## A Guide to Random Data Analysis for Computational Fluid Dynamics

Today’s CFD engineers will increasingly find themselves in situations where they need to integrate reliable statistical measures into their everyday post-processing routines.

At the beginning of a transient CFD analysis, the flow field is typically assigned an arbitrary initial condition or steady state solution. This solution must be advanced to a fully-developed statistically stationary state before meaningful sampling can begin.

Authored by engineers with over 15 years of CFD experience, the ** Guide to Random Data Analysis for Computational Fluid Dynamics** is intended to serve as a point of reference to aid the everyday CFD engineer when post-processing transient flow field data.

**What’s Inside:**

• Chapter 1: Techniques for Transient Flow Field Data

• Chapter 2: Introduction to The Fast Fourier Transform

• Chapter 3: Understanding The Fast Fourier Transform Inputs

• Chapter 4: Application of The Fast Fourier Transform

• Chapter 5: Accuracy of Your FFT and Parseval’s Theorem

• Chapter 6: The Short-Time Fourier Transform

• Chapter 7: Cross-Coherence

• Chapter 8: Auto and Cross Correlation

• Chapter 9: Two-Point Statistics

Download your complimentary guide now to get commonly used mathematical approaches that may be useful for interpreting transient data in a CFD analysis.