Multiscale modeling for accurate forecasting of concrete wear depth: a comprehensive study on mixture proportions and environmental factors

Author:

Mahmood Wael Imad,Abdulrahman Payam Ismael,Kakasor Dilshad,Mohammed Ahmed Salih,Kurda Rawaz,Asteris Panagiotis G.,Sihag Parveen

Publisher

Springer Science and Business Media LLC

Reference31 articles.

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2. Ali L, Isleem HF, Bahrami A, Jha I, Zou G, Kumar R, Jahami A (2024) Integrated behavioural analysis of FRP-confined circular columns using FEM and machine learning. Composites Part c: Open Access 13:100444

3. Apebo NS, Shiwua AJ, Agbo AP, Ezeokonkwo JC, Adeke PT (2013) Effect of water-cement ratio on the compressive strength of gravel-crushed over burnt bricks concrete. Civ Environ Res 3(4):74–81

4. Ashrafian A, Shahmansouri AA, Akbarzadeh Bengar H, Behnood A (2022) Post-fire behavior evaluation of concrete mixtures containing natural zeolite using a novel metaheuristic-based machine learning method. Arch Civ Mech Eng 22(2):101

5. Bondarenko V, Kovalevska I, Dychkovskiy R (eds) (2010) New techniques and technologies in mining school of underground mining 2010. CRC Press, London

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