This work is licensed under the Creative Commons Attribution 4.0 International License.
Vakhshouri, Behnam, Nejadi, & Shami. (2018). Prediction of compressive strength of self-compacting concrete by anfis models. Neurocomputing.Search in Google Scholar
Yang, S., Zhu, H., & Xu, Z. (2021). Prediction of compressive strength of concrete using double-shear testing method. Journal of Materials in Civil Engineering, 33(1), 04020423.Search in Google Scholar
Cui, J. (2022). Simulation study on compressive strength and elastic modulus of concrete under multiaxial stress. International journal of materials & product technology(3/4), 64.Search in Google Scholar
Amlashi, A. T., Abdollahi, S. M., Goodarzi, S., & Ghanizadeh, A. R. (2019). Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete. Journal of Cleaner Production, 230(SEP.1), 1197-1216.Search in Google Scholar
Riedel, P., Leutbecher, T., Piotrowski, S., & Heese, C. (2019). Ratios of compressive strengths of ultra-high-performance concrete specimens of different shapes and sizes. ACI Materials Journal, 116(6), 139-149.Search in Google Scholar
Jang, Y., Ahn, Y., & Kim, H. Y. (2019). Estimating compressive strength of concrete using deep convolutional neural networks with digital microscope images. Journal of Computing in Civil Engineering, 33(3), 04019018.1-04019018.11.Search in Google Scholar
Chen, N., Zhao, S., Gao, Z., Wang, D., Liu, P., & Oeser, M., et al. (2022). Virtual mix design: prediction of compressive strength of concrete with industrial wastes using deep data augmentation. Construction and Building Materials, 323, 126580-.Search in Google Scholar
Shishegaran, A., Varaee, H., Rabczuk, T., & Shishegaran, G. (2021). High correlated variables creator machine: prediction of the compressive strength of concrete. Computers & Structures, 247, 106479.Search in Google Scholar
Sun, L., Koopialipoor, M., Armaghani, D. J., Tarinejad, R., & Tahir, M. M. (2021). Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples. Engineering with Computers, 37(13).Search in Google Scholar
Aggarwal, Y., Aggarwal, P., Sihagnaff, P., & Kumar, A. (2022). Evaluation and estimation of compressive strength of concrete using hybrid modeling techniques. Iranian Journal of Science and Technology, Transaction of Civil Engineering.Search in Google Scholar
Goutham, S. J., & Singh, V. P. (2020). Artificial intelligence for compressive strength prediction of concrete. IOP Conference Series: Materials Science and Engineering, 1004(1), 012010 (7pp).Search in Google Scholar
Hong, S., Kim, S., Lee, Y., Jeong, J., Lee, C., & Park, C. (2018). Estimation of compressive strength of reinforced concrete structure using impact testing method and rebound hardness method. ARCHITECTURAL RESEARCH, 20.Search in Google Scholar
Al-Haidari, H. S. J., & Al-Haydari, I. S. (2022). Artificial intelligence-based compressive strength prediction of medium to high strength concrete. Iranian Journal of Science and Technology, Transaction of Civil Engineering(2), 46.Search in Google Scholar
Ghahremani, B., & Rizzo, P. (2022). Multi-gene genetic programming for the prediction of the compressive strength of concrete mixtures. Computers & Concrete.Search in Google Scholar
Hassan, A. A., Mawat, M. J., & Dawood, A. S. (2019). Prediction of compressive strength of concrete containing pozzolanic materials by applying neural networks. International Journal of Civil Engineering and Technology, 10(2), 526-537.Search in Google Scholar
Luhar, S., & Luhar, I. (2019). Application of artificial neural network for predicting compressive strength of geopolymer concrete. Indian Concrete Journal, 93(2), 38-43.Search in Google Scholar
Chen, A., Han, X., Wang, Z., Ji, Y., Li, K., & Zhang, Q., et al. (2022). Analytical evaluation of compressive strength for concrete with rubber fine aggregates and the predictive model. Construction and Building Materials.Search in Google Scholar
Cai, H., Liao, T., Ren, S., Li, S., & Yang, W. (2020). Predicting the compressive strength of desert sand concrete using ann: pso and its application in tunnel. Advances in Civil Engineering, 2020(10), 1-11.Search in Google Scholar
He, Z. J., Ding, M. J., Zhang, X. J., & Zhang, X. S. (2021). The biaxial compressive mechanical properties and strength criterion of recycled aggregate concrete under different dynamic strain rates. Iranian Journal of Science and Technology, Transaction of Civil Engineering(1), 45.Search in Google Scholar
Bingol, S. C. A. (2018). A new nomogram proposal to determine concrete compressive strength by combined nondestructive testing methods. Research in nondestructive evaluation: a journal of the American Society for Nondestructive Testing, 29(1).Search in Google Scholar
Yousif, S. T., & Hasan, W. M. (2018). New model for predicting concrete compressive strength with age using ann. International Journal of Civil Engineering and Technology, 9(12), 1128-1140.Search in Google Scholar
Al-Aasm, H. S. (2018). Empirical formula for assessment concrete compressive strength by using ultrasonic pulse velocity. International Journal of Engineering & Technology, 7(4), 113-117.Search in Google Scholar
Thapa, S., Halder, L., Dutta, S. C., & Kumar, S. (2019). Evaluation of concrete made with stone and brick aggregate using non-destructive testing. Municipal Engineer, 1-21.Search in Google Scholar
Koppula, R., Salem, O. S., & Elshaer, A. (2022). Experimental determination of the residual compressive strength of fire-damaged concrete columns retrofitted using cfrp wrapping. Canadian Journal of Civil Engineering(3), 49.Search in Google Scholar
Rajeshwari, M. R. C. (2020). Compressive strength prediction of hvfa control concrete using ann and psoann models. Trends in Ecology & Evolution, 35(1).Search in Google Scholar
Jin, D. D. X. (2021). Numerical and theoretical investigation on the size effect of concrete compressive strength considering the maximum aggregate size. International Journal of Mechanical Sciences, 192(1).Search in Google Scholar
El-Moussaoui, M., Dhir, R. K., & Robery, P. (2019). Potential use of small-diameter concrete cores for in situ compressive strength assessment. Magazine of Concrete Research, 71(15-16), 809-826.Search in Google Scholar