StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains

Machine learning study of the mechanical properties of concretes containing waste foundry sand

(2020) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

The promise of implementing machine learning in earthquake engineering: A state-of-the-art review

(2020) Yazhou Xie et al.   EARTHQUAKE SPECTRA

PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images

(2020) Yuqing Gao et al.   JOURNAL OF STRUCTURAL ENGINEERING

Efficient machine learning models for prediction of concrete strengths

(2020) Hoang Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming

(2020) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams

(2020) Roya Solhmirzaei et al.   ENGINEERING STRUCTURES

Observational Analysis of Fire-Induced Spalling of Concrete through Ensemble Machine Learning and Surrogate Modeling

(2020) M. Z. Naser   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Machine learning applications for building structural design and performance assessment: State-of-the-art review

(2020) Han Sun et al.   Journal of Building Engineering

Neural networks for predicting shear strength of CFS channels with slotted webs

(2020) Vitaliy V. Degtyarev   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms

(2019) Martin Aumüller et al.   INFORMATION SYSTEMS

AI-based cognitive framework for evaluating response of concrete structures in extreme conditions

(2019) M.Z. Naser   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Concrete under fire: an assessment through intelligent pattern recognition

(2019) M. Z. Naser et al.   ENGINEERING WITH COMPUTERS

Concrete-filled steel tubular columns: Test database, design and calibration

(2019) Son Thai et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures

(2019) Maciej Laszczyk et al.   Swarm and Evolutionary Computation

Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning

(2019) Honglan Huang et al.   Journal of Building Engineering

Heuristic machine cognition to predict fire-induced spalling and fire resistance of concrete structures

(2019) M.Z. Naser   AUTOMATION IN CONSTRUCTION

Prediction of shear strength and behavior of RC beams strengthened with externally bonded FRP sheets using machine learning techniques

(2019) Omar R. Abuodeh et al.   COMPOSITE STRUCTURES

Validation of a numerical method for predicting shear deformation of reinforced concrete beams

(2019) Zheng Huang et al.   ENGINEERING STRUCTURES

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Communication framework for hybrid fire testing: Developments and applications in virtual and real environments

(2019) Ana Sauca et al.   FIRE SAFETY JOURNAL

A new perspective on nature of fire-induced spalling in concrete

(2018) Jin-Cheng Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Finite-element modeling framework for predicting realistic responses of light-frame low-rise buildings under wind loads

(2018) Jing He et al.   ENGINEERING STRUCTURES

Approach for shear capacity evaluation of fire exposed steel and composite beams

(2018) V.K.R. Kodur et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Improved Seismic Design and Nonlinear Modeling Recommendations for Wide-Flange Steel Columns

(2018) Ahmed Elkady et al.   JOURNAL OF STRUCTURAL ENGINEERING

Sample size for binary logistic prediction models: Beyond events per variable criteria

(2018) Maarten van Smeden et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Finite element analysis of large diameter high strength octagonal CFST short columns

(2018) M.F. Hassanein et al.   THIN-WALLED STRUCTURES

Numerical simulations on cold-formed steel channels with longitudinally stiffened slotted webs in shear

(2018) Vitaliy V. Degtyarev et al.   THIN-WALLED STRUCTURES

MoleculeNet: a benchmark for molecular machine learning

(2018) Zhenqin Wu et al.   Chemical Science

Improved Seismic Design and Nonlinear Modeling Recommendations for Wide-Flange Steel Columns

(2018) Ahmed Elkady et al.   JOURNAL OF STRUCTURAL ENGINEERING

An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise

(2018) D. Berrar   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Machine learning for image based species identification

(2018) Jana Wäldchen et al.   Methods in Ecology and Evolution

Deriving temperature-dependent material models for structural steel through artificial intelligence

(2018) M.Z. Naser   CONSTRUCTION AND BUILDING MATERIALS

Low-cycle fatigue behaviour of reinforcing bars including the effect of inelastic buckling

(2018) Mayank Tripathi et al.   CONSTRUCTION AND BUILDING MATERIALS

Multi-scale modelling of rolling shear failure in cross-laminated timber structures by homogenisation and cohesive zone models

(2016) E.I. Saavedra Flores et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Finite element analysis of strengthened RC beams in shear with aluminum plates

(2015) A. Abu-Obeidah et al.   COMPUTERS & STRUCTURES

Influence of inelastic buckling on low-cycle fatigue degradation of reinforcing bars

(2015) Mohammad M. Kashani et al.   CONSTRUCTION AND BUILDING MATERIALS

Structural Behavior of SRC Beam-to-Column Joints Subjected to Simulated Fire Including Cooling Phase

(2015) Tian-Yi Song et al.   JOURNAL OF STRUCTURAL ENGINEERING

Structural Behavior of SRC Beam-to-Column Joints Subjected to Simulated Fire Including Cooling Phase

(2015) Tian-Yi Song et al.   JOURNAL OF STRUCTURAL ENGINEERING

Machine learning in concrete strength simulations: Multi-nation data analytics

(2014) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial Neural Network Predictions of Fatigue Life of Steel Bars Based on Hysteretic Energy

(2013) Jamal A. Abdalla et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

On measuring the performance of binary classifiers

(2012) Charles Parker   KNOWLEDGE AND INFORMATION SYSTEMS

Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

(2011) Amir Hossein Alavi et al.   COMPUTERS & STRUCTURES

Effect of bond degradation on fire resistance of FRP-strengthened reinforced concrete beams

(2010) A. Ahmed et al.   COMPOSITES PART B-ENGINEERING

Low-cycle fatigue life behaviour of BS 460B and BS B500B steel reinforcing bars

(2010) R. A. HAWILEH et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Multi expression programming: a new approach to formulation of soil classification

(2009) Amir Hossein Alavi et al.   ENGINEERING WITH COMPUTERS

Energy-based prediction of low-cycle fatigue life of BS 460B and BS B500B steel bars

(2009) J.A. Abdalla et al.   MATERIALS & DESIGN