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Reliability methods for fatigue life...

Zhao, Jie.

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Reliability methods for fatigue life design.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reliability methods for fatigue life design./
作者:	Zhao, Jie.
面頁冊數:	125 p.
附註:	Co-Supervisors: Han C. Wu; Jun Tang.
Contained By:	Dissertation Abstracts International58-08B.
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9805741
ISBN:	9780591557268

Reliability methods for fatigue life design.
Zhao, Jie.

Reliability methods for fatigue life design. - 125 p.

Co-Supervisors: Han C. Wu; Jun Tang.

Thesis (Ph.D.)--The University of Iowa, 1997.

For the purpose of fatigue reliability assessment based on traditional High Cycle Fatigue (HCF) and Low Cycle Fatigue (LCF) analyses, a set of stress-based and strain-based fatigue reliability methods are developed in this thesis.

ISBN: 9780591557268Subjects--Topical Terms:

783786
Engineering, Mechanical.

Reliability methods for fatigue life design.
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020 $a 9780591557268
035 $a (UMI)AAI9805741
035 $a AAI9805741
040 $a UMI $c UMI
100 1 $a Zhao, Jie. $3 1275148
245 1 0 $a Reliability methods for fatigue life design.
300 $a 125 p.
500 $a Co-Supervisors: Han C. Wu; Jun Tang.
500 $a Source: Dissertation Abstracts International, Volume: 58-08, Section: B, page: 4422.
502 $a Thesis (Ph.D.)--The University of Iowa, 1997.
520 $a For the purpose of fatigue reliability assessment based on traditional High Cycle Fatigue (HCF) and Low Cycle Fatigue (LCF) analyses, a set of stress-based and strain-based fatigue reliability methods are developed in this thesis.
520 $a The methods developed are demonstrated by numerical examples, it is found that these methods are efficient in calculation and able to solve fatigue life design problems with non-deterministic variable amplitude loading history.
520 $a Two strain-based fatigue reliability methods are developed in this work. One is referred to as the reliability factor method, the other is called the generalized random variable method.
520 $a The stress-based fatigue reliability method is developed by using an empirical S-N relationship, assuming a normal distribution for non-deterministic applied stress history, and a normal or Weibull distribution for fatigue strength. The "unique" reliability factors and a family of R-S-N (Reliability defined S-N) curves, which replaces the conventional S-N curve, are the major concepts of the method.
520 $a The strain-based reliability factor method is developed by using an empirical $\varepsilon$-N$\rm\sb{f}$ relation and corresponding $\rm\varepsilon\sb{p}$-$\rm N\sb{f}$ and $\rm\varepsilon\sb{e}$-N$\rm\sb{f}$ relations, assuming a normal distribution for non-deterministic applied strain history, and a normal or Weibull distribution for fatigue strain capacity. The "unique" reliability factors and families of R-$\rm\varepsilon\sb{p}$-N$\rm\sb{f},$ R-$\rm\varepsilon\sb{e}$-N$\rm\sb{f}$ and R-$\varepsilon$-N$\rm\sb{f}$ curves, which replace the conventional $\rm\varepsilon\sb{p}$-N$\rm\sb{f},$ $\rm\varepsilon\sb{e}$-N$\rm\sb{f}$ and $\rm\varepsilon$-N$\rm\sb{f}$ curves, constitute the method.
520 $a For the strain-based generalized random variable method, an empirical mean stress modified strain-life equation is used as performance function; mean stress, applied strain and material property parameters, such as fatigue strength coefficient and fatigue ductility coefficient are taken as basic random variables. In the performance function, the terms involving material property parameters are combined into one generalized random variable as "capacity," and the terms involving mean stress and applied strain are combined into another generalized random variable as "demand." The limit state is then analyzed by using the interference technique to evaluate the reliability under a specified life. Furthermore, in order to meet the need of fatigue life design application, for a given cyclic strain history, a numerical method is developed to inversely search the life when a certain reliability is specified.
590 $a School code: 0096.
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0548
710 2 $a The University of Iowa. $3 1017439
773 0 $t Dissertation Abstracts International $g 58-08B.
790 $a 0096
790 1 0 $a Tang, Jun, $e advisor
790 1 0 $a Wu, Han C., $e advisor
791 $a Ph.D.
792 $a 1997
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9805741