Background High-speed flow of clean water or water with sediment released from aging spillways may cause abrasion and cavitation on the concrete surface gradually. The occurrence of irregularities on

NIAID Data Ecosystem40

Supporting Data for "Intelligent prediction of steel corrosion in cementitious materials via machine learning"

钢腐蚀预测

水泥耐久性

This dataset is associated with the PhD thesis "Intelligent prediction of steel corrosion in cementitious materials via machine learning", which focuses on the development of data-driven and physics-i

Figshare2025-05-16 更新20

Data for: Salt Frost Scaling Depths in Cement-Based Materials: A Surface Structure Analysis of Drying Effects and Aggregate Grading

水泥耐久性

冻融损伤分析

DATA REPOSITORY FOR Title: Salt Frost Scaling Depths in Cement-Based Materials: A Surface Structure Analysis of Drying Effects and Aggregate GradingBy: Alexander Haynack, Jithender J. Timothy, Thomas

Zenodo2026-01-13 更新60

Data to: Shrinkage-induced deformations and creep of structural concrete: 1-year measurements and numerical prediction

水泥耐久性

材料蠕变行为

This dataset contains processed experimental data as presented in the original research paper. Each folder contains the data files (*.dat) with tab-separated columns. The data can be plotted in Gnuplo

Mendeley Data2021-03-01 更新40

28d compressive strength of CIL under dry–wet cycles.

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