: Introductionmentioning

confidence: 99%

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A fine virtual reconstruction algorithm for ancient buildings based on adaptive fusion model of multi angle LiDAR measurement data

Liu

2023

Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023)

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Due to the inconsistent color tones of ancient buildings, the accuracy of model construction is low. In order to improve the fine reconstruction effect of ancient buildings, a multi-angle LiDAR measurement data adaptive fusion model for fine virtual reconstruction of ancient buildings is proposed. Obtain fine data through data collection, preprocess the fine data of the ancient building, set judgment conditions based on the processing results, extract fine feature information of the ancient building from multi angle LiDAR measurement data, and achieve fine virtual reconstruction of the ancient building. The experimental results show that the fine virtual reconstruction scene under the proposed algorithm is clear and complete, and the reconstruction results of the length, width, and height of ancient buildings are consistent with the actual measurement results, with high accuracy and good results.

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Section: Fine Data Preprocessing Of Ancient Buildingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A fine virtual reconstruction algorithm for ancient buildings based on adaptive fusion model of multi angle LiDAR measurement data

Liu

2023

Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023)

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“…The result is a wide scope of topics. Several papers discuss the interaction between tunnelling and masonry constructions, whether real historic buildings (Masini and Rampello, 2021;Miliziano et al, 2022) or idealised cases (Amorosi and Sangirardi, 2021;Burd et al 2022), framed buildings (Franza et al, 2022;Schoen et al, 2022), metallic arch bridges (Faherty et al 2022) and jointed pipelines (Klar, 2022). Fewer papers focus on the impact of deep open excavations on existing tunnels (Mu et al, 2022;Zhao et al 2022) or buildings (Comodromos, 2021).…”

Section: Editorialmentioning

confidence: 99%

Special issue on building and infrastructure response to ground movement: Bridging the gap between geotechnical and structural modelling of SSI

Boldini

Broere²,

Franza³

et al. 2023

Tunnelling and Underground Space Technology

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“…Manuello et al [8] measured damage to precast concrete tunnels in real time using a multichannel acoustic emission system. Miliziano et al [9] predicted the impact of tunneling on Roman architecture through numerical analysis using the Mohr-Coulomb model. Zhou et al [10] monitored subway tunnel displacement based on a robotic total station (RTS) using a prism as a reflector.…”

Section: Introductionmentioning

confidence: 99%

Displacement Monitoring of Subway Tracks and Tunnels According to Adjacent Construction

Choi,

Ahn

2024

Applied Sciences

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In the Republic of Korea, large-scale deep excavation construction is being conducted adjacent to structures owing to overpopulation in urban areas. Securing the safety of earth-retaining and underground structures is crucial for adjacent excavation work in urban areas. Accordingly, an automated measurement system is used to monitor the behaviors of subway tunnels and track structures; however, the utilization of its results is extremely low. Existing techniques evaluate the safety of track and tunnel structures based on the measured maximum values. This study introduces an evaluation technique for improving behavior monitoring in subway tunnels and track structures. A substantial amount of long-term measurement data on subway tunnels and track deformation was quantitatively evaluated using the Gaussian probability density function. In addition, the results from the same location where the tunnel convergence meter (TL) and track bed settlement (RM) sensors were located were compared. The comparison results revealed a difference in the vertical displacement of the tunnel and track structure owing to adjacent excavation work. A technique to analyze the continuous behavior of the tunnel was presented by numerically analyzing the tunnel measurement results as input data. In addition, they emphasized the need for simultaneous monitoring of tracks and tunnels.

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Prediction of tunnelling-induced effects on a historic building in Rome

Cited by 8 publications

References 25 publications

A fine virtual reconstruction algorithm for ancient buildings based on adaptive fusion model of multi angle LiDAR measurement data

A fine virtual reconstruction algorithm for ancient buildings based on adaptive fusion model of multi angle LiDAR measurement data

Special issue on building and infrastructure response to ground movement: Bridging the gap between geotechnical and structural modelling of SSI

Displacement Monitoring of Subway Tracks and Tunnels According to Adjacent Construction

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