|Table of Contents|

[1] Zhu Lin, Jia Minping, Jiang Changcheng, et al. Estimation of structure crack propagationbased on multiple factors correction [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 39-45. [doi:10.3969/j.issn.1003-7985.2017.01.007]
Copy

Estimation of structure crack propagationbased on multiple factors correction()
一种新的基于多因素修正的结构件裂纹扩展预测方法
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
33
Issue:
2017 1
Page:
39-45
Research Field:
Mechanical Engineering
Publishing date:
2017-03-30

Info

Title:
Estimation of structure crack propagationbased on multiple factors correction
一种新的基于多因素修正的结构件裂纹扩展预测方法
Author(s):
Zhu Lin1 2 Jia Minping1 Jiang Changcheng1 Zhang Wan1
1School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC 3800, Australia
朱林1 2 贾民平1 姜长城1 张菀1
1东南大学机械工程学院, 南京 211189; 2 Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC 3800, Australia
Keywords:
estimation study crack propagation multiple factor correction probability density function
预测研究 裂纹扩展 多因素修正 概率密度方程
PACS:
TH123
DOI:
10.3969/j.issn.1003-7985.2017.01.007
Abstract:
By deriving the stress concentration factor of the estimation approach for residual fatigue life, an estimation approach for structure crack propagation based on multiple factors correction is proposed. Then, the quantitative expression among the structure factor, stress ratio, loading type, the manufacture processing factor and the crack propagation is achieved. The proposed approach is implemented in a case study for an instance structure, and the influences of correction factors on the crack propagation are analyzed. Meanwhile, the probabilistic method based on Weibull distribution probability density function is selected to evaluate the precision of the corrected estimation approach, and the probability density of results is calculated by the probability density function. It is shown that the results estimated by the corrected approach is more precise than those estimated by the fracture mechanics, and they are closer to the test data.
通过对基于多因素修正的剩余寿命预测方法中的应力集中因子进行推导, 提出了一种基于多因素修正的结构件裂纹扩展预测方法, 从而实现了结构因素、应力比、加载方式、表面质量系数与构件裂纹扩展之间的量化关系表达.将所提方法应用于具体的实例构件的裂纹扩展预测中, 并定量分析了所提出的各具体修正因素对实例构件裂纹扩展预测结果的影响.同时, 运用基于Weibull分布概率密度方程的概率方法对修正后方法预测结果的精度进行评价, 通过概率密度方程对实际预测结果所对应的概率密度值进行了求解.结果表明, 该方法的预测结果比断裂力学的预测结果更精确, 更接近试验结果.

References:

[1] Ibrahim R A. Overview of structural life assessment and reliability. Part Ⅰ: Basic ingredients of fracture mechanics[J]. Journal of Ship Production and Design, 2015, 31(1): 1-42. DOI:10.5957/jspd.31.1.130025-1.
[2] Stasevic M, Maksimovic S, Geric K, et al. Fatigue crack propagation models: Numerical and experimental comparisons[J]. Technics Technologies Education Management, 2012, 7(2): 801-810.
[3] Carter B J, Schenck E C, Wawrzynek P A, et al. Three-dimensional simulation of fretting crack nucleation and growth[J]. Engineering Fracture Mechanics, 2012, 96: 447-460. DOI:10.1016/j.engfracmech.2012.08.015.
[4] Zhang J K, Cheng X Q, Li Z N. Total fatigue life prediction for Ti-alloys airframe structure based on durability and damage-tolerant design concept[J]. Materials & Design, 2010, 31(9): 4329-4335. DOI:10.1016/j.matdes.2010.03.052.
[5] Wang Y Y, Yao W X. Evaluation and comparison of several multiaxial fatigue criteria [J]. International Journal of Fatigue, 2004, 26(1): 17-25. DOI:10.1016/s0142-1123(03)00110-5.
[6] Esmaeili F, Chakherlou T N, Zehsaz M. Prediction of fatigue life in aircraft double lap bolted joints using several multiaxial fatigue criteria [J]. Materials & Design, 2014, 59: 430-438. DOI:10.1016/j.matdes.2014.03.019.
[7] Lu Z, Xiang Y, Liu Y. Crack growth-based fatigue-life prediction using an equivalent initial flaw model. Part Ⅱ: Multiaxial loading [J]. International Journal of Fatigue, 2010, 32(2): 376-381. DOI:10.1016/j.ijfatigue.2009.07.011.
[8] Zhu L, Jia M P, Shi G L, et al. Estimation approach of structural fatigue life based on multiple factors correction[J]. Journal of Southeast University(Natural Science Edition), 2015, 45(3): 469-473.(in Chinese)
[9] Shi G L, Zhu L, Wang R G. The fatigue life analysis for the cage of overrunning clutch based on multiple factors correction[J]. Machine Design and Research, 2015, 31(2): 70-73, 76.(in Chinese)
[10] Cui W C. Relation between crack growth rate curve and S-N curve for metal fatigue [J]. Journal of Ship Mechanics, 2002, 6(6): 93-106.
[11] Lam T S, Topper T H, Conle F A. Derivation of crack closure and crack growth rate data from effective-strain fatigue life data for fracture mechanics fatigue life predictions[J]. International Journal of Fatigue, 1998, 20(10): 703-710. DOI:10.1016/s0142-1123(98)00023-1.
[12] Cui W C, Huang X P. A general constitutive relation for fatigue crack growth analysis of metal structures [J]. Acta Metallurgica Sinica(English Letters), 2009, 16(5): 342-354.
[13] Varvani-Farahani A, Kodric T, Ghahramani A. A method of fatigue life prediction in notched and un-notched components[J]. Journal of Materials Processing Technology, 2005, 169(1): 94-102. DOI:10.1016/j.jmatprotec.2005.01.015.
[14] Petrucci G, Zuccarello B. Fatigue life prediction under wide band random loading[J]. Fatigue & Fracture of Engineering Materials & Structures, 2004, 27(12): 1183-1195. DOI:10.1111/j.1460-2695.2004.00847.x.
[15] Zhang W, Liu Y. In situ SEM testing for crack closure investigation and virtual crack annealing model development [J]. International Journal of Fatigue, 2012, 43(5): 188-196. DOI:10.1016/j.ijfatigue.2012.04.003.
[16] Kova(ˇoverc)J, Legat A, Zajec B, et al. Detection and characterization of stainless steel SCC by the analysis of crack related acoustic emission [J]. Ultrasonics, 2015, 62: 312-322. DOI:10.1016/j.ultras.2015.06.005.
[17] Gagnon M, Tahan A, Bocher P, et al. A probabilistic model for the onset of high cycle fatigue(HCF)crack propagation: Application to hydroelectric turbine runner [J]. International Journal of Fatigue, 2013, 47: 300-307. DOI:10.1016/j.ijfatigue.2012.09.011.

Memo

Memo:
Biographies: Zhu Lin(1990—), male, graduate; Jia Minping(corresponding author), male, doctor, professor, mpjia@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.51675098), Chinese Specialized Research Foundation for Doctoral Program of Higher Education(No.20130092110003), Graduate Student Research Innovation Foundation of Jiangsu Province(No.KYLX15_0059).
Citation: Zhu Lin, Jia Minping, Jiang Changcheng, et al. Estimation of structure crack propagation based on multiple factors correction[J].Journal of Southeast University(English Edition), 2017, 33(1):39-45.DOI:10.3969/j.issn.1003-7985.2017.01.007.
Last Update: 2017-03-20