Quantifying Recovery Stress Degradation in NiTi Shape Memory Alloys Under High-Stress Cyclic Loading: Mechanistic Insights for Structural Retrofitting
摘要
Shape memory alloys (SMAs) have revolutionized structural retrofitting by leveraging their intrinsic shape memory effect (SME) to generate pre-stress through non-destructive thermal activation. While offering superior advantages over passive repair methods, the long-term effectiveness of SMA-based retrofitting critically hinges on the retention of recovery stress under cyclic fatigue loading. However, the degradation mechanisms governing recovery stress under combined phase transformation and fatigue remain poorly quantified, impeding the optimization of SMA applications in engineering practice.
ObjectiveThis study systematically investigates the fatigue-induced degradation of recovery stress in Nickel-Titanium (NiTi) SMAs under high-stress cyclic loading, aiming to unravel the interplay between macroscopic mechanical behavior and microstructural evolution.
MethodA multi-scale experimental framework integrates macroscopic mechanical testing (high-stress cyclic loading at five stress levels) with microscopic fracture analysis (scanning electron microscopy). Empirical relationships between stress amplitude and fatigue life (Ni) / recovery stress loss rate (RSLR) are established, while crack propagation modes are quantitatively correlated to stress amplitudes.
ResultsFatigue life and deformation increments exhibit inverse proportionality to applied stress amplitude. Concurrently, experimental findings identify a critical yield stress threshold (385 MPa) that governs recovery stress degradation. Below this threshold, RSLR remains negligible (2.13 × 10–5 MPa/cycle), preserving > 96% of initial recovery stress after 742,229 cycles. Above this threshold, transverse crack propagation leads to an accelerated degradation of the recovery stress.
ConclusionThe identified yield stress threshold and empirical models provide a mechanistic foundation for designing fatigue resistant SMA retrofitting systems. By linking macro-mechanical degradation to microstructural crack evolution, this work advances the predictive capability for recovery stress retention, enabling optimized SMA deployment in critical infrastructure under high-stress service conditions.