RETRACTED ARTICLE: Computer-aided prediction of the Al2O3 nanoparticles’ effects on tensile strength and percentage of water absorption of concrete specimens
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-011-0700-9.pdf
Reference30 articles.
1. Ye G, Lura P, van Breugel K (2006) Modelling of water permeability in cementitious materials. Mater Struct 39:877–885
2. Hong-Guang N, Ji-Zong W (2000) Prediction of compressive strength of concrete by neural networks. Cement Concr Res 30(8):1245–1250
3. Pala M, Ozbay O, Oztas A, Yuce MI (2005) Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks. Construct Build Mater 21(2):384–394
4. Akkurt S, Tayfur G, Can S (2004) Fuzzy logic model for prediction of cement compressive strength. Cement Concr Res 34(8):1429–1433
5. Baykasog˘lu A, Dereli T, Tanıs_ S. Prediction of cement strength using soft computing techniques. Cement Concr Res 2004;34(11):2083–90
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1. Retraction Note: Computer-aided design of the effects of Cr2O3 nanoparticles on split tensile strength and water permeability of high strength concrete;Science China Technological Sciences;2022-08-11
2. Retraction Note to: Computer-aided prediction of the Al2O3 nanoparticles’ effects on tensile strength and percentage of water absorption of concrete specimens;Neural Computing and Applications;2021-01-06
3. Strength and hydration attributes of cement pastes containing nano titania and cenosphere;Advances in Cement Research;2020-12
4. Synthesis and application of mesoporous silica nanoparticles as gas migration control additive in oil and gas cement;Journal of Petroleum Science and Engineering;2020-12
5. Evolution of nanomaterials in petroleum industries: application and the challenges;Journal of Petroleum Exploration and Production Technology;2020-05-25
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