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Optimization of polycarboxylates for use in selfconsolidating concrete
To produce self-consolidating concrete (SCC) that has both high flow and high segregation resistance, one of two approaches is typically used. Acceptable SCC can be produced using a viscosity modifying additive (VMA), however this method adds a level of complexity for concrete producers. In addition, some VMA products can exhibit a set retarding affect. As an alternative, polycarboxylate water reducers specifically designed for use in SCC without a VMA can be used and have the advantage of ease of use. Polycarboxylate technology continues to exhibit strong growth and increasing performance attributes and is capable of producing a wide range of molecular structures that allow for a very versatile performance. In this paper, we will focus on the optimization of polycarboxylate water reducers that do not require the use of a VMA. We also present evidence of the advantages in polycarboxylate manufacturing of using polyether 'teeth' containing a minimal amount of non-ethylene glycol units. The structure of comb polycarboxylate copolymers allows for a high degree of flexibility through modification of backbone comonomers, pendant chain characteristics (frequency, distribution, composition, and molecular weight) and total molecular weight. Neural network modeling is an effective tool for optimization of polycarboxylate performance. The performance of a self-consolidating concrete was confirmed in a commercial precast concrete operation. No VMA was needed and the dosage was reduced by more than 25% than that required for polycarboxylate typically used.
Optimization of polycarboxylates for use in selfconsolidating concrete
To produce self-consolidating concrete (SCC) that has both high flow and high segregation resistance, one of two approaches is typically used. Acceptable SCC can be produced using a viscosity modifying additive (VMA), however this method adds a level of complexity for concrete producers. In addition, some VMA products can exhibit a set retarding affect. As an alternative, polycarboxylate water reducers specifically designed for use in SCC without a VMA can be used and have the advantage of ease of use. Polycarboxylate technology continues to exhibit strong growth and increasing performance attributes and is capable of producing a wide range of molecular structures that allow for a very versatile performance. In this paper, we will focus on the optimization of polycarboxylate water reducers that do not require the use of a VMA. We also present evidence of the advantages in polycarboxylate manufacturing of using polyether 'teeth' containing a minimal amount of non-ethylene glycol units. The structure of comb polycarboxylate copolymers allows for a high degree of flexibility through modification of backbone comonomers, pendant chain characteristics (frequency, distribution, composition, and molecular weight) and total molecular weight. Neural network modeling is an effective tool for optimization of polycarboxylate performance. The performance of a self-consolidating concrete was confirmed in a commercial precast concrete operation. No VMA was needed and the dosage was reduced by more than 25% than that required for polycarboxylate typically used.
Optimization of polycarboxylates for use in selfconsolidating concrete
Cooper, Charles F. (author) / Liotta, Frank J. (author) / Shawl, Edward T. (author)
2005
7 Seiten, 10 Bilder, 4 Tabellen, 9 Quellen
Conference paper
English
Optimization of Polycarboxylates for Use in Self-Consolidating Concrete
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