Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements

Predicting wind pressures around circular cylinders using machine learning techniques

(2020) Gang Hu et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Modelling and interpreting pre-evacuation decision-making using machine learning

(2020) Xilei Zhao et al.   AUTOMATION IN CONSTRUCTION

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

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

(2020) De-Cheng Feng et al.   ADVANCED ENGINEERING INFORMATICS

Assessment of deep beams with inadequate web reinforcement using strut-and-tie models

(2020) Jarrod Zaborac et al.   ENGINEERING STRUCTURES

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions

(2019) Sujith Mangalathu et al.   International Journal of Disaster Risk Reduction

Reconstructing seismic response demands across multiple tall buildings using kernel‐based machine learning methods

(2019) Han Sun et al.   Structural Control & Health Monitoring

Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques

(2019) Sujith Mangalathu et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

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

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

Classifying Earthquake Damage to Buildings Using Machine Learning

(2019) Sujith Mangalathu et al.   EARTHQUAKE SPECTRA

Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

(2019) Sujith Mangalathu et al.   JOURNAL OF STRUCTURAL ENGINEERING

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls

(2019) Ahmad Siam et al.   Structures

Numerical investigation on load redistribution capacity of flat slab substructures to resist progressive collapse

(2019) Yun-Hao Weng et al.   Journal of Building Engineering

Random Forest based hourly building energy prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

Cracking strut-and-tie model for shear strength evaluation of reinforced concrete deep beams

(2018) Hui Chen et al.   ENGINEERING STRUCTURES

Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes

(2018) Sujith Mangalathu 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

Pattern recognition approach to assess the residual structural capacity of damaged tall buildings

(2018) Yu Zhang et al.   STRUCTURAL SAFETY

Experimental investigation of RC beam-slab substructures against progressive collapse subject to an edge-column-removal scenario

(2017) Xinzheng Lu 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

A Sensor Data Fusion System Based on k-Nearest Neighbor Pattern Classification for Structural Health Monitoring Applications

(2017) Jaime Vitola et al.   SENSORS

Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests

(2016) Jun Ma et al.   APPLIED ENERGY

Modeling of the strut-and-tie parameters of deep beams for shear strength prediction

(2016) Erwin Lim et al.   ENGINEERING STRUCTURES

Experimental investigation of progressive collapse resistance of one-way reinforced concrete beam–slab substructures under a middle-column-removal scenario

(2016) Peiqi Ren et al.   ENGINEERING STRUCTURES

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 shear wall element for nonlinear seismic analysis of super-tall buildings using OpenSees

(2015) Xinzheng Lu et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

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

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

Statistical models for shear strength of RC beam-column joints using machine-learning techniques

(2014) Jong-Su Jeon et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Defect Detection in Reinforced Concrete Using Random Neural Architectures

(2013) J.B. Butcher et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Effective shear stiffness of diagonally cracked reinforced concrete beams

(2013) Zuanfeng Pan et al.   ENGINEERING STRUCTURES

Strength and behavior in shear of reinforced concrete deep beams under dynamic loading conditions

(2013) Satadru Das Adhikary et al.   NUCLEAR ENGINEERING AND DESIGN

Metamodel-based importance sampling for structural reliability analysis

(2013) V. Dubourg et al.   PROBABILISTIC ENGINEERING MECHANICS

Prediction of Splitting Tensile Strength from Cylinder Compressive Strength of Concrete by Support Vector Machine

(2013) Kezhen Yan et al.   Advances in Materials Science and Engineering

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

An improved tie force method for progressive collapse resistance design of reinforced concrete frame structures

(2011) Yi Li et al.   ENGINEERING STRUCTURES