Optimizing Packing Factors using the Modified Andreasen and Andersen Model to Improve Self-Compacting Concrete Performance

IJEP 45(13): 1190-1199 : Vol. 45 Issue 13 (Conference 2025)

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Rama Krishna Rao Annavarapu1*, Pitta Sundara Kumar1* and Srinivasa Reddy Vempada2

1. Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Department of Civil Engineering, Guntur – 522 213, Andhra Pradesh, India
2. KG Reddy College of Engineering and Technology, Department of Civil Engineering, Hyderabad – 501 504, Telangana, India

Abstract

Considering the modified Andreasen and Andersen (MAA) model, this paper examines the performance of packing factor optimization to enhance M30-grade self-compacting concrete (SCC). Because of its excellent flowability and lack of segregation without mechanical vibration, SCC requires a precise particle size distribution to achieve the desired mechanical and rheological properties. The MAA model provides a science-based approach to optimize granular packing, aiming to maximize density, minimize voids and develop a continuous particle size distribution curve. In this study, various M30 SCC mixtures were developed based on the MAA model by varying cement, fine and coarse aggregate contents, as well as other cementitious materials, such as flyash and silica fume. For all mixes, the compressive strength, flow properties and packing density were measured. The results show that improving the packing factor significantly enhanced SCC’s filling, passing and stability, while also increasing compressive strength and reducing cement use. This study demonstrates that applying the MAA model improves performance in M30-grade SCC and supports more sustainable mix designs.

Keywords

Modified Andreasen and Andersen model, Packing factor optimization, Self-compacting concrete, Particle size distribution, Rheological and mechanical performance

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