Plenary and Semi-Plenary Lectures
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| Title: |
| Computational Challenges in Optimum Design |
| Lecturer: |
| Manolis Papadrakakis |
| Abstract: |
| The objective of this paper is to present methodologies for improving the efficiency of evolutionary type methods for solving large and complicated continuous or discrete, structural optimization problems. This is achieved with improved optimization algorithms in terms of the proper selection of the new generation of design vectors as well as with the incorporation of Neural Networks (NN) for the prediction of computational intensive operations. The proposed NN implementation is adaptive in the sense that the utilized NN configuration is appropriately updated as the algorithmic process evolves by performing NN retrainings using gradually accumulated information. The computational advantages offered by the proposed methodologies are further enhanced by the implementation of advanced solution algorithms, in both sequential and parallel computing environments, for handling the repeated finite element equations encountered within the optimisation procedure. These algorithms are based on Domain Decomposition (DD) methods where a hybrid solution method is implemented containing primal and dual DD algorithms.The developed algorithms allow the optimum design of large-scale engineering problems to be performed in affordable computing times and to extend the range of applicability to extremely computationally intensive optimization problems such as designs under multiobjective conditions, dynamic or seismic loading, as well as performance based designs with stochastic variables and reliability based optimization of real world engineering problems. |
 Dr. Manolis Papadrakakis is a Professor of Structural Engineering at the National Technical University of Athens (NTUA) Greece, where he has been since 1979. He is a Fellow and Corresponding Member of the Executive Council of the International Association for Computational Mechanics (IACM), President of the Greek Association of Computational Mechanics (GRACM), President of the European Committee for Computational Solid and Structural Mechanics (ECCSM) of ECCOMAS, Director of the Institute of Structural Analysis and Seismic Research at NTUA. He is the editor of Computer Methods on Applied Mechanics and Engineering Journal and a member of the Editorial Board of nine international scientific journals. Dr. Papadrakakis received a M.S. Degree in Civil Engineering from the National Technical University of Athens and M.S. and Ph.D. Degrees in Computational Structural Mechanics from the City University of London. His research interests spread over a number of topics in computational mechanics including algorithmic procedures in parallel and distributed computing, structural design optimization, probabilistic and stochastic mechanics and structural dynamics and earthquake engineering. |
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