Concrete Compressive Strength Data Set
Data Article Dataset of long-term compressive strength of concrete …
Be useful for comparing compressive strength of MSC with that of concrete made by different aggregates. Data. The long-term compressive strength test data of MSC from authors' experiments and compressive strength test data of MSC at 28 days collected from authors' experiments and other researches in China are presented. 1.
Concrete Compressive Strength | Kaggle
Predicting the strength of concrete: A material used in daily construction
Numerical Test and Strength Prediction of Concrete Failure …
The simulation results are highly consistent with the actual values. Based on the simulation database, with different water-cement ratios, different curing days, and recycled aggregate replacement rates as the input data set, the uniaxial compressive strength of concrete is the output data set.
Comparative study of machine learning methods to predict compressive …
Concrete compressive strength (CCS) is one of the most important parameters to determine the performance of concrete during service conditions. To accurately predict the compressive strength of the entire concrete system makes it a great challenge for a sustainable built environment and future generations since the …
Predicting compressive strength of high-performance concrete …
Data collection and pre-processing Overview. A total of 152 data of HPC compressive strength data were gathered from concrete trial mix conducted at a laboratory in Selangor, Malaysia.
Concrete : Concrete Compressive Strength Data Set
Concrete: Concrete Compressive Strength Data Set In MAVE: Methods for Dimension Reduction. Description Format Details Source References Examples. Description. Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients. This dataset contains 1030 instances and …
Supervised Learning Methods for Modeling Concrete Compressive Strength
Supervised learning algorithms are a recent trend for the prediction of mechanical properties of concrete. This paper presents AdaBoost, random forest (RF), and decision tree (DT) models for predicting the compressive …
Machine learning-based compressive strength prediction for …
The data set was provide by Yeh [36] and originally used for prediction of concrete slump. The data set includes 103 samples and each sample has 8 ingredients, …
Modeling and predicting the sensitivity of high-performance concrete …
For the concrete compressive strength of high-performance concrete, estimated 1030 data sets of nine input variables, such as cement, blast furnace slag, water, superplasticizer, fine aggregate, concrete age, and so on, are required.
Concrete Strength Dataset
This dataset provides information about the compressive strength of concrete which is the most important material in civil engineering based on its components and its age.
Concrete Compressive Strength | Kaggle
Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals. Concrete Compressive Strength | Kaggle code
Concrete Compressive Strength Data Set Analysis
Concrete Compressive Strength Data Set Analysis. Contribute to SambhavGoyal/CONCRETE-STRENGTH-ANALYSIS development by creating an account on GitHub.
(PDF) Analysis of Compressive Strength of Sustainable
Estimating the compressive strength of fi ber-reinforced ed concrete materials is one of the goals of this study. In this investigation, the ANN algorithm, which is a lifting-based machine ...
Concrete Strength Prediction Using Machine …
In easy words the Compressive Strength of Concrete determines the quality of Concrete, we check it by standard crushing test on a concrete cylinder. Concrete strength is also considered a key …
Concrete Compressive Strength Regression Model Using …
In this notebook, we build a simple three-layer feed-forward neural network regression model using Keras, running on top of TensorFlow, to predict the compressive strength of concrete samples based on the material used to make them.
Predicting the Compressive Strength of Pervious Cement Concrete …
The primary objective of this paper is to develop an appropriate predictive formula for the compressive strength of pervious concrete, which depends on its mixture. This will allow for the improvement of the proportioning procedure that considers both the target porosity and target compressive strength. To achieve this, an effective …
SimpleMLDemo-Concrete
Scikit-LearnUCI/ A Very Simple Machine Learning Case Based on Scikit-Learn and UCI Concrete Compressive Strength Dataset - kfs196/SimpleMLDemo-Concrete
R: Concrete Compressive Strength Data Set
Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients. This dataset contains 1030 instances and …
Experimental Data set for concrete compressive strength …
The database is gathered by experimental testing concrete cube specimens, in the concrete technology laboratory of the Indian Institute of Technology Bhubaneswar, for 188 different concrete mixes. Several concrete mix proportions are tested for predicting the compressive strength of recycled aggregates concrete (RCA). For most of the …
Concrete Compressive Strength Data Set
Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients. This dataset contains 1030 instances and there are 8 features …
Latest concrete materials dataset and ensemble prediction …
Testing the compressive strength of concrete using machine learning approaches has high importance for civil engineering.Machine learning approaches provides high accuracy with reduced cost and time. However, such approaches require concrete composition data detailing the type and quantitative ratio of different materials …
Investigation on Compressive Strength of Fibre-Reinforced Concrete …
This work employs the ANN algorithm, a lifting-based machine learning method, to estimate the compressive strength of concrete materials, filling a gap in the project. The relationship between all the materials and the concrete's compressive strength was studied using data from twelve sets of concrete specimens.
Concrete Compressive Strength
Concrete Compressive Strength ----- Data Type: multivariate Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients.
PREDICTION OF CONCRETE COMPRESSIVE STRENGTH …
The data of concrete compressive strength from a concrete ready mix plant was employed in the development of the analytical models; these were validated using the strength results from the presented study and those available in the literature.
Adapting Artificial Intelligence to Improve In Situ Concrete
As a result, this research attempts to apply artificial intelligence prediction models to estimate concrete compressive strength using data from in situ rebound hammer tests. The results show that artificial intelligence methods can effectively improve in situ concrete compressive strength estimations in rebound hammer tests.
Machine learning in concrete strength simulations: Multi-nation data
This comprehensive study used advanced machine learning techniques to predict concrete compressive strength. ... The ML models approximate the relationships between the inputs and outputs based on a measured set of data. Recently, the use of ML-based applications has increased in many areas of civil engineering, ...
Automatic Modeling for Concrete Compressive Strength …
Machine learning is widely used for predicting the compressive strength of concrete. However, the machine learning modeling process relies on expert experience. Automated machine learning (AutoML) aims to automatically select optimal data preprocessing methods, feature preprocessing methods, machine learning algorithms, …
Prediction of concrete compressive strength using a …
Concrete has become the prevalent building material in modern society due to its affordability, ease of casting, and substantial compressive strength after hardening …
Concrete compressive strength prediction using an …
Predictive model for concrete compressive strength as a CSAH problem. In this study, the proposed prediction model for concrete compressive strength involves simultaneously selecting an ML model and setting its hyperparameters. It is treated as a CASH problem and is solved through a completely automated approach based on …
R: Concrete Compressive Strength Data Set
Concrete Compressive Strength Data Set Description. Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients.
Concrete : Concrete Compressive Strength Data Set
Concrete strength is very important in civil engineering and is a highly nonlinear function of age and ingredients. This dataset contains 1030 instances and …
Concrete compressive strength using artificial neural …
ANNs have been systematically used for predicting the compressive strength of concrete, utilizing both the ultrasonic pulse velocity and the Schmidt rebound hammer experimental results, which are available in the literature. ... An experimental database consists of experimental data sets available in the literature has been prepared.
Machine Learning-Based Method for Predicting Compressive Strength …
The section uses the GBRT algorithm, combined with 1030 sets of concrete compressive strength data, to build a prediction model for the compressive strength of concrete and analyses the results obtained after running the model. It finds that the prediction model can predict the compressive strength of concrete better.
Can the compressive strength of concrete be estimated …
To illustrate the variables in the data set, Fig. 2 plots the concrete's compressive strength (f c, MPa) as a function of the eight input variables in the VIP data set. As expected, there is an inverse relationship between w/c and compressive strength, however, the range of measured compressive strengths for a given w/c is still very large.