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Qing Li

Researcher at University of Science and Technology Beijing

Publications -  8
Citations -  140

Qing Li is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Corrosion & Geology. The author has an hindex of 2, co-authored 3 publications receiving 16 citations. Previous affiliations of Qing Li include Nanchang Hangkong University.

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A new understanding of the effect of Cr on the corrosion resistance evolution of weathering steel based on big data technology

TL;DR: In this article, the effect of microalloying Cr element on the corrosion evolution behavior of weathering steel was studied based on corrosion big data technology, and it was shown that Cr element has both beneficial effect and detrimental effect on the overall corrosion resistance of steel.
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Long-term corrosion monitoring of carbon steels and environmental correlation analysis via the random forest method

TL;DR: In this paper , the atmospheric corrosion of carbon steels was monitored at six different sites (and hence, atmospheric conditions) using Fe/Cu-type atmospheric corrosion monitoring technology over a period of 12 months.
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Understanding environmental impacts on initial atmospheric corrosion based on corrosion monitoring sensors

TL;DR: In this paper, the initial atmospheric corrosion of carbon steels over a one-month period in six outdoor dynamic atmospheric environments in China was investigated based on the ∼250,000 corrosion data sets collected, and the environmental impacts of relative humidity, temperature and rainfall on the initial corrosion behavior was investigated.
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Effect of Hydrogen Charging on the Stress Corrosion Cracking Behavior of X70 Steel in Simulated Deep Seawater Environment

TL;DR: In this paper , the effects of hydrogen charging on the electrochemical and stress corrosion cracking (SCC) behavior of X70 steel in a simulated deep seawater environment were investigated by using electrochemical measurements, slow strain rate tensile (SSRT) tests, and corrosion morphology characterization through SEM.