Historical plasters on light thin vaults: State of conservation assessment by a Hybrid ultrasonic method

Quagliarini, Enrico; Revel, Gian Marco; Lenci, Stefano; Seri, Elena; Cavuto, A.; Pandarese, Giuseppe

doi:10.1016/j.culher.2013.04.008

Cited by 12 publications

(6 citation statements)

References 13 publications

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“…One of the most common NDT techniques to estimate the mechanical properties of building materials is the ultrasonic pulse velocity (UPV) method, which has been proved to be useful to identify the mechanical properties, anisotropy, compactness and presence of discontinuities in rocks (7)(8)(9)(10)(11). Several works have applied this technique to assess the state of conservation of historical buildings (8,(12)(13)(14). UPV also has been used in combination with other NDT techniques, such as ground-penetrating radar, which has a wide range and allows high resolution of up to ten centimeters from a centimeter (14), and the Leeb rebound hardness test (7).…”

Section: Introductionmentioning

confidence: 99%

Free-free resonance method for the mechanical characterization of carbonate rocks used as building stones

et al. 2022

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Nondestructive testing techniques have attracted growing interest in the last few years due to their ability to assess material properties without damaging the specimens. The free-free resonance method is a nondestructive testing technique based on the analysis of the natural frequencies of a sample. This study presents and discusses the applicability of this technique, traditionally used on soils, for the mechanical characterization of rocks. With this aim, the free-free resonance method is used to obtain the dynamic elastic modulus and shear modulus of four carbonate rocks that have been widely used as construction materials in southern Spain. The results from the nondestructive evaluation of dry and saturated rocks, in combination with petrographic characterization and uniaxial compression tests, make it possible to assess the existing relationships between the mechanical properties of carbonate rocks and to evaluate the impact of porosity and moisture content on their mechanical behavior.

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Section: Introductionmentioning

confidence: 99%

Free-free resonance method for the mechanical characterization of carbonate rocks used as building stones

et al. 2022

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“…Cultural heritage around the world, such as ancient buildings, grottoes, and murals, is suffering destruction and degradation due to natural disasters, anthropogenic activities, and a lack of maintenance. Damage investigation of large cultural buildings, such as onsite surveys conducted with the help of instruments [1,2], is time-consuming, laborintensive, and technically complex, and it cannot satisfy the needs of timely maintenance and preservation of large heritage structures [3]. In addition, some cultural buildings in remote, wild areas with harsh environments are impossible to reach and perform spot investigations of.…”

Section: Introductionmentioning

confidence: 99%

Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China)

et al. 2021

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Automated damage evaluation is of great importance in the maintenance and preservation of heritage structures. Damage investigation of large cultural buildings is time-consuming and labor-intensive, meaning that many buildings are not repaired in a timely manner. Additionally, some buildings in harsh environments are impossible to reach, increasing the difficulty of damage investigation. Oblique images facilitate damage detection in large buildings, yet quantitative damage information, such as area or volume, is difficult to generate. In this paper, we propose a method for quantitative damage evaluation of large heritage buildings in wild areas with repetitive structures based on drone images. Unlike existing methods that focus on building surfaces, we study the damage of building components and extract hidden linear symmetry information, which is useful for localizing missing parts in architectural restoration. First, we reconstruct a 3D mesh model based on the photogrammetric method using high-resolution oblique images captured by drone. Second, we extract 3D objects by applying advanced deep learning methods to the images and projecting the 2D object segmentation results to 3D mesh models. For accurate 2D object extraction, we propose an edge-enhanced method to improve the segmentation accuracy of object edges. 3D object fragments from multiple views are integrated to build complete individual objects according to the geometric features. Third, the damage condition of objects is estimated in 3D space by calculating the volume reduction. To obtain the damage condition of an entire building, we define the damage degree in three levels: no or slight damage, moderate damage and severe damage, and then collect statistics on the number of damaged objects at each level. Finally, through an analysis of the building structure, we extract the linear symmetry surface from the remaining damaged objects and use the symmetry surface to localize the positions of missing objects. This procedure was tested and validated in a case study (the Jiankou Great Wall in China). The experimental results show that in terms of segmentation accuracy, our method obtains results of 93.23% mAP and 84.21% mIoU on oblique images and 72.45% mIoU on the 3D mesh model. Moreover, the proposed method shows effectiveness in performing damage assessment of objects and missing part localization.

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“…In each case, the assessment of the state of conservation and risk of historical buildings usually needs different steps [5][6][7][8], starting from a geometrical and photographic survey and an in-depth analysis of architectural and constructive characteristics, up to a survey of the displacements, crack-pattern and decay framework, as well as laboratory and in situ analyses and historical documentation. This is traditionally a cost-and time-demanding process and, if carried out when, i.e.…”

Section: Introductionmentioning

confidence: 99%

Fast, low cost and safe methodology for the assessment of the state of conservation of historical buildings from 3D laser scanning: The case study of Santa Maria in Portonovo (Italy)

Quagliarini

Clini

Ripanti

2017

Journal of Cultural Heritage

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Historical plasters on light thin vaults: State of conservation assessment by a Hybrid ultrasonic method

Cited by 12 publications

References 13 publications

Free-free resonance method for the mechanical characterization of carbonate rocks used as building stones

Free-free resonance method for the mechanical characterization of carbonate rocks used as building stones

Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China)

Fast, low cost and safe methodology for the assessment of the state of conservation of historical buildings from 3D laser scanning: The case study of Santa Maria in Portonovo (Italy)

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