The Experts below are selected from a list of 93 Experts worldwide ranked by ideXlab platform

Jinsung Jang - One of the best experts on this subject based on the ideXlab platform.

  • reliability assessment of Creep Rupture life for gr 91 steel
    Materials & Design, 2013
    Co-Authors: Jaeyoung Park, Jinsung Jang
    Abstract:

    Abstract This paper presents reliability assessment of the long-term Creep life of Gr. 91 steel, which is a major structural material for high temperature structural components of Generation-IV reactor systems. A number of Creep Rupture data for Gr. 91 steel were collected through literature surveys, and the long-term Creep life was predicted by Larson–Miller parameter. A “ Z parameter” method was used to describe the magnitude of the deviation of the Creep Rupture data to a master curve. A “Service Condition-Creep Rupture Property Interference (SCRI) model” based on the Z parameter was used to simultaneously consider the scattering of the Creep Rupture data of materials and the fluctuations of service conditions in reliability assessment. A statistical analysis of the Creep Rupture data was conducted by the Z parameter. To carry out the SCRI model, a number of random variables for Z s describing service conditions and Z cr describing the dispersion of the Creep Rupture data were generated using a Monte-Carlo simulation technique. As examples for application, the Creep Rupture life under a certain service conditions of Gr. 91 steel was reasonably drawn from the viewpoints of reliability.

Jaeyoung Park - One of the best experts on this subject based on the ideXlab platform.

  • reliability assessment of Creep Rupture life for gr 91 steel
    Materials & Design, 2013
    Co-Authors: Jaeyoung Park, Jinsung Jang
    Abstract:

    Abstract This paper presents reliability assessment of the long-term Creep life of Gr. 91 steel, which is a major structural material for high temperature structural components of Generation-IV reactor systems. A number of Creep Rupture data for Gr. 91 steel were collected through literature surveys, and the long-term Creep life was predicted by Larson–Miller parameter. A “ Z parameter” method was used to describe the magnitude of the deviation of the Creep Rupture data to a master curve. A “Service Condition-Creep Rupture Property Interference (SCRI) model” based on the Z parameter was used to simultaneously consider the scattering of the Creep Rupture data of materials and the fluctuations of service conditions in reliability assessment. A statistical analysis of the Creep Rupture data was conducted by the Z parameter. To carry out the SCRI model, a number of random variables for Z s describing service conditions and Z cr describing the dispersion of the Creep Rupture data were generated using a Monte-Carlo simulation technique. As examples for application, the Creep Rupture life under a certain service conditions of Gr. 91 steel was reasonably drawn from the viewpoints of reliability.

Yuanyuan Fang - One of the best experts on this subject based on the ideXlab platform.

  • application of manson haferd and larson miller methods in Creep Rupture Property evaluation of heat resistant steels
    Journal of Pressure Vessel Technology-transactions of The Asme, 2010
    Co-Authors: Jie Zhao, Yuanyuan Fang
    Abstract:

    The current paper discusses the selection of Manson-Haferd and Larson-Miller constants on correlation results of Creep Rupture Property in several heat-resistant steels. It indicates that the change in Larson—Miller constant C LM has obvious effect on the predicting result of Rupture life and the optimal C LM values will depend on materials and the optimal ranges of the values are narrow. However, for Manson-Haferd constants T a and log t a , they are at least phenomenally not independent variables but show a linear relationship: log t a = 27.015 - 0.0267T a . It is shown that the values of Manson-Haferd constants (T a , log t a ) can be selected in a wide range with desirable correlation accuracy and a set of Manson-Haferd constant (T a = 450, log t a = 15) is recommended to correlate the Creep Rupture data.

  • introduction of scri model for Creep Rupture life assessment
    International Journal of Pressure Vessels and Piping, 2009
    Co-Authors: Dongming Li, Junshan Zhang, Wei Feng, Yuanyuan Fang
    Abstract:

    Abstract A “service condition-Creep Rupture Property” interference model (SCRI model for short) based on Z parameter method is proposed to predict the reliability of Creep Rupture life for high temperature components. The dispersibility of Creep Rupture Property and the fluctuation of service conditions such as servicing temperature and stress are considered in this model. The scattering of Creep Rupture data is generally supported by normal distribution. Monte-Carlo method is applied to evaluate the reliability at a certain operating condition by simulating the fluctuation of service temperature and stress. HK40 steel has been used as an example to demonstrate the influence of Creep Rupture Property dispersibility and operating condition fluctuation on the result of reliability evaluation.

  • A New Approach of Reliability Design for Creep Rupture Property
    Volume 3: Design and Analysis, 2009
    Co-Authors: Dongming Li, Yuanyuan Fang
    Abstract:

    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.Copyright © 2009 by ASME

Dongming Li - One of the best experts on this subject based on the ideXlab platform.

  • Reliability Design for Creep Rupture Strength of 2.25Cr-1Mo Steel
    Materials Science Forum, 2011
    Co-Authors: Yun Feng Zhao, Dongming Li, Lai Wang
    Abstract:

    A statistical analysis of Creep Rupture data for 2.25Cr-1Mo steel was performed. The scattering of Creep Rupture data was represented by Z-parameter method based on Manson-Haferd method. With the application of Z-parameter, reliability design for allowable stress of Creep Rupture strength was carried out according to design life. The higher the value of confidence level, the lower the allowable stress. In comparison with safety factor method and minimum Rupture strength method, it can be seen that reliability design based on Z-parameter is more agree with experimental data than other methods. Reliability design provides more precise results by considering the real distribution of Creep Rupture Property and provides more flexible choice for design due to the need of safety and economy.

  • introduction of scri model for Creep Rupture life assessment
    International Journal of Pressure Vessels and Piping, 2009
    Co-Authors: Dongming Li, Junshan Zhang, Wei Feng, Yuanyuan Fang
    Abstract:

    Abstract A “service condition-Creep Rupture Property” interference model (SCRI model for short) based on Z parameter method is proposed to predict the reliability of Creep Rupture life for high temperature components. The dispersibility of Creep Rupture Property and the fluctuation of service conditions such as servicing temperature and stress are considered in this model. The scattering of Creep Rupture data is generally supported by normal distribution. Monte-Carlo method is applied to evaluate the reliability at a certain operating condition by simulating the fluctuation of service temperature and stress. HK40 steel has been used as an example to demonstrate the influence of Creep Rupture Property dispersibility and operating condition fluctuation on the result of reliability evaluation.

  • A New Approach of Reliability Design for Creep Rupture Property
    Volume 3: Design and Analysis, 2009
    Co-Authors: Dongming Li, Yuanyuan Fang
    Abstract:

    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.Copyright © 2009 by ASME

Ye Song - One of the best experts on this subject based on the ideXlab platform.