Tadesse G. Wakjira 
- (2024): Hybrid machine learning model and predictive equations for compressive stress-strain constitutive modelling of confined ultra-high-performance concrete (UHPC) with normal-strength steel and high-strength steel spirals. In: Engineering Structures, v. 304 (April 2024).
- (2024): Towards net-zero emission: A case study investigating sustainability potential of geopolymer concrete with recycled glass powder and gold mine tailings. In: Journal of Building Engineering, v. 86 (Juni 2024).
- (2024): A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques. In: Construction and Building Materials, v. 416 (Februar 2024).
- (2024): Explainable machine learning-aided efficient prediction model and software tool for bond strength of concrete with corroded reinforcement. In: Structures, v. 59 (Januar 2024).
- (2023): Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings: Experimental and machine learning-based studies. In: Construction and Building Materials, v. 380 (Mai 2023).
- (2023): Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars. In: Composite Structures, v. 305 (Februar 2023).
- (2022): Explainable machine learning based efficient prediction tool for lateral cyclic response of post-tensioned base rocking steel bridge piers. In: Structures, v. 44 (Oktober 2022).
- (2022): Repair and Retrofit of RC Bridge Piers with Steel-Reinforced Grout Jackets: An Experimental Investigation. In: Journal of Bridge Engineering (ASCE), v. 27, n. 8 (August 2022).
- (2022): Shear Capacity Prediction of FRP-RC Beams Using Single and Ensenble ExPlainable Machine Learning Models. In: Composite Structures, v. 287 (Mai 2022).
- (2022): Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM. In: Engineering Structures, v. 255 (März 2022).
- (2021): Plastic hinge length of rectangular RC columns using ensemble machine learning model. In: Engineering Structures, v. 244 (Oktober 2021).
- (2019): A shear design model for RC beams strengthened with fabric reinforced cementitious matrix. In: Engineering Structures, v. 200 (Dezember 2019).
- (2021): Strengthening of reinforced concrete beams in shear using different steel reinforced grout techniques. In: Structural Concrete, v. 22, n. 2 (April 2021).
- (2018): FRCM/internal transverse shear reinforcement interaction in shear strengthened RC beams. In: Composite Structures, v. 201 (Oktober 2018).
- (2020): Fractional factorial design model for seismic performance of RC bridge piers retrofitted with steel-reinforced polymer composites. In: Engineering Structures, v. 221 (Oktober 2020).
- (2020): Shear span-to-depth ratio effect on steel reinforced grout strengthened reinforced concrete beams. In: Engineering Structures, v. 216 (August 2020).
- (2020): Flexural strengthening of reinforced concrete beams using hybrid near-surface embedded/externally bonded fabric-reinforced cementitious matrix. In: Construction and Building Materials, v. 238 (März 2020).
- (2018): Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: Experimental study. In: Construction and Building Materials, v. 164 (März 2018).
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