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نام مجله: Case Studies in Construction Materials


موارد یافت شده: 9

1 - A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concrete (چکیده)
2 - Rehabilitation of reinforced concrete beam: Sustainable restoration mortar with waste materials (چکیده)
3 - Multi-output machine learning for predicting the mechanical properties of BFRC (چکیده)
4 - Laboratory investigation on the fracture toughness (Mode I) and durability properties of eco-friendly cement emulsified asphalt mortar (CRTS II) exposed to acid attack (چکیده)
5 - Improving composite cable performance: Nonlinear thermo-elastic analysis with temperature-dependent pretension and 3D cable elements (چکیده)
6 - The effect of recycled-tire steel fiber and engineered steel fiber on rebar corrosion and shear behavior of corroded RC beam (چکیده)
7 - Unveiling the potential of an evolutionary approach for accurate compressive strength prediction of engineered cementitious composites (چکیده)
8 - The pros and cons of using calcium lignosulfonate as a recycled anti-aging additive on engineering properties of bituminous mastics (چکیده)
9 - Investigation of the fatigue characteristics of warm stone matrix asphalt (WSMA) containing electric arc furnace (EAF) steel slag as coarse aggregate and Sasobit as warm mix additive (چکیده)