Soft Computing in Structural Dynamics

Abstract eng:
The paper is devoted to new computational techniques in structural dynamics where one tries to study, model, analyze and optimize very complex phenomena, for which more precise scientific tools of the past were incapable of giving low cost and complete solu- tion. Soft computing methods dijfer from conventional (hard) computing in that, unlike hard computing, they are tolerant of imprecision, uncertainty, partial truth, and approximation. The paper deals with an application of the bio-inspired methods, like the evolutionary algo- rithms (EA), the artificial immune systems (AIS) and the particle swarm optimizers (PSO) to optimization problems. Structures considered in this work are analyzed by the finite element method (FEM and the boundary element method (BEJW). The bio-inspired methods are ap- plied to optimize shape, topology and material properties of 3D structures modeled by the FEM and to optimize location of stijfeners in 2D reinforced plates modeled by the coupled BEM/FEM The structures are optimized using the criteria depend on frequency, displace- ments or stresses. Numerical examples demonstrate that the methods based on the soft com- putation are ejfective for solving computer aided optimal design problems.

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