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

Zhang, Weiping; Chen, Jinping; Yu, Qian-Qian; Gu, Xianglin

doi:10.1016/j.strusafe.2020.102037

Cited by 22 publications

(6 citation statements)

References 59 publications

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“…where W is the ecological water requirement of the lake, m 3 ; E 0 is the evaporation rate of the water body, mm/day; A 0 is the area of the artificial lake, m 2 ; T m = T + 0.06 h, h is the altitude, m; T is the average temperature, The Markov model [26] was used for qualitative predictions. This model predicts the potential future state of a system based on its current state and the trend of state transitions, achieved by building a system of differential equations expressed as x(k) = P(1)k [27]. The Markov chain involves determining the initial state based on data, calculating the transition probability matrix, and identifying the initial state vector to obtain the prediction results.…”

Section: Ecological Water Demand In Artificial Lakesmentioning

confidence: 99%

Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China

Wang¹,

Geng

Wang

et al. 2023

Sustainability

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The overexploitation of mineral resources in northwestern China has resulted in severe ecological degradation and even desertification in certain mining areas. To support ecological restoration in these arid mining regions, we conducted a study on water conservation and ecological water demand using Bayan Obo as a case study. Based on remote sensing, geographic information systems, and the Integrated Valuation of Ecosystem Services and Trade-offs InVEST model, our study found that the mining area has lost its capacity for water production, with the water source conservation showing negative values. In addition, precipitation levels are far lower than evapotranspiration, making it difficult to retain precipitation. We predicted ecological water demand for the planning years (2025, 2030, and 2035) by combining qualitative and quantitative forecasting methods, with 2019 serving as the base year. The results indicated a downward trend in natural ecological water demand, while artificial ecological water demand exhibited the opposite trend. Changes in natural grassland and artificial green areas in the mining region were identified as the main drivers of changes in ecological water demand.

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Section: Ecological Water Demand In Artificial Lakesmentioning

confidence: 99%

Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China

Wang¹,

Geng

Wang

et al. 2023

Sustainability

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“…Currently, a considerable amount of literature can be found on the corrosion effects of steel structures. The research objects of these studies mainly include: steel material [2][3][4][5], plate [6][7][8][9], rebar [10][11][12][13][14], beam [15][16][17], column [18][19][20][21][22][23][24], joint [25][26][27][28], pipeline [29][30][31][32], and structure [33][34][35][36][37]. Zhao et al [2] numerically studied the mechanical properties of Q345 steel with random corrosion pits.…”

Section: Introductionmentioning

confidence: 99%

Bifurcation Buckling Load of Steel Angle With Random Corrosion Damage

2024

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This paper numerically studies the bifurcation buckling load of steel angle members affected by random corrosion pits. Six million Monte Carlo simulations are conducted, in which the effects of member length, section type, area loss ratio, and corrosion depth on the bifurcation buckling load of steel angles are considered. The key statistical characteristics of the reduction factors of buckling load for steel angles are analyzed. A probability-based relationship between the reduction factor of buckling load and the area loss ratio of steel angles is also proposed for the practical design. It is found that corrosion can potentially change the buckling mode of steel angle members from flexural buckling to torsional buckling. When the member length is small, the bifurcation buckling load of the steel angle is significantly affected by the corrosion depth. However, with the increase in member length, the effect of corrosion depth tends to decrease. The reduction factors of the buckling load of steel angles follow a normal distribution. A larger area loss ratio will result in a larger standard deviation of the reduction factors. For steel angles with the same area loss ratio, the mean values of the reduction factors of different section types are very close.

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“…Steel-reinforced concrete is the most widely used in marine structures, and steel is susceptible to corroding by chloride ions in marine environments (Zhang et al, 2020(Zhang et al, , 2021Dong et al, 2018). Glass-fiber-reinforced polymer (GFRP) bars have become an alternative to replace steel bars in concrete because of their high strength, light weight, low price, and excellent resistance to chloride ions (Benmokrane et al, 2020;Lu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Experimental study on bond performance between carbon/glass-hybrid-fiber-reinforced polymer bars and concrete

Liang,

Yu,

et al. 2023

Advances in Structural Engineering

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Coating GFRP bars with a layer of carbon fibers containing carbon/glass-hybrid-fiber-reinforced polymer (HFRP) bars has been proven to improved interlaminar shear durability. Thus, the bond performance of the HFRP bar-concrete interface depends on the behavior of the HFRP-reinforced concrete structure. In this context, the study investigates the effects of the compressive strength of concrete and the embedded length of HFRP bars on the bond behavior of the HFRP bar-concrete interface and compares the results with the data on the interfacial bond of GFRP bar to concrete. The results demonstrate that all the specimens fail at the FRP bar–concrete interface under the pullout. The bond strength and bond stiffness of the HFRP bar–concrete composites decrease with an increase in the embedded length of the HFRP bar from 4 to 10 times its diameter. Raising the compressive strength of the concrete enlarges the bond strength and bond stiffness of the HFRP bar–concrete composites. Furthermore, the outer layer of carbon-fiber on the GFRP bar decreases the impact of the embedded length of the HFRP bar on the bond strength and bond stiffness of the HFRP bar–concrete composites. Finally, the improved modified mBPE model can accurately predict the bond stress–slip relationship of GFRP/BFRP/HFRP bar–concrete composites.

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

Cited by 22 publications

References 59 publications

Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China

Water Conservation and Ecological Water Requirement Prediction of Mining Area in Arid Region Based on RS-GIS and InVEST: A Case Study of Bayan Obo Mine in Baotou, China

Bifurcation Buckling Load of Steel Angle With Random Corrosion Damage

Experimental study on bond performance between carbon/glass-hybrid-fiber-reinforced polymer bars and concrete

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