Skip to main content

Currently Skimming:


Pages 33-40

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 33...
... Standard Practice for Identification of Water Reducing, Accelerating, and Retarding Chemical Admixtures in Fresh Portland Cement Concrete by Attenuated Total Reflection Infrared Spectrometer AASHTO Designation SP XX-14 1. SCOPE 1.1 This method covers the qualitative identification of the type of a chemical admixture for portland cement concrete (PCC)
From page 34...
... 2. REFERENCED DOCUMENTS 2.1 ASTM Standards:  C494, Standard Specification for Chemical Admixtures for Concrete  C1017, Standard Specification for Chemical Admixtures for Use in Producing Flowing Concrete  C260, Standard Specification for Air-Entraining Admixtures for Concrete 3.
From page 35...
... 5.4 The ATR spectrometer should be connected to a data acquisition system (normally, a computer with an accompanying software) all the time during a test.
From page 36...
... vapor-related absorption bands from the sample spectrum. Store the ATR absorbance spectrum in numerical format for further processing as needed.
From page 37...
... 8.1.1.2 Calcium nitrate is identified by a strong and wide band at 1330±5 cm-1 with distinctive shoulder at 1410±5 cm-1due to NO2 and two medium and sharp peaks at 1047±5 and 826±5 cm-1 associated with nitrate anion NO3. 8.1.2 Water Reducers (ASTM C494, Types A and D)
From page 38...
... Appendix A Example of chemical composition and spectral features for PCC admixtures Table A-1 summarizes classification and chemical composition of the admixtures described in this standard.
From page 39...
... FIGURE A-1. Composition of the ATR spectrum of PCC sample modified with High Range Water Reducer (HRWR)
From page 40...
... FIGURE A-3. Composition of the ATR spectrum of PCC sample modified with Water Reducer/Retarder (after Yut and Zofka, 2012)

Key Terms



This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.