Supplemental Materials for "Multi-Source Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In-Situ Bridge Cable Wires"
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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).
本数据集为投稿至《美国土木工程师学会(ASCE)桥梁工程杂志》(稿件编号:BEENG-8078R1)的学术论文《原位桥梁缆索钢丝极端点蚀深度分布预测的多源特征聚合方法》所附带的补充表格(表S1至S6)。
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Zenodo创建时间:
2026-02-12



