A new genetic algorithm-based framework for optimized design of steel-jacketing retrofitting in shear-critical and ductility-critical RC frame structures
Fabio Di Trapani, Antonio Pio Sberna and Giuseppe Carlo Marano Abstract Design of seismic retrofitting of reinforced concrete (RC) structures compares structural safety on the one hand, and costs on the other. Steel-jacketing (SJ) is a very common and effective retrofitting technique, used to provide additional ductility and shear capacity to concrete members. However, its […]
Optimal preliminary design of variable section beams criterion
Raffaele Cucuzza, Marco Martino Rosso and Giuseppe Carlo Marano Cucuzza, R., Rosso, M.M. & Marano, G.C. Optimal preliminary design of variable section beams criterion. SN Appl. Sci. 3, 745 (2021). https://doi.org/10.1007/s42452-021-04702-5 Abstract The present paper discusses about optimal shape solution for a non-prismatic planar beam. The proposed model is based on the standard Timoshenko kinematics hypothesis (i.e., planar […]
Comparative Models and Geometrically Constrained Optimization of a Multi-Domain Variable Section Beam based on Timoshenko Model using Algorithm-Aided Design
Laura Sardone, Marco M. Rosso, Raffaele Cucuzza, Rita Greco and Giuseppe C. Marano 28-30 June 2021, Streamed from Athens, Greece Abstract This paper presents an efficient strategy to minimize the volume of a large span multi-domain variable section beam considering the geometric shape parameters as mathematical constraints. The shape optimization of the beam element has […]
Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization
Marco M. Rosso, Raffaele Cucuzza, Fabio Di Trapani and Giuseppe C. Marano Marco M. Rosso, Raffaele Cucuzza, Fabio Di Trapani, Giuseppe C. Marano, "Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization", Advances in Civil Engineering, vol. 2021, Article ID 6617750, 17 pages, 2021. https://doi.org/10.1155/2021/6617750 Abstract Firstly formulated to solve unconstrained optimization problems, the common way to solve constrained ones with the metaheuristic particle […]