Metaheuristics for optimization problems in computer communications
Computer Communications
Advances in Engineering Software
Performance of nonlinear degrading structures: Identification, validation, and prediction
Computers and Structures
Inverse parameter identification technique using PSO algorithm applied to geotechnical modeling
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Modelling and identification of delamination in double-layer beams by the virtual distortion method
Computers and Structures
A heuristic particle swarm optimization method for truss structures with discrete variables
Computers and Structures
Computers and Industrial Engineering
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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This paper deals with a numerical NDT method to identify mechanical parameters by inverse analysis using the particle swarm optimization algorithm. This method is using a finite element model of the structure to study in order to minimize the error between field data and data predicted by the FE model. The method is applied in the case of a laboratory experiment modelling a soil-structure interaction problem. Results stress the impact of the sensitivity of the solution to the accuracy of field measurements by simulating both different levels of measurement noise on data and using several placements of sensors.