ZAG will be responsible for the development of the DESTination RAIL web-site which should also operate as an Intranet site for the project.
A report on the two major pilot projects undertaken in the Destination Rail project. The first will involve instrumentation using vibration monitors of a full-bridge, the Boyne Viaduct, in Ireland (Task 1.5 and 2.3). The second will involve the construction of an embankment using marginal fill materials on a live railway line in Slovenia.
A Decision Support Tool (DST) will be developed, which will help infrastructure managers in the decision making process in the context of dealing with a number of previously identified and ranked risks. Decision Support Tool will be developed to ensure that outputs of WP1 (inspection and monitoring), WP2 (modeling) and WP 4 (WLCA and traffic flow model) are practically integrated and used under specific process workflows and modules.
Techniques to increase the design life of track, earthworks and bridges will be reviewed. large-scale laboratory tests will be performed to investigate the performance of certain method which will be supported by finite element analyses.
NTNU and TUM will use the simulation tool developed in WP2 to select suitable data acquisition components and integrate these into the chosen architecture (Sensors, Communication- wired and possibly wireless depending on sensor location). They will develop and install a data analysis and storage system, and communication system to transfer data in real time and mount the sensors in track infrastructure that can communicate with a train and test the system in lab environment and demonstrate the inbuilt technology at a test site in Norway. TUM will report on methods to improve track recording train data analysis of actual measurement procedures to achieve highest accuracy concerning accurate rail seat referencing and to gain this data as input for modelling work or for model calibration.
UZ will report on the development of a drone (small helicopter) which can perform rapid assessment of slopes. UZ and GDG will use the imagery from the drone to provide crucial temporal data on variations in boundary conditions which might affect slope stability, e.g. change of land use at slope crest, poorly maintained/blocked drains etc. NGI will provide expertise in the use of satellite remote sensing for detection of movement and perform in-situ testing including MASW and CPT. GDG and NTNU will work together to implement a sensor type which is capable of providing the most accurate data, which can be transmitted remotely (by drone) and will use stability models to determine the optimum location of the sensors in a demonstration project to consider the effect of rainfall on an Irish Rail slope.
A microscopic model for railway traffic flow will be developed using innovative, graph theory-based mathematical techniques and incorporating the ability to dynamically optimise operations, in particular during times of degraded operations. The model will allow a detailed assessment of the operational effects of any changes to network availability, and will use new techniques to identify options for improving response to interruptions.
A report outlining the key findings of the laboratory, field prototype-scale pilot and demonstration projects on live railways will be produced. The projects include include testing the GPR methodology on a 100 km section of the Croatian Mainline. Real-time monitoring of switches and crossing at a test-site in Norway. Rock slope surveys using drones in Croatia and Ireland, NDT dynamic test methods for assessing the integrity of rock bolts in Croatia and Large-Scale triaxial testing of Geosynthetic Reinforced Soil (GRS) in Slovenia.
A sensor array will be used to monitor the behavior of the Boyne Valley Viaduct on the Irish Rail network, monitoring will include for the effects of structural degradation and foundation scour. The data will feed the real-time SHM models in WP2
The application of the algorithms developed in Tasks 2.1 and 2.2 for the assessment of performance of railway structures will be demonstrated through consideration of a case study bridge, the Boyne Viaduct in County Louth, Ireland. Probabilistic assessment of the structure will identify hot spot locations for instrumentation and monitoring. Subsequently the multi criteria performance optimization algorithms developed will be employed to study the implication of load evolution, deterioration and alternative rehabilitation strategies for this landmark structure.
A report on the risk assessment methodology developed which that takes into consideration the probability of occurrence of the events (e.g. floodwaters deeper than x meters) to which the infrastructure objects will be subjected and the probability of the infrastructure objects providing different levels of service following an event (e.g. due to a flood the rail line is closed for two days but then reopened without need to execute an intervention, or is closed for two months until it can be rebuilt).
Failure models for shallow translational failure (triggered by rainfall, earthquakes etc.), rotational failure (triggered by new construction, flooding etc.) and rockfalls will be coded using an invariant reliability analysis technique. Data collected from the monitoring instrumentation (WP1) will be used to describe realistic statistical distributions for the key variables e.g. moisture content distribution in a slope. Fragility curves will be developed to determine the probability of failure as a function of prescribed intensity measures.
A network level whole life-cycle analysis model that can be used by practitioners to investigate the impact of the application of alternative maintenance regimes to earthworks, structures and track considering cost, risk and operational effect. The model will draw on stochastic deterioration and loading models and on risk models developed under WP2 and WP3 respectively. In this way the model will facilitate quantitative evaluation of not only to the probability of a failure but also the associated consequences.
A framework for the information management system (IMS) based on smart objects will be developed. The IMS will hold all the data relating to an individual asset and the network.
Guideline on methods to find hot-spots on rail networks - The guide will include guidance on methods to locate weak spots in track bed and embankments using GPR and drones used to locate at-risk slopes.
A plan detailing the main dissemination prospects for the project will be developed it will consider the strategic aims of the project and matters related to review of information disseminated from the project.
An integrated FEM-MBS model will be used allow for consideration of the dynamic analysis of the train-runs along track sections including real track geometry and track stiffness. The output of the model will include both results related to train and track behaviour, like the displacement of the track, the wheel load distribution and the wheel-rail interaction force. The models will be used to study the design requirements for new track infrastructures for mixed train traffic. The models will also be used in conjunction with WP1 to find the optimum sensor locations in the infrastructure.
The DST tool will be tested on several scenarios for selected railway sections, meaning different input values for different variables will be used in order to test the defined interrelatedness between different risk factors and the meaningfulness of the outcome of the tool.
A brief report detailing the agenda and results of the kick-off meeting will be prepared.
At the beginning of the project an exploitation plan will be created with a focus on identifying potentially commercially exploitable IP that will be developed within the Destination Rail consortium. A guideline document will be prepared outlining the procedures for managing IP.
Aa probabilistic framework will be developed to facilitate multi-criteria performance optimization of railway infrastructures (i.e. structures, earthworks and tracks).The developed basis will provide Infrastructure Owners/Managers with the facility to optimise budgets/resources from the perspectives of minimisation of cost, i.e. considering alternative rehabilitation strategies including the do-nothing option, for maximised performance.
Report on common problems faced by rail infrastructure - A review of key problems faced by Railway IM’s case histories (e.g. slope instability, bridge scour, switches and tracks and structures will be compiled. Consideration will be given to how changes in use (increased speed and or loading), climate change etc. might affect the performance of infrastructure and cause increased incidence of existing or new heretofore unseen problems
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Author(s): Magnus Heitzler, Jürgen Hackl, Bryan T. Adey, Ionut Iosifescu-Enescu, Juan Carlos Lam, Lorenz Hurni
Published in: ISPRS Journal of Photogrammetry and Remote Sensing, Issue 117, 2016, Page(s) 217-226, ISSN 0924-2716
Author(s): Juan Carlos Lam, Bryan T. Adey
Published in: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Issue 2/4, 2016, Page(s) 04016008, ISSN 2376-7642
Author(s): Magnus Heitzler, Juan Carlos Lam, Jürgen Hackl, Bryan T. Adey, Lorenz Hurni
Published in: Journal of Geovisualization and Spatial Analysis, Issue 1/1-2, 2017, ISSN 2509-8810
Author(s): J. Hackl, M. Heitzler, J.C. Lam, B.T. Adey and L. Hurni
Published in: "European Water Special Issue: ""10th Word Congress on Water Resources and Environment"" (EWRA2017 - Issue I)", 2017, Page(s) 179 - 185, ISSN 1792-085X
Author(s): Jürgen Hackl, Bryan T. Adey, Michał Woźniak, Oliver Schümperlin
Published in: Journal of Infrastructure Systems, Issue 24/1, 2018, Page(s) 04017041, ISSN 1076-0342
Author(s): Daijiro Mizutani, Marcel Burkhalter, Bryan T. Adey, Claudio Martani, Vijay Ramdas
Published in: International Journal of Architecture, Engineering and Construction, Issue 6/3, 2017, Page(s) 1-20, ISSN 1911-110X
Author(s): Claudio Martani, Natalia Papathanasiou and Bryan T. Adey
Published in: International Journal of Railway, Issue vol. 10, no. 1, 2017, Page(s) 5-11, ISSN 1976-9067
Author(s): Marcel Burkhalter, Claudio Martani, Bryan T. Adey
Published in: Journal of Infrastructure Systems, Issue 24/1, 2018, Page(s) 04017038, ISSN 1076-0342
Author(s): Jürgen Hackl, Bryan T. Adey, Nam Lethanh
Published in: Computer-Aided Civil and Infrastructure Engineering, 2018, ISSN 1093-9687
Author(s): Hackl, J., Adey, B.T.
Published in: Complex Systems, 2017, Page(s) 1 - 15, ISSN 0891-2513
Author(s): Adey, B.T., Martani, C., Papathanasiou, N., Burkhalter, M.
Published in: Infrastructure Asset Management, 2018, ISSN 2053-0242
Author(s): Jürgen Hackl, Juan Carlos Lam, Magnus Heitzler, Bryan T. Adey, Lorenz Hurni
Published in: Natural Hazards and Earth System Sciences Discussions, 2018, Page(s) 1-41, ISSN 2195-9269
Author(s): C. Reale, J. Xue, K. Gavin
Published in: Géotechnique, Issue 66/5, 2016, Page(s) 413-423, ISSN 0016-8505
Author(s): Luke J. Prendergast, David Hester, Kenneth Gavin
Published in: Journal of Bridge Engineering, Issue 21/10, 2016, Page(s) 04016065, ISSN 1084-0702
Author(s): Cormac Reale, Kenneth Gavin, Luke J. Prendergast, Jianfeng Xue
Published in: Transportation Research Procedia, Issue 14, 2016, Page(s) 2468-2476, ISSN 2352-1465
Author(s): Karlo Martinović, Kenneth Gavin, Cormac Reale
Published in: Engineering Geology, Issue 215, 2016, Page(s) 1-9, ISSN 0013-7952
Author(s): Karlo Martinović, Kenneth Gavin, Cormac Reale
Published in: Transportation Research Procedia, Issue 14, 2016, Page(s) 1904-1913, ISSN 2352-1465
Author(s): M.S. Kovacevic, K. Gavin, I. Stipanovic Oslakovic, M. Bacic
Published in: Transportation Research Procedia, Issue 14, 2016, Page(s) 1930-1939, ISSN 2352-1465
Author(s): Papathanasiou, N., Adey, B.T
Published in: 2018
Author(s): Car, M.
Published in: Railway Pro, 2016
Author(s): Connolly, L., Robson, M.
Published in: Railway News, 2017
Author(s): Adey, B., Papathanasiou, N., Burkhalter, M.
Published in: Railway Gazette International, 2018, Page(s) 31-33
Author(s): Ramdas, V., Barrett, A.
Published in: Railway Pro, 2018