Stress-Rupture Data Correlation with Generalized Regression Analysis: An Alternative to Parametric Methods

2009 ◽  
pp. 110-110-17 ◽  
Author(s):  
DR Rummler
Keyword(s):  
Regression Analysis ◽  
Stress Rupture ◽  
Parametric Methods ◽  
Data Correlation ◽  
Rupture Data ◽  
Generalized Regression

A new approach to stress-rupture data correlation

1977 ◽  
Vol 28 (1) ◽  
pp. 69-75 ◽  
Author(s):  
G.D. Johnson ◽  
J.L. Straalsund ◽  
G.L. Wire
Keyword(s):  
Stress Rupture ◽  
Data Correlation ◽  
New Approach ◽  
Rupture Data

Prediction of Long Term Stress Rupture Data for 2124

2006 ◽  
Vol 519-521 ◽  
pp. 1041-1046 ◽  
Author(s):  
Brian Wilshire ◽  
H. Burt ◽  
N.P. Lavery
Keyword(s):  
Q Methodology ◽  
Fracture Behavior ◽  
Stress Rupture ◽  
Creep Data ◽  
Short Term ◽  
Rupture Data ◽  
Term Creep ◽  
Term Data ◽  
Short Term Creep

The standard power law approaches widely used to describe creep and creep fracture behavior have not led to theories capable of predicting long-term data. Similarly, traditional parametric methods for property rationalization also have limited predictive capabilities. In contrast, quantifying the shapes of short-term creep curves using the q methodology introduces several physically-meaningful procedures for creep data rationalization and prediction, which allow straightforward estimation of the 100,000 hour stress rupture values for the aluminum alloy, 2124.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

Comparison of maximum likelihood approaches for analysis of composite stress rupture data

2016 ◽  
Vol 51 (14) ◽  
pp. 6639-6661 ◽  
Author(s):  
Amy Engelbrecht-Wiggans ◽  
Stuart Leigh Phoenix
Keyword(s):  
Maximum Likelihood ◽  
Stress Rupture ◽  
Rupture Data

A New Approach of Reliability Design for Creep Rupture Property

2009 ◽  
Author(s):  
Jie Zhao ◽  
Dong-ming Li ◽  
Yuan-yuan Fang ◽  
Shi-jie Zhu
Keyword(s):  
Parametric Method ◽  
Stress Rupture ◽  
Creep Rupture ◽  
Parameter Method ◽  
Reliability Design ◽  
Safety Coefficient ◽  
Real Distribution ◽  
Z Parameter ◽  
Rupture Data ◽  
Temperature Time

It has been noted that the use of safety coefficient can deal with uncertainties existed in practical structures, while reliability concept provides more precise results by considering the real distribution of creep rupture property. Generally, creep rupture data of a heat-resistant steel can be compressed into a narrow band by using a temperature-time parametric method such as Larson-Miller or Manson-Haferd method. In order to describe the scattering of the data, the current paper proposes a “Z parameter” method to represent the magnitude of the deviation of the rupture data to master curve. Statistical analysis shows that the scattering of Z parameter for several types of steels is supported by normal distribution. Using this method, it is possible to achieve unified analysis of the creep rupture data in various temperature and stress conditions. Stress-TTP-Reliability curves (σ-TTP-R curves), Stress-Rupture time-Reliability curves (σ-tr-R curves) and Allowable stress-Temperature-Reliability curves ([σ]-T-R curves) are proposed which could embrace reliability concept into creep rupture property design.

A Time-Temperature Parameter Study of Stress-Rupture of 316SS Under Increasing Stress

1983 ◽  
Vol 105 (2) ◽  
pp. 93-98 ◽  
Author(s):  
G. H. Rowe
Keyword(s):  
Stress Rupture ◽  
Experimental Results ◽  
Rupture Time ◽  
Parameter Study ◽  
Temperature Range ◽  
Rupture Data ◽  
Temperature Parameter ◽  
Rupture Behavior

Experimental results for eight linearly increasing stress-to rupture tests at 649°C, 732°C, and 816°C agree with analytical rupture time predictions using the Larson-Miller time-temperature parameter stress-rupture curve for the temperature range, 649°C to 899°C. An anomaly in 649°C stress-rupture behavior is disclosed, whereby the increasing stress-to-rupture time predictions at 649°C do not agree with the stress-rupture curve constructed from the actual 649°C stress-rupture data.

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