Change search
Link to record
Permanent link

Direct link
Publications (10 of 43) Show all publications
Kasraei, A., Garmabaki, A. H., Odelius, J., Famurewa, S. M., Chamkhorami, K. S. & Strandberg, G. (2024). Climate change impacts assessment on railway infrastructure in urban environments. Sustainable cities and society, 101, Article ID 105084.
Open this publication in new window or tab >>Climate change impacts assessment on railway infrastructure in urban environments
Show others...
2024 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 101, article id 105084Article in journal (Refereed) Published
Abstract [en]

Climate change impacts can escalate the deteriorating rate of infrastructures and impact the infrastructure’s functionality, safety, operation and maintenance (O&M). This research explores climate change’s influence on urban railway infrastructure. Given the geographical diversity of Sweden, the railway network is divided into different climate zones utilizing the K-means algorithm. Reliability analysis using the Cox Proportional Hazard Model is proposed to integrate meteorological parameters and operational factors to predict the degree of impacts of different climatic parameters on railway infrastructure assets. The proposed methodology is validated by selecting a number of switches and crossings (S&Cs), which are critical components in railways for changing the route, located in different urban railway stations across various climate zones in Sweden. The study explores various databases and proposes a climatic feature to identify climate-related risks of S&C assets. Furthermore, different meteorological covariates are analyzed to understand better the dependency between asset health and meteorological parameters. Infrastructure asset managers can tailor suitable climate adaptation measures based on geographical location, asset age, and other life cycle parameters by identifying vulnerable assets and determining significant covariates. Sensitivity analysis of significant covariates at one of the urban railway stations shows precipitation increment reveal considerable variation in the asset reliability.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Climate change adaptation, Reliability analysis, Cox proportional hazard model, Railway infrastructure
National Category
Other Civil Engineering Meteorology and Atmospheric Sciences
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103152 (URN)10.1016/j.scs.2023.105084 (DOI)
Funder
Vinnova, 2021- 02456, 2019-03181The Kempe Foundations, JCK-2215
Note

Validerad;2023;Nivå 2;2023-12-04 (joosat);

License full text: CC BY 4.0

Available from: 2023-12-04 Created: 2023-12-04 Last updated: 2023-12-04Bibliographically approved
Kasraei, A., Garmabaki, A. H., Odelius, J., Famurewa, S. M. & Kumar, U. (2024). Climate Zone Reliability Analysis of Railway Assets. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023. Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Climate Zone Reliability Analysis of Railway Assets
Show others...
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Infrastructure Engineering Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103882 (URN)10.1007/978-3-031-39619-9_16 (DOI)2-s2.0-85181981181 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Funder
VinnovaThe Kempe Foundations
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Soleimani-Chamkhorami, K., Garmabaki, A. S., Kasraei, A., Famurewa, S. M., Odelius, J. & Strandberg, G. (2024). Life cycle cost assessment of railways infrastructure asset under climate change impacts. Transportation Research Part D: Transport and Environment, 127, Article ID 104072.
Open this publication in new window or tab >>Life cycle cost assessment of railways infrastructure asset under climate change impacts
Show others...
2024 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 127, article id 104072Article in journal (Refereed) Published
Abstract [en]

Climate change impacts such as extreme temperatures, snow and ice, flooding, and sea level rise posed significant threats to railway infrastructure networks. One of the important questions that infrastructure managers need to answer is, “How will maintenance costs be affected due to climate change in different climate change scenarios?” This paper proposes an approach to estimate the implication of climate change on the life cycle cost (LCC) of railways infrastructure assets. The proportional hazard model is employed to capture the dynamic effects of climate change on reliability parameters and LCC of railway assets. A use-case from a railway in North Sweden is analyzed to validate the proposed process using data collected over 18 years. The results have shown that precipitation, temperature, and humidity are significant weather factors in selected use-case. Furthermore, our analyses show that LCC under future climate scenarios will be about 11 % higher than LCC without climate impacts.

Place, publisher, year, edition, pages
Elsevier Ltd, 2024
Keywords
Climate adaptation, Climate change, Life cycle cost analysis, Proportional hazard model, Railway infrastructure, Reliability analysis
National Category
Infrastructure Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-104359 (URN)10.1016/j.trd.2024.104072 (DOI)2-s2.0-85184743796 (Scopus ID)
Note

Funder: Vinnova (2019-03181, 2021-02456); Kempe foundation (JCK-3123); Järnvägstekniskt Centrum, Luleå Tekniska Universitet; Trafikverket; Kempe Foundation; Sveriges Meteorologiska och Hydrologiska Institut;

Full text license: CC BY

Available from: 2024-02-22 Created: 2024-02-22 Last updated: 2024-02-22
Garmabaki, A. S., Naseri, M., Odelius, J., Juntti, U., Famurewa, S., Barabady, J., . . . Strandberg, G. (2024). Risk Assessment of Climate Change Impacts on Railway Infrastructure Asset. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 773-788). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Risk Assessment of Climate Change Impacts on Railway Infrastructure Asset
Show others...
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 773-788Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Infrastructure Engineering Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103883 (URN)10.1007/978-3-031-39619-9_57 (DOI)2-s2.0-85181981308 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Funder
Vinnova, 2019-03181Vinnova, 2021-02456
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-02-01Bibliographically approved
Kasraei, A., Garmabaki, A. H., Odelius, J., Chamkhorami, K. S. & Thaduri, A. (2023). Climate change and its weather hazard on the reliability of railway infrastructure. In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023): . Paper presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-7, 2023 (pp. 2072-2078). Research Publishing Services, Article ID P044.
Open this publication in new window or tab >>Climate change and its weather hazard on the reliability of railway infrastructure
Show others...
2023 (English)In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023), Research Publishing Services , 2023, p. 2072-2078, article id P044Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Research Publishing Services, 2023
National Category
Infrastructure Engineering Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103276 (URN)10.3850/978-981-18-8071-1_P044-cd (DOI)
Conference
33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-7, 2023
Funder
Vinnova, 2021-02456, 2019-03181The Kempe Foundations, JCK-2215
Note

ISBN for host publication: 978-981-18-8071-1

Available from: 2023-12-08 Created: 2023-12-08 Last updated: 2024-01-29Bibliographically approved
Rantatalo, M., Chandran, P., Thiery, F., Odelius, J., Gustafsson, C., Asplund, M. & Kumar, U. (2023). Evaluation of Measurement Strategy for Track Side Monitoring of Railway Wheels. Applied Sciences, 13(9), Article ID 5382.
Open this publication in new window or tab >>Evaluation of Measurement Strategy for Track Side Monitoring of Railway Wheels
Show others...
2023 (English)In: Applied Sciences, ISSN 2076-3417, Vol. 13, no 9, article id 5382Article in journal (Refereed) Published
Abstract [en]

Wheelsets form an indispensable part of the railway rolling stock and need to be periodically inspected to ensure stable, safe, reliable, and sustainable rail operation. Wheel profiles are usually inspected and measured in a workshop environment using handheld equipment or by utilizing wayside measuring equipment. A common practice for both methods is to measure the wheel profile at one position along the circumference of the wheel, resulting in a one-slice measurement strategy, based on the assumption that the wheel profile has the same shape independent of the measurement position along the wheel. In this article, the representability of a one-slice measurement strategy with respect to the wheel profile parameters is investigated using handheld measurement equipment. The calculated range of standard deviation of the parameters estimated such as flange height, flange width, flange slope, and hollow wear from the measurements shows a spread in the parameter value along the circumference of the wheel. As an initial validation of the results, measurements from the wayside monitoring systems were also investigated to see if a similar spread was visible. The spread was significantly higher for flange height, flange width, and flange slope estimated from wayside measurement equipment than for the same parameters estimated using the handheld measurement equipment.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
railway wheel, wheel profile, wheel parameters, wayside monitoring, condition monitoring
National Category
Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-97646 (URN)10.3390/app13095382 (DOI)000987233600001 ()2-s2.0-85159355820 (Scopus ID)
Projects
InfraSweden2030, supported by Vinnova, Formas, and EnergimyndighetenShift2Rail project IN2SMART
Funder
Luleå Railway Research Centre (JVTC)Swedish Transport Administration
Note

Validerad;2023;Nivå 2;2023-05-29 (joosat);

Licens fulltext: CC BY License

Available from: 2023-05-29 Created: 2023-05-29 Last updated: 2023-09-05Bibliographically approved
Chamkhorami, K. S., Kasraei, A., Garmabaki, A. S., Famurewa, S. M., Kumar, U. & Odelius, J. (2023). Implications of Climate Change in Life Cycle Cost Analysis of Railway Infrastructure. In: Mário P. Brito; Terje Aven, Piero Baraldi; Marko Čepin; Enrico Zio (Ed.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023): . Paper presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-8, 2023 (pp. 2089-2096). Research Publishing, Article ID P093.
Open this publication in new window or tab >>Implications of Climate Change in Life Cycle Cost Analysis of Railway Infrastructure
Show others...
2023 (English)In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) / [ed] Mário P. Brito; Terje Aven, Piero Baraldi; Marko Čepin; Enrico Zio, Research Publishing , 2023, p. 2089-2096, article id P093Conference paper, Published paper (Other (popular science, discussion, etc.))
Abstract [en]

Extreme weather conditions from climate change, including high or low temperatures, snow and ice, flooding,storms, sea level rise, low visibility, etc., can damage railway infrastructure. These incidents severely affect the reliability of the railway infrastructure and the acceptable service level. Due to the inherent complexity of the railway system, quantifying the impacts of climate change on railway infrastructure and associated expenses has been challenging. To address these challenges, railway infrastructure managers must adopt a climate-resilient approach that considers all cost components related to the life cycle of railway assets. This approach involves implementing climate adaptation measures to reduce the life cycle costs (LCC) of railway infrastructure while maintaining the reliability and safety of the network. Therefore, it is critical for infrastructure managers to predict, "How will maintenance costs be affected due to climate change in different RCP's scenarios?"The proposed model integrates operation and maintenance costs with reliability and availability parameters such as mean time to failure (MTTF) and mean time to repair (MTTR). The proportional hazard model (PHM) is used to reflect the dynamic effect of climate change by capturing the trend variation in MTTF and MTTR. A use case from a railway in North Sweden is studied and analyzed to validate the process. Data collected over a 20-year period is analyzed for the chosen use case. As a main result, this study has revealed that climate change may significantly influence the LCC of switch and crossing (S&C) and can help managers predict the required budget.

Place, publisher, year, edition, pages
Research Publishing, 2023
Keywords
Life Cycle Cost Analysis, Switch and Crossing, Railway Infrastructure, Climate Adaptation
National Category
Civil Engineering Other Environmental Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103278 (URN)
Conference
33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-8, 2023
Funder
Vinnova, 2021-02456Vinnova, 2019-03181The Kempe Foundations, JCK-2215Swedish Transport AdministrationSwedish Meteorological and Hydrological InstituteLuleå Railway Research Centre (JVTC)
Note

Funder: SWECO AB; WSP AB; InfraNord; BnearIT;

Host for ISBN: 978-981-18-8071-1

Available from: 2023-12-08 Created: 2023-12-08 Last updated: 2024-02-12Bibliographically approved
Zuo, Y., Lundberg, J., Najeh, T., Rantatalo, M. & Odelius, J. (2023). Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements. Sensors, 23(7), Article ID 3666.
Open this publication in new window or tab >>Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements
Show others...
2023 (English)In: Sensors, E-ISSN 1424-8220, Vol. 23, no 7, article id 3666Article in journal (Refereed) Published
Abstract [en]

Railway switches and crossings (S&C) are among the most important high-value components in a railway network and a failure of such an asset could result in severe network disturbance. Therefore, potential defects need to be detected at an early stage to prevent traffic-disturbing downtime or even severe accidents. A squat is a common defect of S&Cs that has to be monitored and repaired to reduce such risks. In this study, a testbed including a full-scale S&C and a bogie wagon was developed. Vibrations were measured for different squat sizes by an accelerometer mounted at the point machine. A method of processing the vibration data and the speed data is proposed to investigate the possibility of detecting and quantifying the severity of a squat. One key technology used is wavelet denoising. The study shows that it is possible to monitor the development of the squat size on the rail up to around 13 m from the point machine. The relationships between the normalised peak-to-peak amplitude of the vibration signal and the squat depth were also estimated.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
railway switch & crossing, vibration, squats, condition monitoring, wavelet denoising, fault detection
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-96465 (URN)10.3390/s23073666 (DOI)000970143200001 ()37050726 (PubMedID)2-s2.0-85152309487 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-04-13 (johcin);

Funder: Luleå Railway Research Centre (JVTC)

Available from: 2023-04-13 Created: 2023-04-13 Last updated: 2023-10-11Bibliographically approved
Zuo, Y., Chandran, P., Odelius, J. & Rantatalo, M. (2023). Wayside Railway Switch and Crossing Monitoring Using Isolation Forest Anomaly Scores. Sustainability, 15(20), Article ID 14836.
Open this publication in new window or tab >>Wayside Railway Switch and Crossing Monitoring Using Isolation Forest Anomaly Scores
2023 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 15, no 20, article id 14836Article in journal (Refereed) Published
Abstract [en]

Railway switch and crossing (S&C) systems have complicated moving structures compared with regular rail. They require multiple components that vary in complexity. The complexity of railway S&C, together with the fact that they are discontinuous points of the system, makes them vulnerable to defects such as squats. A squat on the switching rail could potentially cause rail breakage and lead to catastrophic results, such as derailment. In this study, a method based on anomaly scoring was investigated to estimate the status of an S&C system with respect to squat defects. The proposed method was tested in a real environment under controlled measurement sequences. The results show that the methods can differ between an S&C with squats and another one without them.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
railway, anomaly detection, anomaly score, rail squat, squat detection, machine learning, unsupervised learning, isolation forest
National Category
Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-101654 (URN)10.3390/su152014836 (DOI)
Note

Validerad;2023;Nivå 2;2023-10-16 (joosat);

CC BY 4.0 License

Available from: 2023-10-14 Created: 2023-10-14 Last updated: 2023-10-24Bibliographically approved
Garmabaki, A. S., Odelius, J., Thaduri, A., Famurewa, S. M., Kumar, U., Strandberg, G. & Barabady, J. (2022). Climate Change Impact Assessment on Railway Maintenance. In: Maria Chiara Leva, Edoardo Patelli, Luca Podofillini, Simon Wilson (Ed.), Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022): . Paper presented at 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, August 28 - September 1, 2022. Singapore: Research Publishing, Article ID S25-01-126.
Open this publication in new window or tab >>Climate Change Impact Assessment on Railway Maintenance
Show others...
2022 (English)In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) / [ed] Maria Chiara Leva, Edoardo Patelli, Luca Podofillini, Simon Wilson, Singapore: Research Publishing , 2022, article id S25-01-126Conference paper, Published paper (Refereed)
Abstract [en]

Modern societies have become more and more complex, interconnected, and heavily dependent ontransport infrastructure. Moreover, most transport infrastructures were conceptualized, designed and built withoutanticipating the future variations of climate change. Climate changes have a negative impact on the railway systemand related costs. Increased temperatures, precipitation, sea levels, and frequency of extremely adverse weatherevents such as floods, heatwaves, and heavy snowfall pose major risks and consequences for railway infrastructureassets, operations and maintenance. Approximately, 5 to 10% of total failures and 60% of delays of trains are dueto various climate change impacts of railway infrastructure in northern Europe. In Sweden, weather-related failureswere responsible for 50% of train delays in switches and crossings (S&C).The paper explores a pathway toward climate resilience in transport networks and assess the climate change impactson railway infrastructure by integrating transport infrastructure health information with meteorological, satellite,and expert knowledge. The paper provides recommendations considering adaptation options to ensure an effectiveand efficient railway transport operation and maintenance.

Place, publisher, year, edition, pages
Singapore: Research Publishing, 2022
Keywords
Resilient railway infrastructure, Climate change, Climate adaptation, Extreme weather condition
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-93542 (URN)10.3850/978-981-18-5183-4_S25-01-126-cd (DOI)
Conference
32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, August 28 - September 1, 2022
Projects
Robust infrastructure – Adapting railway maintenance to climate change (CliMaint)
Funder
Vinnova, 2019-03181
Note

ISBN for host publication: 978-981-18-5183-4

Available from: 2022-10-11 Created: 2022-10-11 Last updated: 2024-02-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0216-5058

Search in DiVA

Show all publications