Advanced predictive tools to assess and mitigate microbiologically induced corrosion (MIC) in infrastructure using AC impedance and numerical simulation. This approach quantifies damage evolution and predicts performance under varied environmental and microbial conditions.
Microbiologically induced corrosion (MIC) is a significant threat to infrastructure, especially when exposed to fluctuating environmental conditions. This advanced solution leverages AC impedance measurements and numerical simulation to predict and mitigate MIC. By quantifying the impedance response of multilayer systems, this technology offers a quantitative indicator of material degradation due to microbial biofilms and environmental factors. The integration of artificial intelligence enhances the predictive model, enabling proactive measures to improve infrastructure durability and service life.
This technology is currently at Technology Readiness Level 4 (TRL 4), indicating that it has been validated in a laboratory environment. Future plans involve using a controlled environment chamber to simulate varied conditions and further validate the technology's predictive capabilities.
Texas A&M University in College Station is a comprehensive public research university and the flagship of The Texas A&M University System, combining broad academic strengths with a strong applied‑research culture. Industry collaborates on the Texas A&M‑RELLIS campus—an integrated education, research and testing environment that supports large‑scale experimentation and proving grounds—and through the Texas A&M Transportation Institute’s facilities in Bryan‑College Station. A statewide extension network connects university expertise to companies and communities across all Texas counties, enabling rapid piloting and deployment. Research is supported by competitive federal funding from agencies such as NSF, NIH, DOE, USDA and DoD, alongside state and industry sponsorship. Texas A&M Innovation provides IP management, licensing and commercialization pathways across the system.