scispace - formally typeset
Journal ArticleDOI

Large-eddy simulation of flow turbulence in clarification systems

Haochen Li, +2 more
- 01 Apr 2021 - 
- Vol. 232, Iss: 4, pp 1389-1412
Reads0
Chats0
TLDR
In this paper, large-eddy simulations (LES) were used for a clarification system with a high-order spectral element method employing 48 million degrees of freedom (FOF) to investigate turbulent and unsteady flow characteristics.
Abstract
Prediction of turbulent flow is required for design and assessment of clarifier systems that have been implemented throughout history to treat water in the urban water cycle through physical clarification. Yet, turbulent flow modeling is a relatively new tool that has not existed until the last half-century and can be, and often is, a tenuous component in a computational fluid dynamics simulation of unit operations and processes. Common Reynolds-averaged Navier–Stokes equation (RANS) approaches can be inadequate to obtain consistent and accurate flow solutions. In contrast, this study presents an application of large-eddy simulations (LES) for a clarification system with a high-order spectral element method employing 48 million degrees of freedom. Turbulent and unsteady flow characteristics are investigated, and statistics are examined for such a system. Simulation results are compared with laser Doppler anemometry measurements for mean flow velocity, turbulence kinetic energy, and Reynolds shear stress. LES results agree well with measurements, and the differences between LES and measurements are generally less than the reported measurement error. LES results capture the transition behavior from a jet-like flow at the near-inlet region to an open-channel flow at the downstream end of the system. Furthermore, LES results reveal that the widely adopted log-law of a classical turbulent boundary layer is not established in the system even at the most downstream location. Preliminary examination of commonly used RANS models identifies the challenges in application of RANS to such systems. The results from this study provide a benchmark for turbulence modeling of common water clarification systems.

read more

Citations
More filters
Journal ArticleDOI

A CFD-ML augmented alternative to residence time for clarification basin scaling and design

TL;DR: In this paper , the accuracy and generalizability of residence time (RT) and non-dimensional groups of basin geometric and dynamic similarity (Hazen, Reynolds, Schmidt numbers) to scale clarification basin performance (measured as PM separation and total PM separation) were examined.
Journal ArticleDOI

Benchmarking Reynolds-Averaged Navier–Stokes Turbulence Models for Water Clarification Systems

TL;DR: Turbulence is inherent in clarification basin systems; turbulence is challenging to quantify, yet directly impacting particulate matter (PM) separation in computational fluid dynamic (CFD) systems as mentioned in this paper.
Journal ArticleDOI

CFD with Evolutionary Optimization for Stormwater Basin Retrofits

TL;DR: In this paper, a quasi-steady flow hydrodynamics in stormwater basins, which are subject to highly unsteady flows and loads, function as clarifiers for particulate matter and PM-bound constituents.
Journal ArticleDOI

Interrogating common clarification models for unit operation systems with dynamic similitude.

Haochen Li, +1 more
- 01 Mar 2022 - 
TL;DR: In this article , the authors examined the predictive capability and generalizability of these common models for a hydrodynamic separator (HS), tanks, rectangular clarifiers and an urban drainage basin based on physical model data and high-fidelity large-eddy simulation.
Journal ArticleDOI

Implementing machine learning to optimize the cost-benefit of urban water clarifier geometrics.

Haochen Li, +1 more
- 01 May 2022 - 
TL;DR: In this article , the authors developed a novel optimization framework for basin geometrics with machine learning (ML), which leverages high-performance computing (HPC) and the predictive capability of CFD to provide artificial neural network (ANN) development and integrates a trained ANN model with a hybrid evolutionary-gradient-based optimization algorithm through the ANN automatic differentiation (AD) functionality.
References
More filters
Journal ArticleDOI

The numerical computation of turbulent flows

TL;DR: In this paper, the authors present a review of the applicability and applicability of numerical predictions of turbulent flow, and advocate that computational economy, range of applicability, and physical realism are best served by turbulence models in which the magnitudes of two turbulence quantities, the turbulence kinetic energy k and its dissipation rate ϵ, are calculated from transport equations solved simultaneously with those governing the mean flow behaviour.
Book

An Introduction to Fluid Dynamics

TL;DR: The dynamique des : fluides Reference Record created on 2005-11-18 is updated on 2016-08-08 and shows improvements in the quality of the data over the past decade.
MonographDOI

Turbulent Flows: FUNDAMENTALS

Journal ArticleDOI

Turbulence statistics in fully developed channel flow at low reynolds number

TL;DR: In this article, a direct numerical simulation of a turbulent channel flow is performed, where the unsteady Navier-Stokes equations are solved numerically at a Reynolds number of 3300, based on the mean centerline velocity and channel half-width, with about 4 million grid points.
Journal ArticleDOI

Spectral Methods in Fluid Dynamics.

TL;DR: In this article, the authors present a set of methods for the estimation of two-dimensional fluid flow, including a Fourier Galerkin method and a Chebyshev Collocation method.
Related Papers (5)