Technical Papers
Aug 23, 2019

Optimal Inspection Plan for Deteriorating Structural Members Using Stochastic Models with Application to Buried Pipelines

Publication: Journal of Structural Engineering
Volume 145, Issue 11

Abstract

The deterioration of structural systems is unavoidable after their long time in service. To ensure the safety of these systems, an effective inspection strategy with a minimal cost is essential. This paper presents an analytical approach for determining the optimal inspection plan using a cost-based criterion in which structural damage and failure are modeled as stochastic processes. This allows the consideration of the correlation of damages at different times in the reliability-based inspection plan. An example is provided to illustrate the application of the proposed methodology, taking the number of inspection actions and the critical damage level at which repair is performed as the optimization variables. The proposed procedure provides a fast solution for the optimization of an inspection plan with superior performance over those based on simulation. In addition, correlation has a big impact on the result of an optimal inspection plan matching that of the cost of failure.

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Acknowledgments

Financial support from the Australian Research Council under DP140101547, LP150100413, and DP170102211, and from the National Natural Science Foundation of China with Grant No. 51820105014 is gratefully acknowledged.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 145Issue 11November 2019

History

Received: Dec 29, 2017
Accepted: Mar 1, 2019
Published online: Aug 23, 2019
Published in print: Nov 1, 2019
Discussion open until: Jan 23, 2020

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Chun-Qing Li [email protected]
Professor, School of Engineering, RMIT Univ., Melbourne 3000, Australia (corresponding author). Email: [email protected]
Hassan Baji
Lecturer, School of Engineering and Technology, Central Queensland Univ., Cairns 4870, Australia.
Wei Yang
Lecturer, College of Engineering and Science, Victoria Univ., Melbourne 8001, Australia.

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