Quality Assurance of Performance Data for Pavement Management Systems

Tan, Sui G.; Cheng, DingXin

doi:10.1061/9780784478462.020

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Hence, it is important to check and verify certain parameters used in pavements during their construction. Otherwise, the predictions made for the durability and serviceability of pavements will not be realistic, affecting the costs of maintenance and rehabilitation [4]. The design of pavements requires the knowledge of soil mechanics and specifically the behavior of compacted soils.…”

Section: Introductionmentioning

confidence: 99%

CBR Predictive Models for Granular Bases Using Physical and Structural Properties

et al. 2020

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The California bearing ratio (CBR) test evaluates the structure of the layers of pavements. Such a test is laborious, time-consuming, and its results are generally affected by sample disturbance and tests conditions. The main objective of this research was to build a numerical model for the prediction of CBR tests that might substitute laboratory tests. The model was based on structural and physical parameters of granular bases. Four different materials from the central region (Querétaro) and north (Mexicali) of Mexico were used for the experimental work. Using the above-mentioned materials, 36 samples were fabricated, and six of them were used for the evaluation of the model presented in this research. Numerical and experimental comparisons demonstrated the adequacy of the model to predict the result of CBR tests from soil parameters.

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Section: Introductionmentioning

confidence: 99%