超高性能混凝土颗粒紧密堆积理论优化探索

Optimization Exploration of Particle Close Packing Theory in Ultra-high Performance Concrete

针对修正的Andreasen-Andersen模型(MAA模型)在应用于超高性能混凝土(UHPC)配合比设计中的不足,提出了一个基于物理化学的协同优化方法.首先,通过试验探索了MAA模型的关键参数、颗粒分布模量(q)和最大骨料粒径(D_(max))对UHPC性能的影响,得到了最优的D_(max)以及q值;然后,根据水泥水化程度的发展,基于一种水泥水化球壳模型建立了新的水泥水化等效粒径并得到了优化配比,完善了MAA模型在UHPC设计中的应用.

Aiming at the shortcomings of the modified Anderson‑Andreessen model(MAA model)in the mix design of ultra‑high performance concrete(UHPC),a physical and chemical based collaborative optimization method was proposed.Firstly,the multiple effects of the key parameters of MAA model,particle distribution modulus(q)and _(max)imum aggregate size(D_(max))on the performance of UHPC matrix are explored through experiments,and the optimal D_(max) and q value are found.According to the development trend of cement hydration degree,a new cement hydration spherical shell model is used to establish a new cement hydration equivalent particle size to optimize the MAA model.