Prediction Model and Relationship of Compressive and Tensile Strengths for High Performance Concrete

Mohammad Iqbal Khan

doi:10.4028/www.scientific.net/AMM.377.92

Paper Titles

Performance of High-Efficiency Liquid Cement Setting Accelerator with Alkali-Free and its Acceleration Mechanism
p.69

Influence of Fly Ash on Thaumasite Form of Sulfate Attack in Cement-Based Materials
p.74

Application of Ultrafine Fly Ash in Commercial Concrete
p.80

Ring Test for the Measurement of Restrained Shrinkage of Concrete
p.86

Prediction Model and Relationship of Compressive and Tensile Strengths for High Performance Concrete
p.92

Experiment on Properties of Recycled Aggregate Concrete
p.99

Controlled Rolling and Controlled Cooling Technology of Fe-C-Mn-Si Multiphase Steel
p.107

Investigations on Low Environmental Impact Machining Processes of Free Cutting Austenitic Stainless Steels
p.112

Adjustment of Mill CNC Parameters to Optimize Cutting Operation and Surface Quality on Acrylic Sheet Machining
p.117

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 377Prediction Model and Relationship of Compressive...

Prediction Model and Relationship of Compressive and Tensile Strengths for High Performance Concrete

Abstract:

Analytical models for compressive strength and tensile strength of high performance concrete are presented. High performance concrete was developed using binary and ternary blending combinations consisting of ordinary Portland cement, pulverised fuel ash and silica fume. Pulverised fuel ash and silica fume were incorporated as partial cement replacements for the preparation of various combinations of blended systems. Compressive strength and tensile strength of concrete containing ordinary Portland cement, pulverised fuel ash and silica fume at various ages are reported. Based on the experimentally obtained results, analytical prediction models were developed. These models enabled the establishment of isoresponse contours showing the interactive influence between the various parameters investigated.

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Periodical:

Applied Mechanics and Materials (Volume 377)

Pages:

92-98

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.377.92

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Online since:

August 2013

Authors:

Mohammad Iqbal Khan

Keywords:

High-Performance Concrete (HPC), Prediction Model, Relationship, Strength

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