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Abstract

This paper divided data fusion in bridge condition assessment into same-index fusion and different-index fusion. The different-index fusion can be further subdivided into multi-index fusion within the same component and cross-component fusion. A multi-source data fusion assessment method for bridges was constructed by utilizing Dempster-Shafer evidence theory as the core for improvement. A data conflict judgment criterion was introduced to further classify the same-index fusion into conflicting data fusion and consistent data fusion. This addresses the problem of information conflicts in multi-source monitoring data. The introduction of a data modification criterion effectively avoids the 0-trust paradox that may occur in the process of data fusion of different indices. Engineering case validation demonstrates that the proposed method exhibits strong compatibility and can effectively deal with typical problems such as data conflict and 0-trust paradox. It is flexible and easy to use, provides objective and comprehensive assessment results, and shows good practical applicability.

Publication Date

10-29-2026

DOI

10.14048/j.issn.1671-2579.2026.05.026

First Page

248

Last Page

256

Submission Date

October 2026

Reference

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