Compressive strength prediction of machine-made sand concrete based on a Bayesian Optimization-Stacking model

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Case Studies in Construction Materials

• Publication date

  2025-12-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.cscm.2025.e05516
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A hybrid Bayesian model updating and non-dominated sorting genetic algorithm framework for intelligent mix design of steel fiber reinforced concrete

  2025cited by this paper
• Performance-based design of FRP-confined recycled aggregate concrete powered by machine learning techniques

  2025cited by this paper
• Impact of Water–Cement Ratio on Concrete Mechanical Performance: Insights into Energy Evolution and Ultrasonic Wave Velocity

  2024cited by this paper
• Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength

  2024cited by this paper
• An agile, intelligent and scalable framework for mix design optimization of green concrete incorporating recycled aggregates from precast rejects

  2024cited by this paper
• Substantial increase in China’s manufactured sand supply since 2010

  2024cited by this paper
• Advancing building technology: Utilizing recycled brick sand, geopolymer mortars, robotics, computer vision, and sustainable low carbon emission strategies

  2024cited by this paper
• XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate

  2023cited by this paper
• Influence of stone dust content on carbonation performance of manufactured sand concrete (MSC)

  2023cited by this paper
• Experimental study on concrete strength properties by partial replacement of cement with Dolomite Powder & fine aggregate with M sand

  2023cited by this paper
• Feature engineering for predicting compressive strength of high-strength concrete with machine learning models

  2023cited by this paper
• Deep insight into mechanical behaviour and microstructure mechanism of dredged sand in the lower reaches of the Yangtze River and manufactured sand concrete

  2023cited by this paper
• Machine learning-based prediction of concrete strength properties with coconut shell as partial aggregate replacement: A sustainable approach in construction engineering

  2023cited by this paper
• Influence of Flake Particles in Manufactured Sand on the Performance of Cement Mortar and Concrete

  2023cited by this paper
• Research on the green preparation of manufactured sand by tuff produced in Gansu China and its influence on the properties of concrete

  2023cited by this paper
• Research on carbon emission reduction of manufactured sand concrete based on compressive strength

  2023cited by this paper
• Prediction of the concrete compressive strength using improved random forest algorithm

  2023cited by this paper
• The influence of fines in sandstones on the performance of concrete

  2022cited by this paper
• Prediction of concrete strengths enabled by missing data imputation and interpretable machine learning

  2022cited by this paper
• Durability of Manufactured Sand Concrete in Atmospheric Acidification Environment

  2022cited by this paper
• Improving mechanical properties of manufactured sand concrete with high biotite content: Application of magnetic separation process and equipment optimization

  2022cited by this paper
• Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning algorithms

  2022cited by this paper
• Effect of Stone Powder Content on Mechanical Properties of Manufactured Sand Concrete

  2022cited by this paper
• Efficient machine learning models for prediction of concrete strengths

  2021cited by this paper
• Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners

  2021cited by this paper
• Concrete needs to lose its colossal carbon footprint

  2021cited by this paper
• A Bayesian model updating approach applied to mechanical properties of recycled aggregate concrete under uniaxial or triaxial compression

  2021cited by this paper
• Research on the effect of steam curing temperature and duration on the strength of manufactured sand concrete and strength estimation model considering thermal damage

  2021cited by this paper
• Coupled effects of the content and methylene blue value (MBV) of microfines on the performance of manufactured sand concrete

  2020cited by this paper
• Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

  2020cited by this paper
• An ensemble multi-step-ahead forecasting system for fine particulate matter in urban areas

  2020cited by this paper
• Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

  2020cited by this paper
• Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning

  2020cited by this paper
• CatBoost for big data: an interdisciplinary review

  2020cited by this paper
• Utilization of alternative sand for preparation of sustainable mortar: A review

  2020cited by this paper
• CatBoost: unbiased boosting with categorical features

  2017cited by this paper
• Dataset of long-term compressive strength of concrete with manufactured sand

  2016cited by this paper
• XGBoost: A Scalable Tree Boosting System

  2016cited by this paper
• Experimental study on long-term compressive strength of concrete with manufactured sand

  2016cited by this paper
• Long term study of mechanical properties, durability and environmental impact of limestone cement concrete

  2016cited by this paper
• Investigating the effect of M-sand on abrasion resistance of Roller Compacted Concrete containing GGBS

  2016cited by this paper
• Mechanical and fracture characteristics of Eco-friendly concrete produced using coconut shell, ground granulated blast furnace slag and manufactured sand

  2016cited by this paper
• Effects of the lithologic character of manufactured sand on properties of concrete

  2014cited by this paper
• Combining Multiple Learners: Data Fusion and Emsemble Learning

  2014cited by this paper
• Basic Mechanical Properties of Concrete with Machine-Made Sand and Recycled Coarse Aggregate

  2013cited by this paper
• Gradient boosting machines, a tutorial

  2013cited by this paper
• Algorithms for Hyper-Parameter Optimization

  2011cited by this paper
• Effect of limestone fines content in manufactured sand on durability of low- and high-strength concretes

  2009cited by this paper
• Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

  2009cited by this paper
• A working guide to boosted regression trees.

  2008cited by this paper
• Comparison of natural and manufactured fine aggregates in cement mortars

  2007cited by this paper
• Strength development of concrete with rice-husk ash

  2006cited by this paper
• Extremely randomized trees

  2006cited by this paper
• Random Forests

  2001cited by this paper
• Modeling Concrete Strength with Augment-Neuron Networks

  1998cited by this paper
• Standard Practice for Selecting Proportions for Normal , Heavyweight , and Mass Concrete ( ACI 211 . 191 ) Reported by ACI Committee 211

  1997cited by this paper

• Predicting compressive strength of mortars containing recycled CRT glass using GMDH and GEP methods

  2026cites this paper
• Prediction and interpretability of compressive strength in limestone manufactured sand concrete using machine learning and microstructural analysis

  2026cites this paper