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Wikipedia

pSeven

December 20, 2023

pSeven is a DSE (Design Space Exploration) software platform that was developed by DATADVANCE that features design, simulation, and analysis capabilities and assists in design decisions. It provides integration with third-party CAD and CAE software tools; multi-objective and robust optimization algorithms; data analysis, and uncertainty quantification tools.

pSeven
Developer(s)DATADVANCE LLC
Stable release
6.47 / June 20, 2023; 5 months ago (2023-06-20)
Operating systemCross-platform (Windows, Linux)
Available inEnglish
LicenseProprietary
Websitewww.pseven.io

pSeven comes under the notion of PIDO (Process Integration and Design Optimization) software. Design Space Exploration functionality is based on the mathematical algorithms of pSeven Core Python library,[1] also developed by DATADVANCE.

pSeven workflow automation capabilities and algorithms from pSeven Core laid the foundation for the development of pSeven Enterprise, a cloud-native low-code platform used for engineering automation at enterprise level.

History edit

The foundation for the pSeven Core library as pSeven's background was laid in 2003, when the researchers from the Institute for Information Transmission Problems started collaborating with Airbus to perform R&D in the domains of simulation and data analysis. The first version of pSeven Core library was created in association with EADS Innovation Works in 2009.[2] Since 2012,[3] pSeven software platform for simulation automation, data analysis , and optimization has been developed and marketed by DATADVANCE, incorporating pSeven Core.

Functionality edit

pSeven's functionality can be divided into the following blocks: Data and model Analysis, Predictive Modeling, Design Optimization and Process Integration.

Data & Model Analysis edit

pSeven provides a variety of tools for data and model analysis:

 
Design of Experiments allows exploring design space using as small number of observations as possible, enables reliable surrogate-based optimization and generates a training sample for building an accurate approximation model.

Design of Experiments edit

The design of Experiments allows controlling the process of surrogate modeling via an adaptive sampling plan, which benefits the quality of approximation. As a result, it ensures time and resource-saving on experiments and smarter decision-making based on the detailed knowledge of the design space.

Sensitivity and Dependency Analysis edit

Sensitivity and Dependence analysis are used to filter non-informative design parameters in the study, ranking the informative ones with respect to their influence on the given response function and selecting parameters that provide the best approximation. It is applied to better understand the variables affecting the design process.

Uncertainty Quantification edit

Uncertainty Quantification capabilities in pSeven[4] are based on OpenTURNS library. They are used to improve the quality of the designed products, manage potential risks at the design, manufacturing and operating stages and to guarantee product reliability.

Dimension Reduction edit

Dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables.

Predictive Modeling edit

Predictive modeling capabilities in pSeven are based on building, exploring and managing approximation models. pSeven incorporates several proprietary approximation techniques, including methods for ordered and structured data, allowing to understand behavior of user's system with minimal costs, replace expensive computations by approximation models (metamodels, RSM, surrogate models etc.) and make smarter decisions based on detailed knowledge of the design space.[5]

Design Optimization edit

Optimization algorithms implemented in pSeven allow solving single and multi-objective constrained optimization problems as well as robust and reliability based design optimization problems. Users can solve both engineering optimization problems with cheap to evaluate semi-analytical models and the problems with expensive (in terms of CPU time) objective functions and constraints.[6][7] SmartSelection technique automatically and adaptively selects the most suitable optimization algorithm for a given optimization problem from a pool of optimization methods and algorithms in pSeven.

Process Integration edit

Process integration capabilities are used to capture the design process by automating single simulation, trade-off studies and design space exploration. For that, pSeven provides tools to build and automatically run the workflow, to configure and share workflows with other design team members, to distribute computation over different computing resources, including HPC. Main process integration tools of pSeven:

Application Areas edit

pSeven's application areas are different industries such as aerospace,[8][9] automotive, energy, electronics, biomedical and others.

Application examples:

  • Multidisciplinary and multi-objective optimization of an aircraft family[10]
  • Sizing of composite structures in order to reduce their mass subject to various mechanical and manufacturing constraints
  • Construction of quick and accurate behavioral models (surrogate models) in order to enable efficient and secure exchange of models across Extended Enterprise
  • Optimization of the gas path of the steam turbine in order to improve overall turbine efficiency
  • Optimization of layered composite armor in order to reduce its weight[11]

References edit

  1. ^ "pSeven Core - DATADVANCE". www.datadvance.net. Retrieved 2016-08-03.
  2. ^ Interview of Sergey Morozov, CTO of DATADVANCE, "The Moscow Times", issue № 3 (45) 2014
  3. ^ OraResearch, Design Space Exploration Industry Timeline
  4. ^ DATADVANCE Ships pSeven v4.0 for Data Analysis, Optimization, TenLinks CAD, CAM and CAE news
  5. ^ Burnaev E., Prikhodko P., Struzik A., "Surrogate models for helicopter loads problems", Proceedings of 5th European Conference for Aerospace Science"
  6. ^ F. Gubarev, V. Kunin, A. Pospelov, "Lay-up Optimization of Laminated Composites: Mixed Approach with Exact Feasibility Bounds on Lamination Parameters"
  7. ^ Dmitry Khominich, Fedor Gubarev, Alexis Pospelov, "Shape Optimization of Rotating Disks", 20th Conference of the International Federation of Operational Research Societies, 2014
  8. ^ Airbus achieves multi-objective optimization of its aircraft families with DATADVANCE's "Macros" software
  9. ^ Skolkovo resident DATADVANCE tows Airbus through structural testing on new A350
  10. ^ Alestra S., Brand C., Druot T., Morozov S., "Multi-objective Optimization of Aircrafts [sic] Family at Conceptual Design Stage", IPDO 2013 : 4th Inverse problems, design and optimization symposium, 2013 June 26–28, Albi, ed. by O. Fudym, J.-L. Battaglia, G.S. Dulikravich et al., Albi ; Ecole des Mines d'Albi-Carmaux, 2013 (ISBN 979-10-91526-01-2)
  11. ^ A. Bragov, F. Antonov, S. Morozov, D. Khominich, "Numerical optimization of the multi-layered composite armor", Light-Weight Armour Group (LWAG) conference-2014

External links edit

  • Official website

December 20, 2023
pseven, this, article, contains, content, that, written, like, advertisement, please, help, improve, removing, promotional, content, inappropriate, external, links, adding, encyclopedic, content, written, from, neutral, point, view, january, 2021, learn, when,. This article contains content that is written like an advertisement Please help improve it by removing promotional content and inappropriate external links and by adding encyclopedic content written from a neutral point of view January 2021 Learn how and when to remove this template message pSeven is a DSE Design Space Exploration software platform that was developed by DATADVANCE that features design simulation and analysis capabilities and assists in design decisions It provides integration with third party CAD and CAE software tools multi objective and robust optimization algorithms data analysis and uncertainty quantification tools pSevenDeveloper s DATADVANCE LLCStable release6 47 June 20 2023 5 months ago 2023 06 20 Operating systemCross platform Windows Linux Available inEnglishLicenseProprietaryWebsitewww wbr pseven wbr iopSeven comes under the notion of PIDO Process Integration and Design Optimization software Design Space Exploration functionality is based on the mathematical algorithms of pSeven Core Python library 1 also developed by DATADVANCE pSeven workflow automation capabilities and algorithms from pSeven Core laid the foundation for the development of pSeven Enterprise a cloud native low code platform used for engineering automation at enterprise level Contents 1 History 2 Functionality 2 1 Data amp Model Analysis 2 1 1 Design of Experiments 2 1 2 Sensitivity and Dependency Analysis 2 1 3 Uncertainty Quantification 2 1 4 Dimension Reduction 2 2 Predictive Modeling 2 3 Design Optimization 2 4 Process Integration 3 Application Areas 4 References 5 External linksHistory editThe foundation for the pSeven Core library as pSeven s background was laid in 2003 when the researchers from the Institute for Information Transmission Problems started collaborating with Airbus to perform R amp D in the domains of simulation and data analysis The first version of pSeven Core library was created in association with EADS Innovation Works in 2009 2 Since 2012 3 pSeven software platform for simulation automation data analysis and optimization has been developed and marketed by DATADVANCE incorporating pSeven Core Functionality editpSeven s functionality can be divided into the following blocks Data and model Analysis Predictive Modeling Design Optimization and Process Integration Data amp Model Analysis edit pSeven provides a variety of tools for data and model analysis nbsp Design of Experiments allows exploring design space using as small number of observations as possible enables reliable surrogate based optimization and generates a training sample for building an accurate approximation model Design of Experiments edit The design of Experiments allows controlling the process of surrogate modeling via an adaptive sampling plan which benefits the quality of approximation As a result it ensures time and resource saving on experiments and smarter decision making based on the detailed knowledge of the design space Sensitivity and Dependency Analysis edit Sensitivity and Dependence analysis are used to filter non informative design parameters in the study ranking the informative ones with respect to their influence on the given response function and selecting parameters that provide the best approximation It is applied to better understand the variables affecting the design process Uncertainty Quantification edit Uncertainty Quantification capabilities in pSeven 4 are based on OpenTURNS library They are used to improve the quality of the designed products manage potential risks at the design manufacturing and operating stages and to guarantee product reliability Dimension Reduction edit Dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables Predictive Modeling edit Predictive modeling capabilities in pSeven are based on building exploring and managing approximation models pSeven incorporates several proprietary approximation techniques including methods for ordered and structured data allowing to understand behavior of user s system with minimal costs replace expensive computations by approximation models metamodels RSM surrogate models etc and make smarter decisions based on detailed knowledge of the design space 5 Design Optimization edit Optimization algorithms implemented in pSeven allow solving single and multi objective constrained optimization problems as well as robust and reliability based design optimization problems Users can solve both engineering optimization problems with cheap to evaluate semi analytical models and the problems with expensive in terms of CPU time objective functions and constraints 6 7 SmartSelection technique automatically and adaptively selects the most suitable optimization algorithm for a given optimization problem from a pool of optimization methods and algorithms in pSeven Process Integration edit Process integration capabilities are used to capture the design process by automating single simulation trade off studies and design space exploration For that pSeven provides tools to build and automatically run the workflow to configure and share workflows with other design team members to distribute computation over different computing resources including HPC Main process integration tools of pSeven Graphical user interface and command line interface for advanced users Comprehensive library of workflow building blocks CAD CAE integration adapters SolidWorks CATIA NX PTC Creo KOMPAS 3D ANSYS Workbench CAE solvers and other engineering tools ANSYS Mechanical ANSYS CFD FloEFD CST Microwave Studio ADAMS Simulink MATLAB Scilab Abaqus Unified FEA Nastran LS DYNA Simcenter STAR CCM OpenFOAM etc High Performance Computing HPC capabilities supported batch systems SLURM TORQUE LSF Functional Mock up Interface FMI for model exchange and co simulationApplication Areas editpSeven s application areas are different industries such as aerospace 8 9 automotive energy electronics biomedical and others Application examples Multidisciplinary and multi objective optimization of an aircraft family 10 Sizing of composite structures in order to reduce their mass subject to various mechanical and manufacturing constraints Construction of quick and accurate behavioral models surrogate models in order to enable efficient and secure exchange of models across Extended Enterprise Optimization of the gas path of the steam turbine in order to improve overall turbine efficiency Optimization of layered composite armor in order to reduce its weight 11 References edit pSeven Core DATADVANCE www datadvance net Retrieved 2016 08 03 Interview of Sergey Morozov CTO of DATADVANCE The Moscow Times issue 3 45 2014 OraResearch Design Space Exploration Industry Timeline DATADVANCE Ships pSeven v4 0 for Data Analysis Optimization TenLinks CAD CAM and CAE news Burnaev E Prikhodko P Struzik A Surrogate models for helicopter loads problems Proceedings of 5th European Conference for Aerospace Science F Gubarev V Kunin A Pospelov Lay up Optimization of Laminated Composites Mixed Approach with Exact Feasibility Bounds on Lamination Parameters Dmitry Khominich Fedor Gubarev Alexis Pospelov Shape Optimization of Rotating Disks 20th Conference of the International Federation of Operational Research Societies 2014 Airbus achieves multi objective optimization of its aircraft families with DATADVANCE s Macros software Skolkovo resident DATADVANCE tows Airbus through structural testing on new A350 Alestra S Brand C Druot T Morozov S Multi objective Optimization of Aircrafts sic Family at Conceptual Design Stage IPDO 2013 4th Inverse problems design and optimization symposium 2013 June 26 28 Albi ed by O Fudym J L Battaglia G S Dulikravich et al Albi Ecole des Mines d Albi Carmaux 2013 ISBN 979 10 91526 01 2 A Bragov F Antonov S Morozov D Khominich Numerical optimization of the multi layered composite armor Light Weight Armour Group LWAG conference 2014External links editOfficial website Retrieved from https en wikipedia org w index php title PSeven amp oldid 1188257179, wikipedia, wiki, book, books, library,

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