Supplemental Materials for "Multi-Source Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In-Situ Bridge Cable Wires"
Abstract
Supplemental tables (Tables S1–S6) accompanying the manuscript "Multi-Source Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In-Situ Bridge Cable Wires," submitted to the ASCE Journal of Bridge Engineering (Manuscript No. BEENG-8078R1).
Fields of Study & Subjects
Structural Engineering and Materials Analysis
Structural Health Monitoring Techniques
Structural Integrity and Reliability Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN