Relationship Between Index Properties and CBR of Soil and Prediction of CBR
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6774-0_16
Reference26 articles.
1. Arora KR (2004) Soil mechanics and foundation engineering. Standard Publisher Distributors, New Delhi, India
2. Kamrul Alam SK, Mandal A, Shiuly A (2020) Prediction of CBR value of fine-grained soil of Bengal basin by Genetic expression programming, artificial neural network and Krigging method. J Geol Soc India 99:190–196
3. Montes-Arvizu ME, Chavez-Alegria O, Rojas-Gonzalez E, Gaxiola-Camacho JR, Millan-Almaraz JR (2020) CBR predictive models for granular bases 8 using physical and structural properties. Appl Sci 10(4):1414
4. Al-Busultan S, Aswed GK, Almuhanna RRA, Rasheed SE (2020) Application of artificial neural networks in predicting subbase CBR values using soil indices data. In: 3rd International conference on engineering sciences, IOP conference series, materials science and engineering, p 671
5. Ji X, Li J, Cui Z, Li S, Xiong Y, Hu J, Jiang Y (2020) A prediction method for the California bearing ratio of soil-rocks mixture based on the discrete element method and CT scanning. Adv Civil Eng Hindawi 1–12, Article ID 9794756
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