MMNR v3.1: Computational Engineering Framework for Digital Qualification and Targeted Physical Validation of an Advanced Plastic Waste Valorization System

MMNR v3.1 is a comprehensive computational engineering release documenting the completed digital optimization and qualification of an advanced plastic waste valorization system designed to support the production of infrastructure and construction materials. The project addresses the conversion of mixed plastic waste into engineered material outputs with potential applications in products such as bricks, wall systems, road materials, and other durable construction components. This release preserves the full computational engineering record used to evaluate, refine, and digitally qualify the MMNR candidate design before physical fabrication and laboratory testing. The MMNR v3.1 workflow integrates multiple complementary engineering methods, including constrained optimization, inverse design, deterministic reachability assessment, correlated Monte Carlo simulation, sensitivity analysis, ablation studies, modeled stress-scenario evaluation, qualification-gate assessment, statistical robustness analysis, verification planning, engineering visualization, and reproducible computational reporting. Together, these methods were used to examine candidate performance, design feasibility, uncertainty, parameter interactions, robustness, and readiness for targeted experimental evaluation. The resulting computational evidence base provides a structured and quantitative foundation for selecting test conditions, prioritizing engineering risks, and comparing future physical results against established digital performance baselines. The archive includes engineering datasets, optimization outputs, Monte Carlo evaluations, sensitivity results, performance metrics, qualification summaries, verification matrices, engineering figures, validation-planning materials, provenance records, manifests, and reproducible analytical outputs. These materials are organized to support technical review, independent examination, future replication, and continued engineering development. MMNR v3.1 represents the completion of the project’s computational engineering phase. The candidate system has undergone extensive digital testing and computational qualification through a reproducible, multi-method engineering workflow. This release therefore provides more than a conceptual design or preliminary simulation; it documents a completed body of computational engineering evidence intended to reduce development risk and guide the next stage of targeted physical bench validation. Physical testing, manufacturing qualification, regulatory evaluation, code compliance, commercialization, and certification remain outside the scope of this release. No claim is made that the system has completed experimental validation or achieved regulatory or commercial approval. This Zenodo record is intended to serve as the authoritative public archive for MMNR v3.1 and as a durable technical reference for researchers, engineers, materials developers, sustainability professionals, and other parties interested in computationally guided plastic waste valorization and infrastructure-material development.