We consider model order reduction of mechanical systems with moving loads. Such systems have a time-varying input matrix that makes it difficult the direct application of standard model reduction methods. In this paper, we present a two-step model reduction approach for systems with moving loads which is based on a low-rank approximation of the input matrix and applying Krylov subspace methods to the resulting linear time-invariant system with a modified input. Numerical results demonstrate the properties of the proposed model reduction method
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
In this chapter, the problem of constructing a reduced order system while preserving the second orde...
In this paper we consider two different model reduction approaches for elastic multibody systems wit...
In this paper the Krylov subspace method is investigated regarding its use for the vibration analysi...
This paper addresses issues related to the order reduction of systems with multiple input/output por...
Abstract: This paper presents an approach for model order reduction of linear rotordynamical systems...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
Complex dynamic linear systems of equations are solved by numerical iterative methods, which need mu...
A parametric model order reduction scheme is presented for second order systems that does not requir...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
We present a theory for reduced order modeling of linear time-varying system, together with techniqu...
Numerical simulations of the behavior of machine tools are usually based on a finite element (FE) di...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
In this chapter, the problem of constructing a reduced order system while preserving the second orde...
In this paper we consider two different model reduction approaches for elastic multibody systems wit...
In this paper the Krylov subspace method is investigated regarding its use for the vibration analysi...
This paper addresses issues related to the order reduction of systems with multiple input/output por...
Abstract: This paper presents an approach for model order reduction of linear rotordynamical systems...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
Complex dynamic linear systems of equations are solved by numerical iterative methods, which need mu...
A parametric model order reduction scheme is presented for second order systems that does not requir...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
We present a theory for reduced order modeling of linear time-varying system, together with techniqu...
Numerical simulations of the behavior of machine tools are usually based on a finite element (FE) di...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
In this chapter, the problem of constructing a reduced order system while preserving the second orde...