ASS+RACT RgSUMEA factorial design was carried out to model the influence of key mixture parameters on properties affecting the performance of self-consolidating concrete (SCC). Such responses included slump flow and rheological parameters, filling capacity and V-funnel flow to assess restrained deformability, surface settlement to evaluate stability after casting, and compressive strength. Thirty two mixtures were prepared to derive the statistical models and nine others to evaluate their accuracy. The models are valid for a wide range of mixture proportioning. The paper presents the derived models that unable the identification of underlying primary factors and their interactions that influence the modelled responses of interest for self-consolidating concrete. Such parameters can be useful to reduce the test protocol needed for the proportioning of self-consolidating concrete. The usefulness of the models to better understand trade-offs between mixture parameters and compare the responses obtained from various test methods are highlighted. Pour la formulation du b~ton autoplafant (BAP) plusieurs gdch~es s'imposent, ~tant donn~ qu'il faut ma~triser tous les facteurs affectant les propri~t~s ~ l'~tat frais et durci du b~ton. Des modules statistiques ont ~t~ g~n&e~s ~ partir de la re~alisation d' un plan d' exp~rience. Ces modules identifient les param~tres importants de la formulation

A B S T R A C.T R I~ S U M I~In addition to sound material selection, the mix design of self-consolidating concrete requires careful tailoring of mixture constituents to secure a proper balance between contradictory properties necessary for the successful production of such a complex material. Mixture optimization of self-consolidating concrete often requires several trial batches to secure the required characteristics. This paper reviews statistical models developed using a factorial design approach to understand the effect of mixture parameters on key responses, including slump flow, theological parameters, filling capacity, V-funnel flow time, surface settlement, and compressive strength. The models are valid for mixtures with 0.37 to 0.50 W/CM, 360 to 600 kg/m 3 of binder, 240 to 4001/m 3 of coarse aggregate, 0.05 to 0.20% of viscosity-enhancing agent, by mass of water, and 0.3 to 1.1% of high-range water reducer, by mass of binder.Although the predicted response changes with the deviation from material characteristics used in establishing the models, the models remain quite useful in &terming the significance of mixture parameters and their interactions on self-consolidating concrete properties. This paper demonstrates the usefulness of the models in establishing trade-offs among mixture parameters necessary for mixture optimization and compares the effect of changes in such parameters on key self consolidating concrete responses. The utility of the models to establish correlation between different workability characteristics useful for quality control is also highlighted. La formulation des b~tons autoplacants n&essite une attention particuli&re clans la s&ction des constituants afin d'assurer un ~quilibre entre les propri~t& contradictoires et n&essaires a l'obtention de ce mat&iau. L'optimisation des m&nges des b~tons autoplafants exige plusieurs gdch&s d'essais pour garantir toutes les propri~t~s requises. Ce travail passe en revue les modules statistiques d&elopp& par l'approche des plans factoriels pour comprendre l'effet des facteurs sur les @onses recherch&s, a savoir : l'&alement, les paramdtres rh&Iogiques, ta capacit~ de remplissage, l'entonnoir, le tassement et la r&istance a la compression. Les modules propos& sont valables pour un rapport