Rawaz Kurda 
- : Predictive modeling of compressive strength in silica fume‐modified self‐compacted concrete: A soft computing approach. Dans: Structural Concrete.
- (2014): Optimizing the Performance of Green Concrete Using Nonconventional Recycled Materials. Dans: (2024): Sustainability in Structural Concrete Design. International Association for Bridge and Structural Engineering, Zurich (Suisse), ISBN 978-3-85748-201-4.
- (2024): An agile, intelligent and scalable framework for mix design optimization of green concrete incorporating recycled aggregates from precast rejects. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): A sustainable treatment method to use municipal solid waste incinerator bottom ash as cement replacement. Dans: Construction and Building Materials, v. 423 (avril 2024).
- (2023): Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete. Dans: Construction and Building Materials, v. 400 (octobre 2023).
- (2024): Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 3 (mars 2024).
- (2022): Modified Artificial Neural Networks and Support Vector Regression to Predict Lateral Pressure Exerted by Fresh Concrete on Formwork. Dans: International Journal of Concrete Structures and Materials, v. 16, n. 1 (décembre 2022).
- (2023): Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete. Dans: Journal of Building Engineering, v. 74 (septembre 2023).
- (2022): Investigation of physical, strength, and ductility characteristics of concrete reinforced with banana (Musaceae) stem fiber. Dans: Journal of Building Engineering, v. 61 (décembre 2022).
- (2022): Prediction of concrete materials compressive strength using surrogate models. Dans: Structures, v. 46 (décembre 2022).
- (2023): Multifunctional computational models to predict the long‐term compressive strength of concrete incorporated with waste steel slag. Dans: Structural Concrete, v. 24, n. 2 (avril 2023).
- (2022): Pre-bcc: A novel integrated machine learning framework for predicting mechanical and durability properties of blended cement concrete. Dans: Construction and Building Materials, v. 352 (octobre 2022).
- (2022): Metamodel techniques to estimate the compressive strength of UHPFRC using various mix proportions and a high range of curing temperatures. Dans: Construction and Building Materials, v. 349 (septembre 2022).
- (2022): Effect of type and volume fraction of recycled-tire steel fiber on durability and mechanical properties of concrete. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 5 (août 2022).
- (2022): Mix design of concrete: Advanced particle packing model by developing and combining multiple frameworks. Dans: Construction and Building Materials, v. 320 (février 2022).
- (2022): Electrical resistivity-Compressive strength predictions for normal strength concrete with waste steel slag as a coarse aggregate replacement using various analytical models. Dans: Construction and Building Materials, v. 327 (avril 2022).
- (2021): Stress-stain behavior, elastic modulus, and toughness of the soilcrete modified with powder polymers. Dans: Construction and Building Materials, v. 295 (août 2021).
- (2021): Assessing the sustainability potential of alkali-activated concrete from electric arc furnace slag using the ECO2 framework. Dans: Construction and Building Materials, v. 281 (avril 2021).
- (2021): Nonlinear models to predict stress versus strain of early age strength of flowable ordinary Portland cement. Dans: European Journal of Environmental and Civil Engineering, v. 26, n. 16 (décembre 2021).
- (2022): Experimental investigation of eco-friendly high strength fiber-reinforced concrete developed with combined incorporation of tyre-steel fiber and fly ash. Dans: Construction and Building Materials, v. 314 (janvier 2022).
- (2021): Forecasting the mechanical properties of soilcrete using various simulation approaches. Dans: Structures, v. 34 (décembre 2021).
- (2022): Comparison Between Two Nonlinear Models to Predict the Stress–Strain Behavior, Modulus of Elasticity, and Toughness of the Flowable Cement Paste. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 3 (avril 2022).
- (2021): Experimental study using ASTM and BS standards and model evaluations to predict the compressive strength of the cement grouted sands modified with polymer. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021).
- (2020): Behaviour of RC beams strengthened with FRP strips under combined action of torsion and bending. Dans: European Journal of Environmental and Civil Engineering, v. 26, n. 9 (décembre 2020).
- (2021): Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times. Dans: Journal of Building Engineering, v. 33 (janvier 2021).
- (2020): A comparative study of the mechanical and life cycle assessment of high-content fly ash and recycled aggregates concrete. Dans: Journal of Building Engineering, v. 29 (mai 2020).
- (2017): Combined influence of recycled concrete aggregates and high contents of fly ash on concrete properties. Dans: Construction and Building Materials, v. 157 (décembre 2017).
- (2018): Indirect evaluation of the compressive strength of recycled aggregate concrete with high fly ash ratios. Dans: Magazine of Concrete Research, v. 70, n. 4 (février 2018).
Structurae coopère avec
