Abstract

Design optimization of flexible multibody dynamics is critical to reducing weight and therefore increasing efficiency and lowering costs of mechanical systems. Simulation of flexible multibody systems, though, typically requires high computational effort which limits the usage of design optimization, especially when gradient-free methods are used and thousands of system evaluations are required. Efficient design optimization of flexible multibody dynamics is enabled by gradient-based optimization methods in concert with analytical sensitivity analysis. The present study summarizes different formulations of the equations of motion of flexible multibody dynamics. Design optimization techniques are introduced, and applications to flexible multibody dynamics are categorized. Efficient sensitivity analysis is the centerpiece of gradient-based design optimization, and sensitivity methods are introduced. The increased implementation effort of analytical sensitivity analysis is rewarded with high computational efficiency. An exemplary solution strategy for system and sensitivity evaluations is shown with the analytical direct differentiation method. Extensive literature sources are shown related to recent research activities.

Highlights

  • Design optimization finds the best possible engineering design by minimizing or maximizing an objective function, while physical and mathematical design constraints are fulfilled by means of mathematical algorithms

  • This review introduces the main topics for design optimization of flexible multibody dynamics and reviews concepts and studies in this field

  • Flexible multibody dynamics can exhibit high computational effort and as such the necessary time can limit the application of design optimization

Read more

Summary

Introduction

Design optimization finds the best possible engineering design by minimizing or maximizing an objective function, while physical and mathematical design constraints are fulfilled by means of mathematical algorithms. A first study of numerical structural optimization. Design optimization of flexible multibody systems can be categorized into two main approaches. The design problem formulation is based on time-domain responses coming directly from the multibody system analysis. The second approach is based on approximation models for the optimization values such as equivalent static loading [30]. Mixed formulation in which only the sensitivities are approximated is possible. This review introduces the main topics for design optimization of flexible multibody dynamics and reviews concepts and studies in this field. The flexible multibody system formulations are introduced in Sect. 2. An introduction to design optimizations and an overview of optimization algorithms, optimization types, optimization formulations, and response models are given in Sect. 3. Available methods for sensitivity analysis are introduced, and Sect.

Flexible multibody formulations
Floating frame of reference formulation
Absolute nodal coordinate formulation
Absolute coordinate formulation
Summary of formulations
Time integration
Nonlinear solver
Design optimization of flexible multibody systems
Optimization algorithms
Types of design optimization
Design optimization formulations for flexible multibody systems
Design variables
Response models in design optimization
Design sensitivity analysis of flexible multibody systems
Sensitivity analysis for governing equations
Sensitivity analysis for time integration
Sensitivity analysis for the nonlinear solver
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call