IPS-F — Predictive Structural Adaptation: Proactive Reinforcement in Autonomous Water Infrastructure

The preceding IPS papers describe reactive infrastructure: damage occurs, passive arrest contains it, and AMW repair restores function. This paper extends the system to predictive operation. The DFOS strain field is treated as a predictive signal: CUSUM magnitude, rate of change, and spatial correlation identify regions trending toward failure before failure initiates. A modified dispatch priority (P = w₁·CUSUM + w₂·dCUSUM/dt + w₃·Cₛpatial) directs AMW missions toward proactive reinforcement rather than reactive repair. Reinforcement is deployed as hemp-fibre NRL tendons along principal stress trajectories that adapt to the structure's actual loading history through periodic recalculation from the current strain field. Densification and tendon installation act as complementary mechanisms: one raises local confinement and stiffness, the other installs load-path-specific tensile members. Each predictive mission simultaneously extends the IPS capillary network, adds DFOS coverage, and deposits structural material, making the structure stronger, better instrumented, and more predictive with every mission. This paper closes the six-paper IPS loop: the AME structure does not merely heal after damage; it anticipates, learns, and strengthens before failure.