Weapons Systems, Army STTR, Phase I
Modeling Tools for Army Vehicle (Tanks and Rotorcraft) Mobility Applications
Objective
Businesses must incorporate new mathematical constructs and high-fidelity design tools to predict fluid-structure interactions of Army vehicle (tanks and rotorcraft).
Description
The United States Army seeks to advance its capabilities in aerodynamic analysis and design for a wide range of vehicles. The Army sees a critical need to understand and optimize flight characteristics across various mobility applications.
The Army wants to develop high-fidelity, computationally-efficient solvers for the aerodynamic analysis and design of vehicles ranging from rotary-wing aircrafts to medium/long-range hypersonic projectiles. The Army has unique gaps in understanding the flight characteristics (e.g., mobility applications, including gas-turbine engine flow and heat transfer analysis for vehicles that include these propulsion systems) and extreme-event mitigation. This includes air-blast FSI modeling and simulation for Army vehicles and structures.
Isogeometric analysis brings superior accuracy to spatial and temporal discretization in fluid and structural mechanics simulations. Complex-geometry, non-uniform rational B-spline surfaces mesh generation tools developed in recent years make IGA simulations more applicable to real-world problems in fluids, structures and fluid–structure interaction. This makes it more practical and widespread. However, bringing even higher fidelity and efficiency to IGA FSI simulations will require mid-processing tools.
The mid-processing tools should include more effective, unstructured IGA discretization and mesh refinement tools such as T-splines, subdivision and locally refined B-splines. The correct prediction of hypersonic boundary layer transition locations, turbulent heat fluxes and vortical structures of high-speed wakes are of paramount importance in enabling the prediction of a next generation hypersonic vehicle’s performance.
In conclusion, enhancing the fidelity and efficiency of IGA FSI simulations represents a critical competency that provides the Army with advanced aerodynamic analysis and design capabilities.
Phase I
The Phase I effort shall carefully assess the:
- More effective unstructured IGA discretization and mesh refinement tools such as T-splines, subdivision, and locally refined B-splines.
- Advanced IGA mesh moving tools, including the method based on fiber-reinforced hyper elasticity that significantly increases the scope and accuracy of the IGA FSI computations with body-fitted methods.
- Tools that will make it simpler for fluid mechanics and FSI simulations carried out with the variational multiscale method to use more sophisticated and better-performing stabilization parameters such as those targeting IGA discretization. These parameters play a key role in the stability and accuracy of VMS computations.
- Visualization tools that will give users a better understanding of the performance of the IGA computational methods to help them steer the simulations to even higher fidelity.
One of the Phase I outcomes will be the Phase II schedule outline focused on implementing advanced IGA mesh moving tools. Another outcome will be a report summarizing the assessments, a plan to move forward, an estimate of the increased fidelity possible through I-IV or a recommendation for a prioritization of which technologies would be most likely to significantly enhance design tools.
Phase II
In Phase II the vendor will develop the following mid-processing tools:
- Advanced IGA mesh moving tools, such as the method based on fiber-reinforced hyper elasticity, increase the scope and accuracy of the IGA FSI computations via body-fitted methods.
- Tools that will make it simpler for FSI simulations carried out with the variational multiscale method to use more sophisticated and better-performing stabilization parameters, including those targeting IGA discretization. These parameters play a key role in the stability and accuracy of the VMS computations.
- Visualization tools that will give users a better understanding of the performance of the IGA computational methods to help them steer the simulations to even higher fidelity.
Phase III
Vendors should collaborate with model, software developers and users on integration of products into a Long-Range Precision Fires application. Businesses must optimize the toolset to accommodate new advances in the technology to deliver high-speed weapons in anti-access/area-denial environments. Vendors should transition the technology to an appropriate government agency or prime defense contractor for integration and testing. They must also integrate and validate the functional aerothermodynamic tools into a real-world development or acquisition program.
Submission Information
All eligible businesses must submit proposals by noon ET.
To view full solicitation details, click here.
For more information, and to submit your full proposal package, visit the DSIP Portal.
STTR Help Desk: usarmy.rtp.devcom-arl.mbx.sttr-pmo@army.mil
References:
- T.J.R. Hughes, J.A. Cottrell, and Y. Bazilevs,“Isogeometric analysis: CAD, finite elements, NURBS, exact geometry, and mesh refinement”, Computer Methods in Applied Mechanics and Engineering, 194 (2005) 4135-4195.;
- Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Space–time VMS computational flow analysis with isogeometric discretization and a general-purpose NURBS mesh generation method”, Computers & Fluids, 158 (2017) 189-200.
- T.E. Tezduyar, K. Takizawa, and Y. Bazilevs, “Isogeometric analysis in computation of complex-geometry flow problems with moving boundaries and interfaces”, Mathematical Models and Methods in Applied Sciences, to appear (2023).
- E. Wobbes, Y. Bazilevs, T. Kuraishi, Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Advanced IGA mesh generation and application to structural vibrations”, to appear as a chapter in Frontiers in Computational Fluid-Structure Interaction and Flow Simulation: Research from Lead Investigators under Forty – 2023, Modeling and Simulation in Science, Engineering and Technology, Springer (2023).
- T. Kuraishi, Z. Xu, K. Takizawa, T.E. Tezduyar, and S. Yamasaki, “High-resolution multi-domain space-time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation”, Computational Mechanics, 70 (2022) 1257-1279.
- Y. Bazilevs, V.M. Calo, J.A. Cottrell, J. Evans, T.J.R. Hughes, S. Lipton, M.A. Scott, and T.W. Sederberg, “Isogeometric analysis using T-splines,” Computer Methods in Applied Mechanics and Engineering, 199 (2010) 229-263.
- F. Cirak, M.J. Scott, E.K. Antonsson, M. Ortiz, and P. Schröder, “Integrated modeling, finite-element analysis, and engineering design for thin-shell structures using subdivision”, Computer Aided Design, 34 (2002) 137-148.
- K.A. Johannessen, T. Kvamsdal, and T. Dokken, “Isogeometric analysis using LR B-splines”, Computer Methods in Applied Mechanics and Engineering, 269 (2014) 471-514.
- K. Takizawa, T.E. Tezduyar, and R. Avsar, “A low-distortion mesh moving method based on fiber-reinforced hyperelasticity and optimized zero-stress state”, Computational Mechanics, 65 (2020) 1567-1591.
- Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Element length calculation in B-spline meshes for complex geometries”, Computational Mechanics, 65 (2020) 1085-1103.
- Fluid-Structure interactions, hyperelasticity, modeling, design, tools, air vehicles
Objective
Businesses must incorporate new mathematical constructs and high-fidelity design tools to predict fluid-structure interactions of Army vehicle (tanks and rotorcraft).
Description
The United States Army seeks to advance its capabilities in aerodynamic analysis and design for a wide range of vehicles. The Army sees a critical need to understand and optimize flight characteristics across various mobility applications.
The Army wants to develop high-fidelity, computationally-efficient solvers for the aerodynamic analysis and design of vehicles ranging from rotary-wing aircrafts to medium/long-range hypersonic projectiles. The Army has unique gaps in understanding the flight characteristics (e.g., mobility applications, including gas-turbine engine flow and heat transfer analysis for vehicles that include these propulsion systems) and extreme-event mitigation. This includes air-blast FSI modeling and simulation for Army vehicles and structures.
Isogeometric analysis brings superior accuracy to spatial and temporal discretization in fluid and structural mechanics simulations. Complex-geometry, non-uniform rational B-spline surfaces mesh generation tools developed in recent years make IGA simulations more applicable to real-world problems in fluids, structures and fluid–structure interaction. This makes it more practical and widespread. However, bringing even higher fidelity and efficiency to IGA FSI simulations will require mid-processing tools.
The mid-processing tools should include more effective, unstructured IGA discretization and mesh refinement tools such as T-splines, subdivision and locally refined B-splines. The correct prediction of hypersonic boundary layer transition locations, turbulent heat fluxes and vortical structures of high-speed wakes are of paramount importance in enabling the prediction of a next generation hypersonic vehicle’s performance.
In conclusion, enhancing the fidelity and efficiency of IGA FSI simulations represents a critical competency that provides the Army with advanced aerodynamic analysis and design capabilities.
Phase I
The Phase I effort shall carefully assess the:
- More effective unstructured IGA discretization and mesh refinement tools such as T-splines, subdivision, and locally refined B-splines.
- Advanced IGA mesh moving tools, including the method based on fiber-reinforced hyper elasticity that significantly increases the scope and accuracy of the IGA FSI computations with body-fitted methods.
- Tools that will make it simpler for fluid mechanics and FSI simulations carried out with the variational multiscale method to use more sophisticated and better-performing stabilization parameters such as those targeting IGA discretization. These parameters play a key role in the stability and accuracy of VMS computations.
- Visualization tools that will give users a better understanding of the performance of the IGA computational methods to help them steer the simulations to even higher fidelity.
One of the Phase I outcomes will be the Phase II schedule outline focused on implementing advanced IGA mesh moving tools. Another outcome will be a report summarizing the assessments, a plan to move forward, an estimate of the increased fidelity possible through I-IV or a recommendation for a prioritization of which technologies would be most likely to significantly enhance design tools.
Phase II
In Phase II the vendor will develop the following mid-processing tools:
- Advanced IGA mesh moving tools, such as the method based on fiber-reinforced hyper elasticity, increase the scope and accuracy of the IGA FSI computations via body-fitted methods.
- Tools that will make it simpler for FSI simulations carried out with the variational multiscale method to use more sophisticated and better-performing stabilization parameters, including those targeting IGA discretization. These parameters play a key role in the stability and accuracy of the VMS computations.
- Visualization tools that will give users a better understanding of the performance of the IGA computational methods to help them steer the simulations to even higher fidelity.
Phase III
Vendors should collaborate with model, software developers and users on integration of products into a Long-Range Precision Fires application. Businesses must optimize the toolset to accommodate new advances in the technology to deliver high-speed weapons in anti-access/area-denial environments. Vendors should transition the technology to an appropriate government agency or prime defense contractor for integration and testing. They must also integrate and validate the functional aerothermodynamic tools into a real-world development or acquisition program.
Submission Information
All eligible businesses must submit proposals by noon ET.
To view full solicitation details, click here.
For more information, and to submit your full proposal package, visit the DSIP Portal.
STTR Help Desk: usarmy.rtp.devcom-arl.mbx.sttr-pmo@army.mil
References:
- T.J.R. Hughes, J.A. Cottrell, and Y. Bazilevs,“Isogeometric analysis: CAD, finite elements, NURBS, exact geometry, and mesh refinement”, Computer Methods in Applied Mechanics and Engineering, 194 (2005) 4135-4195.;
- Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Space–time VMS computational flow analysis with isogeometric discretization and a general-purpose NURBS mesh generation method”, Computers & Fluids, 158 (2017) 189-200.
- T.E. Tezduyar, K. Takizawa, and Y. Bazilevs, “Isogeometric analysis in computation of complex-geometry flow problems with moving boundaries and interfaces”, Mathematical Models and Methods in Applied Sciences, to appear (2023).
- E. Wobbes, Y. Bazilevs, T. Kuraishi, Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Advanced IGA mesh generation and application to structural vibrations”, to appear as a chapter in Frontiers in Computational Fluid-Structure Interaction and Flow Simulation: Research from Lead Investigators under Forty – 2023, Modeling and Simulation in Science, Engineering and Technology, Springer (2023).
- T. Kuraishi, Z. Xu, K. Takizawa, T.E. Tezduyar, and S. Yamasaki, “High-resolution multi-domain space-time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation”, Computational Mechanics, 70 (2022) 1257-1279.
- Y. Bazilevs, V.M. Calo, J.A. Cottrell, J. Evans, T.J.R. Hughes, S. Lipton, M.A. Scott, and T.W. Sederberg, “Isogeometric analysis using T-splines,” Computer Methods in Applied Mechanics and Engineering, 199 (2010) 229-263.
- F. Cirak, M.J. Scott, E.K. Antonsson, M. Ortiz, and P. Schröder, “Integrated modeling, finite-element analysis, and engineering design for thin-shell structures using subdivision”, Computer Aided Design, 34 (2002) 137-148.
- K.A. Johannessen, T. Kvamsdal, and T. Dokken, “Isogeometric analysis using LR B-splines”, Computer Methods in Applied Mechanics and Engineering, 269 (2014) 471-514.
- K. Takizawa, T.E. Tezduyar, and R. Avsar, “A low-distortion mesh moving method based on fiber-reinforced hyperelasticity and optimized zero-stress state”, Computational Mechanics, 65 (2020) 1567-1591.
- Y. Otoguro, K. Takizawa, and T.E. Tezduyar, “Element length calculation in B-spline meshes for complex geometries”, Computational Mechanics, 65 (2020) 1085-1103.
- Fluid-Structure interactions, hyperelasticity, modeling, design, tools, air vehicles