Fabric-reinforced cementitious matrix Strength 1. Introduction In existing reinforced concrete (RC) framed buildings, the external confinement of deficient columns with Fiber Reinforced Polymers (FRPs) represents today a competitive alternative to the use of traditional techniques such as steel or concrete...
RCA recycled concrete aggregate HESC high early strength Portland cement S sand B basaltic gravel W distilled water V vinasse COD chemical oxygen demand 1. Introduction The construction industry uses non-renewable raw materials and consumes huge amounts of energy in the extraction of inputs for pro...
With recent technological advances, adding nanomaterials as a reinforcement material in concrete has gained immense attention. This review paper aims to report advances in the form of a one-stop shop...
There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of concrete are based on summarizing experimental data of several dif...
Concrete mix proportions proposed by empirical equations do not account for slight modifications. Mix design becomes primitive in case of introduction of new parameters as research progresses such as...doi:10.1007/978-981-10-6872-0_40Sarthak Jain...
In this study, four Artificial intelligence (AI) - based machine learning models were developed to estimate the Residual compressive strength (RCS) value of concrete supported with nano additives of Nanocarbon tubes (NCTs) and Nano alumina (NAl), after e
摘要: computing methods were used in this research to design and model the compressive strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based response surface...关键词: Artificial neural networks Compressive strength High-performance concrete Response surface method ...
Wheat straw ash;tensile strength;scanning electron microscope;compressive strength;concrete 1 Introduction As a large agricultural producer, China produces a lot of crop waste; for example, straw is a byproduct of agricultural production. With the enhancement of people’s awareness of environmental prot...
In this paper, a method to predict 28-day compressive strength of concrete by using multi-layer feed-forward neural networks (MFNNs) was proposed based on the inadequacy of present methods dealing with multiple variable and nonlinear problems. A MFNN model was built to implement the complex non...
There is a complex high-dimensional nonlinear mapping relationship between the compressive strength of High-Performance Concrete (HPC) and its components, which has great influence on the accurate prediction of compressive strength. In this paper, an eff