Next Article in Journal
Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
Previous Article in Journal
Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing
Article

Probabilistic Fatigue Life Updating for Railway Bridges Based on Local Inspection and Repair

1
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Korea
2
Fire Research Institute, Korea Institute of Civil Engineering and Building Technology, Hwaseong 18544, Korea
3
Department of Transportation and Logistics Engineering, Hanyang University ERICA Campus, Ansan 15588, Korea
4
Department of Mechanical and Aerospace Engineering, Trine University, Angola, IN 46703, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2017, 17(4), 936; https://doi.org/10.3390/s17040936
Received: 21 February 2017 / Revised: 12 April 2017 / Accepted: 19 April 2017 / Published: 24 April 2017
(This article belongs to the Section Physical Sensors)
Railway bridges are exposed to repeated train loads, which may cause fatigue failure. As critical links in a transportation network, railway bridges are expected to survive for a target period of time, but sometimes they fail earlier than expected. To guarantee the target bridge life, bridge maintenance activities such as local inspection and repair should be undertaken properly. However, this is a challenging task because there are various sources of uncertainty associated with aging bridges, train loads, environmental conditions, and maintenance work. Therefore, to perform optimal risk-based maintenance of railway bridges, it is essential to estimate the probabilistic fatigue life of a railway bridge and update the life information based on the results of local inspections and repair. Recently, a system reliability approach was proposed to evaluate the fatigue failure risk of structural systems and update the prior risk information in various inspection scenarios. However, this approach can handle only a constant-amplitude load and has limitations in considering a cyclic load with varying amplitude levels, which is the major loading pattern generated by train traffic. In addition, it is not feasible to update the prior risk information after bridges are repaired. In this research, the system reliability approach is further developed so that it can handle a varying-amplitude load and update the system-level risk of fatigue failure for railway bridges after inspection and repair. The proposed method is applied to a numerical example of an in-service railway bridge, and the effects of inspection and repair on the probabilistic fatigue life are discussed. View Full-Text
Keywords: railway bridge; fatigue life updating; inspection and repair; system reliability railway bridge; fatigue life updating; inspection and repair; system reliability
Show Figures

Figure 1

MDPI and ACS Style

Lee, Y.-J.; Kim, R.E.; Suh, W.; Park, K. Probabilistic Fatigue Life Updating for Railway Bridges Based on Local Inspection and Repair. Sensors 2017, 17, 936. https://doi.org/10.3390/s17040936

AMA Style

Lee Y-J, Kim RE, Suh W, Park K. Probabilistic Fatigue Life Updating for Railway Bridges Based on Local Inspection and Repair. Sensors. 2017; 17(4):936. https://doi.org/10.3390/s17040936

Chicago/Turabian Style

Lee, Young-Joo, Robin E. Kim, Wonho Suh, and Kiwon Park. 2017. "Probabilistic Fatigue Life Updating for Railway Bridges Based on Local Inspection and Repair" Sensors 17, no. 4: 936. https://doi.org/10.3390/s17040936

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop