compressive strength machine concrete

Compressive strength prediction of high-strength
2022年9月23日 For decades, concrete has been one of the most used materials in the construction industry around the world. Concrete consists of various materials of which
Bavarder sur Internet
Compressive Strength Prediction of Lightweight Concrete:
2022年2月19日 Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength
Bavarder sur Internet
Machine learning-based compressive strength prediction
2020年1月10日 A total of 1030 sets of concrete compressive strength tests are collected, and the mixture contents and curing time are set as the input data while the compressive
Bavarder sur Internet
Assessing compressive strengths of mortar and concrete
2022年4月23日 Compressive strength is the most important metric of concrete quality. Various nondestructive and semi-destructive tests can be used to evaluate the
Bavarder sur Internet
Concrete compressive strength prediction using an
In this study, ordinary Portland cement (OPC), fly ash (FA), slag, water, superplasticizer (SP), coarse aggregate (CA), fine aggregate (FA) and age of concrete cure (Age) are
Bavarder sur Internet
Predicting concrete compressive strength using hybrid
2021年7月1日 Concrete compressive strength vs water-to-binder ratio for superplasticizer percentage 0.00 and 1. 50 based on the optimum HENSM model (BFS/B = 30%, FA/B =
Bavarder sur Internet
Factors affecting the results of concrete compression
2021年3月1日 For example, for lower strength concrete, the strengths of 150 × 300 mm and 100 × 200 cylinders are almost the same [115], [122], although some researchers
Bavarder sur Internet
Prediction of Concrete Compressive Strength
2019年11月29日 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
Bavarder sur Internet
Concrete Compression Testing Machines Strength
Standard Concrete Compression Machines offer a choice of two different electronic controllers with full-range accuracy of ±0.5% and functionality to print or download
Bavarder sur Internet
Interpretable XGBoost–SHAP machine learning
2023年4月18日 This study aims to anticipate and develop an empirical formula for RHA concrete’s compressive strength (CS) using ML algorithms and employs several ML
Bavarder sur Internet
Machine learning-based compressive strength prediction
2020年1月10日 A total of 1030 sets of concrete compressive strength tests are collected, and the mixture contents and curing time are set as the input data while the compressive strength is set as the output data. ... Machine learning in concrete strength simulations: multi-nation data analytics. Constr. Build. Mater., 73 (2014), pp. 771-780. View PDF View ...
Bavarder sur Internet
Assessing compressive strengths of mortar and concrete
2022年4月23日 Compressive strength is the most important metric of concrete quality. Various nondestructive and semi-destructive tests can be used to evaluate the compressive strength of concrete. In the present study, a new image-based machine learning method is used to predict concrete compressive strength, including evaluation of six different
Bavarder sur Internet
Study on predicting compressive strength of concrete
2023年4月19日 Applying machine learning methods for predicting the mechanical characteristics of concrete, particularly its compressive strength, is a crucial element in shaping the future of civil engineering. The current study uses gradient boosting (GBM) and light gradient boosting (LGBM) supervised machine learning (ML) approaches in the
Bavarder sur Internet
High-Performance Concrete Strength Prediction Based on
2022年3月24日 High-performance concrete is a new high-tech concrete, produced using conventional materials and processes, with all the mechanical properties required for concrete structures, with high durability, high workability, and high volume stability of the concrete. The compressive strength of high-performance concrete has exceeded 200
Bavarder sur Internet
Concrete compressive strength prediction modeling
2021年2月15日 One of the most critical parameters in concrete design is compressive strength. As the compressive strength of concrete is correctly measured, time and cost can be decreased. Concrete strength is relatively resilient to impacts on the environment. The production of concrete compressive strength is greatly influenced by severe weather
Bavarder sur Internet
Predicting the compressive strength of concrete with fly
2021年11月15日 Predicting compressive strength of lightweight foamed concrete using extreme learning machine model Adv. Eng. Softw. , 115 ( 2018 ) , pp. 112 - 125 , 10.1016/j.advengsoft.2017.09.004 View PDF View article View in Scopus Google Scholar
Bavarder sur Internet
Prediction of Concrete Compressive Strength
2019年11月29日 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
Bavarder sur Internet
Factors affecting the results of concrete compression
2021年3月1日 For example, for lower strength concrete, the strengths of 150 × 300 mm and 100 × 200 cylinders are almost the same [115], [122], although some researchers found a difference in compressive strengths even for lower strengths [123]. For higher-strength concrete there is an observed size effect [95], [98], [115].
Bavarder sur Internet
Evaluating compressive strength of concrete made with
2022年3月14日 Finally, this study will fill the gap of literate in estimating the compressive strength of concrete using RCA using the machine learning approach. Thus, it can be indicated that this is the first and novel research to systematically predict the compressive strength of recycled concrete. ... In contrast, the dependence of compressive strength ...
Bavarder sur Internet
Assessment of compressive strength of jet grouting by
2023年4月26日 Compressive strength Machine learning 1. Introduction Nowadays, the land for construction is increasingly scarce, ... presented in concrete, where the compressive strength is dependent on the aggregate quality. This dependence of the UCS value on the soil type is evidenced in several studies (e.g. Modoni et al., 2019; Guler and
Bavarder sur Internet
Assessing compressive strengths of mortar and concrete
2022年4月23日 Compressive strength is the most important metric of concrete quality. Various nondestructive and semi-destructive tests can be used to evaluate the compressive strength of concrete. In the present study, a new image-based machine learning method is used to predict concrete compressive strength, including evaluation of six different
Bavarder sur Internet
Study on predicting compressive strength of concrete
2023年4月19日 Applying machine learning methods for predicting the mechanical characteristics of concrete, particularly its compressive strength, is a crucial element in shaping the future of civil engineering. The current study uses gradient boosting (GBM) and light gradient boosting (LGBM) supervised machine learning (ML) approaches in the
Bavarder sur Internet
Concrete compressive strength prediction modeling
2021年2月15日 One of the most critical parameters in concrete design is compressive strength. As the compressive strength of concrete is correctly measured, time and cost can be decreased. Concrete strength is relatively resilient to impacts on the environment. The production of concrete compressive strength is greatly influenced by severe weather
Bavarder sur Internet
Prediction of concrete strengths enabled by missing data
2022年4月1日 While the 28-day uniaxial compressive strength of concrete ranged from 10.1 to 96.3 MPa, the 28-day splitting tensile strength ranged from 0.6 to 6.9 MPa. ... Predicting concrete's strength by machine learning: balance between accuracy and complexity of algorithms. MJ, 117 (2020), pp. 125-133, 10.14359/51728128. View in
Bavarder sur Internet
Compressive Strength Prediction of High-Strength
2022年3月4日 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
Bavarder sur Internet
Prediction of Concrete Compressive Strength
2019年11月29日 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
Bavarder sur Internet
A comparative investigation using machine learning
2021年6月1日 The concrete compressive strength test is a destructive method that provides precise information about the strength of concrete and is the most common method used in determining concrete strength. Standard 15 cm-cube concrete test specimens were subjected to a compressive strength test after being kept in the cure pool for 7 and 28 days.
Bavarder sur Internet
Machine learning-based compressive strength prediction
2020年1月1日 A total of 1030 sets of concrete compressive strength tests is collected to train and test the learners, in which the concrete mixture components (e.g., coarse/fine aggregates, cement, water ...
Bavarder sur Internet
Predicting Concrete Compressive Strength Using Machine
2022年3月8日 The paper is devoted to prediction of concrete compressive strength depending on its composition using machine learning methods. The use of machine learning improves the accuracy of the prediction of concrete strength and reduces the number of necessary experimental checks when selecting the composition.The approach is
Bavarder sur Internet
Assessment of compressive strength of jet grouting by
2023年4月26日 Compressive strength Machine learning 1. Introduction Nowadays, the land for construction is increasingly scarce, ... presented in concrete, where the compressive strength is dependent on the aggregate quality. This dependence of the UCS value on the soil type is evidenced in several studies (e.g. Modoni et al., 2019; Guler and
Bavarder sur Internet