Physics-Informed Scalability Modeling

The contract seeks the development of computational models that bridge laboratory-scale data with real-world predictions of concrete infrastructure durability by integrating physics-based principles with empirical approaches. The goal is to create scalable, physics-informed models capable of accurately forecasting the long-term performance of concrete structures under field conditions, leveraging both mechanistic understanding and data-derived relationships to enhance reliability and predictive fidelity. This effort is critical for advancing the resilience and service life assessment of critical infrastructure, particularly in defense and high-stakes environments. The solicitation is classified as a subcontract under NAICS code 541620, indicating a focus on scientific and technical consulting services. It is issued by the Defense Advanced Research Projects Agency under the Department of Defense with a posting date of July 30, 2026, and a firm response deadline of August 17, 2026. There is no specified set-aside type or geographic restriction for performance, and no point of contact is listed, suggesting potential confidentiality or centralized administrative handling. Interested parties must act before the deadline to participate in this high-priority research initiative aimed at transforming material science data into actionable infrastructure durability forecasts.