Compressive Strength Machines Concretize
Compression Testing Machine
Find here Compression Testing Machine, Compressive Strength Testing Machine manufacturers, suppliers & exporters in India. Get contact details & address of companies manufacturing and supplying Compression Testing Machine, …
Prediction on compressive strength of recycled aggregate …
To obtain a reliable prediction result of the compressive strength of RASCC, machine learning methods, including artificial neural network (ANN), random tree (RT), bagging, and random forest (RF), are utilized to predict the compressive strength of RASCC in this study. To build predictive models, 18 features and 289 data samples were collected ...
On the Use of Machine Learning Models for …
Compressive strength is the most significant metric to evaluate the mechanical properties of concrete. Machine Learning (ML) methods have shown promising results for predicting compressive strength of concrete. However, at …
Concrete Compressive Strength Testing Machine
These concrete testing machines measure the compressive strength of hardened cylindrical concrete specimens to determine if the concrete used in the construction project meets the …
Non-Tuned Machine Learning Approach for Predicting the Compressive
Compressive strength is considered as one of the most important parameters in concrete design. Time and cost can be reduced if the compressive strength of concrete is accurately estimated. In this paper, a new prediction model for compressive strength of high-performance concrete (HPC) was developed using a non-tuned machine learning technique, …
Compressive Strength Prediction of Concrete Under Sulfate …
The mass and strength of concrete may decrease as a result of sulfate attack (Zhou et al. 2020).Of the indexes to evaluate the degradation of sulfate attack concrete, such as mass loss, sulfate ions distributions, etc., the compressive strength (CS) has always been one of the most concerned points (Cheng et al. 2021).To exactly predict the CS of concrete subject to …
Machine-Learning-Based Predictive Models for Compressive Strength …
The process of concrete production involves mixing cement, water, and other materials. The quantity of each of these materials results in a performance that is particularly estimated in terms of compressive or flexural strength. It has been observed that the final performance of concrete has a high variance and that traditional formulation methods do not …
Compressive Strength Prediction of Lightweight Concrete: Machine …
Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre-reinforced concrete, polymer-modified concrete, and lightweight concrete. The precise prediction of the properties of concrete is a problem due to the design code, which …
Compressive strength prediction of fly ash concrete by using machine …
In this research, the machine learning techniques such as, minimax probability machine regression (MPMR), relevance vector machine (RVM), genetic programming (GP), emotional neural network (ENN) and extreme learning machine (ELM) were utilized in the event of forecasting the 28 days compressive strength of fly ash concrete. In the present examination, …
Machine learning prediction and optimization of compressive strength …
Figure 8(a,b) displays the test data's R 2 value of the actual compressive strength of each experiment (y i) on the x axis, while over the y axis, the predicted compressive strength (y ̂) by the model is shown (Pereira et al., Citation 2020). The best-fit line indicating the prediction in the model was also compared to an identity line at a ...
Evaluating compressive strength of concrete made with …
Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach. Author links open overlay panel Van ... B.T. Pham, L.H. Son, T.A. Hoang, D.M. Nguyen, D. Tien Bui, Prediction of shear strength of soft soil using machine learning methods, Catena. 166 (2018) 181–191. Doi: 10.1016/j.catena.2018. ...
Compression Machines, Computer-Controlled
Compression testing machines for compressive strength testing of light, normal and heavy concrete, as well as ultra-high performance concrete (UHPC), according to DIN EN 7500-1 and EN 12390-4 in a very wide measuring range …
Choosing a Standard Concrete Compression …
In this blog, we created a 5-step buying guide to help you select the specific standard concrete compression machine and adaptive accessories that will best suit your laboratory concrete compressive testing needs.
(PDF) Compressive strength prediction of sustainable …
Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses March 2024 Case Studies in Construction ...
(PDF) Machine learning-based compressive …
A total of 1030 sets of concrete compressive strength tests is collected to train and test the learners, in which the concrete mixture components (e.g., coarse/fine aggregates, cement, water ...
Compressive strength of concrete with recycled aggregate; a machine …
Considering the numerical compressive strength reported in Table 4, the 3- and 7-day strength values vary in the range of 4.76–16.90% and 6.47–13.26, respectively, while 28-day strength alters in the range of and 9.83–34.06%. On the other hand, for the concrete with fine recycled aggregate the reduction in compressive strength of 3-day ...
Concrete Compression Machines
CONTROLS offers a comprehensive range of automatic high stiffness concrete compression machines for testing concrete cubes, cylinders and blocks in accordance with EN Standards, …
Predicting Concrete Compressive Strength Using Machine …
The paper is devoted to prediction of concrete compressive strength depending on its composition using machine learning methods. The use of machine learning improves the accuracy of the prediction of concrete strength and reduces the number of necessary experimental checks when selecting the composition.The approach is described which is …
Compressive strength prediction of high-strength concrete using machine
For decades, concrete has been one of the most used materials in the construction industry around the world. Concrete consists of various materials of which cement is an essential component, majorly contributing in better bonding between aggregates and contributes in strength. But when it comes to sustainability, this material has contributed about …
AxelSeanCP/Concrete-Strength-Prediction
Building materials, especially low-quality concrete, are believed to be a source of building collapses. One way to determine the quality of concrete is by testing its compressive strength, also known as Concrete Compressive Strength. The compressive strength of concrete depends on the components used in the mixing process.
Predicting Confined Compressive Strength of Concrete Using Machine …
In order to develop the random forest model (RF) and multiple linear regression model (MLR), a total of 144 testing data of the confined compressive strength of concrete were collected from the literatures [5,6,7,8,9,10,11,12,13,14,15].Seven essential input parameters are required to estimate the confined compressive strength of the concrete-filled uPVC and/or …
Performance Comparison of Machine Learning Models for …
This study explores the prediction of concrete compressive strength using machine learning models, aiming to overcome the time-consuming and complex nature of conventional methods. Four models—an artificial neural network (ANN), a multiple linear regression, a support vector machine, and a regression tree—are employed and compared for performance, using …
Comparative Study of Supervised Machine Learning Algorithms for
High temperature severely affects the nature of the ingredients used to produce concrete, which in turn reduces the strength properties of the concrete. It is a difficult and time-consuming task to achieve the desired compressive strength of concrete. However, the application of supervised machine learning (ML) approaches makes it possible to initially …
Concrete Compression Testing Machines | Strength Testing
34 rowsConcrete Compression Machines from Gilson meet all ASTM/AASHTO strength testing requirements for conventional concrete test cylinders. A complete selection of compression machine accessories allows easy configuration of all models to test concrete cores, cubes, …
Compression Testing Machines
Test hydraulic cement, down hole cement, mortar, grout, concrete, self-consolidating concrete, CLSM, flowable fill, proppant, ceramics, metals, and plastics. Forney compression machines …
(PDF) Compressive strength of concrete material using Machine …
The paper presents a study on the various investigation of machine learning (ML) algorithms to estimate the compressive strength (CS) of concrete containing fly ash (FA). The research also aims to ...
Modelling and Prediction of Concrete …
The compressive strength of concrete plays an important role in determining the durability and performance of concrete. Due to rapid growth in material engineering finalizing an appropriate ...
Prediction of Compressive Strength of Concrete Specimens …
The aim of this paper is to explore an effective model for predicting the compressive strength of concrete using machine learning technology, as well as to interpret the model using an interpretable method, which overcomes the limitation of the unknowable prediction processes of previous machine learning models. An experimental database containing 228 …
Enhancing Prediction Accuracy of Concrete …
Accurate prediction of concrete compressive strength can minimize the need for extensive, time-consuming, and costly mixture optimization testing and analysis.
Concrete compressive strength prediction using an …
The compressive strength of concrete is extremely dependent on its mixing compositions [1].The amount of cement and supplementary cementitious materials (SCMs), the ratio of water to cement (W/C), the particle size of fine and coarse aggregates, and the type and quantity of chemical admixtures are factors that affect the concrete compressive strength.
Prediction and uncertainty quantification of compressive strength …
Compressive strength is considered to be one of the most important mechanical properties of high-strength concrete (HSC). In this study, three machine learning models, ELM, PSO-ANN, and GS-SVR were employed to predict the …
Evaluating the Sensitivity of Machine Learning Models to …
This study rigorously examines the impact of various data preprocessing techniques on the accuracy of machine learning models in predicting concrete's compressive strength. It develops ten regression models under nine distinct preprocessing scenarios, including normalization, standardization, principal component analysis (PCA), and polynomial features, …
Super learner machine‐learning algorithms for compressive strength
Kaloop et al. 22 used a gradient boosting machine (GBM) and 23 employed an adaptive boosting (AdaBoost) algorithm to predict compressive strength for concrete. Nguyen et al. 24 revealed that for two particular datasets of compressive and tensile strengths of HPC, 3, 25 GBM and extreme gradient boosting (XGBoost) performed better than support ...
Compressive Strength Evaluation of Ultra-High …
In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building material. To save money and time in the construction sector, soft computing approaches have been used to estimate concrete …