Modelling and strength evaluation of masonry bridges using terrestrial photogrammetry and finite elements

Stavroulaki, Maria; Riveiro, Belén; Drosopoulos, Georgios Α.; Solla, Mercedes; Koutsianitis, Panagiotis; Stavroulakis, Georgios Ε.

doi:10.1016/j.advengsoft.2015.12.007

Cited by 68 publications

(34 citation statements)

References 25 publications

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“…In terrestrial applications it is still necessary to perform time-consuming and hazardous activities, such as placing ground control points on the analysed scenario (Stavroulaki et al, 2016), if not supported by other technologies (Forlani et al, 2014). In this framework UAV photogrammetry has the following advantages: real-time, flexibility, high-resolution, low costs, as it allows the collection of information in dangerous environments without risk (Chang-chun et al 2011).…”

Section: Uav and Ground-based Methodsmentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

253

146

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Background: The current availability of advanced remote sensing technologies in the field of landslide analysis allows for rapid and easily updatable data acquisitions, improving the traditional capabilities of detection, mapping and monitoring, as well as optimizing fieldwork and investigating hazardous or inaccessible areas, while granting at the same time the safety of the operators. Among Earth Observation (EO) techniques in the last decades optical Very High Resolution (VHR) and Synthetic Aperture Radar (SAR) imagery represent very effective tools for these implementations, since very high spatial resolution can be obtained by means of optical systems, and by the new generations of sensors designed for interferometric applications. Although these spaceborne platforms have revisiting times of few days they still cannot match the spatial detail or time resolution achievable by means of Unmanned Aerial Vehicles (UAV) Digital Photogrammetry (DP), and ground-based devices, such as Ground-Based Interferometric SAR (GB-InSAR), Terrestrial Laser Scanning (TLS) and InfraRed Thermography (IRT), which in the recent years have undergone a significant increase of usage, thanks to their technological development and data quality improvement, fast measurement and processing times, portability and cost-effectiveness. In this paper the potential of the abovementioned techniques and the effectiveness of their synergic use is explored in the field of landslide analysis by analyzing various case studies, characterized by different slope instability processes, spatial scales and risk management phases. Results: Spaceborne optical Very High Resolution (VHR) and SAR data were applied at a basin scale for analysing shallow rapid-moving and slow-moving landslides in the emergency management and post-disaster phases, demonstrating their effectiveness for post-disaster damage assessment, landslide detection and rapid mapping, the definition of states of activity and updating of landslide inventory maps. The potential of UAV-DP for very high resolution periodical checks of instability phenomena was explored at a slope-scale in a selected test site; two shallow landslides were detected and characterized, in terms of areal extension, volume and temporal evolution. The combined use of GB-InSAR, TLS and IRT ground based methods, was applied for the surveying, monitoring and characterization of rock slides, unstable cliffs and translational slides. These applications were evaluated in the framework of successful rapid risk scenario evaluation, long term monitoring and emergency management activities. All of the results were validated by means of field surveying activities.

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Section: Uav and Ground-based Methodsmentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

253

146

View full text Add to dashboard Cite

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“…Conde et al (2017) used, among other non-destructive techniques, laser scanning to obtain all the necessary geometric data to build a detailed 3D finite element model of a masonry arch bridge. Stavroulaki et al (2016) used laser scanning and photogrammetry to reduce the time needed to produce a realistic 3D geometric model of a masonry bridge. J auregui et al (2009) showed that photogrammetry can be used to obtain measurements that would typically be acquired during routine inspections of a prestressed concrete bridge.…”

Section: Introductionmentioning

confidence: 99%

3D reconstruction of existing concrete bridges using optical methods

Popescu

Täljsten

Blanksvärd

et al. 2019

Structure and Infrastructure Engineering

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Routine bridge inspections usually consist of visual observations. These inspections are time-consuming and subjective. There is a need to identify new inspection techniques for infrastructure that reduce traffic disturbance, and improve the efficiency and reliability of the acquired data. This study compared the performance of three different imaging technologies for the three-dimensional (3D) geometric modeling of existing structures: terrestrial laser scanning, close-range photogrammetry, and infrared scanning. Each technology was used to assess six existing concrete railway bridges. The technologies were compared in terms of geometric deviations, visualization capabilities, the level of the inspector's experience, and degree of automation. The results suggest that all methods investigated can be used to create 3D models, however, with different level of completeness. Measurements such as span length, deck widths, etc. can be extracted with good accuracy. Although promising, a full off-site inspection is currently not feasible as some areas of the bridges were difficult to capture mainly due to restricted access and narrow spaces. Measurements based on terrestrial laser scanning were closer to the reality compared to photogrammetry and infrared scanning. The study indicates the no special training is needed for photogrammetry and infrared scanning to generate a 3D geometric model.

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“…Their complex geometries inform that it is imperative to capture as accurately as possible their geometries and represent these in advanced numerical methods for their structural analysis. Over the last few years, significant research focus has been put on the development of semiautomated and fully automated procedures to transform three-dimensional point clouds of complex objects into a three-dimensional finite-and discrete-element geometric models for the structural analysis of historic structures [43][44][45]. By coupling the SOCH system with the current engineering approach for structural inspection and assessment using point clouds, a high degree of automation at each operational level can be obtained and outcomes of this approach could be beneficial for engineers and asset managers who want to classify and assess the structural condition of their historic assets and device action plans.…”

Section: Discussionmentioning

confidence: 99%

Share Our Cultural Heritage (SOCH): Worldwide 3D Heritage Reconstruction and Visualization via Web and Mobile GIS

Dhonju

Xiao

Mills

et al. 2018

IJGI

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Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, heritage discovery and conservation remain a huge challenge for both developed and developing countries, with heritage sites often inadequately cared for, be it due to a lack of resources, nonrecognition of the value by local people or authorities, human conflict, or some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH), which can be utilized for large-scale heritage documentation and sharing. Supported by web and mobile GIS, cultural heritage data such as textual stories, locations, and images can be acquired via portable devices. These data are georeferenced and presented to the public via web-mapping. Using photogrammetric modelling, acquired images are used to reconstruct heritage structures or artefacts into 3D digital models, which are then visualized on the SOCH web interface to enable public interaction. This end-to-end system incubates an online virtual community to encourage public engagement, raise awareness, and stimulate cultural heritage ownership. It also provides valuable resources for cultural heritage exploitation, management, education, and monitoring over time.

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Modelling and strength evaluation of masonry bridges using terrestrial photogrammetry and finite elements

Cited by 68 publications

References 25 publications

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

3D reconstruction of existing concrete bridges using optical methods

Share Our Cultural Heritage (SOCH): Worldwide 3D Heritage Reconstruction and Visualization via Web and Mobile GIS

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