Determination of the Water Diffusivity of Concrete Using Drying/Absorption Test Results

Samson, E.; Maleki, Keyvan; Marchand, J.; Tie-wei, Zhang; Hooton, Douglas; Dean, S. W.

doi:10.1520/jai101322

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…The mathematical description of the model can be found in [25]. Developments specific to the migration test analysis have been presented in [23]. This section details the most recent version of the model and its application to migration test analysis.…”

Section: Numerical Modelingmentioning

confidence: 99%

Statistical analysis of concrete transport properties

Grégoire¹,

Samson²,

Marchand³

et al. 2013

Mater Struct

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Results of a statistical analysis of transport properties measurements carried out on a number of concrete mixtures are presented. Migration and drying experiments were performed to evaluate the ionic diffusion coefficients and permeability of concrete mixtures. Seven concrete mixtures were tested. The mixtures were either batched under laboratory conditions or sampled from construction sites. For each mixture, approximately eighty concrete samples from a single batch were tested. Ionic diffusion coefficients were calculated by analyzing the evolution of the electrical current passing through concrete samples during the migration tests. Calculations took into account the volume of permeable pores of the materials and the pore solution chemistry. Permeability was calculated from mass loss measured during drying tests. The study indicates that the coefficient of variation of ionic diffusion coefficients is 11.1 % on average, with a maximum of 23.5%, and that the coefficient of variation of permeability is 20.6% on average, with a maximum of 37.3%. Keywords Concrete • Variability •Transport properties • Service life Accordingly, the construction industry started to develop new approaches to increase the service-life of concrete structures. Traditional prescriptive methods, still very much in use today, are in many cases replaced or combined with performance and design specification. In this approach, criteria for durability, such as a targeted service-life duration, are specified. This type of approach was progressively added to construction codes. For example, language for performance specification was incorporated in Canadian standard CSA A23.1-04 1 [9], and defined as a method for specifying a construction product in which the final outcome is given in mandatory language, in a manner that the performance requirements can be measured by accepted industry standards and methods. The Unified Facilities Guide Specification (UFGS), issued by U.S federal agencies in 2010, is another construction guide that incorporates performance-based language for new concrete construction [17]. This new trend in construction methods prompted in recent years the development of numerical tools to support asset management and decision-making to optimize design, service-life, and maintenance of new and existing structures. Reactive transport models dedicated to the prediction of chloride ingress and other deleterious species in reinforced structures became a central element of this new emphasis on long-term service-life predictions [8, 25].

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Section: Numerical Modelingmentioning

confidence: 99%

Statistical analysis of concrete transport properties

Grégoire¹,

Samson²,

Marchand³

et al. 2013

Mater Struct

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“…This provides information on the drying and absorption rate behavior of mixtures. When analyzed in combination with a moisture transport model, the mass variation data can be used to estimate the moisture diffusivity (Samson 2008b).…”

Section: Drying/absorption Testsmentioning

confidence: 99%

Modeling the effect of a hydrophobic concrete admixture on chloride ingress : contractor's supplemental report for CPC Project F09-AR05A

Samson¹,

Tie-wei²

2018

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“…The mass loss of the 50-mm series is then analyzed with the moisture transport model developed by SIMCO Technologies to yield the intrinsic permeability. Details on the test method are provided in reference (Samson 2008b) and Appendix D.…”

Section: Drying Testmentioning

confidence: 99%

E-Area Vault Concrete Material Property And Vault Durability/Degradation Projection Recommendations

Phifer¹

2014

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Subsequent to the 2008 E-Area Low-Level Waste Facility (ELLWF) Performance Assessment (PA) (WSRC 2008), two additional E-Area vault concrete property testing programs have been conducted (Dixon and Phifer 2010 and SIMCO 2011a) and two additional E-Area vault concrete durability modeling projections have been made (Langton 2009 and SIMCO 2012). All the information/data from these reports has been evaluated and consolidated herein by the Savannah River National Laboratory (SRNL) at the request of Solid Waste Management (SWM) to produce E-Area vault concrete hydraulic and physical property data and vault durability/degradation projection recommendations that are adequately justified for use within associated Special Analyses (SAs) and future PA updates. Based upon this evaluation the following are recommended in regards to the E-Area vault concrete property values for use in ELLWF SAs and PAs: • Utilize the property values provided in Table 5-1 for saturated hydraulic conductivity, tortuosity, effective diffusion coefficient, dry bulk density, porosity, and particle density. • Utilize the characteristic curve data provided in Table 3-8. • Utilize the uncertainty distributions provided in Table 3-10. The Low Activity Waste (LAW) and Intermediate Level (IL) Vaults structural degradation predictions produced by Carey 2006 and Peregoy 2006, respectively, which were used as the basis for the 2008 ELLWF PA, remain valid based upon the results of the E-Area vault concrete durability simulations reported by Langton 2009 and those reported by SIMCO 2012. Therefore revised structural degradation predictions are not required so long as the mean thickness of the closure cap overlying the vaults is no greater than that assumed within Carey 2006 and Peregoy 2006. For the LAW Vault structural degradation prediction (Carey 2006), the mean thickness of the overlying closure cap was taken as nine feet. For the IL Vault structural degradation prediction (Peregoy 2006), the mean thickness of the overlying closure cap was taken as eight feet. The mean closure cap thicknesses as described here for both E-Area Vaults will be included as a key input and assumption (I&A) in the next revision to the closure plan for the ELLWF (Phifer et al. 2009). In addition, it has been identified as new input to the PA model to be assessed in the ongoing update to the new PA Information UDQE (Flach 2013). Once the UDQE is approved, the SWM Key I&A database will be updated with this new information.

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Determination of the Water Diffusivity of Concrete Using Drying/Absorption Test Results

Cited by 6 publications

References 22 publications

Statistical analysis of concrete transport properties

Statistical analysis of concrete transport properties

Modeling the effect of a hydrophobic concrete admixture on chloride ingress : contractor's supplemental report for CPC Project F09-AR05A

E-Area Vault Concrete Material Property And Vault Durability/Degradation Projection Recommendations

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