Influence of primary cracks on static and fatigue compressive behavior of concrete under water

Miura, Taito; Sato, Katsuki; Nakamura, Hikaru

doi:10.1016/j.conbuildmat.2021.124755

Cited by 16 publications

(1 citation statement)

References 22 publications

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“…One study [56] presented a dodging algorithm to eliminate uneven illumination, based on an investigation of the statistical aspects of dam crack pictures, employing the regional features of block images and the global features of related domains. In [57], a simpler approach for estimating the wear life of fractured concrete below water was developed, utilizing a changed design code that took into account the crack's reduction in stress amplitude. Ref.…”

Section: Other Methods: Including the Use Of Fiber-optic Sensors Ther...mentioning

confidence: 99%

Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem

et al. 2023

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This paper presents the development of an underwater crack detection system for structural integrity assessment of submerged structures, such as offshore oil and gas installations, underwater pipelines, underwater foundations for bridges, dams, etc. Our focus is on the use of machine-learning-based approaches. First, a detailed literature review of the state of the current methods for underwater surface crack detection is presented, highlighting challenges and opportunities. An overview of the image augmentation approach for the creation of underwater optical effects is also presented. Experimental results using a standard network-based machine learning approach, which is used for surface crack detection in onshore environments, are presented. A series of test cases is presented in which existing networks’ performance is improved using augmented images for underwater conditions. The effectiveness and accuracy of the proposed approach in detecting cracks in underwater concrete structures are demonstrated. The proposed approach has the potential to improve the safety and reliability of underwater structures and prevent catastrophic failures.

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Section: Other Methods: Including the Use Of Fiber-optic Sensors Ther...mentioning

confidence: 99%

Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem

et al. 2023

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Modelling the Mechanical Behaviour of the RC Pipe Pile with Construction-Induced Damage and Cracks

Yu,

Wang

2024

Lecture Notes in Civil Engineering

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During the construction of the high-piled wharf, cracks may be induced in the top zone of the pre-stressed high-strength concrete pipe pile due to the high-frequency hitting. In this paper, the influence of the construction-induced damage and cracks on the mechanical properties of prestressed reinforced concrete (RC) pipe piles is studied. Finite element analysis is used to simulate the mechanical behaviour of the RC pipe piles with construction-induced damage and the corresponding ultimate bearing capacity of the damaged RC piles is predicted. Influence of different lengths of the construction-induced damage zone and maximum crack widths within the damage zone on the mechanical behaviour of the RC pipe pile is discussed. Results indicate that, the ultimate bearing capacity of the RC pipe piles with construction-induced damage in the top zone of the pile is reduced due to the damage. The failure of the RC pipe piles with construction-induced damage may occur at both the bottom and middle part of the pile for longer damage length and wider maximum crack width.

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Meso-crack evolution based constitutive model for concrete material under compression

Ren,

Liu,

Cui

et al. 2023

Composites Part B: Engineering

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Influence of primary cracks on static and fatigue compressive behavior of concrete under water

Cited by 16 publications

References 22 publications

Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem

Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem

Modelling the Mechanical Behaviour of the RC Pipe Pile with Construction-Induced Damage and Cracks

Meso-crack evolution based constitutive model for concrete material under compression

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