Machine learning approaches for real-time prediction of compressive …
Self-compacting concrete (SCC) has transformed civil engineering by efficiently filling formwork without mechanical consolidation, enhancing construction efficiency, and durability, and reducing labor needs. Accurate prediction of compressive strength (CS), a crucial mechanical property, is essential for optimal results. The …
Enhancing Compressive strength prediction of Roller Compacted concrete
A critical aspect of cement hydration is the formation of calcium-silicate-hydrate (C-S-H) gel, which contributes significantly to the development of concrete strength [11]. Also, the denser microstructure resulting from decreased porosity improves the durability and load-bearing capacity of the concrete.
Modeling the compressive strength of binary and ternary
In the present study, the compressive strength of binary and ternary blended high-performance concrete mixtures was modeled using different machine learning tools, such as artificial neural network (ANN), gradient tree boosting (GTB), and multivariate adaptive regression splines (MARS). The compressive strength of binary …
Concrete Compression Testing Machine
The manual concrete compression testing machine is composed of a machine body, oil pump, oil delivery valve, oil return valve, and force measuring instrument. 1. Machine Body The machine body is connected by the upper crossbeam, base (with oil cylinder), and four columns. The upper crossbeam is equipped with a worm gearbox, motor, nut, worm …
Strength of Concrete (PSI) | ProMatcher
The strength of concrete is measure in terms of pounds per square inch (or PSI). PSI is a measure of compressive strength, or the ability of the material to carry loads and handle compression. 1.) 2500-3000 PSI. Most concrete has a PSI rating of 2500 to 3000. This type of concrete can be used for sidewalks and residential driveways.
Prediction of concrete compressive strength employing …
The study to predict concrete compressive strength using fifteen machine learning models is based on a dataset consisting of material quantities in kg per meter …
Machine Learning-Based Method for Predicting Compressive …
To fill the research gap, this paper uses the GBRT algorithm, an ensemble learning method based on lifting, to predict the compressive strength of concrete materials. 1030 sets of concrete compressive test data were collected while …
Compressive Strength Testing Equipment
The range we offer includes Manually (Hand) Operated, Semi Automatic Compression Testing Equipment, Electrically Cum Manually Operated equipment and more. These strength testing equipment are extremely handy and are easy to use for testing cement, concrete and mortar cubes.
Modelling the compressive strength of geopolymer
In the past five years, as summarized in Table 1, several research efforts have aimed to model the CS of geopolymer mortars and concrete using ML techniques.The best-developed ML models are bolded in this table. Researchers have primarily focused on investigating the utilization of fly ash and slag cement in geopolymers due to their …
What Concrete Strength Do I Need? | Concrete Strength
365 Concrete are specialists in both Domestic and Commercial ready mix concrete with over 40 years of experience. We can supply concrete same day within 2 hours and you only pay for what you use. Find out which concrete strength mix you need for your project with the 365 Concrete Strength Guide. Quick and easy to follow concrete strength guide.
Predicting compressive strength of RCFST columns …
Accurate bearing capacity assessment under load conditions is essential for the design of concrete- lled steel tube (CFST) columns. This paper presents an optimization-based machine learning method
Investigation on compressive strength of coral aggregate concrete
The curing process and compressive strength testing procedure for CAC specimens were conducted in accordance with the relevant provisions specified in the standard [47]. Since the dimensions of the specimens are non-standard, the calculated compressive strength values should be multiplied by a dimension conversion factor of …
Study on predicting compressive strength of concrete using …
The current study uses gradient boosting (GBM) and light gradient boosting (LGBM) supervised machine learning (ML) approaches in the Python platform …
Comparative Study of Supervised Machine Learning Algorithms for
4.3. Sensitivity Analysis of the Compressive Strength of Concrete at High Temperatures. Sensitivity analysis was conducted in order to check the parameters that have a significant effect on the prediction of the compressive strength of concrete at high temperatures, as shown in Figure 5. Every variable used to run the model plays its role in ...
Local compression capacity of ultra-high performance concrete …
The relevant parameters were as follows: the dilation angle (Ψ), flow potential eccentricity (e), the ratio of the biaxial compression strength to the uniaxial compression strength (f b0 /f c0), the second stress invariant ratio of the tensile meridian to the compressive meridian (K c) and the viscosity coefficient (μ) were set as 35°, 0.1 ...
What is Compression Testing Machine (CTM)? And it's New …
The compressive strength of concrete is determined by testing concrete cubes or cylinders using the CTM machine. The CTM machine can also be used to test the compressive strength of other materials such as bricks, rocks, and metals. ... Load resolution ranges from 0.002kN to 0.2kN, varying with machine capacity. Available …
Predicting Confined Compressive Strength of Concrete Using Machine
The main objective of this investigation is to develop a machine learning model, namely random forest model (RF), for estimating the confined compressive strength of concrete. In this regard, a total of 144 experimental results on the confined compressive strength of concrete were gathered from the published document sand …
A systematic review and assessment of concrete strength …
Abstract. In Civil Engineering field, the compressive strength of concrete is a key parameter to design concrete structures and evaluate existing structures. …
Experimental and machine learning based study of compressive strength …
In this study, the aim is to investigate and predict the compressive strength of geopolymer concrete (GPC). The effects of curing method, curing time and concrete age on the compressive strength of GPC were evaluated experimentally. Four curing methods, namely room temperature (25°C), mobile dryer (50°C), heating cabinet type 1 …
Full article: Prediction of concrete compressive strength …
Shishegaran et al. (Citation 2021) proposed a novel hybrid model based on High Correlated Variables Creator Machine (HCVCM) for predicting the compressive …
Compressive Strength Prediction of Lightweight …
This article discusses machine learning algorithms, such as Gaussian Progress Regression (GPR), Support Vector Machine Regression (SVMR), Ensemble Learning (EL), and optimized GPR, …
Compressive Strength Test of Concrete: Cube Test, …
Compressive Strength Test of Concrete. The compressive strength test of concrete is an essential procedure that helps engineers and construction professionals evaluate the strength and durability of concrete structures. The test is commonly done on concrete cubes, using a compressive testing machine to determine the maximum compression …
Employing the optimization algorithms with machine …
Ultra-high-performance concrete (UHPC), with the highest resistance capacity against axial loads, is composed of various ingredients compared to other typical concretes, including fly ash and silica fume; eco-friendly materials also have an economical price. Such high-resistant constructional materials are seen as a suitable aggregate to …
Compressive Strength of Concrete
The compressive strength of concrete is given in terms of the characteristic compressive strength of 150 mm size cubes tested at 28 days (f ck )- as per Indian Standards (ACI standards use cylinder of diameter 150 mm and height 300 mm). The characteristic strength is defined as the strength of the concrete below which not more …
Evaluating machine learning algorithms for predicting compressive …
The prediction of compressive strength in concrete holds essential significance within the construction industry, maintaining the structural reliability of important infrastructure like buildings. In the present study, a thorough investigation has been conducted to evaluate the effectiveness of using various fly ash and admixtures as input …
Compressive Strength Test Of Concrete
The cube will be preserved and curated well for almost 28 days to be tested by the Compression Testing Machine. Compressive Strength of Concrete Test. Apparatus Required. Steel Mould (150mm x 150mm x 150mm) Tamping rod ... But it requires a higher capacity CTM machine to calculate the values such as 300 tonnes, which does not …
What Equipment Is Used to Determine the Crushing Strength of Concrete
Lexan safety doors for test viewing: ASTM C39 recommends testing machines be equipped with protective guards because high-strength concrete cylinders rupture more intensely than normal strength cylinders. Ultra-rigid, welded steel frames that meet or exceed industry requirements. Forney compression machines provide …
Predicting Confined Compressive Strength of Concrete …
The results shown that the two parameters, comprising compressive strength of concrete core and diameter and thickness of tube ratio were found to be …
Predict the compressive strength of ultra high-performance concrete …
Ultra-high performance concrete (UHPC) benefits the construction industry due to its improved flexibility, high workability, durability, and performance compared to normal concrete. Some investigators have conducted observed papers on the UHPC's mechanical properties for establishing a reliable analytical approach for calculating the …
Compressive strength prediction of high-strength …
certain value of compressive strength is achieved, the impact of further addition of cement would be very little [22]. 3.2 Waert The quantity of water in concrete also has a …