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An inverse reliability method and its applications in engineering design Li, Hong
Abstract
The concepts and methods of reliability theory have been developed to take into account intervening engineering uncertainties in modern engineering design. To achieve a certain performance an engineer must find design parameters which meet corresponding pre-set target reliability levels for the different limit states considered. Traditionally, this inverse reliability problem is implemented by means of "trial and error," using a forward reliability procedure and interpolating the design parameters at the desired reliability. This approach is inefficient and involves difficulties resulting from repetitive forward reliability analysis. Thus, it is desired to develop an efficient and more direct approach to determine the design parameters for specified target reliabilities. A general inverse reliability methodology is proposed in the present work, which allows the direct determination of the design parameters when the corresponding target reliabilities are given. The design parameters can also be associated with random variables, such as their mean and standard deviation. As an extension of the inverse reliability method, an inverse reliability-based optimization procedure is also developed. In contrast to traditional reliability-based optimization, this method permits the separation of the ordinary optimization method and the inverse reliability analysis. For cases requiring an intensive computational effort or having a non-smooth limit state function, a response surface method for inverse analysis is proposed to implement and speed up the calculations. The efficiency and applicability of the proposed method are verified with several practical engineering applications, ranging from offshore and earthquake engineering to manufacturing of carbon fiber reinforced composite components.
Item Metadata
Title |
An inverse reliability method and its applications in engineering design
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1999
|
Description |
The concepts and methods of reliability theory have been developed to take into account
intervening engineering uncertainties in modern engineering design. To achieve a certain
performance an engineer must find design parameters which meet corresponding pre-set
target reliability levels for the different limit states considered. Traditionally, this inverse
reliability problem is implemented by means of "trial and error," using a forward reliability
procedure and interpolating the design parameters at the desired reliability. This approach
is inefficient and involves difficulties resulting from repetitive forward reliability analysis.
Thus, it is desired to develop an efficient and more direct approach to determine the design
parameters for specified target reliabilities.
A general inverse reliability methodology is proposed in the present work, which allows the
direct determination of the design parameters when the corresponding target reliabilities are
given. The design parameters can also be associated with random variables, such as their
mean and standard deviation. As an extension of the inverse reliability method, an inverse
reliability-based optimization procedure is also developed. In contrast to traditional
reliability-based optimization, this method permits the separation of the ordinary
optimization method and the inverse reliability analysis. For cases requiring an intensive
computational effort or having a non-smooth limit state function, a response surface
method for inverse analysis is proposed to implement and speed up the calculations.
The efficiency and applicability of the proposed method are verified with several practical
engineering applications, ranging from offshore and earthquake engineering to
manufacturing of carbon fiber reinforced composite components.
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Extent |
7217482 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-07-03
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0064141
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1999-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.