Assessment of high-temperature damaged concrete using non-destructive tests and artificial neural network modelling

Almasaeid, Hatem H.; Suleiman, Akram; Alawneh, Rami

doi:10.1016/j.cscm.2022.e01080

Cited by 13 publications

(7 citation statements)

References 34 publications

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“…The results showed very good accuracy. It is clear that the prediction of concrete properties can be efficiently performed using machine learning technology [ 40 , 41 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network

et al. 2022

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In the 21st century, numerous numerical calculation techniques have been discovered and used in several fields of science and technology. The purpose of this study was to use an artificial neural network (ANN) to forecast the compressive strength of waste-based concretes. The specimens studied include different kinds of mineral additions: metakaolin, silica fume, fly ash, limestone filler, marble waste, recycled aggregates, and ground granulated blast furnace slag. This method is based on the experimental results available for 1303 different mixtures gathered from 22 bibliographic sources for the ANN learning process. Based on a multilayer feedforward neural network model, the data were arranged and prepared to train and test the model. The model consists of 18 inputs following the type of cement, water content, water to binder ratio, replacement ratio, the quantity of superplasticizer, etc. The ANN model was built and applied with MATLAB software using the neural network module. According to the results forecast by the proposed neural network model, the ANN shows a strong capacity for predicting the compressive strength of concrete and is particularly precise with satisfactory accuracy (R² = 0.9888, MAPE = 2.87%).

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“…The results showed very good accuracy. It is clear that the prediction of concrete properties can be efficiently performed using machine learning technology [ 40 , 41 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network

et al. 2022

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“…However, this is not confirmed by the results of the volumetric density alone of the concretes tested. It is also worth noting that the decreases in ultrasonic wave transition velocity for the HPCs and HPFRCs analysed are smaller than those registered for normal concretes [61].…”

Section: Discussionmentioning

confidence: 69%

Change of the Structural Properties of High-Performance Concretes Subjected to Thermal Effects

et al. 2022

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The paper refers to studies of the structure of high-performance concrete with polypropylene fibre at different dosages. The authors see a research gap in the study of the effect of adding polypropylene fibre on the parameters of concrete exposed to high temperatures. The study takes into account the thermal effect—groups of samples were heated to 200 °C, 400 °C and 600 °C. The authors carried out basic tests to describe the changes in density, ultrasonic tests, uniaxial compression strength tests and tensile tests by splitting. The positive effect of polypropylene fibres is mainly observed between 20 °C and 200 °C. The melting of polypropylene fibres causes a delay in the development of micro-cracks in the structure of these concretes compared to HPC. Adding polypropylene fibres to the mixtures also increased the speed of ultrasonic wave propagation in the medium. The research was deepened with tomographic imaging. A description of the splitting surface was carried out. The results of tensile by splitting tests clearly show an increase in the relative failure area for unheated concretes in proportion to the number of fibres used. Changes in splitting surfaces under the influence of temperature are graphically illustrated. Furthermore, differences in the samples under the influence of heating at high temperatures are presented. Finally, the porosity development of all sample groups before and after heating at all temperatures is described.

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“…Normal concrete as a building material has appreciable heat resistance with a very low value of thermal conductivity [ 54 ]. However, at elevated temperatures greater than 300 °C, the strength properties of concrete deteriorate, and at 600 °C, concrete loses its structural performance [ 55 , 56 , 57 ]. The deterioration mechanism for concrete exposed to elevated temperature results from a volume change with aggregate expansion (due to heat) versus cement paste shrinkage (due to water evaporation) [ 58 ].…”

Section: Improvement In the Heat Resistance Of Concrete With Nanomate...mentioning

confidence: 99%

An Elucidative Review of the Nanomaterial Effect on the Durability and Calcium-Silicate-Hydrate (C-S-H) Gel Development of Concrete

Al-saffar,

Wong,

Paul

2023

Gels

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Concrete as a building material is susceptible to degradation by environmental threats such as thermal diffusion, acid and sulphate infiltration, and chloride penetration. Hence, the inclusion of nanomaterials in concrete has a positive effect in terms of promoting its mechanical strength and durability performance, as well as resulting in energy savings due to reduced cement consumption in concrete production. This review article discussed the novel advances in research regarding C-S-H gel promotion and concrete durability improvement using nanomaterials. Basically, this review deals with topics relevant to the influence of nanomaterials on concrete’s resistance to heat, acid, sulphate, chlorides, and wear deterioration, as well as the impact on concrete microstructure and chemical bonding. The significance of this review is a critical discussion on the cementation mechanism of nanoparticles in enhancing durability properties owing to their nanofiller effect, pozzolanic reactivity, and nucleation effect. The utilization of nanoparticles enhanced the hydrolysis of cement, leading to a rise in the production of C-S-H gel. Consequently, this improvement in concrete microstructure led to a reduction in the number of capillary pores and pore connectivity, thereby improving the concrete’s water resistance. Microstructural and chemical evidence obtained using SEM and XRD indicated that nanomaterials facilitated the formation of cement gel either by reacting pozzolanically with portlandite to generate more C-S-H gel or by functioning as nucleation sites. Due to an increased rate of C-S-H gel formation, concrete enhanced with nanoparticles exhibited greater durability against heat damage, external attack by acids and sulphates, chloride diffusion, and surface abrasion. The durability improvement following nanomaterial incorporation into concrete can be summarised as enhanced residual mechanical strength, reduced concrete mass loss, reduced diffusion coefficients for thermal and chloride, improved performance against sulphates and acid attack, and increased surface resistance to abrasion.

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Assessment of high-temperature damaged concrete using non-destructive tests and artificial neural network modelling

Cited by 13 publications

References 34 publications

Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network

Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network

Change of the Structural Properties of High-Performance Concretes Subjected to Thermal Effects

An Elucidative Review of the Nanomaterial Effect on the Durability and Calcium-Silicate-Hydrate (C-S-H) Gel Development of Concrete

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