Lightweight foamed concrete for houses in Jordan

Allouzi, Rabab; Almasaeid, Hatem H.; Alkloub, Amer; Ayadi, Osama; Al-Ajarmeh, Ramia

doi:10.1016/j.cscm.2023.e01924

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…Zheng et al used decision tree, SVR and ANN to construct the performance prediction model of silica fume concrete, and they also used the bagging and boosting methods to assemble the above ML algorithms [19]. After reviewing the recent literature, it was found that the ANN-based modulus is the most wildly used machine learning algorithm for the performance prediction of concrete regarding recycled aggregate concrete [20,21], high-performance concrete [17,22,23], foamed concrete [24][25][26], metakaolin-based concrete materials [27], self-compacted concrete [28], rubberized concrete [29], concrete slabs [30] and other concrete accessories such as steel tubes [31,32], FRP bars [33][34][35][36][37], steel bars [38] and concrete blocks [39].…”

Section: Literature Reviewmentioning

confidence: 99%

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Yang,

Liu,

Zhang

et al. 2024

Buildings

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Machine learning (ML) algorithms have been widely used in big data prediction and analysis in terms of their excellent data regression ability. However, the prediction accuracy of different ML algorithms varies between different regression problems and data sets. In order to construct a prediction model with optimal accuracy for fly ash concrete (FAC), ML algorithms such as genetic programming (GP), support vector regression (SVR), random forest (RF), extremely gradient boost (XGBoost), backpropagation artificial neural network (BP-ANN) and adaptive network-based fuzzy inference system (ANFIS) were selected as regression and prediction algorithms in this study; the particle swarm optimization (PSO) algorithm was also used to optimize the structure and hyperparameters of each algorithm. The statistical results show that the performance of the assembled algorithms is better than that of an NN-based algorithm. In addition, PSO can effectively improve the prediction accuracy of the ML algorithms. The comprehensive performance of each model is analyzed using a Taylor diagram, and the PSO-XGBoost model has the best comprehensive performance, with R2 and MSE equal to 0.9072 and 11.4546, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Yang,

Liu,

Zhang

et al. 2024

Buildings

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“…Lightweight fillers, compared to traditional grouting materials, offer several benefits such as being lightweight, possessing high strength and good seismic performance, being environmentally friendly and conserving resources [ 25 , 26 , 27 ]. Foamed lightweight soil grouting material is widely used in the field of civil engineering due to its excellent performance, including its high strength, low thermal conductivity, and good workability [ 28 , 29 , 30 ]. In recent years, researchers have applied this material to the goaf treatment field, providing advantages over traditional methods such as backfilling with solid materials or filling with water.…”

Section: Introductionmentioning

confidence: 99%

Study on Preparation and Performance of Foamed Lightweight Soil Grouting Material for Goaf Treatment

Zhao¹,

Chen²,

Zhang

et al. 2023

Materials

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The harm goafs and other underground cavities cause to roads, which could lead to secondary geological hazards, has attracted increased attention. This study focuses on developing and evaluating the effectiveness of foamed lightweight soil grouting material for goaf treatment. The study examines the foam stability of different foaming agent dilution ratios by analyzing foam density, foaming ratio, settlement distance, and bleeding volume. The results show that there is no significant variation in foam settlement distance for different dilution ratios, and the difference in foaming ratio does not exceed 0.4 times. However, the bleeding volume is positively correlated with the dilution ratio of the foaming agent. At a dilution ratio of 60×, the bleeding volume is about 1.5 times greater than that at 40×, which reduces foam stability. Furthermore, an appropriate amount of sodium dodecyl benzene sulfonate improves both the foaming ability of the foaming agent and the stability of the foam. Additionally, this study investigates how the water–solid ratio affects the basic physical properties, water absorption, and stability of foamed lightweight soil. Foamed lightweight soil with target volumetric weights of 6.0 kN/m3 and 7.0 kN/m3 meet the flow value requirement of 170~190 mm when the water–solid ratio ranges are set at 1:1.6~1:1.9 and 1:1.9~1:2.0, respectively. With an increasing proportion of solids in the water–solid ratio, the unconfined compressive strength initially increases and then decreases after 7 and 28 days, reaching its maximum value when the water–solid ratio is between 1:1.7 and 1:1.8. The values of unconfined compressive strength at 28 days are approximately 1.5–2 times higher than those at 7 days. When the water ratio is excessively high, the water absorption rate of foamed lightweight soil increases, resulting in the formation of connected pores inside the material. Therefore, the water–solid ratio should not be set at 1:1.6. During the dry–wet cycle test, the unconfined compressive strength of foamed lightweight soil decreases, but the rate of strength loss is relatively low. The prepared foamed lightweight soil meets the durability requirements during dry–wet cycles. The outcomes of this study may aid the development of enhanced approaches for goaf treatment using foamed lightweight soil grout material.

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“…Some studies used industrial solid wastes circulating fluidized bed fly ash, calcium carbide slag, volcanic ash, metakaolin and flue gas desulfurized gypsum as the main raw materials to prepare eco-friendly geopolymer grouting materials (Zhou et al, 2021;Duan et al, 2023). Grouting materials have gained extensive usage in the domain of civil engineering owing to their exceptional attributes, encompassing elevated strength, diminished thermal conductivity, and commendable workability (Kadela et al, 2020;Song and Lange, 2021;Allouzi et al, 2023). Recently, scholars have initiated the application of the slip casting material in the realm of goaf treatment.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of geopolymer and clay-cement grouting pastes and goaf effect evaluation of grouting backfilling method

Qin,

Shi,

Qin

et al. 2023

Front. Mater.

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The problem of goaf treatment has become more and more prominent, posing a significant risk to the safety of transportation and causing environmental damage if it is not treated properly. This study aims to conduct a comparative analysis of various grouting pastes and evaluate their application in goaf treatment according to grouting backfilling. This research begins by discussing different grouting pastes’ properties, including clay-cement composite grouting material and geopolymer grouting material, which have excellent engineering performance, environmental friendliness, and are easy to operate in complex geological environments. Moreover, the factors affecting the performance of grouting pastes, such as water-solid ratio and curing time, are also examined. Based on detailed information about the boreholes provided by drilling television, a reasonable treatment plan is formulated for goaf treatment. Finally, this study evaluates the effectiveness of different grouting pastes in real-world goaf treatment projects. The study draws the following conclusions: a direct relationship exists among flowability, setting time as well as water-solid ratio. An inverse relationship exists between the compressive strength of grouting materials and the water-solid ratio. Drilling data reveals complex goaf structures with defects such as water leakage, collapse and cavity, indicating potential geological risks in shallow areas. A treatment plan is formulated based on the geological conditions of goafs by drilling television. The effectiveness of backfill grouting in goaf areas is inspected using ground-penetrating radar (GPR) technology, and results indicate that adjusting water-solid ratio of grouting material can improve treatment effects.

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Lightweight foamed concrete for houses in Jordan

Cited by 6 publications

References 20 publications

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Study on Preparation and Performance of Foamed Lightweight Soil Grouting Material for Goaf Treatment

Performance comparison of geopolymer and clay-cement grouting pastes and goaf effect evaluation of grouting backfilling method

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