Concrete strength prediction machine learning

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August undefined, 2024

WebApr 7, 2024 · Keywords: green construction projects; external support; cost prediction; machine learning. ... Beams of high-strength concrete (f(cc) up to 90 MPa) were tested in shear and bending. Various types ... WebMar 4, 2024 · Compressive strength is an important mechanical property of high-strength concrete (HSC), but testing methods are usually uneconomical, time-consuming, and labor-intensive. To this end, in this paper, a long short-term memory (LSTM) model was proposed to predict the HSC compressive strength using 324 data sets with five input independent …

Predictive models for concrete properties using machine learning …

WebMar 1, 2024 · DOI: 10.1016/j.matpr.2024.03.522 Corpus ID: 257874960; Compressive strength prediction of metakaolin based high-performance concrete with machine learning @article{Rajender2024CompressiveSP, title={Compressive strength prediction of metakaolin based high-performance concrete with machine learning}, … WebSep 6, 2024 · This paper aims to develop a novel prediction tool based on the machine learning framework to evaluate the compressive strength and effective porosity of pervious concrete material from its compositions. To address this difficult task, 14 data sources were collected from the literature to build a dataset of 164 samples. The dataset included … my flixer family guy

Efficient machine learning models for prediction of …

WebApr 17, 2024 · Predictable compressive strength of concrete is essential for concrete structure utilisation and is the main feature of its safety and durability. Recently, machine learning is gaining significant attention and future predictions for this technology are even more promising. WebAug 4, 2024 · Blast furnace slag (BFS) and fly ash (FA), as mining-associated solid wastes with good pozzolanic effects, can be combined with superplasticizer to prepare concrete with less cement utilization. … WebConcrete is a building material that is most widely used because of its excellent mechanical performance and durability. Compressive strength is an essential property of concrete, which changes with time under various factors. In this paper, the time variation law of the compressive strength of concrete was reviewed from three aspects: single, multiple … ofm union agreements

Concrete Strength Prediction Using Different Machine Learning …

Machine learning-based compressive strength prediction …

WebApr 30, 2024 · Exploratory Data Analysis (EDA) EDA is an important step to build any machine learning project, it is an approach of analyzing datasets to summarize their main characteristics. With the help of EDA, we can able to take knowledge of features by just … WebNov 29, 2024 · Abstract. Machine learning methods have been successfully applied to many engineering disciplines. Prediction of the concrete compressive strength (f c) and slump (S) is important in terms … myflixer fall outWebJun 10, 2024 · The development in computational methods can be used to obtain a rational relation between the materials used and the compressive strength using machine learning techniques which reduces the ... my flixer gotham

"WebApr 14, 2024 · The durability of two types of widely used glass fiber reinforced polymer (GFRP) bars, one without coating (G1) and one with slightly surface sand-coating (G2), were studied through accelerated aging. Concrete cylinders reinforced with GFRP bars were immersed in tap water in temperature-controlled tanks. The influence of different … " - Concrete strength prediction machine learning

Concrete strength prediction machine learning

Compressive strength prediction of high-strength concrete using …

WebYou can watch the step-by-step tutorial video below to help you complete this Machine Learning example for free using the powerful machine learning software, Neural Designer. References I-Cheng Yeh, "Modeling of strength of high performance concrete using artificial neural networks", Cement and Concrete Research, Vol. 28, No. 12, pp. 1797 … WebJan 27, 2024 · Accurate prediction of the compressive strength of concrete is of great significance to construction quality and progress. In order to understand the current research status in the concrete compressive strength prediction field, a bibliometric analysis of the relevant literature published in this field in the last decade was conducted first. The 3135 …

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WebSep 23, 2024 · Because of the absence of any empirical relation between the compressive strength of concrete and the new and upcoming concrete mixtures, machine learning techniques have been put to use for the predictions of various mechanical properties … WebNov 10, 2024 · Also, machine learning techniques like multi-linear regression (MLR) and extreme gradient boosting (XGB) algorithms were utilized for the compressive strength prediction of concrete (CSC). Results indicated that XGB for cylinder compressive strength was found to be 2.7% greater than cube compressive strength and MLR for …

WebOct 2, 2024 · 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 … WebConcrete Compressive Strength Data Set. Download: Data Folder, Data Set Description. Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. Data Set …

WebCompressive and flexural strength are the crucial properties of a material. The strength of recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate concrete. Several factors, including the recycled aggregate replacement ratio, parent concrete strength, water–cement ratio, water absorption, density of the recycled … WebExplore and run machine learning code with Kaggle Notebooks Using data from [Private Datasource] code. New Notebook. table_chart. New Dataset. emoji_events. ... Concrete strength prediction Python · [Private Datasource] Concrete strength prediction. …

% of murders by raceWebMay 28, 2024 · Through data preprocessing and parameter optimization, all three methods achieve a nice prediction state, and the results of the study can provide some reference for machine learning in the field of concrete strength prediction research. The R 2 … of music having no established keyWebJun 6, 2024 · Ouyang, B. et al. Predicting concrete’s strength by machine learning: Balance between accuracy and complexity of algorithms. ACI Mater. J. 117 , 125–134 (2024). ofm urban dictionaryWebJan 10, 2024 · Up to date, several ML algorithms are used for concrete compressive strength prediction, among which the most preferred ones are artificial neural network (ANN) and support vector machine (SVM). To name a few, Siddique et al. [13] used … myflixer fast and furious 6WebApr 12, 2024 · In this research, the compressive and flexural strengths of RAC were predicted using ensemble machine learning methods, including gradient boosting and random forest. Twelve input factors were used in the dataset, and their influence on the … myflixer downloader onlineWebJan 10, 2024 · For example, in the HPC compressive strength prediction task, the features consist of Cement, Blast furnace slag, Fly ash, Water, Superplasticizer, Coarse aggregate, Fine aggregate, Age and Compressive strength. The output is a predicted real number … myflixer fast and furious 9WebJul 21, 2024 · Among them, the use of artificial neural networks to predict the compressive strength of concrete is more studied. For example, Garg A, Aggarwal P, Aggarwal Y, et al. [20], using SVM and GPR to ... ofm utility table