Matthias J. Rebhan, Stefan S. Grubinger, Andreas Schüppel, Simona Deutinger, Gernot Schwarzenberger
{"title":"Digital documentation of railway tunnel inspection in Austria","authors":"Matthias J. Rebhan, Stefan S. Grubinger, Andreas Schüppel, Simona Deutinger, Gernot Schwarzenberger","doi":"10.1002/cend.202400029","DOIUrl":null,"url":null,"abstract":"<p>Infrastructure, especially railway tunnels, require continuous inspection to ensure their safety. Furthermore, the detection of damages at an early stage can improve their service life. These tasks represent a major challenge for those involved and the tunnel down time is a disruption in operation. In rail networks, comprehensive preparations are necessary to be able to plan closures and required compensation measures. To optimize this process, a workflow for a digital inspection was generated to allow a rapid localization and a corresponding time advantage when conducting the activities on site. In doing so, a multitude of bases can be used, a standardization of damage patterns is carried out and a collaborative cooperation of multiple inspection personnel is possible. Depending on the data stock, digitized as-built models in the form of a plan, digital plan documents and existing or generated digital twins can be used. Making it possible to locate a damage already during the inspection and thus enable a comprehensible documentation and an automated generation of reports. The pre-set options for attribution of damages enables a time-optimized inspection on site—which enables a reduction of the required time, the associated restrictions on traffic routing and at the same time reduces the susceptibility to errors. Within this paper, results of a first series of field tests along the Tauern Line of ÖBB, using a digital inspection workflow, are presented.</p>","PeriodicalId":100248,"journal":{"name":"Civil Engineering Design","volume":"7 1","pages":"3-8"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cend.202400029","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Civil Engineering Design","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cend.202400029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Infrastructure, especially railway tunnels, require continuous inspection to ensure their safety. Furthermore, the detection of damages at an early stage can improve their service life. These tasks represent a major challenge for those involved and the tunnel down time is a disruption in operation. In rail networks, comprehensive preparations are necessary to be able to plan closures and required compensation measures. To optimize this process, a workflow for a digital inspection was generated to allow a rapid localization and a corresponding time advantage when conducting the activities on site. In doing so, a multitude of bases can be used, a standardization of damage patterns is carried out and a collaborative cooperation of multiple inspection personnel is possible. Depending on the data stock, digitized as-built models in the form of a plan, digital plan documents and existing or generated digital twins can be used. Making it possible to locate a damage already during the inspection and thus enable a comprehensible documentation and an automated generation of reports. The pre-set options for attribution of damages enables a time-optimized inspection on site—which enables a reduction of the required time, the associated restrictions on traffic routing and at the same time reduces the susceptibility to errors. Within this paper, results of a first series of field tests along the Tauern Line of ÖBB, using a digital inspection workflow, are presented.