Creep-fatigue life prediction and reliability analysis method for Martensitic steel

A technology for fatigue life prediction and fatigue life, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as low prediction accuracy, high cost, and poor engineering applicability

Inactive Publication Date: 2017-11-24
SHANGHAI UNIVERSITY OF ELECTRIC POWER
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, under high-temperature and high-pressure environment, after repeated actions of unit start-stop and variable working conditions, this type of material will undergo creep-fatigue damage, which brings hidden dangers to the long-term safe and efficient operation of the generator set
[0004] In order to effectively evaluate the life of power plant furnace tubes, at present, the representative creep-fatigue life prediction methods mainly include the linear cumulative damage method, the ductility loss model, the strain range and strain energy division method, and the continuous damage mechanics model. Specific application conditions, when using, or need to determine more materi

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Creep-fatigue life prediction and reliability analysis method for Martensitic steel
  • Creep-fatigue life prediction and reliability analysis method for Martensitic steel
  • Creep-fatigue life prediction and reliability analysis method for Martensitic steel

Examples

Experimental program
Comparison scheme
Effect test
No Example Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a creep-fatigue life prediction and reliability analysis method for Martensitic steel. According to the method, first, mechanical work density is defined; second, a creep-fatigue life prediction model based on the mechanical work density is derived, and the randomness of stress and life is considered; and last, a P-delta(W

)-N<f> curve of creep-fatigue life is proposed, and a creep-fatigue life reliability analysis model is given. Compared with the prior art, the method has the advantages that prediction is more accurate, and reliability is higher.

Description

technical field [0001] The invention relates to the safe operation technology of the pressure-bearing parts of the thermal power generating set, in particular to a creep-fatigue life prediction method and its reliability analysis method for 9-12% Cr martensitic steel used in power plant furnace tubes. Background technique [0002] In the 1980s, the Oak Ridge Laboratory (ORNL) of the United States took the lead in developing an improved 9Cr1Mo heat-resistant steel, which was later included in the American Society for Testing and Materials (ASTM) heat-resistant steel standard with the T91 / P91 grade. Good creep resistance; in the 1990s, Japan launched T92 / P92 heat-resistant steel on the basis of P91 by reducing the content of Mo, adding Nb, V, and controlling the content of B and N elements. Compared with P91 steel It has more excellent high-temperature creep rupture strength. At the same time, Europe developed a heat-resistant steel named E911; on the basis of German X20CrMoV1...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 纪冬梅任建兴郭恒超吴臻茂孙权戴晨
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products