parallel computing. effect of hpc in the final solution...•“static structural” + ”modal...

Fluid Codes FZ LLE

Channel Partner for Middle East Fluid Codes Technical Team

Parallel Computing. Effect of HPC in the final solution

Presentation Overview

What is HPC?

Why is HPC so important?

Conclusions

An ongoing effort designed to remove computing limitations from engineers who use computer aided engineering in all phases of design, analysis, and testing.

Impact product designEnable large modelsAllow parametric studies

AssembliesCAD-to-meshCapture fidelity

Multiple design ideasOptimize the designEnsure product integrity

High Performance Computing (HPC)

Typical HPC Growth Path

Cluster UsersDesktop UserWorkstation and/or

Server Users


What is HPC?


Conclusions

Problem

Metso customers need larger-capacity jaw crushers without increased weight, a difficult challenge requiring iterative design and analysis.

Solution• ANSYS SpaceClaim to create design alternatives• ANSYS Mechanical to analyze the designs• ANSYS HPC to improve analysis efficiency

Results• Higher capacity jaw crushers designed faster and more efficiently.• FEM analysis solution efficiency increased 7 – 20X.

Juuso NänimäinenStructural AnalystMetso Minerals Oy

“We used ANSYS SpaceClaim to create design alternatives and ANSYS Mechanical to analyze the designs. ANSYS HPC played a key role by reducing the time to solve each iteration from 21 hours to 1 hour.”

What if you were achieving this kind of performance?

Application Example

Benefit of HPC Parallel- Examine More Design Variants

ObjectiveDevelop a steerable conductor for enhanced oil recovery.

ANSYS Solution • Stress analysis of hydraulic deflection

housing using ANSYS Mechanical.• Use ANSYS HPC technology to solve a typical

model with about 750K elements and many contacts in an hour or less, compared to about six hours without parallel processing.

Design ImpactParallel processing makes it possible to evaluate five to 10 design iterations per day, enabling Cognity engineers to rapidly improve their design.

Images courtesy of Cognity Ltd.

Simulation of a NOZZLE joined to a pipe by pre-stressed screws :

• Nozzles are common in the industries such as Oil & Gas, Fire Fighting, PressureVessels, etc.

• Number of nodes: 560683 Number of elements: 106286 DOF: 1682049

• Non linear analysis subjected to external loads and internal pressure. Study ofPlasticity, maximum Stresses and Deformation.

Mechanical Case study

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HPC chart for number of cores vs total simulation time

Time in Secs

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Time with 2 cores: 2.11 hTime with 24 cores: 20 minsSpeed up: 6x

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Simulation of a Bolted Joint:

• Bolted joints for metal profiles are used in a wide variety of structures such asoffshore structures, buildings, airports, bridges or monuments.

• Number of nodes: 354270 Number of elements: 66830 DOF: 1705335

• Non linear analysis subjected to the self weight of the structure and bolt pre-stresses. Study of the structure integrity, maximum Stresses and Deformation.

Mechanical Case study

Time with 2 cores: 4.2 hTime with 24 cores: 22 minsSpeed up: 12x

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Simulation of EROSION process in a T-Joint:

• Erosion is common in the industries such as Oil & Gas, Fire Fighting, Plumbing Industries, etc.

• Number of cells: 1144581

• Analysis Conditions: A Steady State flow with Turbulence model and Discrete Phase Modelling (DPM) was used to perform this simulation.

CFD Case study

Time with 1 core: 8.3 hrs.Time with 12 cores: 1.2 hrs.Speed up: 7x

Simulation Sloshing process within a Tank.

• Sloshing is caused to momentum or vibrations. This effect can be controlledby introducing some baffles within the tank. This analysis was carried out tocheck the behavior of fluid after the baffles were introduced.

• Number of cells: 5099306

• Analysis Conditions: A Steady State flow with Laminar model on FLUENTSolver was used

CFD Case study

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Time with 1 core: 42.7 hrs.Time with 24 cores: 4.5 hrsSpeed up: 9x

Faster Response in Random Vibration Analyses

Case Details:

• Dynamic Simulation of a Printed Circuit Board Assembly

• Model consists of SHELL181, SOLID186, BEAM188 and CONTA170/174 elements

• 260,000 DOFs

• PSD spectrum analysis w/ 51 modes

Hardware Configuration:

• 4 Intel Xeon E5-4650 @ 2.7GHz (32 cores total), 512 GB RAM, SSDs, Linux RHEL 6.3

Case Details:

• Dynamic Simulation of a Nuclear Island

• 50,000 DOFs

• PSD spectrum analysis w/ 300 modes

Hardware Configuration:

• 4 Intel Xeon E5-4650 @ 2.7GHz (32 cores total), 512 GB RAM, SSDs, Linux RHEL 6.3

Faster Response in Random Vibration Analyses

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AIRCRAFT_wing_2m

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CFD Benchmarks

HPC in Multiphase VOF

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oil_rig_7mmultiphase VOF

HPC Scaling

62 M Hexcore cells, with 17 prism layers

Courtesy of FCA - Italy

HLRS benchmark of a combustor case

Run from 1536 to 172032 cores

It scales well at 82% efficiency for 172032 cores

Problem Description

• Improve mixing while reducing energy

• Design objective:

– Optimize the inlet velocities within their operating limits so that both temperature spread at the outlet and pressure drop in the vessel are minimized

• Input Parameters: fluid velocity at the cold and hot inlet (8 Design Points)

Detail:

• K-Epsilon Model with Standard Wall Functions

• 52,000 nodes and 280,000 elements

Result/Benefit

• ~4.5x speedup over sequential execution

Mixing Vessel- Evaluating Boundary Conditions

inlet

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Acknowledgment: Paul Schofield and Jiaping Zhang, ANSYS Houston

Serial 4 Jobs 8 Jobs

Problem

• Determine the gas-liquid interface shape for different impeller rotation speeds

• Input parameters: impeller rotation speed (8 design points)

Detail:

• VOF, k-epsilon, Model with Standard Wall Functions

• 207,000 nodes and 1,200,000 elements

Result/Benefit


Mixing Tank- Evaluating Boundary Conditions

Acknowledgment: Valerie Gelbgras, ANSYS Belgium

Serial 4 jobs 8 jobs

Problem

• Pressure Vessel subjected to high internal pressure and subjected to acceleration in supports during earthquake

• Input parameters: vessel thickness, vessel radius, vessel height (16 design points)

Detail:

• “Static Structural” + ”Modal Analysis” + ”Response Spectrum”

• 62,439 nodes, 150,169 elements

Result/Benefit

• ~3x speedup over sequential execution

Response Spectrum of Pressure Vessel- Evaluating Geometries

Acknowledgment: Paul Schofield and Jiaping Zhang, ANSYS Houston


Problem Description

• Sensitivity study of geometry variation to seal deformation

• Design objectives:

– For temperature loading of 22°C the minimal contact pressure should not be lower than 200 psi (1.38 MPa); for temperature loading of 400°C the contact pressure should be as low as possible

– Minimize the seal volume

• Input Parameters: 15 input geometry parameters (100 design points)

Detail:

• Mechanical analysis with temperature loading

• 6,100 nodes, 5,500 (2-D) elements

Result/Benefit


Temperature Analysis of a Seal- Evaluating Geometries



What is HPC?


Conclusions

A summary of ANSYS HPC Strengths

• ANSYS High-Performance Computing (HPC) allows getting the

response of your simulation faster

• HPC adds tremendous value to engineering simulation by

enabling the creation of large, high-fidelity models.

• HPC allows you to evaluate multiple product design ideas in

less time

parallel computing. effect of hpc in the final solution...•“static structural” + ”modal...

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