Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus
نویسندگان
چکیده
منابع مشابه
Estimation of Subgrade Resilient Modulus Using the Unconfined Compression Test
To facilitate pavement design, the new proposed mechanistic-empirical pavement design guide recommends the resilient modulus to characterize subgrade soil and its use for calculating pavement responses attributable to traffic and environmental loading. Although resilient modulus values could be determined through laboratory testing of actual subgrade soil samples, such testing would require sig...
متن کاملEstimation of Subgrade Resilient Modulus Using Unconfined Compression Test
1 2 Resilient modulus test is the recommended test to characterize subgrade soil for 3 pavement design in 1993 AASHTO pavement design guide as well as new proposed 4 Mechanistic-Empirical Pavement Design Guide (MEPDG). This test requires significant 5 resources including high level of technical capability to conduct. For smaller projects where 6 costly and complex resilient modulus testing is n...
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In order to implement MEPDG hierarchical inputs for unbound and subgrade soil, a database containing subgrade M R , index properties, standard proctor, and laboratory M R for 140 undisturbed roadbed soil samples from six different districts in Indiana was created. The M R data were categorized in accordance with the AASHTO soil classifications and divided into several groups. Based on each grou...
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ژورنال
عنوان ژورنال: Infrastructures
سال: 2021
ISSN: 2412-3811
DOI: 10.3390/infrastructures6060078