Experimental and computational evaluation of geomaterial interactions in flexible pavements

dc.contributor.advisor Frost, J. David
dc.contributor.author Somashekar Hanumasagar, Sangameshwar
dc.contributor.committeeMember Burns, Susan E.
dc.contributor.committeeMember Gokhale, Arun M.
dc.contributor.committeeMember Wayne, Mark H.
dc.contributor.committeeMember Kim, Sonny S.
dc.contributor.department Civil and Environmental Engineering
dc.date.accessioned 2020-01-14T14:47:04Z
dc.date.available 2020-01-14T14:47:04Z
dc.date.created 2019-12
dc.date.issued 2019-10-31
dc.date.submitted December 2019
dc.date.updated 2020-01-14T14:47:04Z
dc.description.abstract Improving the design and performance of pavement systems has been a topic of extensive research in the past few decades, with the two-fold objective of reducing construction and maintenance costs of roads while extending their duration of serviceability. While geosynthetics have been identified as viable means to stabilize and/or reinforce pavements at lower life-cycle costs and achieve improved performance of the resulting systems, their widespread adoption has been slow owing to several challenges. Some of these challenges arise from a lack of technical understanding about complex mechanisms such as interaction between aggregates and geosynthetics, while some others arise from inherent difficulties associated with pavement testing such as experimental design, specimen size and testing costs. This research study aimed to address these specific challenges by developing a new bench-scale pavement simulation system to facilitate rapid standardized testing by employing downscaled specimens while still preserving mechanisms associated with full-scale pavements. The system was then used to conduct series of rutting tests to assess the influence of various parameters like subgrade stiffness, aggregate morphology, geosynthetic type, geometry, placement location in the aggregate layer on pavement performance. The resulting time-series data of surface displacements and subgrade stresses yielded valuable insights into the internal mechanisms active within the specimen, particularly relating to the interlocking behavior between aggregates and geogrids. Further, a back-calculation procedure for the estimation of the approximate composite modulus of the stabilized pavement is presented, which could enhance current Mechanistic-Empirical design workflows for geosynthetic-stabilized pavements. Next, in an attempt to better understand the interlocking mechanics associated with aggregate-geogrid interaction, rutting experiments were conducted using aggregates of different morphologies and geogrids of different stiffnesses and opening sizes. This allowed for a detailed parametric assessment and demonstrated the importance of choosing the right aggregate-geogrid combination to maximize interlocking and therefore, performance. Finally, these insights from experiments were supplemented with a suite of Discrete Element Modelling (DEM) simulations to visualize interaction mechanisms at a particle-scale. Some compelling results showing the influence of geogrids towards limiting lateral spreading of particles across the aggregate layer are presented.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/62315
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Geosynthetics
dc.subject Stabilization
dc.subject Flexible pavements
dc.subject Pavements
dc.subject Geogrids
dc.subject Aggregates
dc.subject Rutting
dc.subject Interlocking
dc.title Experimental and computational evaluation of geomaterial interactions in flexible pavements
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Frost, J. David
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 9e4f9777-b376-42bc-97de-9b0440ebe523
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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