ZHAO Yong-xiang, HUANG Yu-zhong, GAO Qing. Probabilistic mechanical properties of LZ50 axle steel for railway vehicles[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 11-17.
Citation: ZHAO Yong-xiang, HUANG Yu-zhong, GAO Qing. Probabilistic mechanical properties of LZ50 axle steel for railway vehicles[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 11-17.

Probabilistic mechanical properties of LZ50 axle steel for railway vehicles

More Information
  • Author Bio:

    ZHAO Yong-xiang (1963-), male, PhD, professor, 86-28-87602465, yxzhao@home.swjtu.edu.cn

  • Received Date: 2002-11-03
  • Publish Date: 2003-06-25
  • Experimental study on the probabilistic mechanical properties was performed on the LZ50 axle steel for railway vehicles.The unified approach for determining appropriate statistical models of the limited fatigue reliability data was developed to analyze the present test data.The six commonly used distributions, namely three parameter Weibull, two parameter Weibull, normal, lognormal, extreme maximum value, and extreme minimum value, were compared in fits of the data from the three considerations of goodness-of-fit, consistency of failure mechanism and safety in tail region predictions.From the viewpoint of safety, the extreme minimum value distribution was selected as an optimal model of the data.A method based on this distribution was proposed for the estimation of mechanical properties under given reliability and confidence levels.The method has been well used for the estimation of probabilistic parameters of the mechanical properties of the present material.

     

  • loading
  • [1]
    FreudenthalA M. Safety of structure[J]. Trans. ASCE, 1947, 112: 125—128.
    [2]
    FreudenthalA M. Physical and statistical aspects of fatigue[J]. Adv. Appl. Mech., 1956, 4: 116—156.
    [3]
    KecociogluD. Reliability analysis of mechanical componentsand systems[J]. Nucl. Eng. Des., 1972, 19: 259—290.
    [4]
    HaugenE B. Probabilistic Mechanical Design[M]. NewYork: JohnWiley andSons, 1980.
    [5]
    Proven J W. Probability Fracture Mechanics and Reliability [M]. Dordrecht: Martnus Nijhoff Publishers, 1987.
    [6]
    TB/T 1335-1996, 铁道车辆强度设计及试验鉴定规范[S].
    [7]
    肖纪美. 铁路车轴钢40与50的比较[J]. 材料导报, 2000, 14(6): 7—8.

    XIAO Ji-mei. Som e comparison between steels50 and40 usedfor railroad axles[J]. Transactions onMaterials, 2000, 14(6): 7—8. (inChinese).
    [8]
    钟群鹏. 对40、50轴钢的几点看法[J]. 材料导报, 2000, 14(6): 9—10. https://www.cnki.com.cn/Article/CJFDTOTAL-CLDB200006005.htm

    ZHONG Qun-peng. The views on carbon steel40 and50 forthe vehicle shaft[J]. Transactions onMaterials, 2000, 14(6): 9—10. (inChinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CLDB200006005.htm
    [9]
    MencikJ. Reliability assessment with small amount of experi-mental data[R]. InStructuralSafety andReliability: ICOSSAR'01.187—194.
    [10]
    赵永翔. 低周疲劳短裂纹行为和可靠性分析[D]. 成都: 西南交通大学, 1998.

    ZHAO Yong-xiang. Short fatigue crack behavior and reliability analysis in low cycle fatigue[D]. Chengdu: Southwest Jiaotong University, 1998. (in Chinese)
    [11]
    Tanaka T, Sakai T, Iwaya T. Distribution characteristics of fatigue lives and fatigue strengths of ferrous metals by the analysis of P-N data in the JSMEdata base on fatigue strength of metallic materials[A]. In Statistical Research on Fatigue and Fracture[C]. London: Elsevier Applied Science Publishers, 1987.125-157.
    [12]
    Baldwin JD, Thacker JG. Astrain -based fatigue reliability analysis method[J]. ASME Journal of Mechanical Design, 1995, 117: 229-234.
    [13]
    The Committee on Fatigue and Fracture Reliability of the Co-mmittee on Structural Safety and Reliability of the Structural Division. Fatigue reliability: introduction[J]. J. Struct. Div. Proc. ASCE, 1982, 108(ST1): 3-23.
    [14]
    赵永翔, 孙亚芳, 高庆. 分析常用7种统计分布的统一线性回归方法[J]. 机械强度, 2001, 23(1): 102—106. doi: 10.3321/j.issn:1001-9669.2001.01.028

    ZHAO Yong-xiang, SUN Ya-fang, GAO Qing. Unified linear regression method for the analysis of seven commonly used statistical distributions[J]. J. Mech. Strength, 2001, 23(1): 102-106. (in Chinese). doi: 10.3321/j.issn:1001-9669.2001.01.028
    [15]
    Zhao Y X, Gao Q, Wang J N. An approach for determining an appropriate assumed distribution of fatigue life under limited data[J]. Reliab. Eng. Sys. Saf., 2000, 67(1): 1-7. doi: 10.1016/S0951-8320(99)00039-3
    [16]
    Zhao Y X, Gao Q, Sun X F. A statistical investigation of the fatigue lives of Q235 steel-welded joints[J]. Fatigue Fract. Eng. Mater. Struct., 1998, 21: 781-790.
    [17]
    Zhao YX, Wang JN, Gao Q. Random cyclic stress-strain resp- onses of a stainless steel pipe-weld metal I-a statistical investigation[J]. Nucl. Eng. Des., 2000, 199: 303-314.
    [18]
    Zhao YX, Wang JN, Gao Q. Statistical evolution of small fatigue crack in 1Cr18Ni9Ti weld metal[J]. Theor. Appl. Fract. Mech., 1999, 32: 55-64.
    [19]
    Zhao Y X. Size evolution of the surface short fatigue cracks of 1Cr18Ni9Ti pipe-weld metal with a local viewpoint[J]. Mater. Sci. Eng. A, 2003, 344: 229-239.
    [20]
    赵永翔, 王金诺, 高庆. 确定有限疲劳可靠性数据良好假设分布的一种统一方法[J]. 中国机械工程, 2001, 12(12): 1343—1347. doi: 10.3321/j.issn:1004-132X.2001.12.005

    ZHAO Yongxiang, WANG Jinnuo, GAO Qing. Unified approach for determining an appropriate assumed distribution of limited fatigue reliability data[J]. Journal of China Mech. Eng., 2001, 12(12): 1 343-1 347. (in Chinese) doi: 10.3321/j.issn:1004-132X.2001.12.005
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (261) PDF downloads(280) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return