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Concrete strength prediction machine learning

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 … WebJun 26, 2024 · In this investigation, an approach using a feedforward neural network (FNN) machine learning algorithm was proposed to predict the compressive strength of later-age concrete. The proposed model was fully evaluated in terms of performance and prediction capability over statistical results of 1000 simulations under a random sampling effect.

Machine Learning Prediction Models to Evaluate the …

WebOct 23, 2024 · A crucial factor in the efficient design of concrete sustainable buildings is the compressive strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting Regression Tree (GBRT) with grid search cross-validation (GridSearchCV) optimization technique was used to predict the compressive strength, … 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 Characteristics: Multivariate. Number of Instances: 1030. Area: napoleon wood burning stoves canada https://peoplefud.com

Compressive strength prediction of metakaolin based high …

WebMay 28, 2024 · Compressive strength is one of the important parameters of concrete, and carrying out concrete compressive strength prediction is of high reference value for concrete design. Eight variables related to concrete strength are used as the input of … WebJan 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 … 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 … napoleon wins alternate history

Predicting compressive strength of high-performance concrete

Category:Prediction of the Long-Term Tensile Strength of GFRP Bars in Concrete

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Concrete strength prediction machine learning

Machine Learning Prediction Models to Evaluate the …

WebMar 24, 2024 · The compressive strength of high-performance concrete has exceeded 200 MPa. 28-d average strength between 100 to 120 MPa of high-performance concrete has been widely used in engineering. Compressive strength is one of the important … WebOct 26, 2024 · Currently, one of the topical areas of application of machine learning methods in the construction industry is the prediction of the mechanical properties of various building materials. In the future, algorithms with elements of artificial intelligence …

Concrete strength prediction machine learning

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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 … 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 …

WebJun 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). 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 …

WebFeb 17, 2024 · Here, based on the analysis of a fairly large dataset (>10,000 observations) of measured compressive strengths from industrial concretes, we compare the ability of three selected machine learning algorithms (polynomial regression, artificial neural … WebApr 11, 2024 · Therefore, some scholars tried to use ML methods to predict the basic mechanical properties of concrete, Tran et al. [27] used six ML models to predict and analyze the compressive strength of recycled concrete, and results showed that cement content and water consumption were the main factors affecting the compressive …

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 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}, … napoleon wood stove accessoriesWebExplore 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. … melatonin as a treatment for covidWebDec 27, 2024 · In the current studies, the machine learning-based model has been widely used in slope stability prediction , floods , prediction of mechanical properties of materials [10–12] and building structures [13, 14]. In addition, many researchers have explored the application of machine learning in concrete prediction of compressive strengths. napoleon woodland 27 electric log setWebJan 1, 2024 · Six machine learning models substantially increased the prediction accuracy compared with the sixteen traditional empirical equations, and they especially reduced the variation. Based on the ANN algorithm, an accurate, explicit and practical equation was derived to predict the FRP-concrete interfacial shear capacity. napoleon wood stove lowest priceWebAug 2, 2024 · Compressive strength can also be predicted using regression analyses and several methods which can be collectively classified as machine learning (ML). One of the popular machine learning approaches is Artificial Neural Networks (ANN). The ANN … napoleon wood stove fanWebJul 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 ... melatonin as possible covid 19 treatmentWebJun 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 ... napoleon wood stoves parts manual