Deep learning (DL)-based Reynolds stress with its capability to leverage values of large data can be used to close Reynolds-averaged Navier-Stoke (RANS) equations. Type I and Type II machine learning (ML) frameworks are studied to investigate data and flow feature requirements while training DL-based Reynolds stress. The paper presents a method, flow features coverage mapping (FFCM), to quantif...

Numerical shape optimization for aerodynamic problems can lead to improved designs than what is possible by conventional methods. Gradient-based optimization methods require the development of adjoint codes which can be a lengthy exercise and is also not very mature for RANS-based approaches. Furthermore, they may lead to locally optimal solution only, which is not desirable, especially in a pr...

T h e covariance ma t r i x of a rotationally s y m m t r i c shape i s a scalar ident i ty ma t r i x . In this paper, w e apply this property of covariance m a t r i x t o deskew the skewed shape of rotational s y m m e t r y . T h e parameters of the deskew t rans format ion m a t r i x are solved by lett ing the covariance ma t r i x of t he t rans formed shape be equal t o a scalar ident i...

In this work, we present a hybrid solver coupling a high-order LES solver with Cartesian mesh and a RANS solver with body-fitting mesh. This hybrid solver is developed within a dual-mesh consistent hybrid framework, where LES and RANS simulations for the same flow are conducted simultaneously on different computational domains and different meshes. In the LES, an immersed boundary method with r...

We examine the growth, survival, and context of 256 novel hashtags during the 2012 U.S. presidential debates. Our analysis reveals the trajectories of hashtag use fall into two distinct classes: “winners” that emerge more quickly and are sustained for longer periods of time than other “also-rans” hashtags. We propose a “conversational vibrancy” framework to capture dynamics of hashtags based on...

This document is the final report on the definition of the inter-RAN cooperation schemes, initiated in the deliverable D4.1. It includes the mechanisms and techniques for the efficient cooperation among heterogeneous radio access networks (RANs), with focus on the cooperation between the WINNER RAN and legacy RANs specifically GSM/GPRS/UMTS and IEEE 802.11. The report has three main parts. The ...

Bertrand Rollin, CCS-2; Nicholas A. Denissen, Jon M. Reisner, Malcolm J. Andrews, XCP-4; Jimmy Fung, XCP-1 Computing requirements for simulating complex multi-physics flows are such that Reynolds averaged Navier-Stokes (RANS) models will remain the community’s chosen workhorse for years to come. Within applications of interest to LANL, such as compressible mixing, the Besnard Harlow Rauenzahn (...

We examine the growth, survival, and context of 256 novel hashtags during the 2012 U.S. presidential debates. Our analysis reveals the trajectories of hashtag use fall into two distinct classes: “winners” that emerge more quickly and are sustained for longer periods of time than other “also-rans” hashtags. We propose a “conversational vibrancy” framework to capture dynamics of hashtags based on...

Data from experiments and direct simulations of turbulence have historically been used to calibrate simple engineering models such as those based on the Reynolds-averaged Navier–Stokes (RANS) equations. In the past few years, with the availability of large and diverse datasets, researchers have begun to explore methods to systematically inform turbulence models with data, with the goal of quant...

A series of RANS-based aerodynamic shape optimization for an 800-passenger blended-wing-body aircraft is performed. A gradient-based optimization algorithm and a parallel structured multiblock RANS solver with Spalart–Allmaras turbulence model are used. The derivatives are computed using a discrete adjoint method considering both frozen-turbulence and full-turbulence assumptions. A total of 274...