Probability Model of Residual Strength of Materials Under Uncertain Cyclic Load

Gao, Jianxiong; An, Zongwen; Ma, Qiang; Zhao, Shendan

doi:10.1007/s12204-020-2172-5

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The theoretical formula delineates the degradation trend of material strength, manifesting an initial slow decline followed by a rapid decline, consistent with the degradation pattern observed in a substantial number of bridges in the United States. Based on the material residual strength model in reference [29], this paper establishes the degradation model of highway bridge technical condition as follows:…”

Section: Model Of Bridge Technical Degradationmentioning

confidence: 99%

Optimization of Preventive Maintenance Timing of Highway Bridges Considering China’s “Dual Carbon” Target

Pei,

Wang,

Liu

et al. 2023

Sustainability

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The dual carbon target is a two-stage carbon reduction goal proposed by China, while the bridge maintenance strategy does not consider the need for sustainable development. Therefore, this article studies the optimization of bridge maintenance timing under China’s dual carbon goals. Firstly, this paper aims to minimize the total cost of maintenance and carbon emissions, considering the continuous effects of carbon pricing and emissions in the context of the dual carbon goals. The CHINAGEM-E model is employed to predict carbon prices, and a preventive maintenance decision-making method for highway bridges is established. Secondly, based on the theory of material residual strength, a degradation model for the technical condition of highway bridges is constructed. Finally, an in-depth case analysis of an in-service highway bridge is conducted to derive optimal maintenance solutions under three scenarios. In comparison to scenarios considering only maintenance costs or those based on benchmark carbon prices, the comprehensive maintenance cost under the dual carbon targets is the highest. In the total maintenance cost, carbon emission costs constitute over 50%, emphasizing the need for increased attention to carbon emission cost studies in future maintenance research. The methodology proposed in this paper is the first to connect carbon prices with the timing of preventive maintenance for bridges, providing a more scientific and sustainable basis for future highway bridge maintenance decisions.

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Section: Model Of Bridge Technical Degradationmentioning

confidence: 99%

Optimization of Preventive Maintenance Timing of Highway Bridges Considering China’s “Dual Carbon” Target

Pei,

Wang,

Liu

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…For instance, Santiago analyzed the effect of surface treatment of test specimens on fatigue test results, 3 Gao discussed the impact of damage depth at different stages on fatigue strength, 4 and Bao studied the influence of defect size and location in the test specimen on fatigue life 5 . Gao 6 conducted experiments to derive the impact of internal and external factors on the residual strength of materials. However, in the current phase of fatigue testing, the collection of data on uncertainty factors is a significant challenge due to the rising costs of labor and materials.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty for fatigue life of low carbon alloy steel based on improved bootstrap method

Liu

et al. 2023

Fatigue Fract Eng Mat Struct

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Fatigue testing is a crucial technique for assessing the fatigue performance of materials and components. However, the testing process often involves numerous uncertainties, such as variations in part roughness and size, and the collected data typically constitutes small samples. This paper proposes an improved bootstrap method with cycle of uncertainty to address the limitations of traditional bootstrap methods in estimating uncertainties in small sample sizes. The proposed method was applied to estimate the effect of surface roughness and common normal size on fatigue tests, resulting in improved estimation accuracy. The research contributes to the development of improved methods for fatigue life estimation, which has practical implications for mechanical component design and optimization.

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Probability Model of Residual Strength of Materials Under Uncertain Cyclic Load

Cited by 2 publications

References 15 publications

Optimization of Preventive Maintenance Timing of Highway Bridges Considering China’s “Dual Carbon” Target

Optimization of Preventive Maintenance Timing of Highway Bridges Considering China’s “Dual Carbon” Target

Uncertainty for fatigue life of low carbon alloy steel based on improved bootstrap method

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