Fatigue life prediction for prestressed concrete beams under corrosion deterioration process

Su, Xiaochao; Ma, Yafei; Wang, Lei; Guo, Zhang; Zhang, Jianren

doi:10.1016/j.istruc.2022.07.043

Cited by 15 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Equation (11), the temporal modulation function A is a parameter related to λ and β. In order to compare the effects of different temporal modulation function parameters on the time-varying correlation function of fluctuating wind speed at the moving point, the time-histories of non-stationary fluctuating wind speed at the moving point under β = 4 while λ is 0.04, 0.08, 0.12, respectively, and λ = 0.08 while β is 2, 4, and 6, respectively, are generated, with those at fixed points generated as well, while other parameters are set as the same as those in Section 2.2.…”

Section: Effects Of Different Temporal Modulation Function Parametersmentioning

confidence: 99%

“…Therefore, the energy-saving and sustainable development of high-speed trains is particularly important [8,9], which can also improve passenger comfort in the long run. Generally, promoting energy saving and sustainable development of high-speed trains and ultimately realizing the low-carbon operation of high-speed trains have become important goals in high-speed railway operation [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characteristics of Fluctuating Wind Speed Spectra of Moving Vehicles under the Non-Stationary Wind Field

Hu,

Zhang,

Han

et al. 2023

Sustainability

View full text Add to dashboard Cite

To promote energy saving, emission reduction, and sustainable development of high-speed trains, as well as achieve low-carbon operation of these trains. It is necessary to establish a fluctuating wind speed spectra model that can accurately describe the characteristics of the fluctuating wind speed field of the moving vehicle. This will help explore the effects of strong winds on the running resistance, energy consumption, safety, and comfort of trains. In this paper, based on Priestley’s evolutionary power spectral density (EPSD) theory, an efficient method was developed for generating the fluctuating wind speeds at the moving point under the non-stationary wind field. On such basis, the effects of different mean wind speeds, ground clearances, temporal modulation function parameters, and vehicle’s moving speeds on the time-varying correlation function ratio of fluctuating wind speed at fixed and moving points were analyzed. Subsequently, the relationship between the time-varying correlation functions of fluctuating wind speed at the fixed and moving points was established by analyzing the sensitivity of the above parameters, and a theoretical model of fluctuating wind speed spectra of the moving point under the non-stationary wind field was proposed. In addition, the relational expression of fluctuating wind speed spectra of the moving point under stationary and non-stationary wind fields was established, which was further validated using the fluctuating wind speed spectra model at the fixed points with different modulation function forms. The results demonstrated that the direct generation method can avoid n times of POD decomposition and Ns∑j=1nNqjj times of FFT calculation, improve the calculation speed, and save memory. The proposed fluctuating wind speed spectra model at the moving point under the non-stationary wind field is in good agreement with the corresponding target one, indicating the high accuracy of the proposed model. Meanwhile, it is also noted that the fluctuating wind speed spectra at the moving point under the non-stationary wind field can be obtained by modulating the spectra under the stationary wind field using temporal modulation function, which is the same as that of the fluctuating wind speed spectra at fixed points under the non-stationary wind field.

show abstract

Section: Effects Of Different Temporal Modulation Function Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characteristics of Fluctuating Wind Speed Spectra of Moving Vehicles under the Non-Stationary Wind Field

Hu,

Zhang,

Han

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The fatigue performances of reinforcements and concrete are primarily influenced by factors such as fatigue strength degradation, fatigue stiffness degradation, residual strain accumulation, and the fatigue S-N curve. The initiation of failure in reinforced concrete (RC) bridges commonly stems from the failure of reinforcements due to factors like corrosion and fatigue (Su et al, 2022). The fatigue life of a well-designed RC beam is contingent upon the dimensions and quantity of reinforcements (Prashanth et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Gao et al (2019) established the Generalized Density Evolution Equation (GDEE) for residual fatigue life by integrating the Probability Density Evolution Method (PDEM). Su et al (2022) proposed a fatigue life prediction method for corroded PC beams, incorporating the coupling effect of corrosion and fatigue. The accurate prediction of fatigue life is essential to ensure the safety and durability of bridges.…”

Section: Introductionmentioning

confidence: 99%

Fatigue performance analysis of precast segmental assembled concrete beams

Liang,

Ren,

Tong

et al. 2024

Advances in Structural Engineering

View full text Add to dashboard Cite

In recent years, assembled bridges have become widely utilized in bridge construction, raising concerns about durability-related bridge diseases over time. These issues significantly impact the fatigue life of assembled bridges, necessitating an in-depth exploration of their fatigue performance. While existing research primarily concentrates on the transverse connection of multiple longitudinal beams, there is a notable dearth of studies on longitudinal precast segmental assembled bridges. This paper addresses this gap by establishing a fatigue benchmark finite element model for segmental assembled concrete beams, building upon existing experiments. The study employs numerical simulation to analyze the entire fatigue process, examining stress distribution, damage development, and considering the influence of reinforcement corrosion. Furthermore, a fatigue life prediction method, based on fatigue residual strength (R), is proposed for predicting the fatigue life (N) of concrete in precast segmental assembled beams. Results reveal that prestressed and ordinary reinforcements experience increasing stress with loading cycles, peaking around 100,000 cycles. Throughout fatigue loading, compressive stress in concrete remains low, preventing fatigue compression failure. However, tensile stress near joints gradually rises, initiating cracks at the mid-span beam’s bottom. With continued cyclic loading, these cracks propagate towards the loading point. The upper and lower limits of fatigue life predicted by the fatigue life prediction method closely align with the compressive fatigue test values of concrete, proposed fatigue life prediction method is efficient and accurate.

show abstract

“…The influence of both sustained loading and corrosion on the performance of reinforced concrete beams is also studied [ 14 , 15 ]. Other studies focus on the life prediction of concrete structures exposed to a chloride environment, including precast concrete structures [ 16 ] and prestressed concrete beams [ 17 , 18 ], where some theoretical analysis models considering corrosion were proposed. An actual case of the failure of a reinforced concrete bridge due to marine environment corrosion was investigated by corrosion mass loss and mechanical testing in the laboratory [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on Fatigue Performance of Reinforced Concrete T-Shaped Beams under Corrosion–Fatigue Coupling Action

Zhang

et al. 2023

Materials

View full text Add to dashboard Cite

Highway bridges in coastal areas are seriously affected by the marine environment, while most of the existing test methods for bridge-reinforced concrete beams considering both corrosion and fatigue factors are carried out in an alternating manner, which cannot reflect the actual service conditions of the bridge structure. This paper focuses on an experimental study of the coupled influence of reinforcement corrosion and fatigue loading in reinforced concrete T-shaped beams. A novel loading test device that can realize the corrosion–fatigue coupling effect is designed, and then six reinforced concrete T-shaped beams are fabricated and tested. For the corrosion–fatigue coupling test beams, the variation law of beam cracks, failure modes, steel strain development law, load-deflection relationship, and fatigue life are analyzed and compared with that of the simple fatigue test beams. The test results show that the cracks of the test beam develop continuously with the fatigue loading times under the corrosion–fatigue coupling environment. The fatigue failure modes are all brittle fractures of the main steel bars, which present the shape of uneven oblique section tearing. The new testing device and approach can provide direct insights into the interaction of reinforcement corrosion and cyclic loading on the fatigue behavior of T-shaped RC beams, which can be further used to understand the long-term performance of bridge structures under complex marine environments.

show abstract

Fatigue life prediction for prestressed concrete beams under corrosion deterioration process

Cited by 15 publications

References 37 publications

Characteristics of Fluctuating Wind Speed Spectra of Moving Vehicles under the Non-Stationary Wind Field

Characteristics of Fluctuating Wind Speed Spectra of Moving Vehicles under the Non-Stationary Wind Field

Fatigue performance analysis of precast segmental assembled concrete beams

Experimental Research on Fatigue Performance of Reinforced Concrete T-Shaped Beams under Corrosion–Fatigue Coupling Action

Contact Info

Product

Resources

About