%0 Journal Article %A S. M. Gupta and Vanita Aggarwal and Som Nath Sachdeva %D 2014 %J International Journal of Civil and Environmental Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 87, 2014 %T Predictive Models for Compressive Strength of High Performance Fly Ash Cement Concrete for Pavements %U https://publications.waset.org/pdf/10002597 %V 87 %X The work reported through this paper is an experimental work conducted on High Performance Concrete (HPC) with super plasticizer with the aim to develop some models suitable for prediction of compressive strength of HPC mixes. In this study, the effect of varying proportions of fly ash (0% to 50% @ 10% increment) on compressive strength of high performance concrete has been evaluated. The mix designs studied were M30, M40 and M50 to compare the effect of fly ash addition on the properties of these concrete mixes. In all eighteen concrete mixes that have been designed, three were conventional concretes for three grades under discussion and fifteen were HPC with fly ash with varying percentages of fly ash. The concrete mix designing has been done in accordance with Indian standard recommended guidelines. All the concrete mixes have been studied in terms of compressive strength at 7 days, 28 days, 90 days, and 365 days. All the materials used have been kept same throughout the study to get a perfect comparison of values of results. The models for compressive strength prediction have been developed using Linear Regression method (LR), Artificial Neural Network (ANN) and Leave-One-Out Validation (LOOV) methods. %P 335 - 339