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Song Bai

Orcid: 0000-0002-2725-2430

Affiliations:
  • University of Electronic Science and Technology of China (UESTC), School of Mechanical and Electrical Engineering, Center for System Reliability and Safety, Chengdu, China


According to our database1, Song Bai authored at least 5 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A weakest link theory-based probabilistic fatigue life prediction method for the turbine disc considering the influence of the number of critical sections.
[BibTeX]
[DOI]
Tianxing Wang
,
Yan-Feng Li
,
Hong-Zhong Huang
,
Song Bai
Qual. Reliab. Eng. Int., December, 2024

An AK-MCS-based probabilistic fatigue life prediction framework for turbine disc with a mean stress correction model.
[BibTeX]
[DOI]
Yun Wang
,
Yan-Feng Li
,
Hong-Zhong Huang
,
Song Bai
Qual. Reliab. Eng. Int., October, 2024

Probabilistic LCF life prediction framework for turbine discs considering random load history.
[BibTeX]
[DOI]
Song Bai
,
Ying Zeng
,
Tudi Huang
,
Yan-Feng Li
,
Hong-Zhong Huang
Qual. Reliab. Eng. Int., October, 2024

A reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading.
[BibTeX]
[DOI]
Song Bai
,
Ying Zeng
,
Tudi Huang
,
Ke Wang
,
Hong-Zhong Huang
Qual. Reliab. Eng. Int., July, 2024

2023
A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history.
[BibTeX]
[DOI]
Song Bai
,
Tudi Huang
,
Yan-Feng Li
,
Ning Lu
,
Hong-Zhong Huang
Reliab. Eng. Syst. Saf., October, 2023


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