Corrosion evolution of steel bars in RC structures based on Markov chain modeling

2021 ◽  
Vol 88 ◽  
pp. 102037
Author(s):  
Wei-Ping Zhang ◽  
Jin-Ping Chen ◽  
Qian-Qian Yu ◽  
Xiang-Lin Gu
Keyword(s):  
Markov Chain ◽  
Rc Structures ◽  
Steel Bars ◽  
Markov Chain Modeling

scholarly journals Numerical Investigation on Stress Concentration of Tension Steel Bars with One or Two Corrosion Pits

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Jian Hou ◽  
Li Song
Keyword(s):  
Stress Concentration ◽  
Crack Nucleation ◽  
Three Dimensional ◽  
Relative Depth ◽  
Fatigue Crack Nucleation ◽  
Rc Structures ◽  
Steel Bars ◽  
Corrosion Pits ◽  
Tension Loading ◽  
Potential Origin

Pitting corrosion has been observed in steel bars of existing reinforced concrete (RC) structures in different erosion environments and has been identified as a potential origin for fatigue crack nucleation. In the present study, under uniaxial tension loading, stress distribution in the steel bars with one or two semiellipsoidal corrosion pits has systematically been investigated by conducting a series of three-dimensional semiellipsoidal pitted models. Based on the finite element analyses, it is shown that stress concentration factor (SCF) increases linearly with increasing pit aspect ratio (a/b) and increases nonlinearly with increasing pit relative depth (a/R) for single corrosion pit problem. For double corrosion pits problem, the SCF decreases nonlinearly with increasing angle of two transverse pits (θ). The interaction of two longitudinal pits can be ignored in the calculation of SCF even if the distance of two pits (d) is very small.

Markov chain modeling of policyholder behavior in life insurance and pension

2014 ◽  
Vol 4 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Lars Frederik Brandt Henriksen ◽  
Jeppe Woetmann Nielsen ◽  
Mogens Steffensen ◽  
Christian Svensson
Keyword(s):  
Markov Chain ◽  
Life Insurance ◽  
Markov Chain Modeling

scholarly journals Strategic room type allocation for nursing wards through Markov chain modeling

2019 ◽  
Vol 99 ◽  
pp. 101705 ◽  
Author(s):  
Anders Reenberg Andersen ◽  
Wim Vancroonenburg ◽  
Greet Vanden Berghe
Keyword(s):  
Markov Chain ◽  
Markov Chain Modeling

scholarly journals Quantitative Evaluation of Corrosion Degrees of Steel Bars Based on Self-Magnetic Flux Leakage

Metals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 952
Author(s):  
Ding Yang ◽  
Junli Qiu ◽  
Haibo Di ◽  
Siyu Zhao ◽  
Jianting Zhou ◽  
...  
Keyword(s):  
Experimental Data ◽  
Magnetic Flux ◽  
Mathematic Model ◽  
Magnetic Flux Leakage ◽  
Rc Structures ◽  
Nondestructive Tests ◽  
Magnetization State ◽  
Initial Magnetization ◽  
Steel Bars ◽  
Flux Leakage

Corrosion is among the most critical factors leading to the failure of reinforced concrete (RC) structures. Less work has been devoted to nondestructive tests (NDT) to detect the corrosion degree of steel bars. The corrosion degree was investigated in this paper using an NDT method based on self-magnetic flux leakage (SMFL). First, a mathematic model based on magnetic dipole model was settled to simulate the SMFL of a V-shaped defect caused by corrosion. A custom 3-axis scanning device equipped with a magnetometer was used to scan the SMFL field of the 40 corroded steel bars. Experimental data obtained by scanning the 40 steel bars showed that the BZ curve of SMFL was consistent with the theoretical model analysis. Inspired by the qualitative analysis of the results, an index “K” based on a large number of experimental data was established to characterize the corrosion degree of steel bars. The experimental index “K” was linearly related to the corrosion degree α of steel bars. This paper provides a feasible approach for the corrosion degree NDT, which is not affected by the magnetization history and the initial magnetization state of steel bars.

scholarly journals Markov Chain Modeling of Pyelonephritis-Associated Pili Expression in Uropathogenic Escherichia coli

2005 ◽  
Vol 88 (4) ◽  
pp. 2541-2553 ◽  
Author(s):  
Baiyu Zhou ◽  
David Beckwith ◽  
Laura R. Jarboe ◽  
James C. Liao
Keyword(s):  
Escherichia Coli ◽  
Markov Chain ◽  
Uropathogenic Escherichia Coli ◽  
Markov Chain Modeling
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