Novel Approach to Inspections of As-Built Reinforcement in Incrementally Launched Bridges by Means of Computer Vision-Based Point Cloud Data

Owerko, Piotr; Owerko, Tomasz

doi:10.1109/jsen.2020.3020132

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…The first three cross-sections are often present in double girder, double or triple-span viaducts crossing highways [20]. The section marked as "ILB" was inspired by members used in incrementally launched bridges (ILB) with vertical webs (omitting the deviators and external tendons) [21]. The IFC models of both solutions are presented in Fig.…”

Section: Scope Assumptions and Meth-ods Of Probabilistic Analysismentioning

confidence: 99%

Theoretical Probabilistic Nonlinear Analysis of Post-Tensioned Bridge Cross-Sections with the Application of Random Fields

Owerko

2023

Architecture, Civil Engineering, Environment

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The paper presents a proprietary procedure for the analysis of normal stress distributions in post-tensioned cross-sections. It has a significant advantage over conventional commonly used approaches based solely on the envelope analysis as it provides stress levels in all components of the cross-section. The procedure was used in a series of probabilistic analyses with the adoption of random fields. These fields represented uncertainties in strain-stress relationship in concrete. The analysis covered several types of cross-sections and several types of random fields. Key observations from the conducted simulations are as follows: (I) the widest ranges of the probable maximum stresses (i.e. the lowest indexes of reliability) were obtained for sections with relatively low heights of the compressive zone. (II) The highest probabilistic sensitivity to the type of random field used was found in tall sections with a relatively large compressive zone. (III) The greatest sensitivity to batch uncertainties was evident in all cross-sections when using squared exponential random fields. (IV) The greatest relative sensitivity to the batch uncertainties in the form of the random field compliant with the guidelines of the Joint Comity of Structural Safety (JCSS) was evident in the analyses of the tallest cross-section corresponding to the incrementally launched bridges.

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Section: Scope Assumptions and Meth-ods Of Probabilistic Analysismentioning

confidence: 99%

Theoretical Probabilistic Nonlinear Analysis of Post-Tensioned Bridge Cross-Sections with the Application of Random Fields

Owerko

2023

Architecture, Civil Engineering, Environment

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“…The key benefit of most photogrammetric instruments is real-time acquisition (portable and flexible) at low cost. However, several limitations can be found in the previous studies, among which the most significant are the lower accuracy, especially in large-scale environments, compared to TLS and the less automated process, which leads to more error [ 39 , 243 , 244 , 245 ].…”

Section: Research Topics Related To Tls In the Aec Industrymentioning

confidence: 99%

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

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“…mutual collisions of loose hangers of arch bridges in dynamic tests), cracks, local detachments of concrete cover etc. [20,21,22], -validation of the assumptions of numerical FE models analyzed both in the longitudinal and transverse directions as well as in the context of the dynamic response of the model / calibration of the FEM model -replacement of the FEM model class [23], -load capacity validation [9], -reliability validation [24], -fatigue reliability validation [25], -initial calibration of the SHM system [26], including the creation of an appropriate reference point and determination of alarm thresholds, -reference base for subsequent measurements [27]. It should, however, be emphasized, that all of the above objectives can be achieved much more reliably in the view of the existence and possibility of insight into the statistics from analogous results of the mechanical response of similar bridges that have been studied in the past.…”

Section: Purposefulness Of Bridge Load Testsmentioning

confidence: 99%

A Proposal to Facilitate Mandatory Bridge Load Tests with Artificial Neural Network Analyses Using a Digital Data Aggregation Platform

Owerko¹,

Kałuża²,

Wazowski³

2021

Architecture, Civil Engineering, Environment

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The paper presents an innovative concept of digital aggregation of data related to mandatory in-situ load tests of bridge structures. The proposed approach allows to manage various types of information regarding those experiments, in a way which is consistent with current good practises in BIM technology and digitalisation of construction industry. The proposed web platform will allow for vast improvements in decision-making process regarding admission of a given bridge for service, in proper analyses and even predictions of bridges mechanical response. Initial architecture of the system is introduced along with an appropriate literature review and the identification of key actors and their roles in the described information management process. To highlight the potential of the solution, two examples are shown. In both cases key advantages of digital aggregation are emphasised: the possibility to learn from previous analogical in-situ experiments, and the possibility to utilise modern machine learning algorithms and state-of-the-art open-source solutions.

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Novel Approach to Inspections of As-Built Reinforcement in Incrementally Launched Bridges by Means of Computer Vision-Based Point Cloud Data

Cited by 8 publications

References 33 publications

Theoretical Probabilistic Nonlinear Analysis of Post-Tensioned Bridge Cross-Sections with the Application of Random Fields

Theoretical Probabilistic Nonlinear Analysis of Post-Tensioned Bridge Cross-Sections with the Application of Random Fields

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

A Proposal to Facilitate Mandatory Bridge Load Tests with Artificial Neural Network Analyses Using a Digital Data Aggregation Platform

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