Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm
出版年份 2022 全文链接
标题
Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm
作者
关键词
Basalt fiber, Concrete, Random forest, Compressive strength, Triaxial compression test
出版物
Materials Today Communications
Volume 30, Issue -, Pages 103117
出版商
Elsevier BV
发表日期
2022-01-14
DOI
10.1016/j.mtcomm.2021.103117
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Estimation of the FRP-concrete bond strength with code formulations and machine learning algorithms
- (2021) Bogachan Basaran et al. COMPOSITE STRUCTURES
- Compressive strength prediction models of lightweight aggregate concretes using ultrasonic pulse velocity
- (2021) Yifan Zhang et al. CONSTRUCTION AND BUILDING MATERIALS
- Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
- (2021) Babatunde Abiodun Salami et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine learning model for predicting the crack detection and pattern recognition of geopolymer concrete beams
- (2021) N Aravind et al. CONSTRUCTION AND BUILDING MATERIALS
- Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment
- (2021) Mudassir Iqbal et al. OCEAN ENGINEERING
- Experimental Study on Basic Mechanical Properties of Basalt Fiber Reinforced Concrete
- (2020) Hao Zhou et al. Materials
- Study on mechanical properties of alkali-resistant basalt fiber reinforced concrete
- (2020) Min Li et al. CONSTRUCTION AND BUILDING MATERIALS
- Vibration-Based Seismic Damage States Evaluation for Regional Concrete Beam Bridges Using Random Forest Method
- (2020) Xiaoming Lei et al. Sustainability
- A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)
- (2020) Furqan Farooq et al. Applied Sciences-Basel
- Prediction of chloride diffusivity in concrete using artificial neural network: Modelling and performance evaluation
- (2020) Qing-feng Liu et al. CONSTRUCTION AND BUILDING MATERIALS
- Mechanical properties tests and multiscale numerical simulations for basalt fiber reinforced concrete
- (2019) Xinjian Sun et al. CONSTRUCTION AND BUILDING MATERIALS
- Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression
- (2019) Junfei Zhang et al. CONSTRUCTION AND BUILDING MATERIALS
- A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm
- (2019) Qinghua Han et al. CONSTRUCTION AND BUILDING MATERIALS
- The Effects of Fiber Length and Volume on Material Properties and Crack Resistance of Basalt Fiber Reinforced Concrete (BFRC)
- (2019) Xinzhong Wang et al. Advances in Materials Science and Engineering
- Study on bending damage and failure of basalt fiber reinforced concrete under freeze-thaw cycles
- (2018) Yan-Ru Zhao et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of silica fume and basalt fiber on the mechanical properties and microstructure of magnesium phosphate cement (MPC) mortar
- (2018) Muhammad Riaz Ahmad et al. CONSTRUCTION AND BUILDING MATERIALS
- Nondestructive Inspection of Reinforced Concrete Utility Poles with ISOMAP and Random Forest
- (2018) Saeed Ullah et al. SENSORS
- Mechanical properties of high performance concrete reinforced with basalt fiber and polypropylene fiber
- (2018) Dehong Wang et al. CONSTRUCTION AND BUILDING MATERIALS
- Random forest for ordinal responses: Prediction and variable selection
- (2016) Silke Janitza et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Mechanical and microstructural features of autoclaved aerated concrete reinforced with autoclaved polypropylene, carbon, basalt and glass fiber
- (2015) Zühtü Onur Pehlivanlı et al. CONSTRUCTION AND BUILDING MATERIALS
- Mechanical properties and fracture behavior of basalt and glass fiber reinforced concrete: An experimental study
- (2015) Ahmet B. Kizilkanat et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Experimental Study on Unconfined Compressive Strength of Basalt Fiber Reinforced Clay Soil
- (2015) Lei Gao et al. Advances in Materials Science and Engineering
- Experimental study on the mechanical properties and microstructure of chopped basalt fibre reinforced concrete
- (2014) Chaohua Jiang et al. MATERIALS & DESIGN
- Random forests for genomic data analysis
- (2012) Xi Chen et al. GENOMICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now