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
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