Impact of Geomaterial Properties and Roller Parameters on Intelligent Compaction Measurement Values Using Lumped Parameter Modeling
Roads consist of layers of geomaterials and asphalt or concrete to provide an optimal service life according to their exposure to traffic and the environment. Each layer that forms a pavement structure requires achieving specific quality and mechanical properties that are often obtained only through a proper compaction process. Traditionally, compacted layers are tested using spot methods, which rely on the assumption that the properties measured from a small sample of material represent an entire section. This limitation has led to quality management techniques that continuously monitor the acceleration records from a sensor installed on the roller's drum. These techniques are known as Continuous Compaction Control (CCC) or Intelligent Compaction (IC), and their results are in terms of Intelligent Compaction Measurement Values (ICMV). This study aims at developing a model through Simscape (Matlab™) that simulates soil compaction with a vibratory roller to characterize the relationships between the response of the drum and the mechanical properties of the compacted geomaterial. Since different roller manufacturers of IC rollers use different proprietary ICMV formulas, the Compaction Meter Value (CMV) and Compaction Control Value (CCV) are used throughout this study. This document summarizes the evaluation of changes in ICMV results from fluctuations in roller-specific characteristics. A sensitivity analysis was performed to evaluate the impact of individual soil properties and roller parameters on the simulated CMV and CCV results. The overall results indicated that CCV provides results less sensitive to changes in individual roller-specific parameters than CMV. Additionally, CCV results maintained proportional values to simulated soil mechanical properties in most simulated scenarios, while CMV did not.
Civil engineering|Computer science|Materials science|Statistical physics
Castro Pérez, Jesús, "Impact of Geomaterial Properties and Roller Parameters on Intelligent Compaction Measurement Values Using Lumped Parameter Modeling" (2021). ETD Collection for University of Texas, El Paso. AAI28714909.