Model for cover cracking due to corrosion expansion and uniform stresses at infinity

Li, Shucai; Ming-bin, Wang; Li, Shu-Chen

doi:10.1016/j.apm.2007.06.003

Cited by 22 publications

(9 citation statements)

References 11 publications

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“…The increase in reinforcement cross-sectional volume due to corrosion leads to cracking and spalling in the concrete (Berra et al 2003, Maaddawy and Soudki 2007, Li et al 2008, ultimately causing loss of overall deck strength. The problem of corrosion persists at coastal regions worldwide and also in temperate and rigid climatic regions where deleterious deicing compounds are applied during the winter season (Smith 2008).…”

Section: The Mechanism Of Corrosion-induced Failure and Possible Pallmentioning

confidence: 99%

Assessing the efficacy of stainless steel for bridge deck reinforcement under uncertainty using Monte Carlo simulation

Cope¹,

Bai

Samdariya

et al. 2013

Structure and Infrastructure Engineering

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Bridge engineers seek new materials, configurations and other design elements to minimise rehabilitation frequency and intensity over the facility life and hence, reduce life-cycle cost. This article discusses the potential of stainless steel as a bridge deck reinforcement material. The superiority of stainless steel over traditional steel was evaluated on the basis of long-term agency cost and user cost. Using data from a US Midwestern state, the analysis was carried out for a majority of analysis scenarios. For the deterministic situation, the use of stainless steel as bridge deck reinforcement material was found to yield a significantly higher initial cost but drastically reduced the overall lifecycle costs, and thus is more cost-effective over the long term. For the uncertainty situation, Monte Carlo simulation was used to generate the distributions of the life-cycle cost for the stainless and the traditional steel reinforcement materials. It was found that the life-cycle cost for the stainless steel option stochastically dominates the life-cycle cost for traditional steel. Thus, under an uncertainty situation, the use of stainless steel as bridge deck reinforcement material is also more cost-effective compared to traditional steel.

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Section: The Mechanism Of Corrosion-induced Failure and Possible Pallmentioning

confidence: 99%

Assessing the efficacy of stainless steel for bridge deck reinforcement under uncertainty using Monte Carlo simulation

Cope¹,

Bai

Samdariya

et al. 2013

Structure and Infrastructure Engineering

View full text Add to dashboard Cite

show abstract

“…where 2 2(1) ( 2 ) and 2 2(1) ( 2 ) are the stress potential functions of the equivalent loads on Tunnel 2 periphery. By subtracting (17) from (16), the solutions obtained are the same as those proposed by Chen [19] and Lu [20].…”

Section: The First Iterationmentioning

confidence: 99%

“…Single tunnels with liner by considering the stress continuity and deformation compatibility were investigated [11][12][13][14][15]. The cover cracking on a bar at great depth due to corrosion and uniform stresses at infinity using the CVM was investigated [16]. An infinite plane weakened by a hole with arbitrary shapes using Cauchy integral of CVM was conducted [17].…”

Section: Introductionmentioning

confidence: 99%

An Analytical Solution for Stress and Displacement Field for Arbitrarily Positioned Twin-Tunnel Excavation at Great Depth

Lin

Chen

2018

Mathematical Problems in Engineering

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In this study, an analytical solution for the stress and displacement field for arbitrarily positioned twin-tunnel excavation at great depth is proposed. The twin-tunnel is subjected to equivalent loads on the tunnel periphery and uniform loads at infinity. The analytical continuation of the complex variable method is used for stress “stair”, owing to the equivalent loads of the tunnel support. Subsequently, the Schwarz alternating method and Cauchy integral formula are used. The redundant surface forces on the periphery are expanded into Laurent series in the sequence of iterations, and a reasonable series truncation is adopted. Comparing with several existing solutions covering special cases from different perspectives, it is found that the proposed solution meets accuracy requirements for tunnel center distance greater than 2.2 times tunnel radius after 1.5 iterations. The proposed solution is fast and yields reference value to tunnel engineering.

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“…The field investigation regarding crack to the concrete shows that the most concerning problems related to the corrosion were cracking and spalling of the concrete cover. If this problem not handled properly, it can lead to permanent failure of the structural (Cao, Cheung, & Chan, 2013;Li & Wang, 2008). Therefore, it is very important to predict the rust thickness in order to predict the damage of concrete due to corrosion.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Rust Thickness in Reinforced Concrete Structures to Enhanced the Asset Management for Coastal Infrastructures

Sutrisno

Hartana

Suprobo

2019

Journal of Infrastructure &Amp; Facility Asset Management

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Corrosion in reinforced concrete structure is a serious problem, especially for coastal infrastructure. Managing the coastal infrastructure from corrosion is a really essential action, to make sure that the infrastructure can be used properly throughout its service live. This research focused on analyzing the rust thickness on steel reinforcement due to corrosion. Series of corrosion test using galvanostatic was performed in this research. Furthermore, a predictive model based on Farraday's Law with uniform corrosion assumption also developed in this research and compared with the experimental data. Based on the simulation result, it was found that the predictive model of rust thickness based on Farraday's Law is capable to simulate the corrosion process and thickness of the rust.

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Model for cover cracking due to corrosion expansion and uniform stresses at infinity

Cited by 22 publications

References 11 publications

Assessing the efficacy of stainless steel for bridge deck reinforcement under uncertainty using Monte Carlo simulation

Assessing the efficacy of stainless steel for bridge deck reinforcement under uncertainty using Monte Carlo simulation

An Analytical Solution for Stress and Displacement Field for Arbitrarily Positioned Twin-Tunnel Excavation at Great Depth

Prediction of Rust Thickness in Reinforced Concrete Structures to Enhanced the Asset Management for Coastal Infrastructures

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