Over 11 million U.S. homes rely on toxic lead pipes. Bioderived polyethylene offers a safer replacement, but long-term durability must be ensured. This research studies how chlorine degrades pipe materials and how molecular branching improves resilience. Accelerated aging tests link polymer structure to performance, guiding design of longer-lasting, reliable water infrastructure.

Lead contamination in drinking water threatens millions. This research combines physics-based pipe models with machine learning to identify lead pipes using vibration data. Generating thousands of simulated signals enabled a classifier with 99% accuracy, offering a noninvasive, cost-effective method to locate hidden lead pipes and support safer water infrastructure worldwide.