Diagnosis of heritage buildings by non-destructive techniques /
Besides their notable historical and cultural significance, heritage buildings crucially contribute to the economy of those countries that rely heavily on the tourism industry. Investigation and monitoring of the origins of deterioration and damage are therefore key to the preservation of architectu...
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| Drugi avtorji: | , |
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| Format: | eKnjiga |
| Jezik: | angleščina |
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Cambridge, MA :
Woodhead Publishing,
2024.
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| Serija: | Woodhead Publishing series in civil and structural engineering
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| Teme: | |
| Online dostop: | ScienceDirect |
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| 008 | 240504s2024 mau o 000 0 eng d | ||
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| 082 | 0 | 4 | |a 624.1/7 |2 23/eng/20240513 |1 https://id.oclc.org/worldcat/ddc/E44GdgTxCRXqP8JqTK6v4jPQfF |
| 245 | 0 | 0 | |a Diagnosis of heritage buildings by non-destructive techniques / |c edited by Blanca Tejedor Herrán, David Bienvenido-Huertas. |
| 260 | |a Cambridge, MA : |b Woodhead Publishing, |c 2024. | ||
| 300 | |a 1 online resource | ||
| 490 | 0 | |a Woodhead Publishing series in civil and structural engineering | |
| 505 | 0 | |a Front Cover -- Diagnosis of Heritage Buildings by Non-Destructive Techniques -- Copyright Page -- Contents -- List of contributors -- I. Basic Foundations of Non-Destructive Testing (NDT) Techniques -- 1 A comprehensive overview of NDT: From theoretical principles to implementation -- 1.1 Introduction -- 1.2 Foundations of non-destructive testing techniques -- 1.2.1 Qualitative and quantitative infrared thermography -- 1.2.2 Photogrammetry and laser scanning -- 1.2.3 Heat-flux meter -- 1.2.4 Airtightness measurements -- 1.2.5 Interoperability of traditional approaches with heritage building information modeling and AI -- 1.3 Conclusion -- Declaration of competing interest -- References -- II. Infrared Thermography (IRT) -- 2 Advancement of infrared thermography for built heritage -- 2.1 Introduction -- 2.2 Methods and purpose of the inspection -- 2.2.1 Inspection of the building elements -- 2.2.1.1 Vertical structures -- Finishing detachment -- Cracking -- 2.2.1.2 Hidden structures -- Example of discontinuity inside solid masonry -- Example of the thermal behavior of dry-stone retaining walls as diffuse heritage -- 2.2.1.3 Horizontal structures -- Floors (girders, shingles, laths, and paving) -- Vaults and ceilings -- Roofs -- 2.2.1.4 Moisture diffusion and water content -- Capillary rising -- Water condensation -- Leakage and infiltration -- 2.2.1.5 Testing procedure of the passive approach -- 2.2.1.6 Results and discussion -- 2.2.2 Constraints on the in-field applications of IRT -- 2.3 Conclusion -- Acknowledgments -- References -- 3 Evaluation of the envelope airtightness by means of combined infrared thermography and pressurization tests in heritage b... -- 3.1 Introduction -- 3.1.1 Background -- 3.2 Materials and methods -- 3.2.1 Case study -- 3.2.1.1 History and context of the building -- 3.2.1.2 Building characterization. | |
| 505 | 8 | |a 3.2.2 Pressurization of the building envelope -- 3.2.3 Infrared thermography -- 3.2.4 Infrared thermography combined with pressurization -- 3.3 Results -- 3.3.1 Air permeability -- 3.3.2 Evaluation of leakages -- 3.4 Discussion -- 3.5 Conclusion -- References -- 4 Integration of historical studies and ND techniques for the structural characterization of the masonry walls in Palazzo V... -- 4.1 Introduction -- 4.2 Methodological framework -- 4.3 Structural characterization of the masonry walls of Palazzo Vecchio -- 4.3.1 Localization and historical evolution -- 4.3.2 Investigation procedure -- 4.3.3 Identification of masonry typologies and determination of the mechanical values -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Applications of deep learning to infrared thermography for the automatic classification of thermal pathologies: Review an... -- 5.1 Introduction -- 5.2 Related work -- 5.3 Case study -- 5.3.1 Acquisition process -- 5.3.1.1 Point cloud data -- 5.3.1.2 Thermal infrared data -- 5.3.2 Deep learning application to infrared data -- 5.3.2.1 Point cloud-based geometric characterization -- 5.4 Conclusions and future challenges -- References -- 6 Analyzing non-destructive methods for building inspection and energy performance: A focus on photogrammetry and infrared ... -- 6.1 Introduction -- 6.2 Research methodology -- 6.2.1 Time evolution -- 6.2.2 Geographical distribution of studies -- 6.2.3 Disciplinary fields of study -- 6.2.4 Indexed keywords -- 6.3 Non-destructive testing methods -- 6.3.1 Digital image processing -- 6.3.2 Photogrammetry (P) -- 6.3.3 Stereophotogrammetry (SP) -- 6.3.4 Terrestrial aser scanning -- 6.3.5 Ambient vibration test (AVT) -- 6.3.6 Infrared thermography -- 6.3.7 Ground penetrating radar -- 6.3.8 Fan pressurization method -- 6.3.9 Ultrasonic pulse velocity (UPV) -- 6.3.10 Heat flow meter. | |
| 505 | 8 | |a 6.4 Literature review -- 6.5 Thermography and photogrammetry -- 6.5.1 Thermography -- 6.5.2 Photogrammetry -- 6.6 Conclusions and future perspectives -- 6.6.1 Building Information Modeling -- 6.6.2 Artificial neural networks -- Acknowledgments -- References -- III. Laser Scanning and Photogrammetry -- 7 Architectural survey of built heritage using laser scanning and photogrammetry. Comparison of results in the case study o... -- Abbreviations -- 7.1 Introduction -- 7.1.1 Church of San Vicente in Donostia-San Sebastìn (Basque Country, Spain) -- 7.2 Materials and methods -- 7.3 Results and discussion -- 7.3.1 Photogrammetry -- 7.3.2 Total station -- 7.3.3 TLS results -- 7.4 Conclusion -- Acknowledgments -- References -- 8 Intelligent recording of cultural heritage: From point clouds to semantic enriched models -- 8.1 Overview -- 8.1.1 Motivation -- 8.1.2 Geometric and radiometric approaches for cultural heritage classification: literature review -- 8.1.3 Artificial intelligence approaches for cultural heritage classification: literature review -- 8.1.3.1 Machine Learning -- 8.1.3.2 Deep learning -- 8.1.3.3 Graph learning -- 8.1.4 Existing benchmarks and tools -- 8.1.5 Aim and contribution of this chapter -- 8.2 Methodology -- 8.2.1 Point cloud filtering -- 8.2.2 Segmentation pipeline -- 8.2.2.1 Introduction -- 8.2.2.2 Neighborhood in a 3D point cloud -- 8.2.2.3 Principal component analysis -- 8.2.2.4 Dimensionality analysis -- 8.2.2.5 Calculation of normal vectors -- 8.2.2.6 Clustering and region growing -- 8.2.3 Artificial intelligence classification pipeline -- 8.2.3.1 Random forest -- 8.2.3.2 Assessing semantic classification quality -- 8.3 Results and discussion -- 8.4 Conclusion -- References -- 9 Investigating the use of 3D laser scanning to detect damaged features in heritage buildings -- 9.1 Introduction. | |
| 505 | 8 | |a 9.1.1 3D scanning in cultural heritage -- 9.1.2 Limitations of terrestrial laser scanning -- 9.1.2.1 Financial -- 9.1.2.2 Operational -- 9.2 Methodology -- 9.2.1 Case study: St John the Baptist Church in Nottingham, United Kingdom -- 9.2.2 3D laser scanning -- 9.2.2.1 Registration diagnostics -- 9.2.3 Geometric and accuracy analysis -- 9.2.3.1 Assessing the terrestrial laser scanning survey layout -- 9.2.3.2 Accuracy analysis -- Point deviation analysis -- Accuracy of damage modeling: 3D meshing -- 9.2.4 Equipment used -- 9.3 Results and discussion -- 9.3.1 Suitability of terrestrial laser scanning surveying characteristics for damage detection on heritage buildings -- 9.3.1.1 Accuracies of station clouds -- Station D against the ground truth (AB) -- Station C against the ground truth (AB) -- Stations D and C combined against the ground truth (AB) -- Stations B and A against the ground truth (AB) -- 9.3.1.2 Accuracies of 3D meshes -- Smooth mesh (AB, Octree level 9) against the reference mesh (AB, Octree level 10) -- 9.3.2 Limitations -- 9.4 Conclusion -- Acknowledgments -- References -- 10 Comparison of results obtained by photogrammetry tools versus LED handheld scanning technique in architectural heritage.... -- 10.1 Introduction -- 10.1.1 Background -- 10.1.2 Literature review -- 10.1.3 Problem statement -- 10.2 Materials and methods -- 10.2.1 Data acquisition -- 10.2.1.1 Photogrammetric technique -- 10.2.1.2 Handheld LED scanner technique -- 10.2.2 Data postprocessing -- 10.2.2.1 Photogrammetric technique -- 10.2.2.2 Handheld scanner technique -- 10.2.3 Analysis procedure -- 10.3 Results and discussion -- 10.3.1 3D model from digital photogrammetry -- 10.3.2 3D model from handheld scan -- 10.3.3 Comparison of workflows and results between 3D models -- 10.4 Conclusion -- References. | |
| 505 | 8 | |a 11 Exploring the accessibility of deformed digital heritage models -- 11.1 Introduction -- 11.1.1 Accessibility -- 11.1.2 Toward accessible cultural heritage in Europe -- 11.1.3 Digitization and modeling technologies for complex heritage shapes -- 11.2 Research aim -- 11.3 Methodology -- 11.4 Accessibility of deformed digital heritage models -- 11.4.1 Disabilities -- 11.4.2 Multidisciplinary collaboration (collaborative platforms, geographic information system, and HBIM) -- 11.4.3 Open access, repositories, and virtual museums -- 11.4.4 Immersive experiences -- 11.5 Conclusion -- Acknowledgments -- Artificial intelligence disclosure -- References -- 12 Sensor integration for built heritage diagnostics: From aerial and terrestrial photogrammetry to simultaneous localizati... -- 12.1 Introduction -- 12.2 Materials and methods -- 12.3 Application to case studies -- 12.3.1 The "Pagliare di Fontecchio" AQ -- 12.3.2 The town of Civitacampomarano (CB) -- 12.3.3 The San Giorgio Palace -- 12.3.4 The Church of Santa Maria and Pietro in Castello, Fagnano Alto (AQ) -- 12.4 Discussion -- 12.5 Conclusion -- References -- IV. Heritage Building Information Modeling (BIM) and Digital Twins (DTs) -- 13 From a multidisciplinary analysis to HBIM: Unnecessary repetition. Tools for the digital documentation of historical bui... -- 13.1 Introduction -- 13.2 Materials and methods -- 13.3 The HBIM of built heritage: Potential and application -- 13.3.1 Modeling of stratigraphic masonry units and management in HBIM -- 13.3.2 Parametric modeling of decay forms potential and application cases -- 13.3.3 The modeling of the monitoring system and the correlation with data -- 13.4 Discussion and final remarks -- References -- 14 Automating built heritage inspection using unmanned aerial systems: A defect management framework based on heritage buil... -- 14.1 Introduction. | |
| 520 | |a Besides their notable historical and cultural significance, heritage buildings crucially contribute to the economy of those countries that rely heavily on the tourism industry. Investigation and monitoring of the origins of deterioration and damage are therefore key to the preservation of architectural heritage.Diagnosis of Heritage Buildings by Non-Destructive Techniques offers an up-to-date overview of state-of-the-art knowledge by collating specialized studies written by an international group of experts in the field, while also examining the value of these non-intrusive methods through a number of real-life case studies which prove NDT techniques' global relevance. The volume is an invaluable reference resource for students, researchers, and practitioners alike.- Helps readers to easily identify the latest advances in non-destructive testing by subdividing the content into sections specific to each assessment approach- Explores the integration of different NDT methodologies, facilitating the interoperability of traditional and advanced technologies- Presents case studies based on real built heritage to show how to correctly implement the measurement techniques described, and to interpret the results. | ||
| 650 | 0 | |a Structural health monitoring. | |
| 650 | 0 | |a Historic buildings. | |
| 650 | 6 | |a Surveillance de l'état des structures. |0 (CaQQLa)000264228 | |
| 650 | 7 | |a Historic buildings |2 fast |0 (OCoLC)fst00957723 | |
| 650 | 7 | |a Structural health monitoring |2 fast |0 (OCoLC)fst01748414 | |
| 650 | 7 | |a Modelatge d'informaci̤ de construcci̤. |2 lemac | |
| 650 | 7 | |a Edificis hisṭrics |x Conservaci̤ i restauraci̤. |2 lemac | |
| 650 | 7 | |a Patrimoni cultural |x Protecci̤. |2 lemac | |
| 650 | 7 | |a Assaigs no destructius. |2 lemac | |
| 700 | 1 | |a Herrán, Blanca Tejedor. | |
| 700 | 1 | |a Bienvenido-Huertas, David. | |
| 776 | 0 | 8 | |i Print version: |z 0443160015 |z 9780443160011 |w (OCoLC)1394113582 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443160011 |