Mesoscale fracture analysis of recycled aggregate concrete based on digital image processing technique

Peng, Yijiang; Kamel, Mahmoud M. A.; Wang, Yao

doi:10.1002/suco.201900338

Cited by 23 publications

(34 citation statements)

References 40 publications

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“…The aggregate grading was adjusted to obtain RAC with mechanical properties similar to those of NAC. Peng et al 41 conducted a mesoscale fracture analysis of RAC utilizing the digital image processing technique. The stress-strain curve, fracture energy and fracture distribution were analyzed and it was reported that the base force element method (BFEM) can be applied to study the failure mechanisms in heterogeneous materials, such as RAC.…”

Section: Introductionmentioning

confidence: 99%

Influence of mix composition on the properties of recycled aggregate concrete

Zaben

Maslehuddin

Al‐Amoudi

et al. 2021

Structural Concrete

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There is an increasing trend towards using recycled aggregate (RA) in concrete due to the shortage of high quality natural aggregates. The use of RA in concrete results in the conservation of natural resources, protects the environment and encourages sustainable construction. Though some studies have been conducted on the use of recycled aggregate concrete (RAC), the effect of mixture composition on its properties has not been well addressed. In the reported study, the effect of mixture composition, namely cement content and water/ cement ratio and the proportion of RA on the mechanical properties of RAC was evaluated, with the intention of developing varying grades of RAC. As reported in earlier studies, the properties of RAC were generally inferior to that of normal aggregate concrete (NAC). Notwithstanding this, RAC with acceptable mechanical properties can be produced utilizing RA, for example RAC with low strength can be used in non-structural applications. The construction industry should be encouraged to use RAC in building construction; as its use will lead to technical, economic and environmental benefits. Further, the use of RAC will lead to a sustainable development of the construction industry, particularly in regions that lack good quality natural aggregates.Based on the data developed in the reported study, the following quantities of RA are recommended to produce RAC: (i) 20% to produce low strength (20--30 MPa) concrete, (ii) 40% to produce medium (30-50 MPa) concrete and high strength (more than 50 MPa) concrete. Mathematical correlations between the mechanical properties of RAC with varying mix design parameters, such as cement content and water cement ratio and the quantity of RA, are also reported. These correlations can be used to predict the properties of RAC prepared with other proportions of RA and mix design parameters.bond strength, compressive strength, mixture proportions, modulus of elasticity, morphology, recycled aggregate concrete, tensile strength Discussion on this paper must be submitted within two months of the print publication. The discussion will then be published in print, along with the authors' closure, if any, approximately nine months after the print publication.

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Section: Introductionmentioning

confidence: 99%

Influence of mix composition on the properties of recycled aggregate concrete

Zaben

Maslehuddin

Al‐Amoudi

et al. 2021

Structural Concrete

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“…As shown recently 16 , damage in the early stages of of the prefailure regime mainly occurs away from the macrocrack path C . Similar stress redistributions around strain concentration sites have been observed to divert damage away from the crack path (viz., the crack tip) into the bulk of the sample 9,41 . Given that C essentially coincides with the energy bottleneck B(F E ) , this may initially seem counterintuitive given the close proximity to fracture of the bonds in B(F E ) .…”

Section: Resultsmentioning

confidence: 99%

“…Although only 2-3% of the Earth's landmasses, cities consume 60-80% of its energy, produce more than 75% of its greenhouse gases, and consume materials at a level that is projected to reach 90 billion tonnes by 2050 8 . These trends have seen a push for technologies that can harness disorder and heterogeneities in rational design and engineering of high performance and green materials 3,4,6,[9][10][11] . Great impetus for improvements in early detection of damage in materials and structures has also arisen, with the confluence of reduced cost and advances in nondestructive microstructural sensing technology, the rapid growth in construction and manufacturing activities, and the emergence of continuous structural health monitoring to meet government regulations on new and aging infrastructure 12,13 .…”

Section: List Of Symbols α(E)mentioning

confidence: 99%

Early prediction of macrocrack location in concrete, rocks and other granular composite materials

Tordesillas

Kahagalage

Ras

et al. 2020

Sci Rep

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Heterogeneous quasibrittle composites like concrete, ceramics and rocks comprise grains held together by bonds. The question on whether or not the path of the crack that leads to failure can be predicted from known microstructural features, viz. bond connectivity, size, fracture surface energy and strength, remains open. Many fracture criteria exist. The most widely used are based on a postulated stress and/or energy extremal. Since force and energy share common transmission paths, their flow bottleneck may be the precursory failure mechanism to reconcile these optimality criteria in one unified framework. We explore this in the framework of network flow theory, using microstructural data from 3D discrete element models of concrete under uniaxial tension. We find the force and energy bottlenecks emerge in the same path and provide an early and accurate prediction of the ultimate macrocrack path $${\mathcal {C}}$$ C . Relative to all feasible crack paths, the Griffith’s fracture surface energy and the Francfort–Marigo energy functional are minimum in $${\mathcal {C}}$$ C ; likewise for the critical strain energy density if bonds are uniformly sized. Redundancies in transmission paths govern prefailure dynamics, and predispose $${\mathcal {C}}$$ C to cascading failure during which the concomitant energy release rate and normal (Rankine) stress become maximum along $${\mathcal {C}}$$ C .

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“…An imagedependent approach can produce a realistic model by scanning an actual sample. However, it is a time-consuming and computationally expensive method and is highly dependent on image resolution [26][27][28][29][30][31][32]. These specifications limit the shape variations and number of models, which can be possibly produced.…”

Section: Introductionmentioning

confidence: 99%