Predicting Flexural Capacity of Ultrahigh-Performance Concrete Beams: Machine Learning–Based Approach
出版年份 2022 全文链接
标题
Predicting Flexural Capacity of Ultrahigh-Performance Concrete Beams: Machine Learning–Based Approach
作者
关键词
-
出版物
JOURNAL OF STRUCTURAL ENGINEERING
Volume 148, Issue 5, Pages -
出版商
American Society of Civil Engineers (ASCE)
发表日期
2022-02-24
DOI
10.1061/(asce)st.1943-541x.0003320
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Ultimate shear response of ultra-high-performance steel fibre-reinforced concrete elements
- (2020) C. Ţibea et al. Archives of Civil and Mechanical Engineering
- Impact of Reinforcement Ratio on Shear Behavior of I-Shaped UHPC Beams with and without Fiber Shear Reinforcement
- (2020) Altug Yavas et al. Materials
- Experimental investigation on flexural cracking behavior of ultrahigh performance concrete beams
- (2020) Minghong Qiu et al. Structural Concrete
- Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams
- (2020) Hai-Bang Ly et al. Sustainability
- Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression
- (2020) Junfei Zhang et al. NEURAL COMPUTING & APPLICATIONS
- Genetic programming in civil engineering: advent, applications and future trends
- (2020) Qianyun Zhang et al. ARTIFICIAL INTELLIGENCE REVIEW
- Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams
- (2020) Roya Solhmirzaei et al. ENGINEERING STRUCTURES
- Effective fiber type investigation on the shear behavior of ultrahigh-performance fiber-reinforced concrete beams
- (2019) Altuğ Yavaş et al. ADVANCES IN STRUCTURAL ENGINEERING
- Probabilistic hurricane risk analysis of coastal bridges incorporating extreme wave statistics
- (2019) Arash Saeidpour et al. ENGINEERING STRUCTURES
- Shear strength of fiber-reinforced high-strength steel ultra-high-performance concrete beams based on refined calculation of compression zone depth considering concrete tension
- (2019) Jianan Qi et al. ADVANCES IN STRUCTURAL ENGINEERING
- A comparative study of flexural and shear behavior of ultra-high-performance fiber-reinforced concrete beams
- (2019) Masoud Pourbaba et al. ADVANCES IN STRUCTURAL ENGINEERING
- Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression
- (2019) Junbo Sun et al. CONSTRUCTION AND BUILDING MATERIALS
- Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model
- (2019) Nhat-Duc Hoang et al. NEURAL COMPUTING & APPLICATIONS
- Shear capacity of reactive-powder-concrete beams using high-strength steel reinforcement
- (2019) Xia Cao et al. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
- Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN)
- (2019) Jong Yil Park et al. Applied Sciences-Basel
- Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy variations
- (2019) Hadi Salehi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals
- (2019) Hadi Salehi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Steel Fiber Use as Shear Reinforcement on I-Shaped UHP-FRC Beams
- (2019) Umut Hasgul et al. Applied Sciences-Basel
- Shear behavior of ultra-high performance concrete
- (2018) Masoud Pourbaba et al. CONSTRUCTION AND BUILDING MATERIALS
- A comparison of existing analytical methods to predict the flexural capacity of Ultra High Performance Concrete (UHPC) beams
- (2018) Mohamadreza Shafieifar et al. CONSTRUCTION AND BUILDING MATERIALS
- Minimum shear reinforcement for ultra-high performance fiber reinforced concrete deep beams
- (2018) Ahmed M. Yousef et al. CONSTRUCTION AND BUILDING MATERIALS
- Emerging artificial intelligence methods in structural engineering
- (2018) Hadi Salehi et al. ENGINEERING STRUCTURES
- Machine Learning–Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals
- (2018) Huan Luo et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Flexural behavior of ultra-high-performance fiber reinforced concrete beams with low and high reinforcement ratios
- (2018) Umut Hasgul et al. Structural Concrete
- Analysis of flexural and shear resistance of ultra high performance fiber reinforced concrete beams without stirrups
- (2018) Venkatesh Kodur et al. ENGINEERING STRUCTURES
- Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach
- (2018) Hadi Salehi et al. Structural Control & Health Monitoring
- Hybrid Fibres as Shear Reinforcement in High-Performance Concrete Beams with and without Openings
- (2018) Piotr Smarzewski Applied Sciences-Basel
- Localized damage identification in plate-like structures using self-powered sensor data: A pattern recognition strategy
- (2018) H. Salehi et al. MEASUREMENT
- An algorithmic framework for reconstruction of time-delayed and incomplete binary signals from an energy-lean structural health monitoring system
- (2018) Hadi Salehi et al. ENGINEERING STRUCTURES
- Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection
- (2017) Guoqing Gui et al. KSCE Journal of Civil Engineering
- Flexural behavior of rebar reinforced ultra-high performance concrete beams
- (2017) Shiming Chen et al. MAGAZINE OF CONCRETE RESEARCH
- Numerical investigation of the shear behavior of reinforced ultra-high-performance concrete beams
- (2017) Sifatullah Bahij et al. Structural Concrete
- Structural performance of ultra-high-performance fiber-reinforced concrete beams
- (2017) Charles Kahanji et al. Structural Concrete
- Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete
- (2016) Behzad Abounia Omran et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- A Review on Structural Behavior, Design, and Application of Ultra-High-Performance Fiber-Reinforced Concrete
- (2016) Doo-Yeol Yoo et al. International Journal of Concrete Structures and Materials
- Structural performance of ultra-high-performance concrete beams with different steel fibers
- (2015) Doo-Yeol Yoo et al. ENGINEERING STRUCTURES
- Finite element modelling of the biaxial behaviour of high-performance fibre-reinforced cement composites (HPFRCC) using Concrete Damaged Plasticity
- (2015) Tine Tysmans et al. FINITE ELEMENTS IN ANALYSIS AND DESIGN
- Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
- (2014) Amir H. Gandomi et al. APPLIED SOFT COMPUTING
- Effect of fiber length and placement method on flexural behavior, tension-softening curve, and fiber distribution characteristics of UHPFRC
- (2014) Doo-Yeol Yoo et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of fiber content on mechanical and fracture properties of ultra high performance fiber reinforced cementitious composites
- (2013) Doo-Yeol Yoo et al. COMPOSITE STRUCTURES
- Defect Detection in Reinforced Concrete Using Random Neural Architectures
- (2013) J.B. Butcher et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Experimental and numerical studies of size effects of Ultra High Performance Steel Fibre Reinforced Concrete (UHPFRC) beams
- (2013) Goran H. Mahmud et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks
- (2012) Adriana Trocoli Abdon Dantas et al. CONSTRUCTION AND BUILDING MATERIALS
- Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams
- (2012) P. Yuvaraj et al. ENGINEERING FRACTURE MECHANICS
- Support vector regression based shear strength modelling of deep beams
- (2011) Mahesh Pal et al. COMPUTERS & STRUCTURES
- Modeling Structural Performance of Second-Generation Ultrahigh-Performance Concrete Pi-Girders
- (2011) Linfeng Chen et al. Journal of Bridge Engineering
- Modeling Structural Performance of Ultrahigh Performance Concrete I-Girders
- (2011) Linfeng Chen et al. Journal of Bridge Engineering
- Flexural response predictions for ultra-high-performance fibre-reinforced concrete beams
- (2011) In-Hwan Yang et al. MAGAZINE OF CONCRETE RESEARCH
- A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of elastic modulus of normal and high strength concrete by support vector machine
- (2010) Kezhen Yan et al. CONSTRUCTION AND BUILDING MATERIALS
- Structural behavior of ultra high performance concrete beams subjected to bending
- (2010) In Hwan Yang et al. ENGINEERING STRUCTURES
- Strain-hardening UHP-FRC with low fiber contents
- (2010) Kay Wille et al. MATERIALS AND STRUCTURES
- Flexural Behavior of an Ultrahigh-Performance Concrete I-Girder
- (2008) Benjamin A. Graybeal Journal of Bridge Engineering
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