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Seuring, Stefan |
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Nor Azizi, S. |
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Pato, Margarida Vaz |
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Kölker, Katrin |
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Huber, Oliver |
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Király, Tamás |
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Spengler, Thomas Stefan |
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Al-Ammar, Essam A. |
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Dargahi, Fatemeh |
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Mota, Rui |
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Mazalan, Nurul Aliah Amirah |
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Macharis, Cathy | Brussels |
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Arunasari, Yova Tri |
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Nunez, Alfredo | Delft |
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Bouhorma, Mohammed |
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Bonato, Matteo |
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Fitriani, Ira |
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Autor Correspondente Coelho, Sílvia. |
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Pond, Stephen |
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Okwara, Ukoha Kalu |
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Toufigh, Vahid |
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Campisi, Tiziana | Enna |
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Ermolieva, Tatiana |
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Sánchez-Cambronero, Santos |
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Agzamov, Akhror |
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Malekjafarian, Abdollah
University College Dublin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Predicting the duration of motorway incidents using machine learningcitations
- 2023Methodological Framework for Assessing and Strengthening the Resistance of Railway Critical Infrastructure Elements
- 2022Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Studycitations
- 2021Measuring traffic load on Forth Road Suspension Bridge using Weigh-InMotion and image data
- 2020Identifying Critical Clusters of Traffic-Loading Events in Recurrent Congested Conditions on a Long-Span Road Bridgecitations
- 2019Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2019Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic datacitations
- 2018Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2017Damage detection using curvatures obtained from vehicle measurementscitations
- 2017On the use of a passing vehicle for the estimation of bridge mode shapescitations
- 2017On the use of drive-by measurement for indirect bridge monitoring
- 2017Application of empirical mode decomposition to drive-by bridge damage detectioncitations
- 2016A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridgecitations
Places of action
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document
Methodological Framework for Assessing and Strengthening the Resistance of Railway Critical Infrastructure Elements
Abstract
The concept of resilience is one of the crucial factors for protecting elements of railway critical infrastructure. The resilience of prevention is generally known as a key phase from time perspective. This is determined by resistance which can be defined by the ability of the system to prevent occurring of disruptive events. Increasing the level of critical infrastructure elements resistance could minimize the likelihood of disruptive events and resulting damages. Currently, however there is no comprehensive procedure for strengthening the resistance in the railway critical infrastructure sector. This paper considers methodology for assessing and strengthening resistance in the critical infrastructure systems and its applicability when compiling functional procedures for assessing and strengthening resistance of railway critical infrastructure elements. The essence of this paper is also the definition of methodological-logical framework with all its requirements for defining a suitable procedure included. The methodological framework is composed of semi-quantitative methods that can be applied in the prevention phase or transformed into the given phase. The framework as the main starting point is developed. Basic findings into perception of the new concept of critical infrastructure resistance are provided.
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