Concrete Behaviour with Volcanic Tuff Inclusion

Edris, Walid Fouad; Abdelkader, Safwat Mahmoud; Salama, Ahmed; Sayed, Abd Al-Kader A. Al

doi:10.13189/cea.2021.090516

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…The compressive strength of the material was found to decrease with the increase in replacement ratio at seven days of age, with the percentage decrease observed being 11, 20, 45.8 and 53.6, respectively for replacement ratios of 5, 10, 15 and 20%. At 28 days of age, the compressive strength was observed to drop by 4.1, 9.4, 38.22 and 47.8, respectively [9].…”

Section: Introductionmentioning

confidence: 96%

Improving Lightweight Structural Tuff Concrete Composition Using Three-Factor Experimental Planning

Khamza,

Zhuginissov,

Kuldeyev

et al. 2024

Preprint

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Research into lightweight structural concrete using volcanic tuff is of great importance to the construction industry. These materials have excellent thermal insulation properties, which helps improve the energy efficiency of buildings. A three-factor experimental design was used to build the statistical model. The test methods used were methods for determining the crushability of volcanic tuff, determining the average density, compressive strength and thermal conductivity of lightweight structural concrete. The influence of basalt fiber on the properties of lightweight structural concrete has been determined. The optimal compositions of lightweight structural concrete using tuff have been selected. The compressive strength of lightweight structural concrete reached 32.0 MPa. The average density range is 1754.6-2114.0 kg/m3. Good thermal conductivity values were obtained in the range of 0.653-0.818 W/m·K. The article obtained the optimal compositions of lightweight structural concrete using volcanic tuff as a filler.

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Section: Introductionmentioning

confidence: 96%

Improving Lightweight Structural Tuff Concrete Composition Using Three-Factor Experimental Planning

Khamza,

Zhuginissov,

Kuldeyev

et al. 2024

Preprint

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“…To reduce carbon emissions in construction projects, it is imperative to minimize transportation distances and, more importantly, reduce the use of cement by incorporating common mineral admixtures such as fly ash and silica fume into concrete to achieve the goal of reducing cement consumption. However, with the widespread use of fly ash, the global community is facing a shortage of this resource [2,3]. Additionally, in high-altitude regions such as La Concordance in Peru, Karaoke in India, and Tibet in China, the transportation costs of common mineral admixtures like fly ash or silica fume are considerably high.…”

Section: Introductionmentioning

confidence: 99%

Replacing Fly Ash or Silica Fume with Tuff Powder for Concrete Engineering in Plateau Areas: Hydration Mechanism and Feasibility Study

Li,

et al. 2024

Buildings

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Abundant tuff mineral resources offer a promising solution to the shortage of fly ash (FA) and silica fume (SF) resources as emerging supplementary cementitious materials. However, a lack of clarity on its hydration mechanism has hindered its practical engineering application. In this study, high SiO2-content tuff powder (TP) was examined to assess the mechanical and workability performance of mortar specimens with varying particle sizes of the TP as complete replacements for FA or SF. Microscopic analysis techniques, including X-ray diffraction (XRD), differential thermal analysis (DTG), and energy-dispersive X-ray spectroscopy (EDS), were employed to elucidate the hydration mechanism of the TP and its feasibility as a substitute for SF or FA. Results indicated that TP primarily functions as nuclei and filler, promoting cement hydration, with smaller particle sizes amplifying the hydration ability and increasing Ca(OH)2 and C-S-H gel content. The specimens with TP (median particle size 7.58 μm) demonstrated 9.2% and 29.9% higher flexural and compressive strengths at 28 days, respectively, compared to the FA specimens of equal mass. However, fluidity decreased by 23.1% accordingly. Due to TP’s smaller specific surface area compared to SF, the TP specimens exhibited higher fluidity but with decreased strength relative to the SF specimens. Overall, TP shows potential as a replacement for FA with additional measures to ensure workability.

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“…Tuff stones are volcanic sedimentary rocks formed from consolidated volcanic ash; they possess unique geological properties that make them characterized by their porous structure [8]. Tuff lightweight aggregate has been successfully used for the production of masonry concrete [9], insulating purposes [2], structural elements [10], and cement replacement material [11]. The production of structural lightweight concrete using Tuff aggregate requires a good mix design that guarantees highquality paste and good aggregate proportioning.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Tuff Stones Content in Lightweight Concrete Using Artificial Neural Networks

Yasin,

Awwad,

Malkawi

et al. 2023

Civ Eng J

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Tuff stones are volcanic sedimentary rocks formed by the consolidation of volcanic ash. They possess unique geological properties that make them attractive for a variety of construction and architectural applications. Considerable amounts and various types of Tuff stones exist in the eastern part of Jordan. However, the use of Tuff stones often requires experimental investigations that can significantly impact the accuracy of their physical and mechanical characteristics. To ensure consistent and predictable properties in their mix design, it is essential to minimize the effects of these experimental procedures. Artificial neural networks (ANNs) have emerged as a promising tool to address such challenges, leveraging their ability to analyze complex data and optimize concrete mix design. In this research, ANNs have been used to predict the optimum content of Tuff fine aggregate to produce structural lightweight concrete with a wide range (20 to 50 MPa) of compressive strength. Three different types of Tuff aggregates, namely gray, brown, and yellow Tuff, were experimentally investigated. A set of 68 mixes was produced by varying the fine-tuff aggregate content from 0 to 50%. Concrete cubes were cast and tested for their compressive strength. These samples were then used to form the input dataset and targets for ANN. ANN was created by incorporating the recent advancements in deep learning algorithms, and then it was trained, validated using data collected from the literature, and tested. Both experimental and ANN results showed that the optimum content of the various types of used Tuff fine aggregate ranges between 20 to 25%. The results revealed that there is a clear agreement between the predicted values using ANN and the experimental ones. The use of ANNs may help to cut costs, save time, and expand the applications of Tuff aggregate in lightweight concrete production. Doi: 10.28991/CEJ-2023-09-11-013 Full Text: PDF

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Concrete Behaviour with Volcanic Tuff Inclusion

Cited by 10 publications

References 5 publications

Improving Lightweight Structural Tuff Concrete Composition Using Three-Factor Experimental Planning

Improving Lightweight Structural Tuff Concrete Composition Using Three-Factor Experimental Planning

Replacing Fly Ash or Silica Fume with Tuff Powder for Concrete Engineering in Plateau Areas: Hydration Mechanism and Feasibility Study

Optimization of Tuff Stones Content in Lightweight Concrete Using Artificial Neural Networks

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