Prediction of fatigue crack growth in steel bridge components using acoustic emission

Yu, Jing; Ziehl, Paul; Zárate, Boris A.; Caicedo, Juan M.

doi:10.1016/j.jcsr.2011.03.005

Cited by 159 publications

(105 citation statements)

References 19 publications

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“…Each NDT method has limits with regard to its application and level of accuracy under different testing conditions. Testing and acceptability of flaws in the welds are well investigated and standardised [20]. There is no such a kind of standard for riveted connections.…”

Section: Detailed Investigation (Phase Ii)mentioning

confidence: 99%

“…Since the probability of crack detection increases by loading the examined members with a high but still admissible load on the bridge which results in opening possible cracks, the testing has been carried out under normal traffic on the bridge. The applied method relies on the analysis of acoustic waves generated by active destructive processes that develop in a bridge under service loads [19,20]. The signals received by the acoustic sensors located on the structure are compared with reference signal database complied beforehand for specific destructive processes.…”

Section: Detailed Investigation (Phase Ii)mentioning

confidence: 99%

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Fatigue assessment of existing riveted truss bridges: case study

Siwowski¹

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Many steel riveted bridges have been built in Poland since 1950 and they have not reached their design working lives yet. Nevertheless, a number of fatigue damages are found, especially with structural joints. Moreover, in the past 25 years the traffic on the Polish road network has increased significantly leading to the increasing number of heavy vehicles in the traffic flows. This may affect the safety, serviceability and durability of existing bridges. The road administration is therefore interested in reliable and agreed methods to assess the safety and durability of existing bridges. The special procedure has been prepared to provide technical insight on the way in which existing steel structures could be assessed and the remaining fatigue life could be estimated. This approach follows the principles and application rules in the Eurocodes and provides a scheme with various levels of analysis: a basic level with general methods and further levels, more complex and sophisticated and requiring specific experience and knowledge. This procedure has been used for the fatigue assessment of the 60-year-old riveted truss bridge. The applied procedure as well as the main results of the assessment have been presented in the paper.

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Section: Detailed Investigation (Phase Ii)mentioning

confidence: 99%

Section: Detailed Investigation (Phase Ii)mentioning

confidence: 99%

Fatigue assessment of existing riveted truss bridges: case study

Siwowski¹

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Next, we are especially interested when K max exceeds K IC corresponding to the critical transition from Stage II (stable propagation) to Stage III (unstable propagation). The AE behavior takes a distinctive upturn at this transition, an example of which is shown in Figure 1 along with a compact tensile test specimen that was utilized to generate the fatigue crack (Yu et al, 2011).…”

Section: Steel Structuresmentioning

confidence: 99%

Acoustic Emission for Civil Structures

Ziehl¹,

Pollock²

2012

Acoustic Emission

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“…However, over time, these stresses will cause aging and weakening of structural systems constructed with concrete and steel. Corrosion of reinforcement [1], alkali-silica reaction [2], and cracking [3], along with other mechanisms are major contributing factors. This deterioration of structural integrity, if not detected in time, may reduce service life of nuclear facilities and/or lead to unnecessary or untimely repairs of structures.…”

Section: Introductionmentioning

confidence: 99%

Particle filtering based structural assessment with acoustic emission sensing

Yan¹,

Abdelrahman²,

Zhang³

et al. 2017

AIP Conference Proceedings

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Vertical impedance measurements of concrete bridge deck cover condition without a direct electrical connection to the reinforcing steel AIP Conference Proceedings 1806, 080004 (2017) Abstract. Nuclear structures are designed to withstand severe loading events under various stresses. Over time, aging of structural systems constructed with concrete and steel will occur. This deterioration may reduce service life of nuclear facilities and/or lead to unnecessary or untimely repairs. Therefore, online monitoring of structures in nuclear power plants and waste storage has drawn significant attention in recent years. Of many existing non-destructive evaluation and structural monitoring approaches, acoustic emission is promising for assessment of structural damage because it is non-intrusive and is sensitive to corrosion and crack growth in reinforced concrete elements. To provide a rapid, actionable, and graphical means for interpretation Intensity Analysis plots have been developed. This approach provides a means for classification of damage. Since the acoustic emission measurement is only an indirect indicator of structural damage, potentially corrupted by nongenuine data, it is more suitable to estimate the states of corrosion and cracking in a Bayesian estimation framework. In this paper, we will utilize the accelerated corrosion data from a specimen at the University of South Carolina to develop a particle filtering-based diagnosis and prognosis algorithm. Promising features of the proposed algorithm are described in terms of corrosion state estimation and prediction of degradation over time to a predefined threshold.

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Prediction of fatigue crack growth in steel bridge components using acoustic emission

Cited by 159 publications

References 19 publications

Fatigue assessment of existing riveted truss bridges: case study

Fatigue assessment of existing riveted truss bridges: case study

Acoustic Emission for Civil Structures

Particle filtering based structural assessment with acoustic emission sensing

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