heat loss is measured and minimized by the use of insulation. The concrete adiabatic temperature rise is then back-calculated with the increased heat of hydration rate from the higher temperatures in adiabatic conditions taken into account. Semiadiabatic calorimetry is much easier to perform than adiabatic calorimetry, and it can even be performed in the fi eld. Higher temperature speeds the rate of the cementitious material hydration reactions. The infl uence of temperature on the hydration rate can be accounted for by the use of a maturity function. The equivalent age maturity function is commonly used with strength or degree of hydration calculations, as shown in Eq. (1 where t e (hours) is the equivalent age or time that the concrete would take to achieve the same property while being cured at an isothermal temperature at the reference temperature T r (K); E a is the apparent activation energy (J/mol); R is the universal gas constant (8.314 J/mol/K [10.732 ft 3 psia/°R/ lb-mol]); T C is the temperature of the concrete (K); and ∆t is the time step used. In practical terms, the equivalent age of a concrete mixture is the amount of time that the concrete mixture would need to be cured at an isothermal reference temperature to reach the same property as the concrete under the different time-temperature history. The equivalent age maturity method has been shown to well account for the effects of different placement temperature 3 and curing conditions 1 on the concrete heat of hydration development. The apparent activation energy term is a measure of the temperature sensitivity of the hydration reaction.2,4,5 A mechanistic-empirical model was developed for predicting E a by Poole 6 from isothermal calorimetry experiments, as shown in Eq. (2) INTRODUCTION Concrete temperature development during hydration is a major factor in determining the long-term strength, permeability, durability, and cracking probability. The mixture proportions, curing, and construction schedule can be optimized to control concrete temperature and improve concrete performance. To determine optimum mixture proportions and placement conditions, heat transfer software can be used to model the combined effects of the weather, member geometry, insulation, boundary conditions, and concrete heat of hydration to predict internal concrete temperatures. Such software requires the rate and amount of concrete heat generation as input parameters. Measuring the rate and amount of heat released during hydration to provide input for a model can take a week or longer per mixture in a specialized calorimeter and can be costly. Therefore, a comparison of several candidate mixtures using laboratory test results could require several weeks. A predictive model for the concrete heat released during hydration, based on the constituent materials and mixture proportions, would reduce the need for this costly testing. This study documents the test methods, materials, and statistical methods used to develop and validate a model for predicting the concrete heat release...