A structure optimization design method of compression piezoelectric accelerometer

Abstract

The invention relates to the field of piezoelectric accelerometers, and discloses a structure optimization design method of a compression type piezoelectric accelerometer. In this method, the mass of the piezoelectric accelerometer is the design goal, the natural frequency and voltage sensitivity are the constraints, and the design variables are selected based on the sensitivity analysis. Secondly, considering the uncertainties involved in structural dimensions and material parameters in engineering, the comprehensive influence of these uncertainties on performance is measured based on interval analysis technology, and the optimization model is improved based on this, and reliable design results are obtained. On the premise of ensuring the performance reliability of the accelerometer in terms of natural frequency and voltage sensitivity, the method effectively reduces the structural mass, and provides a potential design tool for the optimization of high-performance and high-reliability compression piezoelectric accelerometers; and, The method is simple in principle, simple in operation, and has good engineering practicability.

Description

technical field [0001] The invention relates to the field of piezoelectric accelerometers, in particular to a structure optimization design method suitable for compression type piezoelectric accelerometers. Background technique [0002] Compression piezoelectric accelerometers have the characteristics of fast response, wide frequency band, good linearity, and high sensitivity, so they are widely used in vibration testing and calibration, mechanical dynamic testing, modal analysis, fault analysis of aerospace, energy and power, ship transportation and other systems. important aspects of diagnosis. The properties that are often important to consider during the design of an accelerometer include: mass, natural frequency, and sensitivity. The smaller the dead weight of the accelerometer, the less additional mass load is introduced to the system under test, the less impact on the measurement accuracy and easier to install. In the design specification, 1 / 3 of the first-order nat...

AI Technical Summary

Problems solved by technology

First of all, the structural size can be designed and has a significant impact on performance, and the dimensions are high and related to each other. Trial calculations one by one and verification through experiments will lead to unbearable design costs

Although numerical simulation techniques such as finite element analysis have been introduced into the design process of accelerometers, the design cost has been greatly reduced compared with real experiments; but the design method based on trial calculation strategy is still difficult to meet the needs of actual engineering

Secondly, in engineering practice, there are unavoidable uncertainties in the structural dimensions and material parameters of each component in the accelerometer. The combined influence of these uncertainties may lead to the failure of the accelerometer in terms of key performance.

Although some stochastic optimization algorithms for uncertain structures have been developed in the theoretical field, there are obstacles in engineering applications due to their profound theories and cumbersome processes.

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