This paper reviews the fundamentals of conditional moment closure (CMC) met
hods for the prediction of turbulent reacting flows, with particular emphas
is on combustion. It also surveys several of the applications that have bee
n made. CMC methods predict the conditional averages and higher moments of
quantities such as species mass fractions and enthalpy, conditional on the
mixture fraction or reaction progress variable having a particular value. A
brief introduction is given to generalized functions and probability densi
ty function (pdf) methods. This is followed by an exposition on the various
methods of derivation for the CMC equation and the general characteristics
of this equation and its boundary conditions. Simplifications that can be
made in slender layer flows such as jets and plumes are outlined and exampl
es of application of the technique to such flows are given. The method allo
ws the definition of a new class of simplified reactors related to the well
known perfectly stirred reactor and plug flow reactor: these are outlined.
CMC predictions are compared to experiment and direct numerical simulation
s for flows with homogeneous turbulence. Derivation and modeling of the equ
ations for conditional variances and covariances are outlined and their use
in second-order CMC illustrated. Brief review is made of progress on appli
cation of the method to problems involving differential diffusion, multiple
conditioning, sprays and premixed combustion. (C) 1999 Published by Elsevi
er Science Ltd. All rights reserved.