I am a postdoctoral researcher under the supervision of Grégoire Allaire at Centre de Mathématiques Appliquées (École polytechnique, Palaiseau). I completed my PhD thesis under his supervision and that of Charles Dapogny (Laboratoire Jean Kuntzmann, Grenoble) with a CIFRE funding provided by Safran. My research focuses on topology optimization of multiphysics systems with the level set or the homogenization method.

Before, I worked with Pierre Lermusiaux at Massachusetts Institute of Technology on geometric methods for dynamical Model Order Reduction of Lagrangian transport.

**Email:** florian.feppon [AT] polytechnique.edu

**Address:** Centre de Mathématiques Appliquées (CMAP) (office 2016),

École polytechnique

Route de Saclay

91128 PALAISEAU Cedex

FRANCE

- Numerical methods for Partial Differential Equations
- Numerical optimization
- Homogenization
- Computational Science and Engineering
- Shape and Topology optimization
- Model Order Reduction
- Advection and Lagrangian Transport
- Dynamical systems

[14] Feppon, F. High order homogenization of the Stokes system in a periodic porous medium. *Submitted*. HAL preprint hal-02880030.
(abstract)
(bibtex)

**Abstract**:
We derive high order homogenized models for the incompressible
Stokes system in a cubic domain filled with periodic obstacles. These models have
the potential to unify the three classical limit problems (namely the
``unchanged' Stokes system, the Brinkman model, and the Darcy's law)
corresponding to various asymptotic regimes of the ratio $\eta\equiv
a_{\epsilon}/\epsilon$ between the radius $a_{\epsilon}$ of the holes and the
size $\epsilon$ of the periodic cell. What is more, a novel, rather surprising
feature of our higher order effective equations is the occurrence of odd order
differential operators when the obstacles are not symmetric. Our derivation
relies on the method of two-scale power series expansions and on the existence of
a ``criminal' ansatz, which allows to reconstruct the oscillating velocity and
pressure $(\mathbf{u}_{\epsilon},p_{\epsilon})$ as a linear combination of the
derivatives of their formal average $(\mathbf{u}_{\epsilon}^{*},p_{\epsilon}^{*})$
weighted by suitable corrector tensors. The formal average
$(\mathbf{u}_\epsilon^{*},p_{\epsilon}^{*})$ is itself the solution to a formal, infinite
order homogenized equation, whose truncation at any finite order is in general
ill-posed. Inspired by the variational truncation method of
\cite{smyshlyaev2000rigorous,cherednichenko2016full}, we derive, for any
$K\in\mathbb{N}$, a well-posed model of order $2K+2$ which yields approximations of the
original solutions with an error of order $O(\epsilon^{K+3})$ in the $L^{2}$
norm. Furthermore, the error improves up to the order $O(\epsilon^{2K+4})$ if a
slight modification of this model remains well-posed. Finally, we find
asymptotics of all homogenized tensors in the low volume fraction limit
$\eta\rightarrow 0$ and in dimension $d\geqslant 3$. This allows us to obtain that our
effective equations converge coefficient-wise to either of the Brinkman or Darcy
regimes which arise when $\eta$ is respectively equivalent, or greater than
the critical scaling $\eta_{\mathrm{crit}}\sim\epsilon^{2/(d-2)}$.

@unpublished{feppon:hal-02880030,
TITLE = {{High order homogenization of the Stokes system in a periodic porous medium}},
AUTHOR = {Feppon, Florian},
URL = {https://hal.archives-ouvertes.fr/hal-02880030},
NOTE = {working paper or preprint},
YEAR = {2020},
MONTH = Jun,
KEYWORDS = {Homogenization ; higher order models ; porous media ; Stokes system ; strange term},
PDF = {https://hal.archives-ouvertes.fr/hal-02880030/file/ex_article.pdf},
HAL_ID = {hal-02880030},
HAL_VERSION = {v1},
}

[13] Feppon, F. High order homogenization of the Poisson equation in a perforated periodic domain. *Submitted*. HAL preprint hal-02518528.
(abstract)
(bibtex)

**Abstract**:
We derive high order homogenized models for the Poisson problem in a cubic domain periodically
perforated with holes where Dirichlet boundary conditions are applied. These models unify the three possible
kinds of limit problems derived by the literature for various asymptotic regimes (namely the “unchanged”
Poisson equation, the Poisson problem with a strange reaction term, and the zeroth order limit problem) of
the ratio η ≡ aε/ε between the size aε of the holes and the size ε of the periodic cell. The derivation relies on
algebraic manipulations on formal two-scale power series in terms of ε and more particularly on the existence
of a “criminal” ansatz, which allows to reconstruct the oscillating solution uε as a linear combination of
the derivatives of its formal average u∗ ε weighted by suitable corrector tensors. The formal average is itself
the solution of a formal, infinite order homogenized equation. Classically, truncating the infinite order
homogenized equation yields in general an ill-posed model. Inspired by a variational method introduced in
[52, 23], we derive, for any K ∈ N, well-posed corrected homogenized equations of order 2K + 2 which yield
approximations of the original solutions with an error of order O(ε^2K+4) in the L2 norm. Finally, we find
asymptotics of all homogenized tensors in the low volume fraction regime η → 0 and in dimension d ≥ 3.
This allows us to show that our higher order effective equations converge coefficient-wise to either of the
three classical homogenized regimes of the literature which arise when η is respectively lower, equivalent, or
greater than the critical scaling η_crit ∼ ε^{d/(d−2)} .

@unpublished{feppon:hal-02518528,
TITLE = {{High order homogenization of the Poisson equation in a perforated periodic domain}},
AUTHOR = {Feppon, Florian},
URL = {https://hal.archives-ouvertes.fr/hal-02518528},
NOTE = {working paper or preprint},
YEAR = {2020},
MONTH = Mar,
KEYWORDS = {Homogenization ; higher order models ; perforated Poisson problem ; homogeneous Dirichlet boundary conditions ; strange term},
PDF = {https://hal.archives-ouvertes.fr/hal-02518528/file/homogenization_poisson.pdf},
HAL_ID = {hal-02518528},
HAL_VERSION = {v1},
}

[12] Feppon, F., Allaire, G., Dapogny D. and Jolivet, P. Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing (2020). *Journal of Computational Physics, 109574*. HAL preprint hal-02518207.
(abstract)
(bibtex)

**Abstract**:
An efficient framework is described
for the shape and topology optimization of realistic three-dimensional,
weakly-coupled fluid-thermal-mechanical systems. At the theoretical
level, the proposed methodology relies on the boundary variation of
Hadamard for describing the sensitivity of functions with respect to the
domain. From the numerical point of view, three key ingredients are
used:
(i) a level set based mesh evolution method allowing to describe large
deformations of the shape while maintaining an adapted, high-quality mesh of
the latter at every stage of the optimization process;
(ii) an efficient constrained optimization algorithm which is very well
adapted to the infinite-dimensional shape optimization context;
(iii) efficient preconditioning techniques for the solution of large finite
element systems in a reasonable computational time.
The performance of our strategy is illustrated with two examples of coupled
physics: respectively fluid--structure interaction and convective heat
transfer. Before that, we perform three other test cases, involving a
single physics (structural, thermal and aerodynamic design), for comparison
purposes and for assessing our various tools: in particular, they prove the
ability of the mesh evolution technique to capture very thin bodies or
shells in 3D.

@article{FEPPON2020109574,
title = "Topology optimization of thermal fluid–structure systems using body-fitted meshes and parallel computing",
journal = "Journal of Computational Physics",
pages = "109574",
year = "2020",
issn = "0021-9991",
doi = "https://doi.org/10.1016/j.jcp.2020.109574",
url = "http://www.sciencedirect.com/science/article/pii/S002199912030348X",
author = "F. Feppon and G. Allaire and C. Dapogny and P. Jolivet",
keywords = "Shape and topology optimization, Fluid–structure interaction, Convective heat transfer, Aerodynamic design, Mesh adaptation, Distributed computing"
}

[11] Feppon, F., Allaire, G. and Dapogny, C. Null space gradient flows for constrained optimization with applications to shape optimization (2020). *ESAIM: COCV (Open Access)*. HAL preprint hal-01972915.
(abstract)
(bibtex)

**Abstract**:
The purpose of this article is to introduce a gradient-flow
algorithm for solving generic equality or inequality constrained
optimization problems, which is suited for shape optimization applications.
We rely on a variant of the Ordinary Differential Equation (ODE) approach
proposed by Yamashita for equality constrained problems: the search
direction is a combination of a null space step and a range space step,
which are aimed to reduce the value of the minimized objective function and
the violation of the constraints, respectively. Our first contribution is
to propose an extension of this ODE approach to optimization problems
featuring both equality and inequality constraints. In the literature, a
common practice consists in reducing inequality constraints to equality
constraints by the introduction of additional slack variables. Here, we
rather solve their local combinatorial character by computing the
projection of the gradient of the objective function onto the cone of
feasible directions. This is achieved by solving a dual quadratic
programming subproblem whose size equals the number of active or violated
constraints, and which allows to identify the inequality constraints which
should remain tangent to the optimization trajectory. Our second
contribution is a formulation of our gradient flow in the context
of-infinite-dimensional-Hilbert space settings. This allows to extend the
method to quite general optimization sets equipped with a suitable manifold
structure, and notably to sets of shapes as it occurs in shape optimization
with the framework of Hadamard's boundary variation method. The cornerstone
of this latter setting is the classical operation of extension and
regularization of shape derivatives. Some numerical comparisons on simple
academic examples are performed to illustrate the behavior of our
algorithm. Its numerical efficiency and ease of implementation are finally
demonstrated on more realistic shape optimization problems.

@unpublished{feppon:hal-01972915,
TITLE = {{Null space gradient flows for constrained optimization with
applications to shape optimization}},
AUTHOR = {Feppon, Florian and Allaire, Gr{'e}goire and Dapogny, Charles},
URL = {https://hal.archives-ouvertes.fr/hal-01972915},
NOTE = {working paper or preprint},
YEAR = {2019},
MONTH = Jan,
KEYWORDS = {gradient flows ; nonlinear constrained optimization ;
shape and topology optimization ; null space method},
PDF = {https://hal.archives-ouvertes.fr/hal-01972915/file/optimAlgo.pdf},
HAL_ID = {hal-01972915},
HAL_VERSION = {v1}
}

[10] Feppon, F., Allaire, G. and Dapogny, C. A variational formulation for computing shape derivatives of geometric constraints along rays (2020). *ESAIM: M2AN, 54 1 181-228 (Open Access)*. HAL preprint hal-01879571.
(abstract)
(bibtex)

**Abstract**:
In the formulation of shape optimization problems, multiple
geometric constraint functionals involve the signed distance function to
the optimized shape Ω. The numerical evaluation of their shape derivatives
requires to integrate some quantities along the normal rays to Ω, a task
that is usually achieved thanks to the method of characteristics. The goal
of the present paper is to propose an alternative, variational approach for
this purpose. Our method amounts, in full generality, to compute integral
quantities along the characteristic curves of a given velocity field
without requiring the explicit knowledge of these curves on the spatial
discretization; it rather relies on a variational problem which can be
solved conveniently by the finite element method. The well-posedness of
this problem is established thanks to a detailed analysis of weighted graph
spaces of the advection operator β · associated to a C 1 velocity fields β.
One novelty of our approach is the ability to handle velocity fields with
possibly unbounded divergence: we do not assume div(β) ∈ L ∞. Our working
assumptions are fulfilled in the context of shape optimization of C 2
domains Ω, where the velocity field β = d Ω is an extension of the unit
outward normal vector to the optimized shape. The efficiency of our
variational method with respect to the direct integration of numerical
quantities along rays is evaluated on several numerical examples. Classical
albeit important implementation issues such as the calculation of a shape's
curvature and the detection of its skeleton are discussed. Finally, we
demonstrate the convenience and potential of our method when it comes to
enforcing maximum and minimum thickness constraints in structural shape
optimization.

@article{feppon2020variational,
author = {{Feppon, Florian} and {Allaire, Gr'egoire} and {Dapogny, Charles}},
title = {A variational formulation for computing shape derivatives of geometric constraints along rays},
DOI= "10.1051/m2an/2019056",
url= "https://doi.org/10.1051/m2an/2019056",
journal = {ESAIM: M2AN},
year = 2020,
volume = 54,
number = 1,
pages = "181-228",
}

[9] Feppon, F., Allaire, G., Bordeu, F., Cortial, J. and Dapogny, C. Shape optimization of a coupled thermal fluid-structure problem in a level set mesh evolution framework (2019). *SeMA, 76: 413*. HAL preprint hal-01686770.
(abstract)
(bibtex)

**Abstract**:
Hadamard’s method of shape differentiation is applied to
topology optimization of a weakly coupled three physics problem. The
coupling is weak because the equations involved are solved consecutively,
namely the steady state Navier–Stokes equations for the fluid domain,
first, the convection diffusion equation for the whole domain, second, and
the linear thermo-elasticity system in the solid domain, third. Shape
sensitivities are derived in a fully Lagrangian setting which allows us to
obtain shape derivatives of general objective functions. An emphasis is
given on the derivation of the adjoint interface condition dual to the one
of equality of the normal stresses at the fluid solid interface. The
arguments allowing to obtain this surprising condition are specifically
detailed on a simplified scalar problem. Numerical test cases are presented
using the level set mesh evolution framework of Allaire et al. (Appl Mech
Eng 282:22–53, 2014). It is demonstrated how the implementation enables
to treat a variety of shape optimization problems.

@article{Feppon2019Sep,
author = {Feppon, F. and Allaire, G. and Bordeu, F. and Cortial, J. and Dapogny, C.},
title = {{Shape optimization of a coupled thermal fluid-structure problem in a level set mesh evolution framework}},
journal = {SeMA},
volume = {76},
number = {3},
pages = {413--458},
year = {2019},
month = {Sep},
issn = {2254-3902},
publisher = {Springer International Publishing},
doi = {10.1007/s40324-018-00185-4}
}

[8] Grejtak T., Jia X., Feppon F., Joynson S.G., Cunniffe A.R., Shi Y., Kauffman D.P., Vermaak N. and Krick B.A. Topology Optimization of Composite Materials for Wear: A Route to Multifunctional Materials for Sliding Interfaces (2019). *Advanced Engineering Materials*.
(abstract)
(bibtex)

**Abstract**:
Predicting and optimizing the wear performance of tribological
systems is of great interest in many mechanical applications. Wear modeling based
on elastic foundation models can be used to predict the wear behavior of
composite materials. Topology optimization has previously been used to improve
the wear performance of a bi‐material composite surface without direct
experimental validation. In this paper, three multi‐material composite wear
surfaces are presented and fabricated that are the product of topology
optimization. The wear surfaces are designed for optimal wear performance
including minimized run‐in wear volume lost. In this work, the designs are
evaluated with high‐accuracy simulations prior to fabrication. Extensive testing
is conducted including for wear volume, wear rate, surface height distribution,
and profile measurements throughout the wear process. The effects of boundary
conditions and the importance of taking wear sliding directionality into account
in the modeling process are discussed.

@article{doi:10.1002/adem.201900366,
author = {Grejtak, Tomas and Jia, Xiu and Feppon, Florian and Joynson,
Sam G. and Cunniffe, Annaliese R. and Shi, Yupin and Kauffman,
David P. and Vermaak, Natasha and Krick, Brandon A.},
title = {Topology Optimization of Composite Materials for Wear: A Route to
Multifunctional Materials for Sliding Interfaces},
journal = {Advanced Engineering Materials},
volume = {0},
number = {0},
pages = {1900366},
keywords = {composite design, level-set method, mechanical design, topology optimization, tribology, wear},
doi = {10.1002/adem.201900366},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/adem.201900366},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.201900366}
}

[7] Feppon, F. and Lermusiaux, P. F. J. The Extrinsic Geometry of Dynamical Systems tracking nonlinear matrix projections (2019). *SIAM Journal on Matrix Analysis and Applications, 40(2), 814-844*. HAL preprint hal-02096001.
(abstract)
(bibtex)

**Abstract**:
A generalization of the concepts of extrinsic curvature and
Weingarten endomorphism is introduced to study a class of nonlinear maps
over embedded matrix manifolds. These (nonlinear) oblique projections,
generalize (nonlinear) orthogonal projections, i.e. applications mapping a
point to its closest neighbor on a matrix manifold. Examples of such maps
include the truncated SVD, the polar decomposition, and functions mapping
symmetric and non-symmetric matrices to their linear eigenprojectors. This
paper specifically investigates how oblique projections provide their image
manifolds with a canonical extrinsic differential structure, over which a
generalization of the Weingarten identity is available. By diagonalization
of the corresponding Weingarten endomorphism, the manifold principal
curvatures are explicitly characterized, which then enables us to (i)
derive explicit formulas for the differential of oblique projections and
(ii) study the global stability ofgeneric Ordinary Differential Equation
(ODE) computing their values. This methodology, exploited for the truncated
SVD in [22], is generalized to non-Euclidean settings, and applied to the
four other maps mentioned above and their image manifolds: respectively,
the Stiefel, the isospectral, the Grassmann manifolds, and the manifold of
fixed rank (non-orthogonal) linear projectors. In all cases studied, the
oblique projection of a target matrix is surprisingly the unique stable
equilibrium point of the above gradient flow. Three numerical applications
concerned with ODEs tracking dominant eigenspaces involving possibly
multiple eigenvalues finally showcase the results.

@article{doi:10.1137/18M1192780,
author = {Feppon, F. and Lermusiaux, P.},
title = {The Extrinsic Geometry of Dynamical Systems Tracking Nonlinear Matrix Projections},
journal = {SIAM Journal on Matrix Analysis and Applications},
volume = {40},
number = {2},
pages = {814-844},
year = {2019},
doi = {10.1137/18M1192780},
}

[6] Feppon, F. and Lermusiaux, P. F. J. Dynamically orthogonal numerical schemes for efficient stochastic advection and Lagrangian transport (2018). *SIAM Review, 60(3), 595-625*. HAL preprint hal-01881442.
(abstract)
(bibtex)

**Abstract**:
Quantifying the uncertainty of Lagrangian motion can be performed by solving a
large number of ordinary differential equations with random velocities or,
equivalently, a stochastic transport partial differential equation (PDE) for
the ensemble of flow-maps. The dynamically orthogonal (DO) decomposition is
applied as an efficient dynamical model order reduction to solve for such
stochastic advection and Lagrangian transport. Its interpretation as the method
that applies the truncated SVD instantaneously on the matrix discretization of
the original stochastic PDE is used to obtain new numerical schemes. Fully
linear, explicit central advection schemes stabilized with numerical filters
are selected to ensure efficiency, accuracy, stability, and direct consistency
between the original deterministic and stochastic DO advections and flow-maps.
Various strategies are presented for selecting a time-stepping that accounts
for the curvature of the fixed-rank manifold and the error related to closely
singular coefficient matrices. Efficient schemes are developed to dynamically
evolve the rank of the reduced solution and to ensure the orthogonality of the
basis matrix while preserving its smooth evolution over time. Finally, the new
schemes are applied to quantify the uncertain Lagrangian motions of a 2D
double-gyre flow with random frequency and of a stochastic flow past a
cylinder.

@article{doi:10.1137/16M1109394,
author = {Feppon, F. and Lermusiaux, P.},
title = {Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport},
journal = {SIAM Review},
volume = {60},
number = {3},
pages = {595-625},
year = {2018},
doi = {10.1137/16M1109394},
}

[5] Feppon, F. and Lermusiaux, P. F. J. A geometric approach to dynamical model order reduction (2018). *SIAM Journal on Matrix Analysis and Applications, 39(1), 510-538*. Arxiv preprint 1705.08521.
(abstract)
(bibtex)

**Abstract**:
Any model order reduced dynamical system that evolves a modal decomposition to
approximate the discretized solution of a stochastic PDE can be related to a
vector field tangent to the manifold of fixed rank matrices. The dynamically
orthogonal (DO) approximation is the canonical reduced-order model for which
the corresponding vector field is the orthogonal projection of the original
system dynamics onto the tangent spaces of this manifold. The embedded geometry
of the fixed rank matrix manifold is thoroughly analyzed. The curvature of the
manifold is characterized and related to the smallest singular value through
the study of the Weingarten map. Differentiability results for the orthogonal
projection onto embedded manifolds are reviewed and used to derive an explicit
dynamical system for tracking the truncated singular value decomposition (SVD)
of a time-dependent matrix. It is demonstrated that the error made by the DO
approximation remains controlled under the minimal condition that the original
solution stays close to the low rank manifold, which translates into an
explicit dependence of this error on the gap between singular values. The DO
approximation is also justified as the dynamical system that applies
instantaneously the SVD truncation to optimally constrain the rank of the
reduced solution. Riemannian matrix optimization is investigated in this
extrinsic framework to provide algorithms that adaptively update the best low
rank approximation of a smoothly varying matrix. The related gradient flow
provides a dynamical system that converges to the truncated SVD of an input
matrix for almost every initial datum.

@article{doi:10.1137/16M1095202,
author = {Feppon, F. and Lermusiaux, P.},
title = {A Geometric Approach to Dynamical Model Order Reduction},
journal = {SIAM Journal on Matrix Analysis and Applications},
volume = {39},
number = {1},
pages = {510-538},
year = {2018},
doi = {10.1137/16M1095202},
}

[4] Feppon, F., Michailidis, G., Sidebottom, M. A., Allaire, G., Krick, B. A. and Vermaak, N. Introducing a level-set based shape and topology optimization method for the wear of composite materials with geometric constraints (2017). *Structural and Multidisciplinary Optimization, 55(2), 547-568*. HAL preprint hal-01336301.
(abstract)
(bibtex)

**Abstract**:
The wear of materials continues to be a limiting factor in the
lifetime and performance of mechanical systems with sliding surfaces. As
the demand for low wear materials grows so does the need for models and
methods to systematically optimize tribological systems. Elastic foundation
models offer a simplified framework to study the wear of multimaterial
composites subject to abrasive sliding. Previously, the evolving wear
profile has been shown to converge to a steady-state that is characterized
by a time-independent elliptic equation. In this article, the steady-state
formulation is generalized and integrated with shape optimization to
improve the wear performance of bi-material composites. Both macroscopic
structures and periodic material microstructures are considered. Several
common tribological objectives for systems undergoing wear are identified
and mathematically formalized with shape derivatives. These include (i)
achieving a planar wear surface from multimaterial composites and (ii)
minimizing the run-in volume of material lost before steady-state wear is
achieved. A level-set based topology optimization algorithm that
incorporates a novel constraint on the level-set function is presented. In
particular, a new scheme is developed to update material interfaces; the
scheme (i) conveniently enforces volume constraints at each iteration, (ii)
controls the complexity of design features using perimeter penalization,
and (iii) nucleates holes or inclusions with the topological gradient. The
broad applicability of the proposed formulation for problems beyond wear is
discussed, especially for problems where convenient control of the
complexity of geometric features is desired.

@article{feppon2017introducing,
title={Introducing a level-set based shape and topology optimization method for the wear of composite materials with geometric constraints},
author={Feppon, Florian and Michailidis, G and Sidebottom, MA and Allaire, Gr{'e}goire and Krick, BA and Vermaak, N},
journal={Structural and Multidisciplinary Optimization},
volume={55},
number={2},
pages={547--568},
year={2017},
publisher={Springer}
}

[3] Feppon, F., Sidebottom, M. A., Michailidis, G., Krick, B. A. and Vermaak, N. Efficient Steady-State Computation for Wear of Multimaterial Composites (2016). *Journal of Tribology, 138(3), 031602*.
(abstract)
(bibtex)

**Abstract**:
'Traditionally, iterative schemes have been used to predict
evolving material profiles under abrasive wear. In this work, more
efficient continuous formulations are presented for predicting the wear of
tribological systems. Following previous work, the formulation is based on
a two parameter elastic Pasternak foundation model. It is considered as a
simplified framework to analyze the wear of multimaterial surfaces. It is
shown that the evolving wear profile is also the solution of a parabolic
partial differential equation (PDE). The wearing profile is proven to
converge to a steady-state that propagates with constant wear rate. A
relationship between this velocity and the inverse rule of mixtures or
harmonic mean for composites is derived. For cases where only the final
steady-state profile is of interest, it is shown that the steady-state
profile can be accurately and directly determined by solving a simple
elliptic differential system—thus avoiding iterative schemes altogether.
Stability analysis is performed to identify conditions under which an
iterative scheme can provide accurate predictions and several comparisons
between iterative and the proposed formulation are made. Prospects of the
new continuous wear formulation and steady-state characterization are
discussed for advanced optimization, design, manufacturing, and control
applications.

@article{feppon2016efficient,
title={Efficient steady-state computation for wear of multimaterial composites},
author={Feppon, Florian and Sidebottom, Mark A and Michailidis, Georgios and Krick, Brandon A and Vermaak, Natasha},
journal={Journal of Tribology},
volume={138},
number={3},
pages={031602},
year={2016},
publisher={American Society of Mechanical Engineers}
}

[2] Sidebottom, M. A., Feppon, F., Vermaak, N. and Krick, B. A. Modeling Wear of Multimaterial Composite Surfaces (2016). *Journal of Tribology, 138(4), 041605*. Preprint.
(abstract)
(bibtex)

**Abstract**:
Iterative numerical wear models provide valuable insight into
evolving material surfaces under abrasive wear. In this paper, a holistic
numerical scheme for predicting the wear of rubbing elements in
tribological systems is presented. In order to capture the wear behavior of
a multimaterial surface, a finite difference model is developed. The model
determines pressure and height loss along a composite surface as it slides
against an abrasive compliant countersurface. Using Archard's wear law, the
corresponding nodal height loss is found using the appropriate material
wear rate, applied pressure, and the incremental sliding distance. This
process is iterated until the surface profile reaches a steady-state
profile. The steady-state is characterized by the incremental height loss
at each node being nearly equivalent to the previous loss in height.
Several composite topologies are investigated in order to identify key
trends in geometry and material properties on wear performance.

@article{sidebottom2016modeling,
title={Modeling wear of multimaterial composite surfaces},
author={Sidebottom, Mark A and Feppon, Florian and Vermaak, Natasha and Krick, Brandon A},
journal={Journal of Tribology},
volume={138},
number={4},
pages={041605},
year={2016},
publisher={American Society of Mechanical Engineers}
}

[1] Lefebvre, G., Gondel, A., Dubois, M., Atlan, M., Feppon, F., Labbé, A., Gillot C., Garelli A., Ernoult M. and Filoche, M. One single static measurement predicts wave localization in complex structures (2016). *Physical review letters, 117(7), 074301*. Arxiv preprint 1604.03090.
(abstract)
(bibtex)

**Abstract**:
A recent theoretical breakthrough has brought a new tool,
called the localization landscape, for predicting the localization regions
of vibration modes in complex or disordered systems. Here, we report on the
first experiment which measures the localization landscape and demonstrates
its predictive power. Holographic measurement of the static deformation
under uniform load of a thin plate with complex geometry provides direct
access to the landscape function. When put in vibration, this system shows
modes precisely confined within the subregions delineated by the landscape
function. Also the maxima of this function match the measured
eigenfrequencies, while the minima of the valley network gives the
frequencies at which modes become extended. This approach fully
characterizes the low frequency spectrum of a complex structure from a
single static measurement. It paves the way for controlling and engineering
eigenmodes in any vibratory system, especially where a structural or
microscopic description is not accessible.

@article{PhysRevLett.117.074301,
title = {One Single Static Measurement Predicts Wave Localization in Complex Structures},
author = {Lefebvre, Gautier and Gondel, Alexane and Dubois, Marc and Atlan, Michael and Feppon, Florian and Labb'e,
Aim'e and Gillot, Camille and Garelli, Alix and Ernoult, Maxence and Mayboroda, Svitlana and Filoche,
Marcel and Sebbah, Patrick},
journal = {Phys. Rev. Lett.},
volume = {117},
issue = {7},
pages = {074301},
numpages = {5},
year = {2016},
month = {Aug},
publisher = {American Physical Society},
doi = {10.1103/PhysRevLett.117.074301},
url = {https://link.aps.org/doi/10.1103/PhysRevLett.117.074301}
}