Tadesse G. Wakjira
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Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: Experimental study
TG Wakjira, U Ebead
Construction and Building Materials 164, 164-177, 2018
Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
TG Wakjira, M Ibrahim, U Ebead, MS Alam
Engineering Structures 255, 113903, 2022
Urban resilience and livability performance of European smart cities: A novel machine learning approach
AA Kutty, TG Wakjira, M Kucukvar, GM Abdella, NC Onat
Journal of Cleaner Production 378, 134203, 2022
Shear strengthening of reinforced concrete deep beams using near-surface mounted hybrid carbon/glass fibre reinforced polymer strips
M Ibrahim, T Wakjira, U Ebead
Engineering Structures 210, 110412, 2020
Internal transverse reinforcement configuration effect of EB/NSE-FRCM shear strengthening of RC deep beams
TG Wakjira, U Ebead
Composites Part B: Engineering 166, 758-772, 2019
FRCM/internal transverse shear reinforcement interaction in shear strengthened RC beams
TG Wakjira, U Ebead
Composite Structures 201, 326-339, 2018
Analysis of road traffic crashes in the State of Qatar
C Timmermans, W Alhajyaseen, A Al Mamun, T Wakjira, M Qasem, ...
International journal of injury control and safety promotion 26 (3), 242-250, 2019
Shear Capacity Prediction of FRP-RC Beams Using Single and Ensemble ExPlainable Machine Learning Models
TG Wakjira, A Al-Hamrani, U Ebead, W Alnahhal
Composite Structures, 115381, 2022
Plastic hinge length of rectangular RC columns using ensemble machine learning model
TG Wakjira, MS Alam, U Ebead
Engineering Structures 244, 112808, 2021
Machine learning-based shear capacity prediction and reliability analysis of shear-critical RC beams strengthened with inorganic composites
TG Wakjira, U Ebead, MS Alam
Case Studies in Construction Materials 16, e01008, 2022
Experimental and analytical study on strengthening of reinforced concrete T-beams in shear using steel reinforced grout (SRG)
TG Wakjira, U Ebead
Composites Part B: Engineering 177, 107368, 2019
A shear design model for RC beams strengthened with fabric reinforced cementitious matrix
TG Wakjira, U Ebead
Engineering Structures 200, 109698, 2019
Explainable machine learning based efficient prediction tool for lateral cyclic response of post-tensioned base rocking steel bridge piers
TG Wakjira, A Rahmzadeh, MS Alam, R Tremblay
Structures 44, 947-964, 2022
Flexural strengthening of reinforced concrete beams using hybrid near-surface embedded/externally bonded fabric-reinforced cementitious matrix
HE El-Sherif, TG Wakjira, U Ebead
Construction and Building Materials 238, 117748, 2020
FAI: Fast, accurate, and intelligent approach and prediction tool for flexural capacity of FRP-RC beams based on super-learner machine learning model
TG Wakjira, A Abushanab, U Ebead, W Alnahhal
Materials Today Communications 33, 104461, 2022
Shear span-to-depth ratio effect on steel reinforced grout strengthened reinforced concrete beams
TG Wakjira, U Ebead
Engineering Structures 216, 110737, 2020
Repair and retrofit of RC bridge piers with steel-reinforced grout jackets: An experimental investigation
RCS Kennedy-Kuiper, TG Wakjira, MS Alam
Journal of Bridge Engineering 27 (8), 04022067, 2022
Fractional factorial design model for seismic performance of RC bridge piers retrofitted with steel-reinforced polymer composites
TG Wakjira, ML Nehdi, U Ebead
Engineering Structures 221, 111100, 2020
Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings …
S Al Martini, R Sabouni, A Khartabil, TG Wakjira, MS Alam
Construction and Building Materials 380, 131278, 2023
Strengthening of reinforced concrete beams in shear using different steel reinforced grout techniques
TG Wakjira, U Ebead
Structural Concrete 22 (2), 1113-1127, 2021
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