Accelerated destructive degradation modeling and analysis with multiple experimental variables

Modern engineering components, such as wind turbine blades, satellite parts, roofing systems, and infrastructure materials, are expected to remain operational for decades despite being prone to gradual degradation. Standard reliability tests under normal service conditions are often infeasible because of the long service life, high costs, and low failure rates of these systems. Accelerated tests have been widely adopted to address this issue by exposing materials to elevated stressors—such as temperature, moisture, or voltage—to speed up degradation and measure degradation responses, allowing for earlier data collection. Accelerated destructive degradation tests (ADDTs) obtain degradation measurements through destructive sampling, often before a unit has failed, providing earlier insights into aging behavior. These tests are particularly useful when studying material-level degradation, offering more precise modeling of how experimental variables influence degradation rates. This study aims to model the degradation behavior of a rubber compound under accelerated conditions and to derive the induced failure-time distribution based on the fitted degradation model that supports predictive reliability analysis.