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NASA Furthers Aeronautical Innovation Using Model-Based Systems


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Preparations for Next Moonwalk Simulations Underway (and Underwater)

A jet airplane designed with the help of model-based systems engineering  flies above clouds at dusk.
An artist’s concept of the X-66 aircraft Boeing will produce through NASA’s Sustainable Flight Demonstrator project. The aircraft, designed to prove the concept of more aerodynamic, fuel-efficient transonic truss-braced wings, is an example of the type of project model-based systems analysis and engineering will provide benefits to.
Boeing

As NASA continues cutting-edge aeronautics research, the agency also is taking steps to make sure the benefits from these diverse technologies are greater than the sum of their parts.

To tackle that challenge, NASA is using Model-Based Systems Analysis and Engineering (MBSAE). This type of engineering digitally simulates how multiple technologies could best work together as a single, complex system. It is performed using advanced digital tools and computing programs.

The goal: Optimize the next generation of 21st-century aviation technology.

Model Benefits

“MBSAE provides a way to envision how all these technologies, being developed separately, can all fit together in the end,” said Eric Hendricks, who leads MBSAE integration efforts for NASA’s Aeronautics Research Mission Directorate at NASA Headquarters in Washington.

By using this form of digital engineering, NASA’s aeronautical innovators can have a better idea of how their research in one area (say, ultra-efficient airliners) could best benefit, and work in tandem, with another area (say, future airspace safety).

Using detailed, customizable digital models, researchers can simulate these complex systems working together with a high degree of accuracy and then figure out how the greatest benefits could be achieved.

“As we move toward these advanced systems, MBSAE can connect different disciplines and determine how to eke out the best performance,” Hendricks said.

That process feeds back into the research itself, helping researchers to significantly improve aviation’s sustainability – amongst other goals.

Zeroing In

MBSAE does more than integrating complex systems, however. Each system, individually, can be optimized using MBSAE tools.

“Before the technology is even fully developed, we can run highly accurate digital simulations that inform the research itself,” Hendricks said. “A digital flight test is a lot simpler and less costly than a real flight test.”

For example, one of NASA’s new MBSAE tools, Aviary, includes the ability to consider gradients. That means Aviary can figure out how to more efficiently optimize a given technology.

Say a researcher would like to know which type of battery is needed to power an airplane during a certain maneuver. The researcher inputs information about the airplane, the maneuver, and battery technologies into Aviary, then Aviary goes and runs digital flight tests and comes back with which type of battery worked best.

Digital flights tests like this can be done for myriad other areas as well, ranging from an aircraft’s overall shape to the size of its engine core, its electrical systems, and beyond. Then, the digital flight tests can help figure out how to combine these systems in the most effective way.

Digital Era Aeronautics

Another way MBSAE can come in handy is the scale of these aviation transformations.

With demand for single-aisle airliners expected to rise dramatically in the coming decades, measuring the emissions reductions from a certain wing design, for example, would not just extend to one aircraft, but also an entire fleet.

“We’ll be able to take what we learn from our sustainable aviation projects and simulate the technology entering the fleet at certain points,” said Rich Wahls, NASA’s mission integration manager for the Sustainable Flight National Partnership at NASA Headquarters. “We can model the fleet itself to see how much more sustainable these technologies are across the board.”

Ultimately, MBSAE also represents a new era in aeronautical innovation – both at NASA and in the aviation industry, with whom NASA is working closely to ensure its MBSAE efforts are cross compatible on an opensource platform.

“The MBSAE team has lots of early-to-mid career folks,” Hendricks said. “It’s great to see the younger generation get involved and even take the lead, especially since these digital efforts can facilitate knowledge transfer as well.”

About the Author

John Gould

John Gould

Aeronautics Research Mission Directorate

John Gould is a member of NASA Aeronautics' Strategic Communications team at NASA Headquarters in Washington, DC. He is dedicated to public service and NASA’s leading role in scientific exploration. Prior to working for NASA Aeronautics, he was a spaceflight historian and writer, having a lifelong passion for space and aviation.

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      5 Min Read NASA’s Ames Research Center Celebrates 85 Years of Innovation
      The NACA Ames laboratory in 1944 Credits: NASA Ames Research Center in California’s Silicon Valley pre-dates a lot of things. The center existed before NASA – the very space and aeronautics agency it’s a critical part of today. And of all the marvelous advancements in science and technology that have fundamentally changed our lives over the last 85 years since its founding, one aspect has remained steadfast; an enduring commitment to what’s known by some on-center simply as, “an atmosphere of freedom.” 
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      Joseph sweetman ames
      Founding member of the N.A.C.A.
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      Russell Robinson momentarily looks to the camera while supervising the first excavation at what would become Ames Research Center.NACA “In the context of my work, an atmosphere of freedom means the freedom to pursue high-risk, high-reward, innovative ideas that may take time to fully develop and — most importantly — the opportunity to put them into practice for the benefit of all,” said Edward Balaban, a researcher at Ames specializing in artificial intelligence, robotics, and advanced mission concepts.
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      Before NASA, Before Silicon Valley: The 1939 Founding of Ames Aeronautical Laboratory “In the fields of aeronautics and space exploration the cost of entry can be quite high. For commercial enterprises and universities pursuing longer term ideas and putting them into practice often means partnering up with an organization such as NASA that has the scale and multi-disciplinary expertise to mature these ideas for real-world applications,” added Balaban.
      “Certainly, the topics of inquiry, the academic freedom, and the benefit to the public good are what has kept me at Ames,” reflected Ross Beyer, a planetary scientist with the SETI Institute at Ames. “There’s not a lot of commercial incentive to study other planets, for example, but maybe there will be soon. In the meantime, only with government funding and agencies like NASA can we develop missions to explore the unknown in order to make important fundamental science discoveries and broadly share them.”
      For Beyer, his boundary-breaking moment came when he searched – and found – software engineers at Ames capable and passionate about open-source software to generate accurate, high-resolution, texture-mapped, 3D terrain models from stereo image pairs. He and other teams of NASA scientists have since applied that software to study and better understand everything from changes in snow and ice characteristics on Earth, as well as features like craters, mountains, and caves on Mars or the Moon. This capability is part of the Artemis campaign, through which NASA will establish a long-term presence at the Moon for scientific exploration with commercial and international partners. The mission is to learn how to live and work away from home, promote the peaceful use of space, and prepare for future human exploration of Mars. 
      “As NASA and private companies send missions to the Moon, they need to plan landing sites and understand the local environment, and our software is freely available for anyone to use,” Beyer said. “Years ago, our management could easily have said ‘No, let’s keep this software to ourselves; it gives us a competitive advantage.’ They didn’t, and I believe that NASA writ large allows you to work on things and share those things and not hold them back.” 
      When looking forward to what the next 85 years might bring, researchers shared a belief that advancements in technology and opportunities to innovate are as expansive as space itself, but like all living things, they need a healthy atmosphere to thrive. Balaban offered, “This freedom to innovate is precious and cannot be taken for granted. It can easily fall victim if left unprotected. It is absolutely critical to retain it going forward, to ensure our nation’s continuing vitality and the strength of the other freedoms we enjoy.”
      Ames Aeronautical Laboratory.NACAView the full article
    • By NASA
      4 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      NASA/Quincy Eggert NASA’s Armstrong Flight Research Center in Edwards, California, is preparing today for tomorrow’s mission. Supersonic flight, next generation aircraft, advanced air mobility, climate changes, human exploration of space, and the next innovation are just some of the topics our researchers, engineers, and mission support teams focused on in 2024.
      NASA Armstrong began 2024 with the public debut of the X-59 quiet supersonic research aircraft. Through the unique design of the X-59, NASA aims to reduce the sonic boom to make it much quieter, potentially opening the future to commercial supersonic flight over land. Throughout the first part of the year, NASA and international researchers studied air quality across Asia as part of a global effort to better understand the air we breathe. Later in the year, for the first time, a NASA-funded researcher conducted an experiment aboard a commercial suborbital rocket, studying how changes in gravity during spaceflight affect plant biology.
      Here’s a look at more NASA Armstrong accomplishments throughout 2024:
      Our simulation team began work on NASA’s X-66 simulator, which will use an MD-90 cockpit and allow pilots and engineers to run real-life scenarios in a safe environment. NASA Armstrong engineers completed and tested a model of a truss-braced wing design, laying the groundwork for improved commercial aircraft aerodynamics. NASA’s Advanced Air Mobility mission and supporting projects worked with industry partners who are building innovative new aircraft like electric air taxis. We explored how these new designs may help passengers and cargo move between and inside cities efficiently. The team began testing with a custom virtual reality flight simulator to explore the air taxi ride experience. This will help designers create new aircraft with passenger comfort in mind. Researchers also tested a new technology that will help self-flying aircraft avoid hazards. A NASA-developed computer software tool called OVERFLOW helped several air taxi companies predict aircraft noise and aerodynamic performance. This tool allows manufacturers to see how new design elements would perform, saving the aerospace industry time and money. Our engineers designed a camera pod with sensors at NASA Armstrong to help advance computer vision for autonomous aviation and flew this pod at NASA’s Kennedy Space Center in Florida. NASA’s Quesst mission marked a major milestone with the start of tests on the engine that will power the quiet supersonic X-59 experimental aircraft. In February and March, NASA joined international researchers in Asia to investigate pollution sources. The now retired DC-8 and NASA Langley Gulfstream III aircraft collected air measurements over the Philippines, South Korea, Malaysia, Thailand, and Taiwan. Combined with ground and satellite observations, these measurements continue to enrich global discussions about pollution origins and solutions. The Gulfstream IV joined NASA Armstrong’s fleet of airborne science platforms. Our teams modified the aircraft to accommodate a next-generation science instrument that will collect terrain information of the Earth in a more capable, versatile, and maintainable way. The ER-2 and the King Air supported the development of spaceborne instruments by testing them in suborbital settings. On the Plankton, Aerosol, Cloud, ocean Ecosystem Postlaunch Airborne eXperiment mission (PACE-PAX), the ER-2 validated data collected by the PACE satellite about the ocean, atmosphere, and surfaces. Operating over several countries, researchers onboard NASA’s C-20A collected data and images of Earth’s surface to understand global ecosystems, natural hazards, and land surface changes. Following Hurricane Milton, the C-20A flew over affected areas to collect data that could help inform disaster response in the future. We also tested nighttime precision landing technologies that safely deliver spacecraft to hazardous locations with limited visibility. With the goal to improve firefighter safety, NASA, the U.S. Forest Service, and industry tested a cell tower in the sky. The system successfully provided persistent cell coverage, enabling real-time communication between firefighters and command posts. Using a 1960s concept wingless, powered aircraft design, we built and tested an atmospheric probe to better and more economically explore giant planets. NASA Armstrong hosted its first Ideas to Flight workshop, where subject matter experts shared how to accelerate research ideas and technology development through flight. These are just some of NASA Armstrong’s many innovative research efforts that support NASA’s mission to explore the secrets of the universe for the benefit of all.
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      Last Updated Dec 20, 2024 EditorDede DiniusContactSarah Mannsarah.mann@nasa.govLocationArmstrong Flight Research Center Related Terms
      Armstrong Flight Research Center Advanced Air Mobility Aeronautics C-20A DC-8 Earth Science ER-2 Flight Opportunities Program Quesst (X-59) Sustainable Flight Demonstrator Explore More
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    • By NASA
      Download PDF: Statistical Analysis Using Random Forest Algorithm Provides Key Insights into Parachute Energy Modulator System

      Energy modulators (EM), also known as energy absorbers, are safety-critical components that are used to control shocks and impulses in a load path. EMs are textile devices typically manufactured out of nylon, Kevlar® and other materials, and control loads by breaking rows of stitches that bind a strong base webbing together as shown in Figure 1. A familiar EM application is a fall-protection harness used by workers to prevent injury from shock loads when the harness arrests a fall. EMs are also widely used in parachute systems to control shock loads experienced during the various stages of parachute system deployment.
      Random forest is an innovative algorithm for data classification used in statistics and machine learning. It is an easy to use and highly flexible ensemble learning method. The random forest algorithm is capable of modeling both categorical and continuous data and can handle large datasets, making it applicable in many situations. It also makes it easy to evaluate the relative importance of variables and maintains accuracy even when a dataset has missing values.
      Random forests model the relationship between a response variable and a set of predictor or independent variables by creating a collection of decision trees. Each decision tree is built from a random sample of the data. The individual trees are then combined through methods such as averaging or voting to determine the final prediction (Figure 2). A decision tree is a non-parametric supervised learning algorithm that partitions the data using a series of branching binary decisions. Decision trees inherently identify key features of the data and provide a ranking of the contribution of each feature based on when it becomes relevant. This capability can be used to determine the relative importance of the input variables (Figure 3). Decision trees are useful for exploring relationships but can have poor accuracy unless they are combined into random forests or other tree-based models.
      The performance of a random forest can be evaluated using out-of-bag error and cross-validation techniques. Random forests often use random sampling with replacement from the original dataset to create each decision tree. This is also known as bootstrap sampling and forms a bootstrap forest. The data included in the bootstrap sample are referred to as in-the-bag, while the data not selected are out-of-bag. Since the out-of-bag data were not used to generate the decision tree, they can be used as an internal measure of the accuracy of the model. Cross-validation can be used to assess how well the results of a random forest model will generalize to an independent dataset. In this approach, the data are split into a training dataset used to generate the decision trees and build the model and a validation dataset used to evaluate the model’s performance. Evaluating the model on the independent validation dataset provides an estimate of how accurately the model will perform in practice and helps avoid problems such as overfitting or sampling bias. A good model performs well on
      both the training data and the validation data.
      The complex nature of the EM system made it difficult for the team to identify how various parameters influenced EM behavior. A bootstrap forest analysis was applied to the test dataset and was able to identify five key variables associated with higher probability of damage and/or anomalous behavior. The identified key variables provided a basis for further testing and redesign of the EM system. These results also provided essential insight to the investigation and aided in development of flight rationale for future use cases.
      For information, contact Dr. Sara R. Wilson. sara.r.wilson@nasa.gov
      View the full article
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