Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement

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

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

Application of pool-based active learning in reducing the number of required response history analyses

(2020) Jalal Kiani et al.   COMPUTERS & STRUCTURES

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

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

On the application of machine learning techniques to derive seismic fragility curves

(2019) Jalal Kiani et al.   COMPUTERS & STRUCTURES

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

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

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

Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

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

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Skew Adjustment Factors for Fragilities of California Box-Girder Bridges Subjected to near-Fault and Far-Field Ground Motions

(2018) Sujith Mangalathu et al.   Journal of Bridge Engineering

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

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

Punching Shear Capacity of Continuous Slabs

(2016) Jürgen Einpaul et al.   ACI STRUCTURAL JOURNAL

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

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

Use of response surface metamodels to generate system level fragilities for existing curved steel bridges

(2013) Junwon Seo et al.   ENGINEERING STRUCTURES

Metamodel-based regional vulnerability estimate of irregular steel moment-frame structures subjected to earthquake events

(2012) Junwon Seo et al.   ENGINEERING STRUCTURES

Prediction of punching shear strength of two-way slabs

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