Publications related to Strong Subconvexity for Self-Dual GL(3) L-Functions

Characterization of rotational behavior of web-flange junctions of pultruded GFRP bridge decks

Thomas Keller, Julia De Castro San Roman Fest, Sonia Yanes Armas

The rotational behavior of the web-flange junctions (WFJs) of a pultruded GFRP bridge deck system was investigated. The rotational response of three WFJ types was characterized. An experimental procedure based on three-point bending and cantilever experime ...

2016

Tensor train approximation of moment equations for elliptic equations with lognormal coefficient

Fabio Nobile, Daniel Kressner, Francesca Bonizzoni

We study an elliptic equation with stochastic coefficient modeled as a lognormal random field. A perturbation approach is adopted, expanding the solution in Taylor series around the nominal value of the coefficient. The resulting recursive deterministic pr ...

Elsevier2016

Seismic behaviour of slab-column connections without transverse reinforcement

Ioannis Sokratis Drakatos

Reinforced concrete (RC) flat slabs supported by slender columns are often used as gravity load resisting system for buildings in regions of moderate and high seismicity. Such buildings are typically braced by RC walls, which carry the largest portion of t ...

EPFL2016

Punching shear strength and behaviour of compact reinforced concrete footings

Aurelio Muttoni, Miguel Fernández Ruiz, João Tiago Ramos Bernardo de Santa Rita Simões

concrete footings with and without transverse reinforcement. Even though that punching shear failures have already been deeply investigated, there is still scanty experimental information on full-scale reinforced concrete footings failing in punching shear ...

11th fib International PhD Symposium in Civil Engineering2016

Medial axis transformation as a solid modeling representation method for computer aided design software

Paul Xirouchakis, Mihai-Bogdan Lazar, Ian Anthony Stroud, Florian Barras, Guillaume Goualard

A method for achieving a representation of an object within a data structure for a Computer Aided Design system employing a Medial Axis Transformation (MAT), the representation of the object comprising a set of adjacent bounded surface elements called MAT ...

2016

Influence of boundary conditions and size effect on the drift capacity of URM walls

Katrin Beyer, Sarah Petry

In codes the drift capacity of unreinforced masonry (URM) walls is often estimated as a function of the failure mode and the aspect ratio. The empirical relationships are based on results from quasi-static cyclic tests on single URM walls, which were teste ...

Elsevier2014

On the benefits of diffusion cooperation for distributed optimization and learning

Ali H. Sayed

This work characterizes the nature of the limit point of distributed strategies for adaptation and learning over networks in the general case when the combination policy is not necessarily doubly stochastic and when the individual risks do not necessarily ...

2013

Refractive Index Sensing with Subradiant Modes: A Framework To Reduce Losses in Plasmonic Nanostructures

Olivier Martin, Benjamin Gallinet

Plasmonic modes with long radiative lifetimes, subradiant modes, combine strong confinement of the electromagnetic energy at the nanoscale with a steep spectral dispersion, which makes them promising for biochemical sensors or immunoassays. Subradiant mode ...

2013

MATHICSE Technical Report : Moment equations for the mixed formulation of the Hodge Laplacian with stochastic data

Fabio Nobile, Annalisa Buffa, Francesca Bonizzoni

We study the mixed formulation of the stochastic Hodge-Laplace problem defined on a n-dimensional domain D (

n \geq 1

), with random forcing term. In particular, we focus on the magnetostatic problem and on the Darcy problem in the three dimensional case. ...

MATHICSE2012

Passing to the limit in maximal slope curves: from a regularized Perona–Malik equation to the total variation flow

Maria Colombo

We prove that solutions of a mildly regularized Perona–Malik equation converge, in a slow time scale, to solutions of the total variation flow. The convergence result is global-in-time, and holds true in any space dimension. The proof is based on the gener ...

2012

Strong Subconvexity for Self-Dual GL(3) L-Functions

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Characterization of rotational behavior of web-flange junctions of pultruded GFRP bridge decks

Tensor train approximation of moment equations for elliptic equations with lognormal coefficient

Seismic behaviour of slab-column connections without transverse reinforcement

Punching shear strength and behaviour of compact reinforced concrete footings

Medial axis transformation as a solid modeling representation method for computer aided design software

Influence of boundary conditions and size effect on the drift capacity of URM walls

On the benefits of diffusion cooperation for distributed optimization and learning

Refractive Index Sensing with Subradiant Modes: A Framework To Reduce Losses in Plasmonic Nanostructures

MATHICSE Technical Report : Moment equations for the mixed formulation of the Hodge Laplacian with stochastic data

Passing to the limit in maximal slope curves: from a regularized Perona–Malik equation to the total variation flow

Tensor train approximation of moment equations for elliptic equations with lognormal coefficient

Characterization of rotational behavior of web-flange junctions of pultruded GFRP bridge decks

Seismic behaviour of slab-column connections without transverse reinforcement

Medial axis transformation as a solid modeling representation method for computer aided design software

Passing to the limit in maximal slope curves: from a regularized Perona–Malik equation to the total variation flow

Punching shear strength and behaviour of compact reinforced concrete footings

Influence of boundary conditions and size effect on the drift capacity of URM walls

Refractive Index Sensing with Subradiant Modes: A Framework To Reduce Losses in Plasmonic Nanostructures

MATHICSE Technical Report : Moment equations for the mixed formulation of the Hodge Laplacian with stochastic data

On the benefits of diffusion cooperation for distributed optimization and learning