A highly efficient mixture design should have a good balance among workability, strength, durability, economic efficiency, and sustainability. Ultra-high-performance concrete (UHPC) is a relatively novel composite material with ultra-high strength, high toughness, and superior durability, although new solutions are constantly being developed. Previous mixture design methods for normal concrete and high-performance concrete involve a series of trial tests and empirical analyses, which cannot be directly applied to UHPC without modification. This paper reviews four commonly used mixture design methods, including close packing methods based on dry and wet packing densities, rheology-based method, statistical analysis method, and artificial neural network (ANN) model, according to design principles. The design procedures of these methods and the effect of mixture proportioning on the key performance of UHPC are presented and discussed. The advantages and disadvantages of these methods are finally compared. Depending on the actual production situation and performance requirements, an appropriate method should be chosen to develop UHPC with specified requirements. Integration of two or more methods can serve as a good approach to deal with the complexities of UHPC mixture design by exerting each method's advantages.

一个高效的混合物设计应该在和易性、强度、耐久性、经济效率和可持续性之间取得良好的平衡。超高性能混凝土 (UHPC) 是一种相对较新的复合材料，具有超高强度、高韧性和卓越的耐久性，但新的解决方案也在不断开发中。以往普通混凝土和高性能混凝土的配合比设计方法涉及一系列的试验和经验分析，不能不加修改地直接应用于UHPC。本文根据设计原理回顾了四种常用的混合物设计方法，包括基于干湿堆积密度的密堆积方法、基于流变学的方法、统计分析方法和人工神经网络（ANN）模型。介绍并讨论了这些方法的设计程序以及混合物配比对 UHPC 关键性能的影响。最后比较了这些方法的优缺点。应根据实际生产情况和性能要求，选择合适的方法开发具有特定要求的UHPC。两种或多种方法的集成可以作为一种很好的方法，通过发挥每种方法的优势来处理 UHPC 混合物设计的复杂性。