Post, November 13, 2025 • (Brookhaven National Laboratory) The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive strength and Yonug's modulus for cement composites modified with Pozzolanic Clay additives. Link to...
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SDNET2021: Annotated NDE Dataset for Structural Defects
Post, November 13, 2025 • (University of North Dakota) SDNET2021 is a uniquely validated annotated dataset for evaluating the condition of concrete bridge decks and benchmarking advanced deep learning models for defects (delamination, cracks, rebar corrosion) detection and bridge deck evaluation. Common structural defects, such as cracks, delamination, spalling, rebar corrosion, etc. are commonly detected...
Strength Recovery of Cement Composites in Steam and Carbonate Environments
Post, November 13, 2025 • (Brookhaven National Labs) The data include compressive strength and Young's Modulus recoveries in steam and carbonate environments at 270 deg C for four chemically different cement composites after imposed controlled damaged. Link to Dataset Strength Recovery of Cement Composites in Steam and Carbonate EnvironmentsDate last updated: January 20, 2025