Artificial Intelligence to Model the Performance of Concrete Mixtures and Elements: A Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-021-09644-0.pdf
Reference146 articles.
1. Verian KP, Behnood A (2018) Effects of deicers on the performance of concrete pavements containing air-cooled blast furnace slag and supplementary cementitious materials. Cem Concr Compos 90:27–41
2. Kandiri A, Golafshani EM, Behnood A (2020) Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm. Constr Build Mater 248:118676
3. Behnood A, Behnood V, Modiri Gharehveran M, Alyamac KE (2017) Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm. Constr Build Mater 142:199–207
4. Behnood A, Verian KP, Modiri Gharehveran M (2015) Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength. Constr Build Mater 98:519–529
5. Tranfield D, Denyer D, Smart P (2003) Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br J Manag 14(3):207–222
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