Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:Chao Zeng,Chunqing Wang,Yanhong Tian,Chunjin Hang,Wei Liu,Rong An.Fracture Statistics Dominated by Hot-Cutting Defect and Deviation from Weibull Distribution[J].Journal of Harbin Institute Of Technology(New Series),2015,22(2):41-48.DOI:10.11916/j.issn.1005-9113.2015.02.006.
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 1780times   downloaded 880times 本文二维码信息
码上扫一扫!
Shared by: Wechat More
Fracture Statistics Dominated by Hot-Cutting Defect and Deviation from Weibull Distribution
Author NameAffiliation
Chao Zeng State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Chunqing Wang State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Yanhong Tian State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Chunjin Hang State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Wei Liu State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Rong An State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China 
Abstract:
This paper characterizes the rarely noticeable hot-cutting defect and statistically models the fracture governed by this new type defect. The morphology of the defect on fired ceramic is examined and quantitatively featured through comparing the fracture strength governed by intrinsic defect and hot-cutting defect. Weibull distribution is utilized to fit the observed strength data and chi-square goodness-of-fit test is conducted to analyze the deviation. Kernel density estimation is introduced to explore the underlying strength distribution dominated by hot-cutting defect. Based on the shape information from kernel density estimating, gamma and lognormal distribution are compared and the hot-cutting defect governing fracture statistics is finally confirmed by chi-square test. Results show that the newly-defined hot-cutting defect is more dangerous than the intrinsic defect and the priori Weibull distribution fails to describe the fracture statistic governed by the edge defect while the lognormal with a slightly right skewed shape fits it very well.
Key words:  hot-cutting defect  deviation from Weibull  Kernel density estimation  lognormal distribution
DOI:10.11916/j.issn.1005-9113.2015.02.006
Clc Number:TB321
Fund:

LINKS