Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Research on Direction of Principal Stress Based on Monte-Carlo Method

Authors
Li Chen, Yanpeng Feng, Min Xiong, Keqin Ding
Corresponding Author
Li Chen
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.43How to use a DOI?
Keywords
component; direction of maximum principle stress; Stress monitoring data; Probabilistic analysis; Monte-Carlo simulation
Abstract

Crack initiation and propagation induced by fatigue damage under the action of complex random stress spectrum is the main form of structural failure. The direction of crack initiation is closely related with the maximum principal stress direction, but the maximum principal stress direction of complex random stress spectrum changes with time. Prediction of maximum principal stress direction based on Monte-Carlo method is a feasible method. Firstly, Sampling of random stress spectrum is conducted based on normal distribution, logarithmic normal distribution and Weibull distribution. Then, the Monte-Carlo procedures based on three different distributions of prediction of maximum principal stress direction were illustrated. Finally, the engineering application of Monte-Carlo method was carried on the metallurgy crane based on the random stress spectrum data which is obtained from fiber Bragg grating sensor. The results exhibited that the Monte-Carlo method can predicte the crack initiation direction effectively and conveniently.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.43How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Chen
AU  - Yanpeng Feng
AU  - Min Xiong
AU  - Keqin Ding
PY  - 2017/05
DA  - 2017/05
TI  - Research on Direction of Principal Stress Based on Monte-Carlo Method
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 200
EP  - 204
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.43
DO  - 10.2991/ammsa-17.2017.43
ID  - Chen2017/05
ER  -