Sound-Driven Generator (SDG-1) v4.9 — Final Computational Design Freeze, Energy-Conserving Lifecycle Validation, and Physical Validation Blueprint

Sound-Driven Generator (SDG-1) v4.9 documents the final computational design freeze of an ambient acoustic energy-harvesting concept intended for low-power, stored-energy, and intermittent sensor/IoT applications. The frozen computational architecture combines a broadband acoustic capture and resonator system, hybrid piezoelectric/PVDF transduction, passive voltage transformation and rectification, an isolated bootstrap startup stage, low-power energy management, capacitive storage, hysteretic reservoir control, and energy-aware burst delivery. The final frozen architecture consists of acoustic candidate 3533610, bootstrap topology 4976095, and dynamic-control topology 4823778. The computational development sequence included energy-ceiling correction, failure-directed optimization, independent holdout testing, broadband detuning repair, low-energy accumulation analysis, analytical resonator sizing, electrical loss modeling, bootstrap startup repair, dynamic storage modeling, full-lifecycle zero-energy startup simulation, shared-forcing time-step convergence testing, exact energy-ledger repair, independent multi-seed confirmation, and moderate frozen-design stress testing. The final v4.8.2/v4.9 computational reference predicts a median delivered energy of 4.075500 J over seven days and a P05 delivered energy of 3.774800 J over seven days under the defined stochastic acoustic environment. The corresponding median useful average power is 6.738591 µW, with a P05 useful average power of 6.241402 µW. The model reports a median of 4,075.5 modeled 1 mJ energy-delivery events over seven days. The final numerical audit passed the tested time-step convergence criterion, exact energy-ledger accounting, independent multi-seed validation, moderate stress scenarios, and modeled energy-conservation checks with zero reported conservation violations. These results are computational predictions rather than experimental measurements. Acoustic coupling, resonator loss and Q, transducer conversion efficiency, electrical source impedance, component leakage, PMIC cold-start energy, and actual load-energy requirements remain quantities for physical characterization. The archive therefore includes a dedicated physical-validation blueprint defining the measurements required to confirm, revise, or falsify the computational targets. THE COMPUTATIONAL RECORD ESTABLISHES THE TARGET. PHYSICAL EXPERIMENTATION TESTS IT.