Time-Dependent Prediction on the Localized Corrosion of Steel Structure Using Spatial Statistical Simulation

Kainuma, Shigenobu; Yang, Muye; Xie, Jiajing; Jeong, Young‐Keun

doi:10.1007/s13296-021-00485-y

Cited by 11 publications

(5 citation statements)

References 27 publications

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“…The spherical model is the most common in spatial statistics. The previous studies showed that the spherical model could fit the semivariogram of the corroded surfaces of the steel plates [13][14][15]. It has a linear growth when the distance between two points is short (closer to the point of origin); however, it will be a line parallel to the horizontal axis when it passes the range value.…”

Section: ẑ(Smentioning

confidence: 99%

“… depends on a fit model to the measured points, the distance to the prediction location, and the spatial relationships among the measured values around the prediction location. For clarifying the spatial autocorrelation structure on the corrosion surface of the corroded specimens, a semivariogram has been used to extract the spatial statistics of the range and sill for representing the properties of the corrosion surface [13 15].…”

Section: Spatial Statistical Analysismentioning

confidence: 99%

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Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

Jiang

Hirohata

Liu

et al. 2022

Corrosion Engineering, Science and Technology

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The corrosion of bridging structures affects their stiffness and load-carrying capacity. Hence, predicting the degree of corrosion is critical for their reliability and safety. This study examined the applicability of the newly developed accelerated corrosion test authorised by ISO 16539 Method B for evaluating the corrosion characteristics of the weathering structural steel. The non-coated weathering steel was subjected to 28, 84, and 168 days of accelerated cyclic corrosion test. The same steel material was subjected to atmospheric exposure tests for 6 and 12 months at different locations. The corrosion behaviours of these different tests were compared by the semivariogram analysis. The results indicated that the corroded surfaces of the non-coated weathering steel obtained from the accelerated cyclic corrosion test and atmospheric exposure tests have similar spatial characteristics. The accelerated cyclic corrosion test could simulate the corrosion behaviour of the weathering steel under actual environments.

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Section: ẑ(Smentioning

confidence: 99%

Section: Spatial Statistical Analysismentioning

confidence: 99%

Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

Jiang

Hirohata

Liu

et al. 2022

Corrosion Engineering, Science and Technology

View full text Add to dashboard Cite

show abstract

“…Previous research has confirmed a correlation between the spatial statistics of steel plate corroded surfaces and the mean corrosion depth [17]. Investigating the relationship between these spatial statistical values and the mean corrosion depth of corroded surfaces makes it possible to compare the spatial properties of steels in different corrosive environments [14]. In this section, the relationship between the spatial statistical values and the mean corrosion depth for two types of steel in differing corrosion environments was examined.…”

Section: Spatial Statistical Analysismentioning

confidence: 99%

“…However, exploring the relationship between corrosion damage and its aging remains challenging due to the limited target materials for each method. One of the spatial statistical analyses, semi-variogram functions, can help unravel the spatial autocorrelation structure of rusted surfaces and their temporal characteristics [14]. The semi-variogram is a spatial statistical method designed to quantitatively evaluate the spatial correlation between distance and variance for each data point and was developed in the field of mining science to predict the spatial distribution pattern of deposits.…”

Section: Introductionmentioning

confidence: 99%

An analysis on spatial properties of corroded surface of weathering steel by different environmental conditions

Feng,

Mikihito,

Kazuki

et al. 2023

Corrosion Engineering, Science and Technology

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This study examined the spatial characteristics of the corroded surface of weathering steel by different environmental conditions to evaluate the applicability of two accelerated corrosion tests. Two types of weathering steel were subjected to the two accelerated corrosion tests for 28, 84, and 168 days. The same materials were also exposed at two separate locations for 180 and 365 days of atmospheric exposure tests. The corrosion behavior of the weathering steel was investigated by spatial statistical analysis. The analysis suggested that the spatial properties of the corrosion of weathering steel experimented in the early stage of both accelerated corrosion tests were close to those obtained in the atmospheric exposure tests. Furthermore, the corroded surfaces experimented under the ISO 16539 Method B accelerated corrosion test demonstrated a closer resemblance to the corroded surfaces of weathering steel in real corrosion environments compared to those derived from the Cyclic Corrosion Test Method A.

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“…1. This localized corrosion at the end of the bridge pier is hard to detect and avoid through regular inspection and maintenance, and it is even more difficult to remove the rust and repaint (Kainuma et al 2021;Kim et al 2018a;Kim et al 2018b). Therefore, particular attention should be given to the end corrosion of steel CHS bridge piers.…”

Section: Introductionmentioning

confidence: 99%

Seismic Performance Evaluation of Steel Circular Hollow Section Bridge Piers with Corroded Ends

Zhang

Wen

Han

et al. 2022

Preprint

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Steel circular hollow section (CHS) bridge piers have been widely used in the engineering practices. However, end corrosion is one of the most common damages to steel bridge piers, leading to degradation of seismic performance and changing of failure modes. This paper investigates the seismic performance of the corroded steel CHS bridge piers and proposes a method to predict its lateral ultimate strength under the transverse cyclic loads. Firstly, the multi-scale finite element (FE) models of the CHS steel bridge pier are developed considering both the local buckling and the end corrosion, which are calibrated against the previous test results. Subsequently, the effects of the characteristic parameters (i.e., the corrosion conditions and the column parameters) on the failure modes and the horizontal ultimate strengths of the corroded steel CHS bridge piers are investigated, and then the sensitivity of the parameters is quantified using the Sobol method. Finally, a method is presented for estimating the ultimate strength of the end corroded steel CHS bridge piers under the horizontal cyclic loads. Results show that the end corroded bridge piers exhibit more significant stress concentration when comparing with the uncorroded bridge piers. The buckling half-wavelength is influenced by corrosion parameters, and the buckling position changes. The ultimate strengths of end corroded bridge piers are reduced, which is more sensitive to the corrosion rate. The proposed theoretical method to predict the ultimate strengths of corroded steel CHS bridge piers is accurate enough with errors less than 10%.

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Time-Dependent Prediction on the Localized Corrosion of Steel Structure Using Spatial Statistical Simulation

Cited by 11 publications

References 27 publications

Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

Application of accelerated cyclic test with synthetic ocean water salt-deposition process to the evaluation on corrosion characteristics of weathering steel

An analysis on spatial properties of corroded surface of weathering steel by different environmental conditions

Seismic Performance Evaluation of Steel Circular Hollow Section Bridge Piers with Corroded Ends

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