Abstract

One of the important and systematic methods that is used for the identification of failure of any system is the failure mode and effect analysis (FMEA). This is carried out through the identification of the most important causes of all the failure modes of a system under consideration. FMEA is based on the concepts of a probabilistic analysis. In the present study, a corresponding equivalent deterministic method has been developed in terms of a risk priority number (RPN) formulation with its application to bridge failures. The RPN will enable the practicing engineers to rank various bridge failures and take necessary steps to mitigate the associated risk.

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Data Availability Statement

The data used for calculation can be provided by the corresponding author by request.

Acknowledgments

Firstly, we would like to thank the anonymous reviewer(s), whose constructive comments have significantly enhanced the quality of this manuscript. We also sincerely thank Prof. Satyabrata Choudhury, Department of Civil Engineering, NIT Silchar, for proof-reading the paper and suggesting corrections for better readability.

References

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Go to Practice Periodical on Structural Design and Construction
Practice Periodical on Structural Design and Construction
Volume 25Issue 2May 2020

History

Received: Mar 25, 2019
Accepted: Nov 4, 2019
Published online: Mar 9, 2020
Published in print: May 1, 2020
Discussion open until: Aug 9, 2020

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Authors

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Chandrasekhar Putcha, Ph.D., F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, California State Univ., Fullerton, CA 92834; Adjunct Professor, Dept. of Civil Engineering, National Institute of Technology Meghalaya, Meghalaya 793003, India. Email: [email protected]
Assistant Professor, Dept. of Civil Engineering, National Institute of Technology Silchar, Assam 788010, India (corresponding author). ORCID: https://orcid.org/0000-0001-8877-0840. Email: [email protected]; [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, California State Univ., Fullerton, CA 92834. ORCID: https://orcid.org/0000-0003-4036-4442

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