Detection of structural faults in piers of masonry arch bridges through automated processing of laser scanning data

Sánchez‐Rodríguez, Ana; Riveiro, Belén; Conde, Borja; Soilán, Mario

doi:10.1002/stc.2126

Cited by 30 publications

(15 citation statements)

References 15 publications

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“…12). This reconstruction matches the geometry of the bridge and would enable the application of automatic segmentation algorithms of the bridge parts [27,28], not being affected by the lack of data due to the damage of the structure. Geometrically, the reconstruction matches the dimensions of the cutwater, although at masonry level, the stones do not match exactly.…”

Section: Resultsmentioning

confidence: 91%

“…Later on, Riveiro et al developed a methodology for automatically segmenting their structural elements [27]. Concerning the inspection of masonry arch bridges, Sánchez-Rodríguez et al showed an automatic processing method for laser scanning data in order to detect faults in their piers [28]. Once the piers were isolated from the bridge, the azimuth and elevation angles of each face were evaluated.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Balado

Sánchez‐Rodríguez

2021

JASTT

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The digitisation of heritage is being rapidly realised in many parts of the world thanks to LiDAR technology. In addition to the simple digital preservation of heritage, 3D acquisition makes it possible to monitor the structural condition and assess possible damage. This paper presents a method for modelling the lost volume of a heritage bridge. The selected case study is the Fillaboa bridge, in Salvaterra de Miño, Spain, which has two cutwaters with the same cutting angle, one of which is damaged and has a stone loss. The bridge was acquired with a Terrestrial Laser Scanner. The method consists of the following processes. First, the walls of the whole cutwater are segmented and aligned by Iterative Closest Point algorithm over the damaged cutwater. Second, the distance between the two point clouds is calculated and the damaged area is delimited in both point clouds. And third, the alpha shape algorithm is applied to model the point cloud of the damaged area to a polygon. By searching for the optimal alpha radius, the polygon that best fits the damaged volume is generated. The proposed method also allows digital reconstruction of the damaged area, although it is sensitive to acquisition problems, which require manual interventions in the processing. The accuracy of the method is mainly dependent on the acquired point cloud registration (with an RMS error of 60mm) and the ICP registration error (31mm). Its use is limited to the existence of two geometries that allow superposition: one in good condition and one damaged to compare.

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Section: Resultsmentioning

confidence: 91%

Section: Related Workmentioning

confidence: 99%

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Balado

Sánchez‐Rodríguez

2021

JASTT

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“…Calculations for determining behavior provide the basic information needed to select restoration, repair and strengthening techniques suitable for historical buildings. The existing methods used to perform the analyzes have several advantages and disadvantages depending on the approaches and assumptions used [15][16][17]. In historical buildings, it is necessary to interpret the behavior occurring accurately and precisely.…”

Section: Introductionmentioning

confidence: 99%

Ayvalıkemer (Sillyon) historical masonry arch bridge: a multidisciplinary approach for structural assessment using point cloud data obtained by terrestrial laser scanning (TLS)

Batar

Tercan

Emsen

2021

J Civil Struct Health Monit

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Historical structures are cultural heritage constituents that convey the traces and characteristic features of civilizations to the present days. One of these structures, which are among the monumental artefacts, are historical bridges. To protect historical buildings, 3D photogrammetric documentation of these structures, detailed determination of geometric and material properties and performing computer-aided structural analysis using appropriate modelling techniques are very important. The aim of this study is to present an effective, reliable, and fast multidisciplinary approach for the analysis of historical masonry bridges. The aforementioned approach is presented as an example for the behavior of the recently restored historical Ayvalıkemer (Sillyon) masonry arch bridge under possible loadings. Terrestrial laser scanning (TLS) was used to determine the bridge geometry with high accuracy. The point cloud data obtained from TLS was simplified and a three-dimensional CAD based solid model of the structure was created. This solid body has been formed the basis of the macro model for structural analysis. CDP material model was used to describe the inelastic behavior of homogenized structure. Thus, an analysis was carried out which presents the structural behavior of a historical bridge with high accuracy and reliability. KeywordsTerrestrial laser scanning (TLS) • Structural analysis • Macro modelling • Sillyon (Ayvalıkemer) • Historical structures • Masonry arch bridges * Engin Emsen

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“…Law et al 21 used TLS data to identify and quantify the concrete loss of a structure with ongoing deterioration. A laser scan‐based automated inspection method was developed for determining the structural faults of piers in masonry arch bridges 22 . Zeibak‐Shini et al 23 used laser scan data for generating an initial “best‐guess” for the new locations of the façade structural members and then used the extracted information for a recursive process in which the location and damage to each object is refined.…”

Section: Introductionmentioning

confidence: 99%

Using extracted member properties for laser‐based surface damage detection and quantification

Erkal

Hajjar

2020

Struct Control Health Monit

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Many existing structures suffer from damage due to age or accumulated damage from hazards. It is important to accurately assess the present conditions of these aging, deteriorating, and damaged structures. In recent years, laser scanners have been increasingly used for capturing the in situ conditions of structures. They are used for collecting dense and high-resolution point clouds of scenes for structural engineering applications. However, automatically extracting meaningful information from the point clouds remains a challenge, and the current state-of-the-art requires significant user interaction. In this work, a process for automatically extracting information from laser datasets such as the location, orientation, and size of objects in a scanned region, and location of damaged regions on a structure is established. First, widely accepted point cloud processing steps are used to divide the collected laser scanner data into meaningful point clusters. A new graph-based object detection algorithm is then used to generate skeletons of the extracted point clusters in order to detect structural members by using a model library consisting of common structural shapes. The obtained member information is then used for developing a new graph-based damage detection method, which compares the fitted object model with the as-is point cloud of the investigated object for locating defects, detecting alignment issues and points of discontinuity, computing changes in the cross-section through area calculation, and determining the total volume change on the investigated member. The effectiveness of the developed graph-based object and damage detection algorithms are tested and validated on test specimens and test-bed bridges.

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Detection of structural faults in piers of masonry arch bridges through automated processing of laser scanning data

Cited by 30 publications

References 15 publications

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Ayvalıkemer (Sillyon) historical masonry arch bridge: a multidisciplinary approach for structural assessment using point cloud data obtained by terrestrial laser scanning (TLS)

Using extracted member properties for laser‐based surface damage detection and quantification

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