Helping Keep Astronauts Safe with Advanced Simulations, Visualizations

March 12, 2019

March 11, 2019 — Think back on your favorite movies about astronauts and space travel: The dramatic launch countdown, the billowing plumes and flames as the rocket engines fire up and the vehicle lifts off, the rumble and roar inside the crew capsule. In real life, research scientists in the NASA Advanced Supercomputing (NAS) Division are producing highly detailed simulations and visualizations to help keep astronauts safe during takeoff of NASA’s Orion multi-purpose crew vehicle, which will transport humans to interplanetary destinations such as the moon and eventually Mars and return them safely back to Earth.

The Orion Launch Abort Vehicle that will carry astronauts to safety in the event of a problem during launch.

The NAS scientists’ cutting-edge simulation techniques are being used to predict vibrations on the Orion spacecraft’s launch abort vehicle—part of the Orion Launch Abort System (LAS), designed to carry the crew away from the spacecraft if a problem occurs on the launch pad after ignition or during ascent. The flow simulations of Orion’s pad abort and ascent abort scenarios, run on the Pleiades supercomputer, are directly impacting the spacecraft’s design to increase astronaut safety and reduce uncertainty while keeping cost and launch abort vehicle weight down.

“This is one of the first times where large eddy simulation (LES) techniques have been used in full-scale spacecraft analysis and design at NASA,” said Francois Cadieux, a research scientist in the NAS Computational Aerosciences Branch. “I’m excited to play a part in the agency’s next big human space exploration project—this work brings LES to a point where it can provide accurate predictions within a short enough turnaround time to guide Orion’s design.” Previously, the use of such high-fidelity tools has been limited in industry, and has otherwise been relegated mostly to academic research.

With the help of LAVA developer Michael Barad, Cadieux produced a variety of turbulence-resolving computational fluid dynamics (CFD) simulations using the NAS Divison’s in-house developed Launch Ascent and Vehicle Aerodynamics (LAVA) software. NAS visualization experts then helped the researchers identify different types of vortices, which are often a source of noise and vibration on space vehicles.

350-Million Degrees of Freedom

In order to predict the flow physics around the launch abort vehicle, Navier-Stokes equations are solved on a set of 350 million adjoining cubes—ranging in size from centimeters to meters—covering every square inch of the vehicle and its immediate surroundings. The location of these cubes is adapted as the simulation progresses, in order to continually cluster them in critical regions where vortices and pressure waves are present. “Using automated, cube-based adaption enables ultra-high performance simulation of flows past complex objects, with minimal user effort,” said Barad. Cadieux produced such simulations of the Orion abort motor ground test (Qualification Motor 1, or QM-1) and three launch abort scenarios.

The Importance of Supercomputers

Cadieux’s simulations consumed close to 2.5 million hours of processing time on the Pleiades supercomputer over the past year, and produced about 700 terabytes—700 trillion bytes of data—saved on storage systems at the NAS facility.

“Pleiades is absolutely essential for running these large-scale simulations, storing the data, and post-processing the data to deliver meaningful data products,” said Computational Aerosciences Branch Chief, Cetin Kiris, who oversees NAS Division aeronautics and aerospace CFD research efforts and conceived the LAVA framework.

“It’s critical that the launch vehicle is designed to withstand the worst possible scenario, and the LAVA simulations run on Pleiades help us to accurately predict and understand how the vibrational levels change when we include the surface of the crew vehicle, and help design engineers shape the final vehicle design,” added Kiris.

Visualizations Enhance Understanding

Using Cadieux’s simulation data, NAS visualization experts created a series of high-quality images and movies revealing new flow details that further enhanced the scientists’ understanding of the flow dynamics in the launch abort motor plumes.

“From these visualizations, we were able to identify areas of high vibrational loads on the vehicle, and their sources,” said Cadieux. “What we learned is that noise coming from the turbulence of the plume is substantially higher than any noise generated from its interaction with attached shockwaves.”

NAS staff continue to run simulations and visualizations of launch abort scenarios at varying angles of attack—most recently, using data from a test conducted in the 11-by 11-ft. Unitary Plan Wind Tunnel at NASA Ames.

“We’re still asking lots of questions,” said Cadieux. “Like, how do the loads on the LAV surface change at higher angles of attack? How do we best use data from wind tunnel tests to predict loads for actual flight conditions where the vehicle is accelerating?” The answers will be used in the next series of ground tests, crew mockup tests, and critical flight tests to prepare for the real deal—the first crewed Orion flight currently scheduled for launch by 2023.


Source: Jill Dunbar, NASA

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

RIKEN Post-K Supercomputer Named After Japan’s Tallest Peak

May 23, 2019

May 23 -- RIKEN President Hiroshi Matsumoto announced that the successor to the K computer will be named Fugaku, another name for Mount Fuji, which is the tallest mountain peak in Japan. Supercomputer Fugaku, developed b Read more…

By Tiffany Trader

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or rent a phishing kit and start attacking – or it can be done Read more…

By Doug Black

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Who’s Driving Your Car?

Delivering a fully autonomous driving (AD) vehicle remains a key priority for both manufacturers and technology firms (“firms”). However, passenger safety is now a top-of-mind concern due in great part, to fatalities resulting from driving tests over the past years. Read more…

TACC’s Upgraded Ranch Data Storage System Debuts New Features, Exabyte Potential

May 22, 2019

There's a joke attributed to comedian Steven Wright that goes, "You can't have everything. Where would you put it?" Users of advanced computing can likely relate to this. The exponential growth of data poses a steep challenge to efforts for its reliable storage. For over 12 years, the Ranch system at the Texas Advanced Computing Center... Read more…

By Jorge Salazar, TACC

Cray’s Emerging Market & Technology Director Arti Garg Peers Around HPC/AI Corner

May 23, 2019

In her position as emerging market and technology director at Cray, Arti Garg doesn't just have a front-row seat to the future of computing, she plays an active role in making that future happen. Key to Garg's role is understanding how deep learning scientists are using state-of-the-art HPC infrastructures and figuring out how to push those limits further. Read more…

By Tiffany Trader

Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks

May 23, 2019

The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or re Read more…

By Doug Black

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

CCC Offers Draft 20-Year AI Roadmap; Seeks Comments

May 14, 2019

Artificial Intelligence in all its guises has captured much of the conversation in HPC and general computing today. The White House, DARPA, IARPA, and Departmen Read more…

By John Russell

Cascade Lake Shows Up to 84 Percent Gen-on-Gen Advantage on STAC Benchmarking

May 13, 2019

The Securities Technology Analysis Center (STAC) issued a report Friday comparing the performance of Intel's Cascade Lake processors with previous-gen Skylake u Read more…

By Tiffany Trader

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

ClusterVision in Bankruptcy, Fate Uncertain

February 13, 2019

ClusterVision, European HPC specialists that have built and installed over 20 Top500-ranked systems in their nearly 17-year history, appear to be in the midst o Read more…

By Tiffany Trader

Intel Reportedly in $6B Bid for Mellanox

January 30, 2019

The latest rumors and reports around an acquisition of Mellanox focus on Intel, which has reportedly offered a $6 billion bid for the high performance interconn Read more…

By Doug Black

Looking for Light Reading? NSF-backed ‘Comic Books’ Tackle Quantum Computing

January 28, 2019

Still baffled by quantum computing? How about turning to comic books (graphic novels for the well-read among you) for some clarity and a little humor on QC. The Read more…

By John Russell

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC

February 5, 2019

ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…

By John Russell

IBM Bets $2B Seeking 1000X AI Hardware Performance Boost

February 7, 2019

For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…

By Doug Black

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This