Results 151 to 160 of about 6,010,650 (169)

Study on the Engineering Characteristic of California Bearing Ratio (CBR) of Expressway Subgrade Material

open access: yesAdvanced Materials Research, 2011
The California Bearing Ratio(CBR) denotes the potential strength of subgrade material and is the important index of evaluating its using performance in expressway.
Bao Lin Xiong
exaly   +2 more sources

Effect of Grain Size Distribution on California Bearing Ratio (CBR) and Modified Proctor Parameters for Granular Materials [PDF]

open access: yesArabian Journal for Science and Engineering, 2020
The California bearing ratio (CBR) and modified proctor parameters (maximum dry unit weight γd(max)γd(max) and optimum moisture content woptwopt) are valuable indicators of the compaction quality of subgrades, embankments and granular fills.
Fuentes, William   +3 more
exaly   +2 more sources

Recalibrated Correlations between Dynamic Cone Penetrometer (DCP) Data and California Bearing Ratio (CBR) in Subgrade Soil

open access: yesEng
This study investigates the correlation between the California Bearing Ratio (CBR) and the Dynamic Cone Penetrometer (DCP) for subgrade soil analysis.
Niwat Angkawisittpan   +2 more
exaly   +2 more sources
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Application of Machine-Learning Algorithms for Predicting California Bearing Ratio of Soil

Journal of Transportation Engineering Part B: Pavements, 2023
Balunaini Umashanakar, Vaishnavi Bherde
exaly  

Predicting California Bearing Ratio (CBR) Value of a Selected Subgrade Material

Lecture Notes in Civil Engineering, 2022
Kasun Wimalasena, Chaminda Gallage
exaly  

Effect of natural and synthetic fibers reinforcement on California bearing ratio and tensile strength of clay

Journal of Rock Mechanics and Geotechnical Engineering, 2021
Alireza Tabarsa, Nima Latifi
exaly  

Influence of Recycled Concrete Aggregates on the California Bearing Ratio (CBR) of Granular Sub-bases

Arabian Journal for Science and Engineering, 2023
Daniela Vega Araujo
exaly  

Prediction of California Bearing Ratio of Subgrade Soils Using Artificial Neural Network Principles

Lecture Notes in Networks and Systems, 2021
Paul Awoyera, T V Nagaraju, R Gobinath
exaly  

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