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Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping

The dataset derives from a thorough laboratory characterization of all existing stabilization technologies suitable for coarse-graded aggregates. They include two traditional binders (based on cement and bitumen) and eleven nontraditional binders (based on brine salt, clay, organic non-petroleum, or...

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Autores principales: Barbieri, Diego Maria, Lou, Baowen, Dyke, Robert Jason, Chen, Hao, Chandra Sahoo, Umesh, Tingle, Jeb S, Hoff, Inge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720440/
https://www.ncbi.nlm.nih.gov/pubmed/36478682
http://dx.doi.org/10.1016/j.dib.2022.108781
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author Barbieri, Diego Maria
Lou, Baowen
Dyke, Robert Jason
Chen, Hao
Chandra Sahoo, Umesh
Tingle, Jeb S
Hoff, Inge
author_facet Barbieri, Diego Maria
Lou, Baowen
Dyke, Robert Jason
Chen, Hao
Chandra Sahoo, Umesh
Tingle, Jeb S
Hoff, Inge
author_sort Barbieri, Diego Maria
collection PubMed
description The dataset derives from a thorough laboratory characterization of all existing stabilization technologies suitable for coarse-graded aggregates. They include two traditional binders (based on cement and bitumen) and eleven nontraditional binders (based on brine salt, clay, organic non-petroleum, organic petroleum and synthetic polymer). The dataset derives from four laboratory test operations: repeated load triaxial test performed both before and after exposing the investigated samples to ten freeze-thaw cycles, weight measurement of Marshall specimens during ten freeze-thaw cycles and a modified version of rolling bottle test. Repeated load triaxial tests assess the resilient modulus and the resistance to permanent deformation of both unstabilized and stabilized specimens. The mass loss of Marshall specimens expresses the susceptibility of each additive to lose its binding property when exposed to freezing action. The modified version of the rolling bottle test characterizes the propensity to stripping for each additive coating the aggregates subjected to mechanical stirring action. Given the surging necessity to improve the construction and maintenance operations for road pavements worldwide, this dataset containing information about several stabilization technologies can be very useful for transport agencies, contractors, industry and university researchers as well as companies manufacturing and supplying stabilization technologies.
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spelling pubmed-97204402022-12-06 Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping Barbieri, Diego Maria Lou, Baowen Dyke, Robert Jason Chen, Hao Chandra Sahoo, Umesh Tingle, Jeb S Hoff, Inge Data Brief Data Article The dataset derives from a thorough laboratory characterization of all existing stabilization technologies suitable for coarse-graded aggregates. They include two traditional binders (based on cement and bitumen) and eleven nontraditional binders (based on brine salt, clay, organic non-petroleum, organic petroleum and synthetic polymer). The dataset derives from four laboratory test operations: repeated load triaxial test performed both before and after exposing the investigated samples to ten freeze-thaw cycles, weight measurement of Marshall specimens during ten freeze-thaw cycles and a modified version of rolling bottle test. Repeated load triaxial tests assess the resilient modulus and the resistance to permanent deformation of both unstabilized and stabilized specimens. The mass loss of Marshall specimens expresses the susceptibility of each additive to lose its binding property when exposed to freezing action. The modified version of the rolling bottle test characterizes the propensity to stripping for each additive coating the aggregates subjected to mechanical stirring action. Given the surging necessity to improve the construction and maintenance operations for road pavements worldwide, this dataset containing information about several stabilization technologies can be very useful for transport agencies, contractors, industry and university researchers as well as companies manufacturing and supplying stabilization technologies. Elsevier 2022-11-24 /pmc/articles/PMC9720440/ /pubmed/36478682 http://dx.doi.org/10.1016/j.dib.2022.108781 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Barbieri, Diego Maria
Lou, Baowen
Dyke, Robert Jason
Chen, Hao
Chandra Sahoo, Umesh
Tingle, Jeb S
Hoff, Inge
Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title_full Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title_fullStr Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title_full_unstemmed Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title_short Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
title_sort dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: stiffness, deformation, resistance to freezing and stripping
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720440/
https://www.ncbi.nlm.nih.gov/pubmed/36478682
http://dx.doi.org/10.1016/j.dib.2022.108781
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