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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Amato, Giuseppina
Queen's University Belfast
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Exploring the influence of strain rate on BTRM tensile behaviour
- 2023Effect of nanoclay on the printability of extrusion-based 3D printable mortarcitations
- 2023Optimisation of mix proportion of 3D printable mortar based on rheological properties and material strength using factorial design of experimentcitations
- 2022Investigation of fresh properties of 3D concrete printing containing nanoclay in forms of suspension and powder
- 2022Influence of nanoclay on the fresh and rheological behaviour of 3D printing mortarcitations
- 2022Effect of nanoclay on extrudability, printability and mechanical performance of extrusion-based 3D printing mortar
- 2021Thermo-mechanical characterisation of NiTi-based shape memory alloy wires for civil engineering applicationscitations
- 2020Mechanical behaviour of NiTiNb Shape Memory Alloy Wires– Strain Localisation and Effect of Strain Ratecitations
- 2018Testing Of Reinforced Concrete External Beam-column Joints Retrofitted With Shape Memory Alloys
- 2016Strength and ductility of RC jacketed columns: a simplified analytical methodcitations
- 2016Heat Activated Prestressing of Shape Memory Alloys for Active Confinement of Concrete Sections
- 2015Potential applications of shape memory alloys in seismic retrofitting of exterior RC beam-column joints
- 2015Shape Memory Alloy Features for Seismic Retrofitting of External RC Beam-Column Joint
- 2013Multibody modelling of gabion beams for impact applicationscitations
Places of action
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article
Optimisation of mix proportion of 3D printable mortar based on rheological properties and material strength using factorial design of experiment
Abstract
In the production of 3D printable mortar (3DPM), numerous efforts have been made globally to effectively utilise various cementitious materials, admixtures, and fibres. The determination of rheological and material strength properties is crucial for successful 3D concrete printing because the materials used in 3DPM must possess the unique characteristic of making mortar flowable while being strong enough to support the weight of subsequent layers in both fresh and hardened states. The complexity of the required characteristics makes it challenging to develop an optimised mix composition that satisfies both the rheological and material strength requirements, given the wide range of available admixtures, supplementary cementitious materials, and fibres. Fly ash, basalt fibre and superplasticiser when blended with cement can help to improve the overall performance of 3DPM. The objective of this research is to optimise the rheological properties and material strength of 3D printable mortars (3DPM) containing cement, fly ash, basalt fibre, and superplasticiser. This study aims to produce 3DPM with an optimised mix composition to meet the requirements of both rheological and material strength characteristics using the factorial design approach and desirability function. Different dosages of cement, fly ash, basalt fibre, and superplasticiser are chosen as the primary design parameters to develop statistical models for the responses of rheological and material strength properties at 7 and 28 days. The results expressed in terms of the measured properties are valid for mortars made with cement ranging from 550 to 650 kg/m3, fly ash from 5% to 20% (of cement), superplasticiser from 2 to 4 kg/m3, and basalt fibre from 1 to 3 kg/m3. The rheological properties are evaluated using slump flow, cone penetrometer, and cylindrical slump tests, while the mechanical strength is evaluated using a three-point bending test and compressive test. A full factorial design experiment (FoE) is used to determine the significant parameters effecting the measured properties. Prediction models are developed to express the measured properties in terms of the primary parameters. The influence of cement, fly ash, basalt fibre, and superplasticiser is analysed using polynomial regression to determine the main effects and interactions of these primary parameters on the measured properties. The results show that the regression models established by the factorial design approach are effective and can accurately predict the performance of 3DPM. Cement, fly ash, and superplasticiser dosages have significant effects on the rheological and mechanical properties of mortar, while basalt fibre is able to influence the static yield stress and flexural strength of 3DPM. The utilisation of regression models and isoresponse curves allows for the identification of significant trends and provides valuable insight into the behaviour of the material, while desirability function is useful to optimise overall performance of mix proportions to meet the desired performance objective at fresh and hardened states.