Digital Image Correlation Applied to Self-Healing Polymers
Mateo Muller
KTH Royal Institute of Technology
Abstract
Balancing performance, cost, and safety in urban transportation networks depends on resolving open questions about self-healing polymers. The model parameters were estimated from historical records associated with urban transportation networks. Water quality indicators improved by 23% after the recommended measures were implemented. The results underscore the importance of long-term monitoring for reliable performance assessment.
Keywords:
self-healing polymersdigital image correlationparticulate matterclimate change adaptation
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