News Summary

• The framework defines stages for target translation, model eligibility screening, candidate feasibility, reverse trial adjustment, uncertainty-aware acceptance, engineering coherence checking, and reproducible reporting.
• A numerical case study using a 3544-record concrete mixture dataset trained an extremely randomized trees predictor and applied the proposed gates to a 40 MPa, 28-day reverse design target.
• The contribution is procedural and validation-focused rather than a new optimization algorithm.