Simulation of V-tunnel test for fresh concrete on the basis of lattice Boltzmann method

Mu, Jinlei; Li, Yue; Jin, Caiyun; Liu, Yunze; Li, Hongwen; Liu, Jianglin

doi:10.1016/j.cemconcomp.2022.104728

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…The flow time reported in the present research paper compares well with the finding of Lashkarbolouk et al [5], which studied the flowability of concrete by using the smoothed particle hydrodynamics that incorporated the effect of dynamic viscosity on the overall flow behavior. Also, Mu et al [15], who applied the lattice Boltzmann method, suggested that the rheological parameters, which included the flow friction and its share component, prolonged the discharge time, and this again agrees with the reported results of this research paper.…”

Section: Discussionsupporting

confidence: 91%

Flow simulation of self-consolidating concrete through V-funnel for sustainable buildings

Onyelowe

Kontoni

Ebid

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Self-consolidating concrete (SCC) is one of the trending low-yield stress material innovations of the new age building industry due to its ability to flow through heavily reinforced structural members without segregation and without losing its moderate viscosity. In this research paper, a V-funnel simulation has been developed for the flow time to establish its validity with allowable design conditions according to the European standard. The Bernoulli’s equation and the continuity flow state conditions were adopted for the V-funnel of 515 mm upper width, 75 mm thick, and vertical dimensions (depth) of 450 mm and 150 mm for the V-section and funnel duct (75 mm × 65 mm) respectively. Concrete shear stress with the funnel wall was considered as a factor of concrete unit weight (ρ) and frictional force under downward velocity with respect to variational height (dh). The result of the V-funnel simulation for the flow time shows that the kinematic viscosity (η) of the concrete is bound within the limits of 0 and 1/64. This implies that ηmin ≈ 0 (no friction with walls), and the minimum flow time (Tmin) becomes 8.7 sec while minimum shear stress is zero (τmin ≈ 0 N/m2). However, for ηmax ≈ 1/64 (maximum friction with walls of τmax τ ρ/64 N/m2 is attained) and Tmax becomes 18.9 sec. These values fall within the flow time after 10 seconds of mixing, ranging between 8 and 10 seconds, and the flow time after 5 minutes of mixing of 11 to 25 seconds, according to the European Guidelines for self-consolidating concrete. These results for the flow simulation of the concrete placement during construction, are also consistent with the United Nations sustainable development goals (SDGs) for technological innovation, infrastructure, and sustainable cities.

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Section: Discussionsupporting

confidence: 91%

Flow simulation of self-consolidating concrete through V-funnel for sustainable buildings

Onyelowe

Kontoni

Ebid

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…In the field of physical characterisation, Mu [16] has analysed particle dynamics within a V-shaped funnel using funnel tests and investigated the shear characteristics of In the field of physical characterisation, Mu [16] has analysed particle dynamics within a V-shaped funnel using funnel tests and investigated the shear characteristics of concrete particles. This method effectively simulates and examines the friction and contact properties of particle units.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates

Liu,

Bai

2024

Materials

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This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce an innovative approach for modelling irregularly shaped pebbles, integrating their physical properties into a comprehensive discrete element model to enhance the accuracy and applicability of simulations involving such pebbles. Meticulous validation and parameter calibration (friction coefficient: 0.37, maximum RMSE: 3.43) confirm the accuracy of the simulations and facilitate an in-depth examination of the mechanical interactions between aggregate particles at macroscopic and microscopic scales. The findings reveal a significant relationship between the particle size and load-bearing capacity of aggregates. Smaller pebbles, which are more flexible under pressure, can be packed more densely, thereby improving the distribution of vertical forces and increasing the concentration of local stress. This enhancement substantially increases the overall load-bearing capacity of aggregates. These discoveries hold significant implications for engineering practices, particularly in the optimisation of safety for truck escape ramps and in identifying the ideal sizes of pebbles with irregular shapes.

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Non-contact viscosity detection for cement slurry using laser scanning of wave motion under rod impact

CUI,

CAO,

CAO

2024

Construction and Building Materials

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Simulation of V-tunnel test for fresh concrete on the basis of lattice Boltzmann method

Cited by 4 publications

References 29 publications

Flow simulation of self-consolidating concrete through V-funnel for sustainable buildings

Flow simulation of self-consolidating concrete through V-funnel for sustainable buildings

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates

Non-contact viscosity detection for cement slurry using laser scanning of wave motion under rod impact

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