Assessment of Rock Aggregate Quality Through Fuzzy Inference System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture
Link
https://link.springer.com/content/pdf/10.1007/s10706-022-02114-9.pdf
Reference49 articles.
1. Adoko AC, Gokceoglu C, Wu L, Zuo QJ (2013) Knowledge-based and data-driven fuzzy modeling for rockburst prediction. Int J Rock Mech Min Sci 61:86–95
2. Akbulut H, Gürer C, Çetin S (2011) Use of volcanic aggregates in asphalt pavement mixes. Proc Inst Civ Eng Transport 162(2):111–123. https://doi.org/10.1680/tran.2011.164.2.111
3. Armaghani J, Safari V, Fahimifar A et al (2018) Uniaxial compressive strength prediction through a new technique based on gene expression programming. Neural Comput Appl 30:3523–3532. https://doi.org/10.1007/s00521-017-2939-2
4. ASTM C33/C33M-13 (2013) Standard specification for concrete aggregates. ASTM International, West Conshohocken
5. ASTM D692/692M (2015) Standard specification for coarse aggregate for bituminous paving mixtures. ASTM International. https://doi.org/10.1520/D0692_D0692M-15
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