Prediction of Maximum Reinforcement Load of Reinforced Soil Retaining Walls Based on Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9069-6_8
Reference16 articles.
1. Allen TM et al (2003) A new working stress method for prediction of reinforcement loads in geosynthetic walls. Can Geotech J 40(5):976–994. https://doi.org/10.1139/T03-051
2. Bathurst RJ, Allen TM, Walters DL (2005) Reinforcement loads in geosynthetic walls and the case for a new working stress design method. Geotext Geomembr 23(4):287–322. https://doi.org/10.1016/j.geotexmem.2005.01.002
3. Bathurst RJ, Miyata Y, Nernheim A, Allen AM (2008) Refinement of K-stiffness method for geosynthetic-reinforced soil walls. Geosynth Int 269–295. https://doi.org/10.1680/gein.2008.15.4.269
4. Bathurst RJ et al (2009) Influence of reinforcement stiffness and compaction on the performance of four geosynthetic-reinforced soil walls. Geosynth Int 16(1):43–59. https://doi.org/10.1680/gein.2009.16.1.43
5. Cascardi A, Micelli F, Aiello MA (2016) Analytical model based on artificial neural network for masonry shear walls strengthened with FRM systems. Compos Part B Eng 95:252–263. https://doi.org/10.1016/j.compositesb.2016.03.066
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