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Time-dependent reliability methods f...
~
Oakland University.
Time-dependent reliability methods for dynamic systems and linear random vibrations.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Time-dependent reliability methods for dynamic systems and linear random vibrations./
作者:
Majcher, Monica T.
面頁冊數:
1 online resource (220 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:
Dissertation Abstracts International78-02B(E).
標題:
Mechanical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9781369235357
Time-dependent reliability methods for dynamic systems and linear random vibrations.
Majcher, Monica T.
Time-dependent reliability methods for dynamic systems and linear random vibrations.
- 1 online resource (220 pages)
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
Time-dependent reliability has recently become an important area of research in order to design products which perform their desired function dependably for their entire lifecycle. Without considering the degradation of reliability over time, many unexpected costs and failures may occur, incurring costly repairs, warranty costs and loss of market share. In this research, we introduce two new time-dependent reliability methods for dynamic as well as linear vibratory systems with random parameters and input random processes.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369235357Subjects--Topical Terms:
557493
Mechanical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Time-dependent reliability methods for dynamic systems and linear random vibrations.
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Adviser: Zissimos P. Mourelatos.
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Oakland University
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2016.
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Includes bibliographical references
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Time-dependent reliability has recently become an important area of research in order to design products which perform their desired function dependably for their entire lifecycle. Without considering the degradation of reliability over time, many unexpected costs and failures may occur, incurring costly repairs, warranty costs and loss of market share. In this research, we introduce two new time-dependent reliability methods for dynamic as well as linear vibratory systems with random parameters and input random processes.
520
$a
The first method we introduced uses the concept of composite limit state to solve time-dependent (dynamic or vibratory) problems with limit-state functions of input random variables and input random processes. The input random processes are assumed Gaussian and are expressed in terms of standard normal variables using a spectral decomposition method. The total probability theorem is employed to calculate the time-dependent probability of failure using time-dependent conditional probabilities which are computed accurately and efficiently in the standard normal space using First Order Reliability Methods (FORM).
520
$a
The second methodology calculates the failure rate of a linear vibratory system with random parameters excited by stationary or non-stationary Gaussian processes. The response of such a system is non-stationary because of the randomness of the input parameters. A space-filling design is first used to sample the input parameter space. For each design point, the corresponding conditional time-dependent probability of failure is calculated efficiently using random vibrations principles and an efficient numerical estimation of the up-crossing and joint up-crossing rates. A time-dependent metamodel is then created which allows us to estimate the conditional probabilities for any set of input parameters. The total probability theorem is finally applied to calculate the time-dependent probability of failure.
520
$a
Principles from the developed time-dependent reliability methods are also applied to estimate fatigue reliability. All new methodologies are demonstrated using a hydrokinetic turbine blade design problem and vibratory beam examples. The fatigue reliability research has been demonstrated and validated using an experimental set-up in TARDEC's Physical Simulation Lab. All methodologies can be extended to systems with millions of degrees of freedom using a procedure described in the Future Work section.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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click for full text (PQDT)
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