The gas turbine combustion chamber, as one of the key components, has been extensively studied. The temperature distribution in the combustion chamber is of great importance because it can not only lead to changes in the composition of exhaust gases but also cause significant damage to the chamber walls or turbine blades. Among the methods for investigating combustion chambers, analytical methods, with appropriate accuracy and high simplicity and computational speed, can provide an effective assessment of combustion chamber performance.In this research, the distribution of inlet air to a laboratory-scale cylindrical combustion chamber was initially investigated and validated using a one-dimensional code developed in the MATLAB environment. Subsequently, combustion and temperature distributions along the chamber were simulated and validated using the CANTERA software through a Chemical Reactor Network (CRN).Following this, the sensitivity of control parameters such as the number of reactors, the initial reactor temperature, and the number of time steps in the chamber was investigated. The results showed that increasing the number of reactors up to 50, although providing a more detailed temperature distribution along the combustion chamber, did not improve solution accuracy and even led to computational errors due to an excessive reduction in reactor size. Varying the initial temperature up to 2300 K had no noticeable effect on solution accuracy. In addition, a 50‑fold increase in the number of time steps from 100 to 5000 showed no improvement in solution accuracy but resulted in an approximately twofold increase in computational time.