Concrete strength prediction machine learning
WebSuperplasticizer: used in making high-strength concrete. Coasese_aggregate: prices of rocks obtain from ground deposits. fine_aggregate: the size of aggregate small than 4.75mm. age: Rate of gain of strength is faster to start with and the rate gets reduced … 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 …
Concrete strength prediction machine learning
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Web13 hours ago · The most important mechanical property of the resulting columns is the uniaxial compressive strength (UCS). The strength of a jet grouting improvement is expressed as a fraction of the UCS (usually between 0.2 and 0.3 times) considering the Tresca failure criterion ( Croce et al., 2014 ). On the other hand, there is a scientific … WebJan 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.
WebJul 18, 2024 · To this end, hybrid machine learning combines the SVR model and grid search (GS), namely, the GS-SVR model was proposed to predict the compressive strength of concrete and sensitivity analysis in ... WebJul 18, 2024 · Splitting tensile strength is one of the commonly used mechanical properties in the design of high-performance concrete (HPC) structures. To achieve accurate prediction of splitting tensile strength of HPC, two optimized machine learning models GA-ANN and GS-SVR were employed to predict the target tensile strength on 714 sets …
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 … 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 …
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. …
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). natural vegetation class 9WebMar 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 … natural vegetation and wildlife videoWebOct 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 … marina view white siteWebConcrete 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 … marina view townhouseWebOct 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, … natural vegetation class 11 geography notesWebAug 4, 2024 · Concrete Strength Prediction Using Different Machine Learning Processes: Effect of Slag, Fly Ash and Superplasticizer ... The RF algorithm was utilized in combination with PCA and PSO for the concrete strength prediction. The specific conclusions are as follows: (1) The R, EVS, MAE and MSE values on the original dataset … marina view vacation clubmarina village anchor room