Aircraft structural design optimization and other

pSeven, with its Airbus roots, brings deep experience in Aerospace disciplines and associated engineering domains. Over a decade, we have helped commercial aircraft companies, engine manufacturers, tier-one suppliers or defence and space market leaders to develop better products, faster thanks to our pSeven software framework.

pSeven, as unified environment embedding process automation, design space exploration and predictive modelling capabilities, enables multidisciplinary studies and rapid identification of optimal designs. Aerospace sector is well known for being one of the most rigorous and regulated market. Engineering activities deal with extremely complex systems sometimes operating in extreme conditions moreover highly constrained by regulation rules. Improving designs in such context requires advanced engineering methods and cutting-edge software solutions to run trade-off analysis in high dimensional space. Designs obtained thanks to decision aiding solution pSeven are best compromises between conflicting requirements such as: lower fuel consumption or CO₂ emissions, reduced noise level, higher performances and, on the other hand, lower maintenance cost or higher operating profits for various mission types. Nowadays, systems complexity and regulations constraints have reached such level that only advanced analytical tools like pSeven allow engineers to efficiently navigate in the global Design Space and make good design decisions.

Examples of results that can be achieved with pSeven:

Improved fuel consumption and reduced CO₂ emissions
Reduced maintenance cost and increased service life
Improved aerodynamic performance
Increased payload and range
Improved safety and lower accident rate
Reduced radar contact and more.

Trusted by industry leaders worldwide

Aerospace industry leaders worldwide — Airbus, Airbus Defense & Space, Airbus Helicopters, ArianeGroup, Korea Aerospace Industries, Stelia Aerospaceand others — apply pSeven at various stages of aircraft development.

Concept stage

Combine different models and data sources
Involve multiple physics
Estimate the impact of uncertainties
Run trade-offs studies
Optimize early in the design process

Design stage

Automate multidisciplinary engineering workflows
Implement scalable methodologies
Build predictive models using ML/AI
Reuse engineering data

Better design decision at early stage of development cycle

Shrink development cycle

Testimonials

“Optimization allows to get the best out of your design idea”, -
Thierry Chevalier, Chief Engineer Digital Product Development & Manufacturing at Airbus Group

“MACROS* helps Airbus to perform its trade-off studies more efficiently across all development phases and to find more opportunities in the design of the future aircraft”, -
Charles Champion, Executive Vice President Engineering, Airbus* former name of pSeven Core

Airbus achieves an ‘industry first’ with the multi-objective optimization of its aircraft families with pSeven’s “MACROS” software

Airbus to reduce lead times in numerical analysis activities for aircraft design

October 14, 2021

Recording of the presentation "Removing general aviation from the environmental equation"

Presentation by Jean Botti, VoltAero, at pSeven User Conference 2021

October 14, 2021

Recording of the presentation "RSM surrogate model under monotonic constraint for enhanced system monitoring and control"

Presentation by Quentin Courjeau, Air Systems Engineer, Liebherr Aerospace

October 9, 2020

Recording of the presentation "Using pSeven in the fatigue tests of the passenger aircraft"

Presentation by Anton Snigirov, Design Engineer, IRKUT at pSeven User Conference 2020

October 9, 2020

Recording of the presentation "Airfoil trailing-edge optimization for noise reduction"

Presentation by Pavel Kholodov, Université de Sherbrooke, DATADVANCE User Conference 2020

July 9, 2019

Bi-level airfoil optimization

Determining the airfoil geometry with a maximal range of angles of attack with a positive derivative of the lift coefficient over α - a crucial characteristic for the proper back reaction of the helicopter horizontal tail stabilizer.

February 8, 2019

pSeven Facilitates Multidisciplinary Collaboration for Liebherr-Aerospace Toulouse

Based on the results of an extended benchmark analysis of PIDO tools, Liebherr-Aerospace, a leading supplier of systems for the aviation industry, opts for pSeven.

November 30, 2018

Multidisciplinary optimization of UAV structural parameters and flight dynamics

Skoltech student team used pSeven to integrate different simulation tools into a single workflow and to optimize tube-launched UAV characteristics.

July 5, 2018

Accurate prediction of static and dynamic loads for helicopters

Using predictive models to estimate loads for helicopter components allowed for a drastic reducing of customer expenditures.

By Alan Struzik, Airbus Helicopters

Solutions for Aerospace