C-shells: Deployable Gridshells with Curved Beams

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Bending-active elastica beam is a structural configuration that is based on the elastic deformation of an initially straight beam. This deformation occurs when horizontal displacements are applied to a sliding support, causing the beam to bend into an arch ...

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In this thesis, we conduct a comprehensive investigation into structural instabilities of both elastic and magneto-elastic beams and shells, resulting in a creative proposal to design a programmable braille reader. Methodologically, we combine numerical si ...

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Bending-active represents a structural typology whose geometry is based on the elastic deformation of initially straight members that, in the case of beams, is known as elastica. This configuration involves applying horizontal displacements to a sliding su ...

When two objects slide against each other, wear and friction occur at their interface. The accumulation of wear forms what is commonly referred to as a ``third-body''. Understanding third-body evolution has significant applications in industry, where contr ...

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C-shells: Deployable Gridshells with Curved Beams

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Short-term behavior of glass fiber-polymer composite bending-active elastica beam under service load application

Scalable constrained optimization

Computational Homogenization for Inverse Design of Surface-based Inflatables

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

A ride time-oriented scheduling algorithm for dial-a-ride problems

Instabilities in Elastic and Magneto-Elastic Beams and Shells: from Shell Buckling to the Design of a Programmable Braille Reader

Robot Learning using Tensor Networks

Structural response of fiber-polymer composite bending-active elastica members under short- and long-term loading conditions

Modeling friction and wear using an adaptive discrete-continuum coupling

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Influence of model uncertainty and long term deformations in action effects calculation in reinforced concrete structures

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Bayesian Optimization for Chemical Reactions

Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system

Stochastic adaptive resampling for the estimation of discrete choice models

Data-driven Methods for Control: from Linear to Lifting

Online active and dynamic object shape exploration with a multi-fingered robotic hand

Design and experimental investigation of a herringbone grooved gas bearing supported turbocharger

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems