VIBRATION ANALYSIS AND CONTROL OF MECHANICAL SYSTEMS USING SMART MATERIALS

Abstract

The persistent challenge of vibration suppression in mechanical systems, spanning aerospace structures to automotive suspensions, has driven significant research into smart material-based control technologies. This paper synthesizes findings from the 2010-2020 literature to investigate vibration analysis methodologies and active/passive control strategies employing piezoelectric, magnetorheological (MR), and shape memory alloy (SMA) materials. The analysis reveals that piezoelectric shunt damping circuits achieve vibration reduction of 20-40 dB at targeted frequencies, with resonant shunts providing 85-95% reduction in vibration amplitude for cantilever beams. MR fluid-based semi-active suspension systems demonstrate 30-50% improvement in ride comfort metrics compared to passive systems, with fail-safe operation under 5 ms response times. Shape memory alloys for pseudo-elastic damping exhibit specific damping capacities (SDC) up to 25% under cyclic loading, with operational temperature windows of 20-60°C optimized for aerospace vibration isolation. Adaptive tuned vibration absorbers (ATVA) utilizing SMA springs achieve frequency tunability of ±30% around nominal design frequencies, enabling real-time adaptation to varying excitation conditions. This paper establishes quantitative design guidelines and control architectures for smart material-based vibration control systems applicable to next-generation mechanical systems.