Mar 01, 2016 Table 4 lists the cubic compressive strength of MSC at 28 days collected from experiments. Where f ce represents the cement compressive strength tested in accordance with Standard ISO 679–1989 .The test data of Table 4 has cubic compressive strength at 28 days ranged from 25.0 MPa to 84.6 MPa with water-to-cement ratio as 0.30–0.70, sand ratio of 30–46%, P.O.32.5
3 rows Concrete Compressive Strength Data Set. Download: Data Folder, Data Set Description. Abstract:
Sep 05, 2017 The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory. Data is in raw form (not scaled). Summary Statistics: Number of instances (observations): 1030 Number of Attributes: 9 Attribute breakdown: 8 quantitative input variables, and 1 quantitative output variable
Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. Source: Original Owner and DonorProf. I-Cheng Ye
Apr 01, 2017 This article presents 755 groups splitting tensile strength tests data of concrete with manufactured sand (MSC) in different curing age ranged from 1 day to 388 days related to the research article “Experimental study on tensile strength development of concrete with manufactured sand” (Zhao et al., 2017) .These data were used to evaluate the precision of the prediction formulas of tensile
5 rows Aug 08, 2018 The aim of the dataset is to predict concrete compressive strength of high performance
Oct 25, 2019 Dataset Description. The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory. Data is in raw form (not scaled).The data has 8 quantitative input variables, and 1 quantitative output variable, and 1030 instances (observations). Context. Concrete is the most important material in civil engineering
This repository contains the dataset we collect for our JCBM paper A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures . If you use our dataset or our code, please cite our paper
Mar 01, 2016 Table 4 lists the cubic compressive strength of MSC at 28 days collected from experiments. Where f ce represents the cement compressive strength tested in accordance with Standard ISO 679–1989 .The test data of Table 4 has cubic compressive strength at 28 days ranged from 25.0 MPa to 84.6 MPa with water-to-cement ratio as 0.30–0.70, sand ratio of 30–46%, P.O.32.5
Download Table | UCI dataset for estimating concrete compressive strength. from publication: Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based
Nov 19, 2018 Compressive strength dataset of foamed/normal concrete for prediction model. The information on the concrete dataset is as follows: 1. The Dataset 1 contains 177 samples of foamed concrete. References: Given in the excel file. 2. The Dataset 1A contains 34 samples of foamed concrete from the laboratory. 3
Mar 05, 2020 In this article, we are going to analyse Concrete Compressive Strength dataset and build Machine Learning models to predict the compressive strength. This notebook containing all the code can be used in parallel. Dataset Description. The dataset consists of 1030 instances with 9 attributes and has no missing values. There are 8 input variables
Oct 21, 2021 The concrete (cement) is the most important material in building construction, and its compressive strength is a nonlinear function of its age and its components. In this problem, we try to train a model of concrete compressive strength as a function of its characteristics, given the dataset Concrete_Data.csv
Sep 27, 2021 The 1030 datasets for 17 studies used in constructing the data-driven model are the long-term compressive strength of ternary-blend concrete experimental data retrieved from the University of California dataset repository, Irvine , .It is important to note that the compressive strength tests were conducted on cubic concrete specimens (150 mm) according to the laid-down
scientists [3-6]. Therefore, having particular concrete characteristics and an appropriate choice of one of these data-driven models which applies to prepared specific dataset, the compressive strength of concrete can be properly estimated. Researchers have used these data-driven models in different fields of concrete technologies
Dec 28, 2020 The basic parameters to predict the compressive strength of concrete containing GGBFS include 8 input variables. The dataset is randomly divided into two parts, where 70% of the data are used to train the RF model and the remaining 30% is used to validate the built model. Step 2
May 03, 2011 Concrete compressive strength is also a highly nonlinear function of ingredients. Several studies have independently shown that concrete strength is determined not only by the water-to-cement ratio but also by additive materials. The compressive strength of HPC is a function of all concrete content, including cement, fly ash, blast-furnace slag
Oct 21, 2019 According to the website, the concrete dataset contains 1,030 examples of concrete with eight features describing the components used in the mixture. These features are thought to be related to the final compressive strength and they include the amount (in kilograms per cubic meter) of cement, slag, ash, water, superplasticizer, coarse
Oct 23, 2018 Introduction . In this notebook, we will build a simple three-layer feed-forward neural network model using Keras, running on top of TensorFlow. The sequential model will be trained using the Concrete Compressive Strength Data Set to learn to predict the compressive strength of concrete samples based on the material used to make them