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基于熵产生的疲劳裂纹扩展速率预测

Prediction of Fatigue Crack Growth Rate Based on Entropy Generation.

作者信息

Idris Roslinda, Abdullah Shahrum, Thamburaja Prakash, Omar Mohd Zaidi

机构信息

Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia.

出版信息

Entropy (Basel). 2019 Dec 19;22(1):9. doi: 10.3390/e22010009.

DOI:10.3390/e22010009
PMID:33285783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516526/
Abstract

This paper presents the assessment of fatigue crack growth rate for dual-phase steel under spectrum loading based on entropy generation. According to the second law of thermodynamics, fatigue crack growth is related to entropy gain because of its irreversibility. In this work, the temperature evolution and crack length were simultaneously measured during fatigue crack growth tests until failure to ensure the validity of the assessment. Results indicated a significant correlation between fatigue crack growth rate and entropy. This relationship is the basis in developing a model that can determine the characteristics of fatigue crack growth rates, particularly under spectrum loading. Predictive results showed that the proposed model can accurately predict the fatigue crack growth rate under spectrum loading in all cases. The root mean square error in all cases is 10 m/cycle. In conclusion, entropy generation can accurately predict the fatigue crack growth rate of dual-phase steels under spectrum loading.

摘要

本文基于熵产生对双相钢在谱加载下的疲劳裂纹扩展速率进行了评估。根据热力学第二定律，由于疲劳裂纹扩展的不可逆性，其与熵增相关。在本研究中，在疲劳裂纹扩展试验直至失效的过程中同时测量了温度演变和裂纹长度，以确保评估的有效性。结果表明疲劳裂纹扩展速率与熵之间存在显著相关性。这种关系是开发一个能够确定疲劳裂纹扩展速率特性的模型的基础，特别是在谱加载情况下。预测结果表明，所提出的模型能够在所有情况下准确预测谱加载下的疲劳裂纹扩展速率。所有情况下的均方根误差为10米/循环。总之，熵产生能够准确预测双相钢在谱加载下的疲劳裂纹扩展速率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/9ed2a6c287ff/entropy-22-00009-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/30e4a60582e8/entropy-22-00009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/637788988861/entropy-22-00009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/15a2bc6c62d9/entropy-22-00009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/700bfa087a0b/entropy-22-00009-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/699a70219677/entropy-22-00009-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/7dfe3e7dbe2f/entropy-22-00009-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/405ea5d782d0/entropy-22-00009-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/7ce21ecca8f7/entropy-22-00009-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/45db62f68f91/entropy-22-00009-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/438bb2cc3ecc/entropy-22-00009-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/9c4d788bcb6c/entropy-22-00009-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/f3e3092d28cb/entropy-22-00009-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/dc754b4498a8/entropy-22-00009-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/9ed2a6c287ff/entropy-22-00009-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/30e4a60582e8/entropy-22-00009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/637788988861/entropy-22-00009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/15a2bc6c62d9/entropy-22-00009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/700bfa087a0b/entropy-22-00009-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/699a70219677/entropy-22-00009-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/7dfe3e7dbe2f/entropy-22-00009-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/405ea5d782d0/entropy-22-00009-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/7ce21ecca8f7/entropy-22-00009-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/45db62f68f91/entropy-22-00009-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/438bb2cc3ecc/entropy-22-00009-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/9c4d788bcb6c/entropy-22-00009-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/f3e3092d28cb/entropy-22-00009-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/dc754b4498a8/entropy-22-00009-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/7516526/9ed2a6c287ff/entropy-22-00009-g014.jpg

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Thermodynamics in solid mechanics: a commentary.固体力学中的热力学：一篇评论
Philos Trans A Math Phys Eng Sci. 2005 Nov 15;363(1836):2465-77. doi: 10.1098/rsta.2005.1669.