Electrical resistivity measurement of mechanically stabilized Earth wall backfill : final report.
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2016-06-01
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Edition:Final report, July 2014-March 2016
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Abstract:In Kansas, mechanically stabilized earth (MSE) retaining walls are typically backfilled with coarse aggregate. ; Current backfill material testing procedures used by the Kansas Department of Transportation (KDOT) utilize on-site ; observations for construction quality assurance and the American Association of State Highway and Transportation ; Officials (AASHTO) Standard T 288-12 (2012), “Standard Method of Test for Determining Minimum Laboratory Soil ; Resistivity.” T 288 is designed to test a soil sample’s electrical resistivity, which correlates to its corrosive potential. ; The test, based on material passing through a No. 10 sieve, is considered inappropriate for coarse aggregates and ; potentially leads to over-conservative designs. Additionally, T 288 is run on a sample from the aggregate source, but ; test results may not capture variability of the aggregate used in construction. Electrical resistivity imaging (ERI) ; provides a two-dimensional (2D) profile of the bulk resistivity of backfill material, thereby reducing uncertainty ; regarding backfill uniformity as compared to traditional sampling. The objective of this study was to characterize bulk ; resistivity of in-place MSE wall backfill aggregate using ERI. ERI was used on six walls: five MSE walls and one ; gravity retaining wall that contained no reinforcement. The ERI field method produced a 2D profile that depicted ; electrical resistivity uniformity for bulk analysis. A post-processing algorithm was developed to calculate the bulk ; electrical resistivity of the backfill and reduce the qualitative interpretation of the ERI results. These results indicate ; that the laboratory analysis of T 288 underestimates the bulk electrical resistivity of in situ backfill material. ; Recommendations of the study were that ERI surveys and calculated mean electrical resistivity be utilized as ; construction quality assurance in order to reduce uncertainty of current selection practices.
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Main Document Checksum:urn:sha256:c7709c22f101bc748640819985a9b09452678b3265e1d7a484e2b5599cc66e24