Multidisciplinary and Multifidelity Optimization - visiting professor Laura Mainini

Lectures: DIMEAS Sala Riunioni III Piano Team activity: DIMEAS Sala Audiovisivi

Calendar

March 19, 2018: 10am-12pm
March 20, 2018: 10am-12pm | 2pm-5pm
March 21, 2018: 10am-12pm | 2pm-5pm
March 22, 2018: 10am-12pm | 2pm-5pm
March 23, 2018: 10am-12pm

Abstract
Engineering problems are characterized by a growing complexity that motivates the need to both manage interactions among multi-physics systems and contain analysis and development cost. While complexity is often mentioned as a challenge, it can also be an opportunity to improve system design and performance. Many strategies, algorithms and architectures have been proposed in the last decades and are commonly referred to as Multidisciplinary Design Optimization (MDO) methodologies. MDO largely grew in the domain of aerospace sciences, but currently comprises approaches to address the optimal design of a diverse spectrum of multidisciplinary and multi-component engineering systems. Another active area of research regards strategies to reduce computational burden and analysis cost, in particular through variable fidelity methods. A multi fidelity approach combines analysis models characterized by different levels of accuracy and may include approximations obtained with reduced order modeling and surrogate modeling techniques. This course aims to familiarize the students with this ensemble of methodological frameworks, tools and approaches that can be applied to a variety of engineering problems, from design analysis and optimization to multi-source information handling.