Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs

A practical ANN model for predicting the PSS of two-way reinforced concrete slabs

(2020) Viet-Linh Tran et al.   ENGINEERING WITH COMPUTERS

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

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

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

Failure risk analysis of pipelines using data-driven machine learning algorithms

(2020) Ram K. Mazumder et al.   STRUCTURAL SAFETY

Failure analysis of punching in reinforced concrete flat slabs with openings adjacent to the column

(2019) Elyson A.P. Liberati et al.   ENGINEERING STRUCTURES

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

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

Xgboost application on bridge management systems for proactive damage estimation

(2019) Soram Lim et al.   ADVANCED ENGINEERING INFORMATICS

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

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

Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks

(2018) Konstantinos Morfidis et al.   ENGINEERING STRUCTURES

A punching shear mechanical model for reinforced concrete flat slabs with and without shear reinforcement

(2018) Antonio Marí et al.   ENGINEERING STRUCTURES

Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks

(2018) H. Naderpour et al.   MEASUREMENT

Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network

(2018) E.K. Onyari et al.   CONSTRUCTION AND BUILDING MATERIALS

A new empirical formula for prediction of fracture energy of concrete based on the artificial neural network

(2017) Iman M. Nikbin et al.   ENGINEERING FRACTURE MECHANICS

Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability

(2017) Panatchai Chetchotisak et al.   KSCE Journal of Civil Engineering

Failure assessment of flat slab-to-column members

(2016) Andrei V. Gosav et al.   MAGAZINE OF CONCRETE RESEARCH

Punching shear strength of RC flat slabs at interior connections to columns

(2016) Dan V. Bompa et al.   MAGAZINE OF CONCRETE RESEARCH

Prediction of punching shear strength of two-way slabs using artificial neural network and adaptive neuro-fuzzy inference system

(2016) Hamed Akbarpour et al.   NEURAL COMPUTING & APPLICATIONS

Load-resisting mechanism to mitigate progressive collapse of flat slab structures

(2015) Kai Qian et al.   MAGAZINE OF CONCRETE RESEARCH

Prediction of punching shear strength of HSC interior slab-column connections

(2013) Hussein M. Elsanadedy et al.   KSCE Journal of Civil Engineering

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

(2013) K. Gnana Sheela et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Viscoplastic regularization of local damage models: revisited

(2012) M. S. Niazi et al.   COMPUTATIONAL MECHANICS

Real-time Seismic Damage Detection of Concrete Shear Walls Using Artificial Neural Networks

(2012) Mohammadreza Vafaei et al.   JOURNAL OF EARTHQUAKE ENGINEERING

Prediction of punching shear strength of two-way slabs

(2011) Ahmed A. Elshafey et al.   ENGINEERING STRUCTURES

Prediction of the moment capacity of reinforced concrete slabs in fire using artificial neural networks

(2009) Hakan Erdem   ADVANCES IN ENGINEERING SOFTWARE