Structural optimization of crash related problems usually involves nonlinearities in geometry, material, and contact. The Equivalent Static Load (ESL) method provides a method to solve such problems. It has previously been extended to employ an individual Finite Element model describing the deformed geometry at each considered time step under the name Difference-based Equivalent Static Load (DiESL) method. This paper demonstrates how an appropriate selection of the time steps in each cycle can further improve the convergence behavior of the DiESL method. It is shown that the adaptive selection of time steps leads to better objective values and more reliable convergence to the presumed global optimum. Furthermore the DiESL extension enables ...
Abstract: In a vehicle rollover accident, the strength of the roof structure is an important factor ...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...
Structural optimization of crash related problems usually involves nonlinearities in geometry, mater...
The equivalent static load (ESL) method is a powerful approach to solve dynamic response structural ...
Automobile crash optimization is nonlinear dynamic response structural optimization that uses highly...
Linear static response structural optimization has been developed fairly well by using the finite el...
Automobile crash optimization is nonlinear dynamic response structural optimization that should use ...
The equivalent static load (ESL) method is a powerful approach to solve dynamic response structural ...
It is well known that nonlinear dynamic response optimization using a conventional optimization algo...
Although the capability of the computer has been developed and numerical algorithms have been advanc...
Vehicle crash optimization is a representative non-linear dynamic response structural optimization t...
Most topology optimization techniques find the optimal layout of a structure under static loads. Som...
A novel method for nonlinear dynamic response topology optimization is proposed using the equivalent...
In the real world, structural systems may not have linear static characteristics. However, structura...
Abstract: In a vehicle rollover accident, the strength of the roof structure is an important factor ...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...
Structural optimization of crash related problems usually involves nonlinearities in geometry, mater...
The equivalent static load (ESL) method is a powerful approach to solve dynamic response structural ...
Automobile crash optimization is nonlinear dynamic response structural optimization that uses highly...
Linear static response structural optimization has been developed fairly well by using the finite el...
Automobile crash optimization is nonlinear dynamic response structural optimization that should use ...
The equivalent static load (ESL) method is a powerful approach to solve dynamic response structural ...
It is well known that nonlinear dynamic response optimization using a conventional optimization algo...
Although the capability of the computer has been developed and numerical algorithms have been advanc...
Vehicle crash optimization is a representative non-linear dynamic response structural optimization t...
Most topology optimization techniques find the optimal layout of a structure under static loads. Som...
A novel method for nonlinear dynamic response topology optimization is proposed using the equivalent...
In the real world, structural systems may not have linear static characteristics. However, structura...
Abstract: In a vehicle rollover accident, the strength of the roof structure is an important factor ...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...
Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonli...