Mechanical and Structural Properties of a Lightweight Concrete with Different Types of Recycling Coarse Aggregate

Jomaa’h, Muyasser M.; Kamil, Baraa Thaar; Baghabra, Omer S.

doi:10.25130/tjes.26.1.05

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…is is because shear failure normally occurs as a combined action of shearing forces and a bending moment; shear failure is mostly characterized by a lack of ductility and minor deflections and occurs suddenly without any notification [2,3]. Shear failure is a complex process that involves several parameters whose impact makes the mechanism of shear failure a debatable matter.…”

Section: Introductionmentioning

confidence: 99%

Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength

Mohammed

Ismail

2021

Complexity

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The shear and bending are the actions that are experienced in the beam owing to the fact that the beam is a flexural member due to the load in the transverse direction to their longitudinal axis. The shear strength (Vs) computation of reinforced concrete (RC) beams has been a major topic in the field of structural engineering. There have been several methodologies introduced for the Vs prediction; however, the modeling accuracy is relatively low owing to the complex characteristic of the resistance mechanism involving dowel effect of longitudinal reinforcement, concrete in the compression zone, contribution of the stirrups if existed, and the aggregate interlock. Hence, the current research proposed a new soft computing model called random forest (RF) to predict Vs. Experimental datasets were collected from the open-source literature including the related geometric properties and concrete characteristics of beam specimens. Nine input combinations were constructed based on the statistical correlation to be supplied for the proposed predictive model. The prediction accuracy of the RF model was validated against the Support Vector Machine (SVM), and several other empirical formulations have been adopted in the literature. The proposed RF model revealed better prediction accuracy in addition the model structure emphasis in the incorporation of seven predictors by excluding (beam flange thickness and coefficient). In the quantitative term, the minimal root mean square error value was attained (RMSE = 89.68 kN).

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Section: Introductionmentioning

confidence: 99%

Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength

Mohammed

Ismail

2021

Complexity

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“…The best addition rate was 2%, as the pressure increased and the porosity stable. Table (6) and Figures (11 & 12) illustrate the relationship of pressure and porosity with sulfates. It turned out that the best addition is 2%, where the pressure becomes 44 kg/ cm² and the porosity 35% and as shown in Table (6).…”

Section: Results Of Addition Of So4 Sulfate To Thermostonementioning

confidence: 99%

“…Therefore, the thermal insulation properties of light concrete depend on its volumetric weight, and it increases with increasing density and from (6%-20). The value of the modulus changes within the same density and degree of the thermostone depending on the size of the spaces, the way they are arranged and the moisture of the material [6,7].…”

Section: Heat and Sound Insulationmentioning

confidence: 99%

Improving the Thermostone Properties by Treating with Some Additives

Abdullah¹,

Abdullah²,

Awad³

et al. 2023

IJOIR

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Thermostone industry is constantly evolving After its emergence as a distinctive building material, especially in terms of thermal and sound insulation, lightness and the preference for its use in construction, due to the speed of implementation and low costs, its use as reinforced panels was developed and was not limited to block walls only, this material began to appear in some buildings as a material to fill concrete structures and a material for creating partitions, and then it was adopted as a basic building material and it will have an effective role when integrating the industry of open system building systems that can be developed. This research examines ways to enhance specifications and create a thermostone building system that, in terms of function, performance, and construction techniques, both meets the needs of regional architecture and the technical development process as a whole. The research's goal is to increase the requirements of thermostone by introducing additives like polypropylene at a rate ranging from 1 to 5%. The addition of sodium sulfate (Na2SO4) or organic fumigants (phosphine and sulfur) as well as three percentages, where 20% produced the best results. The substitution of a portion of one of its constituent materials with another component, as in the replacement of 2% of sand with fly ash powder after re-grinding it to a fineness of 75-85 micrometers to suit the mixing process and the use of white sand with a purity of up to 95%. The best results were obtained when replacing a powdered glass (the best replacement percentage is 10%). the best formation percentage is 0.12%, and the research regulated the ratios of the original thermostone ingredients, such as aluminum, with decrease and increase to achieve the best outcome.

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“…The average results from three lightweight Geo-Polymer concrete specimens revealed variations in density and water absorption under high temperature conditions. The elevated temperatures induce evaporation, fractures, and promote fungal growth, thereby accelerating water penetration into the concrete [119,120].…”

Section: Water Absorptionmentioning

confidence: 99%

Elevated Temperature Effects on Geo-Polymer Concrete: An Experimental and Numerical-Review Study

Turkey,

Beddu,

Al-Hubboubi

et al. 2023

ACSM

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The manufacture of cement plays a substantial role in the emission of carbon dioxide (CO2) into the atmosphere, hence exacerbating the adverse impacts of global warming. Consequently, the emergence of Geo-Polymer concrete has presented itself as a potentially feasible substitute owing to its commendable environmental sustainability. This manuscript provides a comprehensive analysis of prominent studies investigating the effects of increased temperatures and fire exposure on concrete across its entire operating duration. This study examines the significant impacts on the fundamental physical and mechanical characteristics of concrete, as revealed by laboratory experiments. Furthermore, this review comprehensively examines previous research endeavors that have used machine learning methodologies to predict tangible actions, aiming to optimize resource allocation, time efficiency, and cost-effectiveness in laboratory inquiries. Geo-Polymer concretes have exhibited remarkable resistance to elevated temperatures and severe fires, as evidenced by laboratory and field assessments of cracking, spalling, and strength degradation. Prior studies have demonstrated that both the aggregate type and temperature have a substantial impact on the degradation of compressive strength. Moreover, previous research has indicated that Geo-Polymeric concrete, which is comprised of fly ash, exhibits superior heat resistance compared to conventional concrete using Portland cement, withstanding temperatures of up to 400 degrees Celsius. This research also highlights the widespread adoption of the Artificial Neural Network (ANN) technique in forecasting the compressive strength of conventional concrete. Conversely, alternative approaches such as the Genetic Weighted Pyramid Operation Tree (GWPOT) are preferred for high-performance concrete. The primary objective of this extensive investigation is to establish a fundamental basis for future studies on sustainable alternatives to concrete and approaches for predictive modeling.

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Mechanical and Structural Properties of a Lightweight Concrete with Different Types of Recycling Coarse Aggregate

Cited by 15 publications

References 2 publications

Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength

Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength

Improving the Thermostone Properties by Treating with Some Additives

Elevated Temperature Effects on Geo-Polymer Concrete: An Experimental and Numerical-Review Study

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