Durability degradation simulation of RC structure based on gamma process considering two-dimensional chloride diffusion and life probabilistic prediction

Zhang, Zhenhao; Ren, Xiaoxu; Niu, Qinglei; Zhang, Yi; Zhao, Bing

doi:10.1016/j.istruc.2022.12.059

Cited by 11 publications

(6 citation statements)

References 39 publications

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“…Many old buildings constructed in the last century may have used low-quality raw materials and have been subjected to chemical corrosion [1]. They have also experienced natural disasters such as earthquakes and other historical and current factors [2], severely compromising their structural health.…”

Section: Introductionmentioning

confidence: 99%

The Axial Compressive Properties of Long Columns of In-Service Brick Masonry Reinforced by Channel Steel

Chen,

Ao,

Liang

2024

Buildings

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Channel steel-reinforced brick column technology has gained significant popularity in rural China due to its convenience and cost effectiveness. However, current research on channel steel reinforcement is sparse, and engineering applications often rely solely on construction experience. This reliance leads to significant construction errors, inconsistent reinforcement effects, and, in some cases, tragedies such as the collapse of Changsha’s “4.29” self-built houses. Therefore, in this paper, experimental and simulation studies on brick columns reinforced with external channel steel were conducted, and the results show that channel steel reinforcement can significantly enhance the axial load capacity of brick columns. However, increased initial stress levels and height-to-thickness ratios substantially reduce the reinforcement effect. Under axial pressure, the outer channel steel fails mainly through bending and buckling instability. Still, due to its good ductility, its failure occurs later than the brick column after being restrained by sufficient wall screws. Based on the experimental and simulation results, a method for calculating the axial compressive bearing capacity of the reinforced column is proposed, providing theoretical support and engineering guidance for applying this reinforcement method.

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Section: Introductionmentioning

confidence: 99%

The Axial Compressive Properties of Long Columns of In-Service Brick Masonry Reinforced by Channel Steel

Chen,

Ao,

Liang

2024

Buildings

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“…Numerous methods for estimating reliability from degradation data have been proposed [30,31]. While degradation path modeling is commonly employed, it has limitations in handling time-varying systems and is effective only when randomness from environmental factors is negligible.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Shift in Nil-Ductility Transition Reference Temperature for RPV Steels Due to Irradiation Embrittlement Using Probability Distributions and Gamma Process

Tang,

Li,

et al. 2024

Metals

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Reactor pressure vessel (RPV) steels are highly susceptible to irradiation embrittlement due to prolonged exposure to high temperature, high pressure, and intense neutron irradiation. This leads to the shift in nil-ductility transition reference temperature—∆RTNDT. The change in ∆RTNDT follows a certain distribution pattern and is impacted by factors including chemical composition, neutron fluence, and irradiation temperature. Existing empirical procedures can estimate ∆RTNDT based on fitting extensive irradiation embrittlement data, but their reliability has not been thoroughly investigated. Probability statistical distributions and the Gamma stochastic process were performed to model material property degradation in RPV steels from a pressurized water reactor due to irradiation embrittlement, with the probability models considered being normal, Weibull, and lognormal distributions. Comparisons with existing empirical procedures showed that the Weibull distribution model and the Gamma stochastic model demonstrate good reliability in predicting ∆RTNDT for RPV steels. This provides a valuable reference for studying irradiation embrittlement in RPV materials.

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“…32,33 The NHGP has made significant advancements in estimating the remaining useful lifetime of different systems, including 2008 Prognostic Health Management Data, 34 hydraulic Francis runners, 32 crack propagation, 31,[35][36][37] commercial SiC MOSFETs, 38,39 lithium-ion batteries, 33,40 ship pumps, 41 pitting corrosion, 42 concrete sewer pipes, 43 and reinforced concrete structures. 44 The degradation state of a system can be revealed by continuous monitoring or discrete inspections. 20,45,46 Continuous monitoring allows real-time assessment but requires higher costs and may not be feasible for systems that cannot be inspected during operation.…”

Section: Introductionmentioning

confidence: 99%

“…Then the non‐homogeneous gamma process (NHGP) is a better alternative for describing these degradation processes, as its shape function is non‐linear, allowing for a more flexible adaptation to the time‐varying degradation rates 32,33 . The NHGP has made significant advancements in estimating the remaining useful lifetime of different systems, including 2008 Prognostic Health Management Data, 34 hydraulic Francis runners, 32 crack propagation, 31,35–37 commercial SiC MOSFETs, 38,39 lithium‐ion batteries, 33,40 ship pumps, 41 pitting corrosion, 42 concrete sewer pipes, 43 and reinforced concrete structures 44 …”

Section: Introductionmentioning

confidence: 99%

Non‐periodic inspection and replacement policy of system subject to non‐homogeneous gamma degradation process

Yao,

Hu,

et al. 2023

Quality & Reliability Eng

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The non‐homogeneous gamma process can exhibit a convex average trend with a non‐linear shape parameter, providing significant flexibility in fitting an accelerated degradation process. However, few studies have been conducted on the maintenance modeling of systems undergoing a non‐homogeneous gamma degradation process despite its versatility. Meanwhile, most maintenance studies adopt a periodic inspection policy to reveal the degradation level. However, it is reasonable to inspect less frequently when the degradation level of the system is low and to perform inspections more frequently when the degradation level increases. Therefore, we conduct a study on the inspection/replacement policy of systems undergoing a non‐homogeneous gamma degradation process, where three non‐periodic inspection policies are investigated. We formulate the problem as a SMDP framework and present a value iteration algorithm to obtain the optimal action at each decision epoch that minimizes the long‐term average cost. A comprehensive numerical study is provided to illustrate the effectiveness of our proposed model.

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Durability degradation simulation of RC structure based on gamma process considering two-dimensional chloride diffusion and life probabilistic prediction

Cited by 11 publications

References 39 publications

The Axial Compressive Properties of Long Columns of In-Service Brick Masonry Reinforced by Channel Steel

The Axial Compressive Properties of Long Columns of In-Service Brick Masonry Reinforced by Channel Steel

Analysis of Shift in Nil-Ductility Transition Reference Temperature for RPV Steels Due to Irradiation Embrittlement Using Probability Distributions and Gamma Process

Non‐periodic inspection and replacement policy of system subject to non‐homogeneous gamma degradation process

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