Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
出版年份 2019 全文链接
标题
Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
作者
关键词
-
出版物
Materials
Volume 12, Issue 10, Pages 1670
出版商
MDPI AG
发表日期
2019-05-23
DOI
10.3390/ma12101670
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。- Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning
- (2019) Xiang Li et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
- (2019) Dong Dao et al. Materials
- Quantifying uncertainties in contact mechanics of rough surfaces using the multilevel Monte Carlo method
- (2019) V. Rey et al. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
- Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees
- (2019) Ly et al. Materials
- Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
- (2019) Dong Dao et al. Applied Sciences-Basel
- Fatigue damage effect approach by artificial neural network
- (2019) Moises Jimenez-Martinez et al. INTERNATIONAL JOURNAL OF FATIGUE
- Buckling optimization of composite cylinders for axial compression: A design methodology considering a variable-axial fiber layout
- (2019) José Humberto S. Almeida et al. COMPOSITE STRUCTURES
- Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
- (2019) Binh Thai Pham et al. SCIENCE OF THE TOTAL ENVIRONMENT
- On the effectiveness of Monte Carlo for initial uncertainty forecasting in nonlinear dynamical systems
- (2018) Chao Yang et al. AUTOMATICA
- Buckling and post-buckling of filament wound composite tubes under axial compression: Linear, nonlinear, damage and experimental analyses
- (2018) José Humberto S. Almeida et al. COMPOSITES PART B-ENGINEERING
- A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
- (2018) Dac-Khuong Bui et al. CONSTRUCTION AND BUILDING MATERIALS
- Structural behaviour of slender columns of high strength S690 steel welded H-sections under compression
- (2018) Tian-Yu Ma et al. ENGINEERING STRUCTURES
- Snap buckling of NiTi tubes
- (2018) A.R. Damanpack et al. INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
- Load bearing capacity of welded Q460GJ steel H-columns under eccentric compression
- (2018) Bo Yang et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks
- (2018) H. Naderpour et al. MEASUREMENT
- A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials
- (2018) Zeliang Liu et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Detecting damage in steel beams using modal strain energy based damage index and Artificial Neural Network
- (2017) Z.X. Tan et al. ENGINEERING FAILURE ANALYSIS
- Artificial neural network prediction of buckling load of thin cylindrical shells under axial compression
- (2017) Zia ul Rehman Tahir et al. ENGINEERING STRUCTURES
- Buckling behavior of 420 MPa HSSY columns: Test investigation and design approach
- (2017) Xianglin Yu et al. ENGINEERING STRUCTURES
- Artificial neural network to predict the degraded mechanical properties of metallic materials due to the presence of hydrogen
- (2017) Titus Thankachan et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection
- (2017) Khairul H. Padil et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Particle swarm optimization algorithm: an overview
- (2017) Dongshu Wang et al. SOFT COMPUTING
- Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
- (2017) T. Chandra Sekhara Reddy Frontiers of Structural and Civil Engineering
- Data-driven computational mechanics
- (2016) T. Kirchdoerfer et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
- (2016) T.T. Le et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures
- (2016) R. Capillon et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Buckling and recovery of NiTi tubes under axial compression
- (2016) Dongjie Jiang et al. INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
- Local buckling behavior of welded stub columns with normal and high strength steels
- (2016) Gang Shi et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- The Monte Carlo Method for evaluating measurement uncertainty: Application for determining the properties of materials
- (2016) H.B. Motra et al. PROBABILISTIC ENGINEERING MECHANICS
- Buckling load prediction of laminated composite stiffened panels subjected to in-plane shear using artificial neural networks
- (2016) Upendra K. Mallela et al. THIN-WALLED STRUCTURES
- Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints
- (2015) Radosław Winiczenko INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Buckling behavior of large-section and 420MPa high-strength angle steel columns
- (2015) Ke Cao et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Neural networks for inelastic distortional buckling capacity assessment of steel I-beams
- (2015) Sajjad Tohidi et al. THIN-WALLED STRUCTURES
- Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load
- (2014) M. Ahmadi et al. Archives of Civil and Mechanical Engineering
- Experimental study on column buckling of 420MPa high strength steel welded circular tubes
- (2014) Gang Shi et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Local buckling of 460MPa high strength steel welded section stub columns under axial compression
- (2014) Gang Shi et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Strength and residual stress evaluation of stub columns fabricated from 800MPa high-strength steel
- (2014) Dae-Kyung Kim et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases
- (2013) J. Guilleminot et al. ACTA MECHANICA SINICA
- Neural networks analysis of compressive strength of lightweight concrete after high temperatures
- (2013) A. Ferhat Bingöl et al. MATERIALS & DESIGN
- Estimation of tensile strength of ductile iron friction welded joints using hybrid intelligent methods
- (2013) Radosław WINICZENKO et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- An approach for estimating the capacity of RC beams strengthened in shear with FRP reinforcements using artificial neural networks
- (2012) H.M. Tanarslan et al. CONSTRUCTION AND BUILDING MATERIALS
- Post-buckling of linearly tapered column made of nonlinear elastic materials obeying the generalized Ludwick constitutive law
- (2012) Wasuroot Saetiew et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Residual Stress Tests of High-Strength Steel Equal Angles
- (2012) Huiyong Ban et al. JOURNAL OF STRUCTURAL ENGINEERING
- Comparison of ANFIS and NN models—With a study in critical buckling load estimation
- (2011) Mahmut Bilgehan APPLIED SOFT COMPUTING
- A neural network based closed-form solution for the distortional buckling of elliptical tubes
- (2011) J.L.R. Dias et al. ENGINEERING STRUCTURES
- Prediction of the ultimate strength of reinforced concrete beams FRP-strengthened in shear using neural networks
- (2010) R. Perera et al. COMPOSITES PART B-ENGINEERING
- Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
- (2009) Fatih Özcan et al. ADVANCES IN ENGINEERING SOFTWARE
- An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
- (2009) A. Azadeh et al. ENERGY POLICY
- A Survey of Particle Swarm Optimization Applications in Electric Power Systems
- (2009) M.R. AlRashidi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Real-coded genetic algorithm for system identification and controller tuning
- (2008) K. Valarmathi et al. APPLIED MATHEMATICAL MODELLING
- Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN
- (2008) B.K. Raghu Prasad et al. CONSTRUCTION AND BUILDING MATERIALS
- Semi-exact solutions for large deflections of cantilever beams of non-linear elastic behaviour
- (2008) E. Solano-Carrillo INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
- Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
- (2007) İlker Bekir Topçu et al. COMPUTATIONAL MATERIALS SCIENCE
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