Research Article | Open Access

Jian Hou, Li Song, "Numerical Investigation on Stress Concentration of Tension Steel Bars with One or Two Corrosion Pits", *Advances in Materials Science and Engineering*, vol. 2015, Article ID 413737, 7 pages, 2015. https://doi.org/10.1155/2015/413737

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

**Academic Editor:**Ana S. Guimarães

#### Abstract

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.

#### 1. Introduction

Steel reinforcement in RC structures is generally protected by a passive film formed in the alkaline environment due to the hydration products of cement [1, 2]. However, the protective film can be destroyed by attack of aggressive ions such as chloride and carbon dioxide [3]. Due to varying external environments, nonhomogeneous properties of both concrete cover and passive film, and metallurgical and compositional nonuniformity of steel, corrosion in applications is often observed to be nonuniformly distributed along the length of a steel bar. Pitting corrosion is a localized form of corrosion by which cavities or holes are produced in the material. Corrosion pits, acting as geometric discontinuities, lead to stress concentration and facilitate fatigue crack initiation and propagation [4–6]. A small, narrow pit with minimal overall steel loss can lead to the failure of an entire RC structure. Consequently, pitting is considered to be more dangerous than uniform corrosion damage.

Understanding and predicting the effect of corrosion pits on mechanical properties of corroded steel bars is very important for the integrity and safety of existing RC structure in erosion environments. Some tensile tests have been conducted to characterize the reduction of the mechanical properties of corroded steel bars [7, 8]. However, these studies used the average corrosion loss without considering the nonuniform distribution of corrosion pits. Tang et al. [9] detected the nonuniform distribution of corrosion pits using the 3D laser scanner and experimentally investigated the effect of corrosion nonuniformity on the mechanical property degradation of deformed steel bars. But these studies only investigated the macromechanical properties such as yield strength, ultimate strength, and elongation, without considering the nonuniform distribution of stress around corrosion pits before steel bars fracture, which is important for fatigue failure of steel bars. Cerit [10] numerically investigated the stress concentration factor (SCF) at the corrosion pit of tension circular cross section shaft, in which the shape of corrosion pit was simplified as semiellipsoid. Although there are some experimental and numerical works on the effect of corrosion pits on mechanical properties of corroded steel bars, few or no three-dimensional (3D) and systematic studies, which cover different aspect ratios and two interacting corrosion pits on estimation of SCF, have been cited in the literature.

In the present study, the stress concentration effect of single semiellipsoidal corrosion pits with various aspect ratios and pit depths has systematically been investigated for uniaxial tension loading by conducting a series of 3D stress analyses. Also, the contribution of two interacting corrosion pits to value of SCF has been examined for various angles in transverse direction and distances in longitudinal direction.

#### 2. Finite Element Model

In the computations, the shape of corrosion pits is ideally simplified as semiellipsoid, which is also adopted in the literatures [10, 11]. The length () and radius () of steel bars are, respectively, 100 mm and 10 mm. A linear elastic model was used, and modulus of elasticity and Poisson’s ratio are taken as 200 GPa and 0.3, respectively. SCF is calculated by using the ratio of maximum tension stress to nominal tension stress. Since the cross-sectional area of pit is very small compared with that of the steel bar, it is neglected in the calculation of the nominal tension stress. A uniform stress of 100 MPa is applied on the end of steel bar. For single corrosion pit problem (see Figure 1(b)), the longitudinal radius of pit () is varied from 10 mm to 0.2 mm while the transverse radius and pit depth () are set to be 2 mm, corresponding to the value of pit aspect ratio () from 0.2 to 10. Also, the pit depth is varied from 0.5 mm to 5 mm while the value of is set to be 0.5, corresponding to the value of pit relative depth () from 0.05 to 0.5. For two transverse pits’ problem (see Figure 2(a)), the angle of two pits () is varied from 25° to 60° while the values of and are set to be 2 mm and 4 mm, respectively. For two longitudinal pits’ problem (see Figure 3(a)), the distance of two pits () is varied while the values of and are set to be 2 mm and 4 mm, respectively.

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All analyses are carried out using the software ANSYS. Owing to the symmetry, only quarter of each steel bar is modeled, as shown in Figures 1(c), 2(b), and 3(b). Appropriate boundary constraints are placed in all planes of symmetry. To accommodate the variations of the stress field quantities near the pit, the size of the element decreases gradually with decreasing distance from the pit. A mesh convergence study has been carried out to ensure that the SCF in the pit region is convergent; the SCF for various mesh numbers is shown in Figure 4. In the present study, the simulation model for steel bar with single pit ( mm, mm) is constructed nearly by 270000 elements. For 3D numerical analyses, uniform shapes and forms of elements play an important role in the sensitivity of the results. When the pit dimensions and number are changed, the mesh density around the pit is altered to ensure consistency in the size of the elements created around each pit, as shown in Figures 1(c), 2(b), and 3(b).

#### 3. Single Corrosion Pit Problem

##### 3.1. The Distributions of Stress with Various Pit Aspect Ratios

Figure 5 shows the stress distributions with and . From the stress contour, it can be seen that the stress concentration zone is near the pit, which narrows gradually with increasing value of . The maximum stress region is near the intermediate cross section of pit in tension direction. The maximum stress occurs at the cross points of the surface of steel bar and the intermediate cross section of pit, and the minimum stress occurs at the ends of the pit in tension direction. The SCF values versus for mm are shown in Figure 6. It is obvious that the SCF values linearly increase with increasing *.* The SCF values are 1.164 and 12.41 for and , respectively.

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##### 3.2. The Distributions of Stress with Various Pit Relative Depths

The stress distributions with and are given in Figure 7. From the stress contour, it is shown that the stress concentration zone becomes proportionally larger with increasing value of . The overall shape of stress contour is similar for different . But the relative size of maximum stress region narrows slightly with increasing value of . The variations of SCF with for are shown in Figure 8 (calculated value). The SCF values increase nonlinearly with increasing , and they are 1.452 and 1.727 for and , respectively.

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Actually, the tension area of steel bar at pit root decreases gradually with increasing for given *.* So the SCF values should increase gradually with increasing even if the stress distributions are absolutely similar for different . Considering only the decrease of tension area of steel bar with increasing , the corrected SCF values (see Figure 8) can be obtained based on the SCF value for . It can be seen that the corrected values are smaller than the calculated values, which indicates that the stress distributions become more uneven with increasing *.* The conclusion conforms with the stress distributions in Figure 7.

#### 4. Double Corrosion Pits Problem

##### 4.1. The Interaction of Two Transverse Pits

The stress distributions with , , and are given in Figure 9. From the stress contour, it can be found that the maximum stress region lies between two pits when is smaller. With the increase of the angle of two pits, the maximum stress region is gradually away from the symmetry plane between two pits. When , it is obvious that the maximum stress region is near the intermediate cross section of each pit in tension direction and the overall stress distribution near the pits is similar to that of single corrosion pit problem. When is smaller, the maximum stress occurs at the cross points near symmetry plane of the surface of steel bar and the intermediate cross section of each pit. But when is big enough, the maximum stress occurs at the cross points away from symmetry plane of the surface of steel bar and the intermediate cross section of each pit. The variations of SCF values with for mm and mm are shown in Figure 10. The SCF values decrease nonlinearly with increasing , and they are 2.437 and 1.512 for and , respectively. It can be noted that the SCF value approaches gradually 1.508 of single pit problem with increasing . The above analysis shows that the interaction of two transverse corrosion pits decreases gradually with increasing angle of two pits.

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##### 4.2. The Interaction of Two Longitudinal Pits

The stress distribution with mm is given in Figure 11. From the stress contour, it can be seen that the region between two corrosion pits is the minimum stress region. The maximum stress region is near the intermediate cross section of each pit in tension direction and is far away from the symmetry plane between two corrosion pits. The maximum stress occurs at the cross points of the surface of steel bar and the intermediate cross section of each pit. So the influence of interaction of two longitudinal pits on the SCF is very small. Because the region between two corrosion pits is the minimum stress region, the SCF values for two longitudinal pits’ problem are even smaller than that for single pit problem. When mm (given mm and mm), the SCF value is 1.452. Consequently, the interaction of two longitudinal pits can be ignored in the calculation of SCF even if the distance of two pits is very small.

#### 5. Conclusions

From this study, it is concluded that pit aspect ratio () is a main parameter affecting the value of SCF. The SCF value increases linearly with increasing and increases nonlinearly with increasing pit relative depth () for single corrosion pit problem. The maximum stress region is near the intermediate cross section of pit in tension direction and the maximum stress occurs at the cross points of the surface of steel bar and the intermediate cross section of pit.

For double corrosion pits problem, the SCF value decreases nonlinearly and approaches gradually that of single pit problem with increasing angle of two transverse pits . When is small, the maximum stress occurs at the cross points near symmetry plane of the surface of steel bar and the intermediate cross section of each pit. But when is big enough, the maximum stress occurs at the cross points away from symmetry plane of the surface of steel bar and the intermediate cross section of each pit. The interaction of two longitudinal pits can be ignored in the calculation of SCF even if the distance of two pits is very small.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgment

This work was supported by the National Natural Science Foundation of China (Grants nos. 51208421 and 51378506).

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#### Copyright

Copyright © 2015 Jian Hou and Li Song. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.