Computational Optimization for Structural Engineering Applications
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Computational Optimization for Structural Engineering Applications Patrizia Trovalusci1 · Giulio Maier2 · Vincenzo Gattulli1 Published online: 24 November 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
The present Special Issue (P. Trovalusci and G. Maier Editors; V. Gattulli co-Editor) collects selected and invited novel contributions that follow and extend some studies originally presented at the ‘9th International Conference on Computational Methods’ (ICCM2018), held in Rome, Italy, in August 2018, with Professor Trovalusci as Chairman. The articles of the volume are devoted to recent advances in computational optimization for structural engineering applications focusing on theoretical, experimental, and practical aspects. Computational optimization plays a key role in many fields of Structural Engineering, among these: structural identification of material parameters and damage detection; structural shape/topology optimization for design; optimization for collapse analysis aimed at risk mitigation and reliability of structures of cultural heritage. Focus is given on optimization problems that are nonlinear and non-convex and suffer from lack of uniqueness, the presence of global and local minima, and the strong dependency of the solution on the choice of the starting point in the minimization process. In many practical cases, moreover, the constraints and the derivatives cannot be known, and even the objective function may have unknown characteristics, and the constrained minimization problems are configured as black boxes. This scenario often requires the application of direct search methods of optimization and the call for the adoption of ‘heuristic’ or evolutionary optimization algorithms and learning techniques, that in many cases prove to be effective. Each selected contribution of the Special Issue has undergone a deep review process, and only papers that have attracted positive recommendations, from at least two international referees, have been included. The papers provide engineering appli-
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Patrizia Trovalusci [email protected] Vincenzo Gattulli [email protected]
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Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Via Gramsci 53, 00197 Rome, Italy
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Department of Structural Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
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Journal of Optimization Theory and Applications (2020) 187:609–612
cations with special attention devoted to structural identification and diagnosis via reverse analysis, structural optimization methods for design, and mathematical programming for limit analysis of masonry structures. All articles are briefly introduced in the paragraphs below. The paper by Amendola presents an optimized and convergent regularization procedure for the computation of the stress field exhibited by particle systems subjected to self-equilibrated short-range interactions. The analyzed systems of forces describe pair-interactions between lumped masses in ‘atomistic’
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