This paper proposes a full grid interval collocation method (FGICM) and a sparse grid interval collocation
method (SGICM) to solve the uncertain heat convection-diffusion problem with interval input parameters
in material properties, applied loads and boundary conditions. The Legendre polynomial series is
adopted to approximate the functional dependency of temperature response with respect to the interval
parameters. In the process of calculating the expansion coefficients, FGICM evaluates the deterministic
solutions directly on the full tensor product grids, while the Smolyak sparse grids are reconstructed in
SGICM to avoid the curse of dimensionality. The eventual lower and upper bounds of temperature responses
are easily predicted based on the continuously-differentiable property of the approximate
function. Comparing results with traditional Monte Carlo simulations and perturbation method, the
numerical example evidences the remarkable accuracy and effectiveness of the proposed methods for
interval temperature field prediction in engineering.