Mesoscale model and X-ray computed micro-tomographic imaging of damage progression in ultra-high-performance concrete

Homel, Michael A.; Iyer, Jaisree; Semnani, Shabnam J.; Herbold, Eric B.

doi:10.1016/j.cemconres.2022.106799

Cited by 25 publications

(2 citation statements)

References 130 publications

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“…This technique provides a quantitative insight into the internal damage of concrete samples, shedding light on both the mechanics and the evolution of mesoscopic damage. There has been research focusing on the microstructural damages to concrete under static loads [ 14 ] or dynamic loads [ 15 ]; another study analyzed mesoscopic characteristics of concrete samples drilled from a prefabricated tunnel lining element after a fire [ 16 ]; and additional research probed into tunnel lining damage distribution under the heat impact coupling effect using CT scanning [ 17 ]. There has also been research utilizing X-ray CT images to reveal the importance of microstructure recovery in restoring the performance of concrete damaged by fire [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Macro–Meso Damage Analysis of Tunnel Lining Concrete under Thermal–Mechanical Coupling Based on CT Images

Zheng,

Wang,

Zhang

et al. 2024

Materials

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The mechanical properties and failure modes of concrete are controlled by its mesoscopic material composition and structure; therefore, it is necessary to study the deterioration characteristics of tunnel lining concrete under fire from a mesoscopic perspective. However, previous studies mostly analyzed the damage and failure process from a macro-homogeneous perspective, which has certain limitations. In this paper, a thermal–mechanical coupling test device was modified to simulate the state of concrete under tunnel fire conditions. Combined with CT technology, the macroscopic properties and mesoscopic characteristics of concrete were observed. Features were obtained, such as the change in compressive strength under fire, as well as mesoscopic deterioration characteristics. The damage variable D was defined to quantify mesoscopic damage, and the link between mesoscopic deterioration characteristics and macroscopic performance was established, which can be used to predict compressive strength loss through mesoscopic characteristics.

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Section: Introductionmentioning

confidence: 99%

Macro–Meso Damage Analysis of Tunnel Lining Concrete under Thermal–Mechanical Coupling Based on CT Images

Zheng,

Wang,

Zhang

et al. 2024

Materials

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show abstract

“…The random spatial distribution techniques could also be combined with real aggregate morphology obtained by XCT [23]. In recent years, studies on fracture in concrete with realistic aggregate distributions were carried out using lattice models [24; 25], cohesive elements [26; 27], damage/plasticity models [28], phase field models (PFMs) [29; 30], material point methods (MPMs) [6] and localizing gradient damage models (LGDM) [31]. In addition to heteroge-neous cementitious materials, image-based modeling was performed to study the failure of the pure cement paste [32].…”

Section: Introductionmentioning

confidence: 99%