Technical Papers
Jul 4, 2022

Development of a Protocol for Engineering Applications of Evidence Theory

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 3

Abstract

Recent data trends and analysis have highlighted the need to incorporate more imprecise, ambiguous, and unreliable data into uncertainty analysis traditionally handled by probability theory. However, data fraught with potential error and missing information are not well suited for analysis using probability theory due to high epistemic uncertainty. Evidence theory offers an alternative method of assessing epistemic uncertainty and is well suited for expanded use in engineering applications. Unfortunately, a unified approach to the application of evidence theory is lacking. To address this gap, we developed a protocol for engineering applications of evidence theory. The protocol proposes a logical procedure for defining the frame of discernment, the initial assignment of belief mass, the selection of combination rule, and sensitivity analysis. A literature review of prevailing methods related to the application of evidence theory highlighted concepts and considerations to address. The steps of the protocol were explored and discussed using an example problem including several rule combinations in order to highlight differences in the results and implications of making different analytical decisions. The protocol proposed herein is intended to facilitate engineering applications of evidence theory and to promote more widespread use of the theory in the field of civil engineering.

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Data Availability Statement

All data, models, or code that support the finding of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The financial support of the first author through United States Department of Education Graduate Assistance in Areas of National Need Grant P200A180024 is gratefully acknowledged.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 3September 2022

History

Received: Oct 20, 2021
Accepted: Feb 12, 2022
Published online: Jul 4, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 4, 2022

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Graduate Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, 1111 Engineering Dr., Boulder, CO 80309-0428. ORCID: https://orcid.org/0000-0002-0025-9894. Email: [email protected]
Ross B. Corotis, Dist.M.ASCE [email protected]
Denver Business Challenge Professor of Engineering Emeritus, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, 1111 Engineering Dr., Boulder, CO 80309-0428 (corresponding author). Email: [email protected]
Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, 1111 Engineering Dr., Boulder, CO 80309-0428. ORCID: https://orcid.org/0000-0002-4334-4474. Email: [email protected]

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