Finding the train composition causing greatest fatigue damage in railway bridges by Late Acceptance Hill Climbing. (1st October 2019)
- Record Type:
- Journal Article
- Title:
- Finding the train composition causing greatest fatigue damage in railway bridges by Late Acceptance Hill Climbing. (1st October 2019)
- Main Title:
- Finding the train composition causing greatest fatigue damage in railway bridges by Late Acceptance Hill Climbing
- Authors:
- Frøseth, Gunnstein T.
Rönnquist, Anders - Abstract:
- Highlights: Methodology to identify the most damaging train with respect to fatigue damage in railway bridges is presented. Exact solution can only be obtained for trivial cases. Late Acceptance Hill Climbing heuristic finds most damaging train efficiently. Abstract: This paper presents a method to identify the most damaging train with respect to fatigue damage in railway bridges. The problem is formulated as a combinatorial optimization problem in which the solution space is the set of possible trains. The exact solution can only be obtained for trivial cases where the train set is small and/or for simple structural details where the most damaging train can be identified manually by analysis. Three different heuristics are considered to solve the problem approximately. The Late Acceptance Hill Climbing heuristic is proposed as a general approach to finding the most damaging train due to its strong performance for different train sets and structural details and simplicity in implementation and application. The proposed methodology can be used in the design of new and in the assessment of existing railway bridges to verify sufficient fatigue endurance.
- Is Part Of:
- Engineering structures. Volume 196(2019)
- Journal:
- Engineering structures
- Issue:
- Volume 196(2019)
- Issue Display:
- Volume 196, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 196
- Issue:
- 2019
- Issue Sort Value:
- 2019-0196-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-10-01
- Subjects:
- Service life assessment -- Bridge design -- Load modeling -- Imprecise data -- Optimization
Structural engineering -- Periodicals
Structural analysis (Engineering) -- Periodicals
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Periodicals
624.105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01410296 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.engstruct.2019.109342 ↗
- Languages:
- English
- ISSNs:
- 0141-0296
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3770.032000
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