Incorporating Non-Destructive Testing Methods into Bridge Management Systems for Structural Condition Assessment

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Authors: Satyam Shivam
Cited by: 0

Abstract

Accurate structural condition assessment is a fundamental requirement for effective bridge management and long-term infrastructure performance. Conventional visual inspection methods commonly adopted in bridge management systems (BMS) are subjective in nature and often inadequate for identifying hidden defects and early-stage deterioration. To overcome these limitations, non-destructive testing (NDT) methods offer quantitative and reliable tools for evaluating the condition of bridge structures without disrupting serviceability. This paper presents an approach for incorporating non-destructive testing methods into bridge management systems to improve structural condition assessment. Widely used NDT techniques, including ultrasonic pulse velocity, rebound hammer testing, ground penetrating radar, and infrared thermography, are examined with respect to their applicability in assessing material properties, detecting internal defects, and identifying deterioration mechanisms in bridge components. A systematic framework is proposed to integrate NDT results with conventional inspection data within a BMS. The framework enables transformation of NDT measurements into condition indicators compatible with existing condition rating systems, thereby enhancing objectivity and reducing uncertainty in structural evaluation. The proposed methodology is applied to existing bridge structures to demonstrate its effectiveness in identifying critical deterioration zones and supporting maintenance prioritization. The integrated use of NDT data within the BMS facilitates informed decisionmaking and enables more accurate assessment of structural performance and residual service life. The study demonstrates that the incorporation of non-destructive testing methods into bridge management systems significantly enhances the reliability of condition assessment and maintenance planning. The proposed approach supports data-driven bridge asset management and contributes to improved safety, durability, and sustainability of bridge infrastructure.

Fields of Study & Subjects

Structural Engineering and Materials Analysis Infrastructure Maintenance and Monitoring Civil and Structural Engineering Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026