多物理
压电
方位(导航)
承重
材料科学
机械工程
计算机科学
工程类
结构工程
有限元法
复合材料
人工智能
作者
Yang Li,Yongping Zheng,Leipeng Song,Z. P. Yao,Hui Zhang,Yong‐Lin Wang,Zhengshun Fei,Xing Xu,Xinjian Xiang
出处
期刊:Sensors
[MDPI AG]
日期:2025-06-10
卷期号:25 (12): 3642-3642
被引量:1
摘要
Under low-temperature conditions, the load-bearing capacity of piezoelectric stacks arises from coupled thermo-electro-mechanical interactions, with temperature fluctuations, compressive prestress, and excitation voltage critically modulating performance. This study introduces an integrated measurement platform to systematically quantify these interdependencies, employing a cantilever-based sensing mechanism where bending strain serves as a direct metric of load-bearing capacity. A particle swarm-optimized theoretical framework guides the spatial configuration of actuators and sensors, maximizing strain signal fidelity while suppressing noise interference. Experimental characterization reveals three key findings: 1. Voltage-dependent linear enhancement of load-bearing capacity across all operational regimes, unaffected by thermal or mechanical variations; 2. Prestress-induced amplification (79–90% increase from 0 to 6 MPa) and thermally driven attenuation (15–30% reduction from 20 to −70 °C) of static performance; 3. Frequency-dependent degradation (1–6 Hz) in dynamic load-bearing capacity. The methodology establishes a robust foundation for designing multiphysics-compatible instrumentation systems, enabling precise evaluation of smart material behavior under extreme coupled-field conditions.
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