1-20 of 104 Search Results for

Weibull distribution

Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Image
Published: 01 November 1995
Fig. 11 Weibull distribution of SN235 at 950 °C (1740 °F). Weibull modulus, 18.4; maximum strength, 870 MPa (125 ksi); minimum strength, 610 MPa (88 ksi); average strength, 760 MPa (110 ksi); number of specimens, 112 More
Image
Published: 01 January 1997
Fig. 14 Density function for the Weibull distribution with different shape factors More
Image
Published: 01 January 2000
Fig. 9 Strength data that conform to the three-parameter Weibull distribution. Threshold value (x o ) = 70 More
Image
Published: 01 January 1996
Fig. 6 Exceedance diagrams for Weibull distributions of various shape factors. Source: Ref 22 More
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009213
EISBN: 978-1-62708-176-4
... Abstract The six types of statistical distributions are normal distribution, log normal distribution, Weibull distribution, exponential distribution, binomial distribution, and Poisson distribution. This article discusses the applicability of each distribution, providing information...
Series: ASM Handbook
Volume: 18
Publisher: ASM International
Published: 31 December 2017
DOI: 10.31399/asm.hb.v18.a0006402
EISBN: 978-1-62708-192-4
... and reliability in terms of exponential distribution, Weibull distribution, and gamma distribution. It concludes with information on the effects of interaction on failure probability. friction wear tribological testing tribographs transition diagrams tribomaps reliability Weibull distribution gamma...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002415
EISBN: 978-1-62708-193-1
.... It discusses the fatigue behavior of composite laminates in the form of a relation between applied maximum fatigue stress and fatigue life. The article explains Weibull distribution and parameters estimation for fatigue data analysis and life prediction of composite laminates. It analyzes the fatigue...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002476
EISBN: 978-1-62708-194-8
... and models associated with performing time-independent and time-dependent reliability analyses for brittle materials exhibiting scatter in ultimate strength. The article discusses the two-parameter and three-parameter Weibull distribution for representing the underlying probability density function...
Image
Published: 01 January 1996
Fig. 10 Weibull plot of ball-bearing lives distribution. Source: Ref 12 More
Image
Published: 01 January 1997
Fig. 5 Statistical aspects of material design. (a) Weibull plot for reaction-bonded silicon nitride. (b) Improved Weibull distributions. (c) Modification of normal distribution by proof testing More
Image
Published: 01 November 1995
Fig. 18 Simple Weibull graph linearizes strength-probability data to permit assessment of whether the data fit a Weibull distribution. σ, maximum tensile strength at any given point; σ 0 , characteristic strength; m , Weibull modulus More
Image
Published: 01 January 2000
Fig. 8 Schematic of fatigue life data generated at a single stress level that conform to the two-parameter Weibull distribution More
Image
Published: 30 August 2021
Fig. 16 Statistics from the sampled weld residual-stress (WRS) profiles from PROMETHEUS with Weibull distribution for initiation and PRO-LOCA More
Image
Published: 01 January 1997
Fig. 4 Alumina failure data (see Table 1 ) and probability of the failure curves based on estimated parameters for the two- and three-parameter Weibull distributions. More
Image
Published: 01 January 2006
in a Weibull distribution. Original units are ksi. More
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002369
EISBN: 978-1-62708-193-1
... distribution), while high-COV quantities are often modeled by Weibull and other one-sided distributions, as discussed below. Uncertainty in <italic>S</italic>-<italic>N</italic> Data As mentioned above, dividing a problem into constituent (albeit sometimes arbitrary) parts can be useful in modeling...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002431
EISBN: 978-1-62708-194-8
..., such as Weibull probability paper. Although not statistically rigorous, plotting of CDFs on different types of probability paper can be very helpful in evaluating whether or not it is reasonable to assume a particular statistical distribution. Sample versus Population Parameters When performing...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003382
EISBN: 978-1-62708-195-5
... degree of scatter, in comparison with metals. Thus, statistical treatment of the fatigue data is of particular interest. The distribution of static strength and fatigue life can be described mathematically by a two-parameter Weibull function ( Ref 16 ). A two- parameter Weibull density function is given...
Series: ASM Handbook
Volume: 11A
Publisher: ASM International
Published: 30 August 2021
DOI: 10.31399/asm.hb.v11A.a0006803
EISBN: 978-1-62708-329-4
.... The definition of a minimum and a maximum is crucial. However unlikely those bounds, they still must be considered, but never beyond the realm of physical possibility. This recommendation is also important when infinite tail distributions are considered (normal, lognormal, Weibull), which may end up creating...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003514
EISBN: 978-1-62708-180-1
.... Mathematics Any function that is strictly positive and for which the area is unity qualifies for a PDF, but there are standard functions, or distributions, that are commonly used in engineering practice. Some of these are the normal, lognormal, extreme value, and Weibull distributions. The PDF and CDF...