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A METHOD FOR CALCULATING STRUCTURAL RELIABILITY OF MEMS SYSTEMS BY THE IMPLICIT FUNCTIONAL FUNCTION
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DOI：10.2298/TSCI2602961D.png)
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Abstract
En 中文
In this paper, a novel approach to calculate the structural reliability of microelectro-mechanical systems systems is proposed. This approach utilizes the implicit functional function, which involves the acquisition of multiple sets of inputs and responses of the structure through numerical simulation or experimentation. Concurrently, the exponential function is employed as the activation function of the hidden layer of the neural network. A multi-layer neural network possesses the capacity to approximate the properties of arbitrary non-linear functions with arbitrary precision and construct a customized neural network structure. The training of this customized neural network enables the visualization and expression of the structural function. This approach has been demonstrated to enhance the precision of functional fitting. The proposed method for modeling complex structural systems reliability is substantiated by numerical examples. Microelectro-mechanical systems play a pivotal role in modern engineering, and their integration has the potential to further enhance structural analysis and reliability assessment.
Keywords:
implicit function
custom neural network
response surface method
structural reliability
complex structure
micro-electro-mechanical systems
Journal
T
IF:
1.1
Papers:
204
Citations:
5.0K
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