Risk-Based Fatigue Design Considering Inspections and Maintenance
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 1
Abstract
The different phases of a structure’s life-cycle are managed by different teams with little interaction. Correspondingly, the optimization of the individual phases is isolated and does not necessarily result in optimal life-cycle decisions. This motivates the treatment of structural optimization from a broader life-cycle perspective. A framework to enhance the design of structural systems by considering the operation and maintenance phase in the decision process is proposed in this article. The framework focuses on fatigue prone details, but it can be extended to consider other deterioration mechanisms. A hierarchical influence diagram is proposed as an efficient way to represent the probabilistic decision problem while considering system effects, such as the correlation of the deterioration among hot spots. A simple example is presented to illustrate the implementation of the framework. Challenges and potential applications are discussed.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. This includes the push-over analysis data and the code used for conducting the integrated design optimization.
Acknowledgments
The COST Action TU1402 on Quantifying the Value of Structural Health Monitoring is gratefully acknowledged for enabling the research collaboration through an STSM grant. This work was also supported by Deutsche Forschungsgemeinschaft (DFG) through the TUM International Graduate School of Science and Engineering (IGSSE).
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© 2020 American Society of Civil Engineers.
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Received: Mar 6, 2020
Accepted: Aug 21, 2020
Published online: Dec 8, 2020
Published in print: Mar 1, 2021
Discussion open until: May 8, 2021
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