Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

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

(2021) De-Cheng Feng et al.   ENGINEERING STRUCTURES

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

(2021) Sujith Mangalathu et al.   Journal of Building Engineering

Predicting load capacity of shear walls using SVR–RSM model

(2021) Behrooz Keshtegar et al.   APPLIED SOFT COMPUTING

Assessment and modeling of the debonding failure of fabric-reinforced cementitious matrix (FRCM) systems

(2021) Ahmed Mandor et al.   COMPOSITE STRUCTURES

Plastic hinge length of rectangular RC columns using ensemble machine learning model

(2021) Tadesse G. Wakjira et al.   ENGINEERING STRUCTURES

Data-driven ultimate conditions prediction and stress-strain model for FRP-confined concrete

(2020) Kejie Jiang et al.   COMPOSITE STRUCTURES

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

(2020) Sujith Mangalathu 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

Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames

(2020) Seong-Hoon Hwang et al.   Journal of Building Engineering

Prediction model of the failure mode of beam-column joints using machine learning methods

(2020) Xiangling Gao et al.   ENGINEERING FAILURE ANALYSIS

Soffit and U-Wrap FRCM Strengthening for Reinforced Concrete Beams

(2019) Usama Ebead et al.   ACI STRUCTURAL JOURNAL

Organic versus inorganic matrix composites for bond-critical strengthening applications of RC structures – State-of-the-art review

(2019) Hussein M. Elsanadedy et al.   COMPOSITES PART B-ENGINEERING

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

(2019) Jui-Sheng Chou et al.   SOFT COMPUTING

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

Classifying Earthquake Damage to Buildings Using Machine Learning

(2019) Sujith Mangalathu et al.   EARTHQUAKE SPECTRA

Flexural strengthening of reinforced concrete beams using hybrid near-surface embedded/externally bonded fabric-reinforced cementitious matrix

(2019) HossamEldin El-Sherif et al.   CONSTRUCTION AND BUILDING MATERIALS

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Design provisions for FRCM systems bonded to concrete and masonry elements

(2018) F. Ceroni et al.   COMPOSITES PART B-ENGINEERING

Flexural behaviour of RC members strengthened with FRCM: State-of-the-art and predictive formulas

(2018) Francesco Bencardino et al.   COMPOSITES PART B-ENGINEERING

Post-repair flexural performance of corrosion-damaged beams rehabilitated with fabric-reinforced cementitious matrix (FRCM)

(2018) Mohammed Elghazy et al.   CONSTRUCTION AND BUILDING MATERIALS

Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: Experimental study

(2018) Tadesse G. Wakjira et al.   CONSTRUCTION AND BUILDING MATERIALS

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

State-of-the-art on strengthening of masonry structures with textile reinforced mortar (TRM)

(2018) Leonidas Alexandros S. Kouris et al.   CONSTRUCTION AND BUILDING MATERIALS

Corrosion-Damaged RC Beams Repaired with Fabric-Reinforced Cementitious Matrix

(2018) Mohammed Elghazy et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Out-of-Plane Strengthening of Masonry-Infilled RC Frames with Textile-Reinforced Mortar Jackets

(2018) Lampros N. Koutas et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Strengthening of Concrete Structures with Textile Reinforced Mortars: State-of-the-Art Review

(2018) Lampros N. Koutas et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Performance of FRCM-Strengthened RC Beams Subject to Fatigue

(2017) Vanessa Pino et al.   Journal of Bridge Engineering

Flexural Strengthening of Two-Way RC Slabs with Textile-Reinforced Mortar: Experimental Investigation and Design Equations

(2017) Lampros N. Koutas et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Effectiveness of Fabric-Reinforced Cementitious Matrix in Strengthening Reinforced Concrete Beams

(2017) Usama Ebead et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Flexural behavior of RC beams strengthened with steel-FRCM composite

(2016) Lesley H. Sneed et al.   ENGINEERING STRUCTURES

Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression

(2016) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Structural behaviour of fabric reinforced cementitious matrix (FRCM) strengthened concrete columns under eccentric loading

(2015) Luciano Ombres et al.   COMPOSITES PART B-ENGINEERING

Mechanical properties and debonding strength of Fabric Reinforced Cementitious Matrix (FRCM) systems for masonry strengthening

(2015) Francesca Giulia Carozzi et al.   COMPOSITES PART B-ENGINEERING

Carbon-FRCM materials for structural upgrade of masonry arch road bridges

(2015) Angelo D'Ambrisi et al.   COMPOSITES PART B-ENGINEERING

Reinforced concrete beams strengthened with SRP/SRG systems: Experimental investigation

(2015) Annalisa Napoli et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of Flexural Capacity of RC Beams Strengthened in Flexure with FRP Fabric and Cementitious Matrix

(2015) Kyusan Jung et al.   International Journal of Polymer Science

Application of artificial intelligence techniques to predict the performance of RC beams shear strengthened with NSM FRP rods. Formulation of design equations

(2014) Ricardo Perera et al.   COMPOSITES PART B-ENGINEERING

Flexural Strengthening of RC Beams with an Externally Bonded Fabric-Reinforced Cementitious Matrix

(2014) Saman Babaeidarabad et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Kernel ridge regression using truncated newton method

(2014) Maher Maalouf et al.   KNOWLEDGE-BASED SYSTEMS

Concrete confinement with a cement based high strength composite material

(2013) Luciano Ombres   COMPOSITE STRUCTURES

Experimental behaviour of existing precast prestressed reinforced concrete elements strengthened with cementitious composites

(2013) Carlo Pellegrino et al.   COMPOSITES PART B-ENGINEERING

Flexural strengthening of RC beams using textile reinforced mortar – Experimental and numerical study

(2012) Hussein M. Elsanadedy et al.   COMPOSITE STRUCTURES

Strength enhancement modeling of concrete cylinders confined with CFRP composites using artificial neural networks

(2012) Mostafa Jalal et al.   COMPOSITES PART B-ENGINEERING

Use of geopolymers for composite external reinforcement of RC members

(2012) Costantino Menna et al.   COMPOSITES PART B-ENGINEERING

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

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network

(2012) J. Amani et al.   Scientia Iranica

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Flexural analysis of reinforced concrete beams strengthened with a cement based high strength composite material

(2011) Luciano Ombres   COMPOSITE STRUCTURES

Prediction of strength parameters of FRP-confined concrete

(2011) H.M. Elsanadedy et al.   COMPOSITES PART B-ENGINEERING

Experimental and finite element analysis of flexural behavior of FRP-strengthened RC beams using cement-based adhesives

(2011) S. Hashemi et al.   CONSTRUCTION AND BUILDING MATERIALS

Flexural Strengthening of RC Beams with Cement-Based Composites

(2011) Angelo D’Ambrisi et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Predicting of torsional strength of RC beams by using different artificial neural network algorithms and building codes

(2010) M. Hakan Arslan   ADVANCES IN ENGINEERING SOFTWARE

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement

(2009) Ricardo Perera et al.   COMPOSITE STRUCTURES

Towards the next generation of artificial neural networks for civil engineering

(2008) Ian Flood   ADVANCED ENGINEERING INFORMATICS

Evaluating and Proposing Models of Predicting IC Debonding Failure

(2008) Hemdan Said et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Prediction of elastic modulus of normal and high strength concrete by artificial neural networks

(2007) Fuat Demir   CONSTRUCTION AND BUILDING MATERIALS