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A METHOD FOR CALCULATING STRUCTURAL RELIABILITY OF MEMS SYSTEMS BY THE IMPLICIT FUNCTIONAL FUNCTION.

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Title: A METHOD FOR CALCULATING STRUCTURAL RELIABILITY OF MEMS SYSTEMS BY THE IMPLICIT FUNCTIONAL FUNCTION.
Authors: DU, Juan1 djsd2007@126.com, LI, Haibin2, HE, Yun3 heyun1021@163.com
Source: Thermal Science. 2026, Vol. 30 Issue 2A, p961-971. 11p.
Subjects: Structural reliability, Microelectromechanical systems, Structural analysis (Engineering), Computer simulation, Implicit functions, Nonlinear statistical models, Artificial neural networks
Abstract: In this paper, a novel approach to calculate the structural reliability of micro-electro-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. Micro-electro-mechanical systems play a pivotal role in modern engineering, and their integration has the potential to further enhance structural analysis and reliability assessment. [ABSTRACT FROM AUTHOR]
Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A METHOD FOR CALCULATING STRUCTURAL RELIABILITY OF MEMS SYSTEMS BY THE IMPLICIT FUNCTIONAL FUNCTION.
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  Data: <searchLink fieldCode="AR" term="%22DU%2C+Juan%22">DU, Juan</searchLink><relatesTo>1</relatesTo><i> djsd2007@126.com</i><br /><searchLink fieldCode="AR" term="%22LI%2C+Haibin%22">LI, Haibin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22HE%2C+Yun%22">HE, Yun</searchLink><relatesTo>3</relatesTo><i> heyun1021@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Thermal+Science%22">Thermal Science</searchLink>. 2026, Vol. 30 Issue 2A, p961-971. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Structural+reliability%22">Structural reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Microelectromechanical+systems%22">Microelectromechanical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+analysis+%28Engineering%29%22">Structural analysis (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Implicit+functions%22">Implicit functions</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+statistical+models%22">Nonlinear statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink>
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  Label: Abstract
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  Data: In this paper, a novel approach to calculate the structural reliability of micro-electro-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. Micro-electro-mechanical systems play a pivotal role in modern engineering, and their integration has the potential to further enhance structural analysis and reliability assessment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2298/TSCI2602961D
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 961
    Subjects:
      – SubjectFull: Structural reliability
        Type: general
      – SubjectFull: Microelectromechanical systems
        Type: general
      – SubjectFull: Structural analysis (Engineering)
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Implicit functions
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      – SubjectFull: Nonlinear statistical models
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      – SubjectFull: Artificial neural networks
        Type: general
    Titles:
      – TitleFull: A METHOD FOR CALCULATING STRUCTURAL RELIABILITY OF MEMS SYSTEMS BY THE IMPLICIT FUNCTIONAL FUNCTION.
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            NameFull: DU, Juan
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            NameFull: LI, Haibin
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            NameFull: HE, Yun
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            – D: 01
              M: 02
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: Thermal Science
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