compressive strength machine concrete

Standard Test Method for Compressive Strength of Cylindrical Concrete

Scope. 1.1 This test method covers determination of compressive strength of cylindrical concrete specimens such as molded cylinders and drilled cores. It is limited to concrete having a density in excess of 800 kg/m 3 [50 lb/ft 3 ]. 1.2 The values stated in either SI units or inch-pound units are to be regarded separately as standard.

Compressive Strength of Steel Fiber-Reinforced Concrete …

Two machine learning approaches, the individual and ensemble approaches, were employed by Ahmad et al. to forecast concrete compressive strength . Su et al. used different machine learning algorithms to estimate the strength of the link between concrete and fiber-reinforced polymers [ 25 ].

Concrete Strength Testing Equipment

Compressive or flexural strength of concrete is easily measured in a number of ways for different types of specimens. Gilson Compression Testing Machines are the stiffest in the industry and meet or exceed …

Concrete Compressive Strength

Given are the variable name, variable type, the measurement unit and a brief description. The concrete compressive strength is the regression problem. The order of this listing corresponds to the order of numerals along the rows of the database. Name -- Data Type -- Measurement -- Description Cement (component 1) -- quantitative -- kg in a …

Compressive Strength of Steel Fiber-Reinforced Concrete …

Recently, research has centered on developing new approaches, such as supervised machine learning techniques, that can compute the mechanical characteristics of materials without investing much effort, time, or money in experimentation. To predict the 28-day compressive strength of steel fiber–reinforced concrete (SFRC), machine …

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 …

Prediction of the compressive strength of normal concrete …

In recent times, the use of machine learning techniques has become a new trend for predicting compressive strength of concrete. The use of such algorithms in predicting the strength and its proportioning has eased the manual work of mix design. In the present study, an attempt has been made to use advanced machine learning …

Concrete Testing Equipment for Lab and Field

Gilson's concrete compression testing machines range in various load capacities from 250lbf to 500lbf. We offer various compression machine accessories for various strength testing tests on cylinders, beams, and …

Prediction of concrete's compressive strength using …

Prediction of concrete's compressive strength using machine learning algorithms - ScienceDirect. Available online 24 August 2023. In Press, Corrected Proof …

A Machine Learning Approach to Prediction of the Compressive Strength …

Lightweight aggregate concrete (LWAC) is an increasingly important material for modern construction. However, although it has several advantages compared with conventional concrete, it is susceptible to segregation due to the low density of the incorporated aggregate. The phenomenon of segregation can adversely affect the …

Numerical Test and Strength Prediction of Concrete Failure …

Recycled aggregate concrete (RAC) based on the machine learning (ML) method predicts the nonlinear uncertainty relationship between various mixing ratios and strength. Uniaxial compressive strength is one of the important indices to evaluate its performance. Machine learning is one of the essential methods for solving this nonlinear …

Prediction of Geopolymer Concrete Compressive Strength Using …

The innovation of geopolymer concrete (GPC) plays a vital role not only in reducing the environmental threat but also as an exceptional material for sustainable development. The application of supervised machine learning (ML) algorithms to forecast the mechanical properties of concrete also has a significant role in developing the …

Factors affecting the results of concrete compression

For example, for lower strength concrete, the strengths of 150 × 300 mm and 100 × 200 cylinders are almost the same [115], [122], although some researchers found a difference in compressive strengths even for lower strengths [123]. For higher-strength concrete there is an observed size effect [95], [98], [115].

Investigating dynamic compressive strength of concrete by …

The evaluation of the concrete compressive strength at static loading rates has already been well-designed and specified in many international ... and high-rate compressive strength tests on the concrete specimens. The testing machine used for the compressive tests at both static and seismic loading rates was MTS 815, a low-rate hydraulic ...

Unboxing machine learning models for concrete strength

The machine learning framework for predicting concrete strength comprises five fundamental stages, as illustrated in Fig. 1.Firstly, the data collection process involves preparing a series of ...

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 …

Exploring the Use of Waste Marble Powder in Concrete and …

Additionally, this study aims to explore the usage of ensembles machine learning (ML) and individual approaches for the prediction of compressive strength (C.S) of waste marble concrete (WMC). Forecasting the compressive strength of waste marble concrete is achieved by utilizing random forest (RF), AdaBoost (AdB), bagging (Bg), and …

Compressive Strength Prediction of Lightweight Concrete: Machine …

The strength of lightweight concrete was predicted by Kumar et al. [25] using six machine learning algorithms: GPR, EL, SVMR, enhanced SVMR and GPR, and ensemble learning (EL). The results of this ...

Investigating dynamic compressive strength of …

The evaluation of the concrete compressive strength at static loading rates has already been well-designed and specified in many international [1 ... The equipment used for the …

Compression Testing Machines

Test hydraulic cement, down hole cement, mortar, grout, concrete, self-consolidating concrete, CLSM, flowable fill, proppant, ceramics, metals, and plastics. PROTOCOL …

Feature engineering for predicting compressive strength of …

In Fig. 4, the feature map of high-strength concrete is depicted, which provides a relationship between different components and the compressive strength of the concrete.A feature map is a useful tool for analyzing the impact of various factors on the final properties of the concrete mixture. The feature map clearly demonstrates that the …

Fiber-Reinforced Polymer Confined Concrete: Data-Driven

Accurate estimation of the mechanical properties of concrete is important for the development of new materials to lead construction applications. Experimental research, aided by empirical and statistical models, has been commonly employed to establish a connection between concrete properties and the resulting compressive strength. …

Machine Learning Models for Concrete Compressive Strength

Using machine learning models, we were able to see the importance of concrete mix components on compressive strength. The Random Forest model showed that cement, age of concrete and water are the main components that affect compressive strength. An important factor in concrete engineering is the water-cement ratio.

Predictive models for concrete properties using machine …

Among the various properties of concrete, compressive strength has been considered a direct indicator of performance. ... Yaseen et al. [94] predicted the compressive strength of lightweight ed concrete by the extreme learning machine model and three other models (MARS, M5, and SVR). In this regard, ELM is an accurate …

Predicting compressive strength of concrete with fly ash …

The prediction of compressive strength in concrete plays a crucial role in the construction industry, as it helps ensure the structural integrity of buildings and infrastructure. This study examines the utilization of fly ash and admixture combinations as input factors for predicting compressive strength using four machine learning …

Concrete Compressive Strength

Concrete Compressive Strength - UCI Machine Learning Repository. Donated on 8/2/2007. Concrete is the most important material in civil engineering. The …

Compressive Strength Prediction of Fly Ash Concrete Using Machine …

It is time-consuming and uneconomical to estimate the strength properties of fly ash concrete using conventional compression experiments. For this reason, four machine learning models—extreme learning machine, random forest, original support vector regression (SVR), and the SVR model optimized by a grid search algorithm—were …

Advanced machine learning algorithms to evaluate the …

1. Introduction. A relatively newer type of concrete, i.e., Ultra-High-Performance Concrete (UHPC), is recognized due to its superior durability and significantly higher compressive strength [1–4].The structures exposed to severe climatic/environmental stresses can specifically be benefitted from UHPC's superior …

Concrete Compression Testing Machines | Strength Testing

Concrete Compression Machines from Gilson meet all ASTM/AASHTO strength testing requirements for conventional concrete test cylinders. A complete selection of …

Prediction of compressive strength of geopolymer concrete …

Geopolymer concrete (GPC) is a revolutionary innovation in the concrete industry. Due to its resistance to extreme conditions and tensile strength, it may be the future of all construction disciplines. It is an ideal substitute for ordinary concrete. It is more durable, environmentally friendly, sustainable, and cost-effective than traditional …