Joseph Morlier

Joseph Morlier
Institut Supérieur de l'Aéronautique et de l'Espace (ISAE) | ISAE · ICA

PhD

About

145
Publications
61,325
Reads
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1,624
Citations
Citations since 2016
84 Research Items
1344 Citations
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2016201720182019202020212022050100150200250300350
2016201720182019202020212022050100150200250300350
Introduction
MDO, structural &topology optimization, surrogate modeling, aeroelasticity by the past Structural Health Monitoring & Modal Identification
Additional affiliations
Education
January 2002 - January 2005
Université Bordeaux 1
Field of study
  • Mechanical Engineering

Publications

Publications (145)
Preprint
Full-text available
Selecting the optimal material for a part designed through topology optimization is a complex problem. The shape and properties of the Pareto front plays an important role in this selection. In this paper we show that the compliance-volume fraction Pareto fronts of some topology optimization problems in linear elasticity share some useful propertie...
Preprint
Full-text available
Recently, there has been a growing interest for mixed-categorical meta-models based on Gaussian process (GP) surrogates. In this setting, several existing approaches use different strategies either by using continuous kernels (e.g., continuous relaxation and Gower distance based GP) or by using a direct estimation of the correlation matrix. In this...
Cover Page
Full-text available
Machine learning has promoted advances in aerodynamic design optimization in multiple aspects such as aerodynamic modeling, shape parameterization, optimization architectures, etc. In order to provide our community with a briefing on the state-of-the-art and future directions, we organize this special issue to collect relevant studies applied to th...
Poster
Full-text available
MDO for Industrial Applications in Aeronautics -Towards Greener Aviation @ 3rd European Workshop on MDO
Preprint
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Multidisciplinary Design Optimization (MDO) makes it possible to reach a better solution than by optimizing each discipline independently. In particular, the optimal structure of a drone won't be the same depending on the material used. The CO2 footprint of a solar-powered High Altitude Long Endurance (HALE) drone is optimized here, the structural...
Article
Full-text available
In this paper, mixed categorical structural optimization problems are investigated. The aim is to minimize the weight of a truss structure with respect to cross-section areas, materials, and cross-section type. The proposed methodology consists of using a bi-level decomposition involving two problems: master and slave. The master problem is formula...
Preprint
Full-text available
In this paper, mixed categorical structural optimization problems are investigated. The aim is to minimize the weight of a truss structure with respect to cross-section areas, materials and cross-section type. The proposed methodology consists of using a bi-level decomposition involving two problems: master and slave. The master problem is formulat...
Conference Paper
Full-text available
Bayesian optimization is an advanced tool to perform efficient global optimization. It consists on enriching iteratively surrogate Kriging models of the objective and the constraints (both supposed to be computationally expensive) of the targeted optimization problem. Nowadays, efficient extensions of Bayesian optimization to solve expensive multi-...
Conference Paper
Recently, there has been a growing interest for mixed categorical meta-models based on Gaussian process (GP) surrogates. In this setting, several existing approaches use different strategies. Among the recently developed methods, we could cite: GP models built using continuous relaxation of the variables, Gower distance based models or GP models de...
Conference Paper
Full-text available
In order to mitigate the impact of the transportation sector on climate change, light and ecological parts must be designed. A lifecycle oriented design methodology with CO2 footprint minimization of parts used in various transports is presented in this work. Only material production and use phase are considered in this work, to have a better under...
Conference Paper
Full-text available
Surrogate models are an essential engineering tool and their popularity has increased recently due to the high computational cost of evaluating real-world simulations. However, most of these functions are described by mixed variables (continuous and categorical), which makes it harder to create accurate interpolation functions. This work builds a s...
Article
Full-text available
Aeroelastic scaling theory shows that the design problem of aeroelastically equivalent scaled aircraft can be treated as a structural-only design problem if the aerodynamic shape and airflow properties of the full scale aircraft are preserved. In that case, the theory shows that it is sufficient to match the scaled natural mode shapes, frequencies...
Conference Paper
Full-text available
Multidisciplinary design optimization methods aim at adapting numerical optimization techniques to the design of engineering systems involving multiple disciplines. In this context, a large number of mixed continuous, integer and categorical variables might arise during the optimization process and practical applications involve a large number of d...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2022-2243.vid Co-design is a multi-disciplinary optimization which can be used to concurrently optimize structural thickness together with the control law. In this work, a co-design method is applied to include a flutter suppression law design in the sizing of an aeroelastic wing. A nested or multi...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2022-2538.vid Time domain rapid methodologies for dynamic fluid-structure interactions for gust loads computation are presented in this work. In order to reduce the CPU cost of the high-fidelity simulations, different alternatives are compared: an unsteady strip theory, a modification of Wagner lif...
Article
Full-text available
Multi-scale topology optimization (a.k.a. micro-structural topology optimization, MTO) consists in optimizing macro-scale and micro-scale topology simultaneously. MTO could improve structural performance of products significantly. However, a few issues related to connectivity between micro-structures and high computational cost have to be addressed...
Article
Full-text available
In recent years, Topology Optimization (TO) gained interest in the scientific community. It assists in finding the best arrangement of material in a design volume. The classical approach named ”Solid Isotropic Material with Penalization” (SIMP) associates a fictitious density to each finite element in the domain. While SIMP is described as an impli...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2021-3099.vid A multifidelity approach for the solution of aeroelastic optimization problems is developed using open-source tools. The Multidisciplinary Optimization problem is managed via OpenMDAO and a dedicated python library. Aerodynamics are solved with PANAIR, with a detailed mesh for the Hig...
Conference Paper
Full-text available
The repetitive nature of cellular lattice structures brings various interesting features among which fast assembly and repair time, reduced tooling, and manufacturing costs are major advantages. Additionally, as the mechanical performances of the structure are heavily influenced by the topology and materials of the cell, the designers can optimize...
Conference Paper
Full-text available
Multidisciplinary Design Optimization (MDO) methods aim at adapting numerical optimization techniques to the design of engineering systems involving multiple disciplines or components. Among MDO architectures, various ones are considering the resolution of the Multidisciplinary Design Analysis (MDA). In our study, the system of interest being an ai...
Conference Paper
Full-text available
Detect and prevent an aircraft instability condition is extremely important, especially for flight control, and morphing airfoils can be used for this purpose. This work proposes the determination of a digital morphing airfoil, using a deep learning approach, to avoid an unstable aeroelastic condition in a 2D wing model. To parametrize the airfoil'...
Article
With renewed interest in lunar exploration and the upcoming deployment of the lunar space station, the Lunar Orbital Platform-Gateway (LOP-G), a scientific community, is focusing on the design of a lander to bring people back to the lunar surface. This work focuses on optimizing two aspects of the lunar lander concurrently: the mission architecture...
Preprint
Full-text available
Structural optimization (topology, shapes, sizing) is an important tool for facilitating the emergence of new concepts in structural design. Normally, topology optimization is carried out at the early stage of design and then shape and sizing design are performed sequentially. Unlike traditional topology optimization method, explicit methodologies...
Article
Full-text available
The classical aeroelastic scaling theory used to design scaled models is based on the assumption that complete flow similarity exists between the full aircraft and the scaled model. When this condition is satisfied, the scaling problem of the model can be treated as a structural design problem only, where the scaled aerodynamic shape is preserved....
Conference Paper
Full-text available
Co-design is a multi-disciplinary optimization which aims to concurrently optimize structure and control law. In this work, a co-design method is applied to include a flutter suppression law design in an aeroelastic wing sizing exercise. A nested architecture is used. The outer loop optimizes a beam cross-section and the inner loop is a structured...
Article
Full-text available
The traditional approach for the design of aeroelastically scaled models assumes that either there exists flow similarity between the full-size aircraft and the model, or that flow non-similarities have a negligible effect. However, when trying to reproduce the behavior of an airliner that flies at transonic conditions using a scaled model that fli...
Article
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Isogeometric shape optimization has been now studied for over a decade. This contribution aims at compiling the key ingredients within this promising framework, with a particular attention to sensitivity analysis. Based on all the researches related to isogeometric shape optimization, we present a global overview of the process which has emerged. T...
Article
Full-text available
In this work, large-scale structural optimization problems involving non-ordinal categorical design variables and continuous variables are investigated. The aim is to minimize the weight of a structure with respect to cross-section areas, with materials and stiffening principles selection. First, the problem is formulated using a bi-level decomposi...
Article
Full-text available
Hybrid-electric aircraft are a potential way to reduce the environmental footprint of aviation. Research aimed at this subject has been pursued over the last decade; nevertheless, at this stage, a full overall aircraft design procedure is still an open issue. This work proposes to enrich the procedure for the conceptual design of hybrid aircraft fo...
Conference Paper
In the past years, air traffic has continuously increased, with an impact on the emissions level. Thus it has become a major issue for the aeronautical field to face its responsibilities and seek for solutions to lower its environmental footprint. To cope with this problem, research is focusing on the study of unconventional configurations that dep...
Preprint
Full-text available
Hybrid electric aircraft are a potential way to reduce the environmental footprint of aviation. Research aimed at this subject has been pursued over the last decade; nevertheless, at this stage a full overall aircraft design procedure is still an open issue. This work proposes to enrich the procedure for the conceptual design of hybrid aircraft fo...
Article
Full-text available
The present work demonstrates how a light structure can be easily designed through Topology Optimization even including complex analysis and sizing criteria such as hyperelastic Neo-Hookean materials for nonlinear analysis and aggregated stress constraints. The SIMP approach was adopted and two different strategies were analysed using an in house v...
Preprint
Full-text available
Structural topology optimization has seen many methodological advances in the past few decades. In this work we focus on continuum-based structural topology optimization and more specifically on geometric feature based approaches, also known as explicit topology optimization, in which a design is described as the assembly of simple geometric compon...
Article
Structural topology optimization has seen many methodological advances in the past few decades. In this work we focus on continuum-based structural topology optimization and more specifically on geometric feature based approaches, also known as explicit topology optimization, in which a design is described as the assembly of simple geometric compon...
Article
This paper focuses on the experimental validation of a new methodology for substitution of Liquid Hydrogen (LH2) on a simplified model of launcher cryogenic tank in vibration analysis by using pre-stressed grains as surrogate materials. The objective of the experiments presented here is to analyze the modal behavior of the (Tank and Granular materi...
Preprint
Full-text available
Reducing fuel consumption is a major driver for the design of future aircraft. The engine integration primary structure plays a significant role in the integrated engine thrust-specific fuel consumption. A topology optimization framework was developed to design the primary structure integrating the engine to the aircraft wing considering mass, stre...
Article
Full-text available
Originally, Isogeometric Analysis aimed at using geometric models for the structural analysis. The actual realization of this objective to complex real-world structures requires a special treatment of the non-conformities between the patches generated during the geometric modeling. Different advanced numerical tools now enable to analyze elaborated...
Conference Paper
Full-text available
Predictions and design engineering decisions can be made using a variety of information sources that range from experimental data to computer models. These information sources could consist of different mathematical formulations, different grid resolutions, different physics, or different modeling assumptions that simplify the problem. This leads t...
Conference Paper
Full-text available
Ce travail de recherche présente une méthodologie pour l'optimisation topologique de structures adaptatives. Elle utilise la mécanique non linéaire comme brique essentielle pour changer l'état de la structure sous une sollicitation donnée (bi-stable). L'originalité repose principalement sur un environ-nement de développement Matlab basé sur la méth...
Conference Paper
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Ce papier présente une exploration et l’application de méthodes visant à intégrer la fabrication additive (FA) à l’optimisation topologique. Les contraintes classiques dites d’overhang sont appliquées sans traitement supplémentaire (post processing). Les techniques courantes de post-traitement incluent souvent l’interprétation de la solution (lissa...
Article
Full-text available
Surrogate models are often used to reduce the cost of design optimization problems that involve computationally costly models, such as computational fluid dynamics simulations. However, the number of evaluations required by sur-rogate models usually scales poorly with the number of design variables, and there is a need for both better constraint fo...
Article
Full-text available
The surrogate modeling toolbox (SMT) is an open-source Python package that contains a collection of surrogate modeling methods, sampling techniques, and benchmarking functions. This package provides a library of surrogate models that is simple to use and facilitates the implementation of additional methods. SMT is different from existing surrogate...
Article
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This work explores the use of solid-shell elements in the the framework of isogeometric shape optimization of shells. The main difference of these elements with respect to pure shell ones is their volumetric nature which can provide recognized benefits to analyze, for example, structures with non-linear behaviors. From the design point of view, we...
Article
Full-text available
Isogeometric shape optimization uses a unique model for the geometric description and for the analysis. The benefits are multiple: in particular, it avoids tedious procedures related to mesh updates. However, although the analysis of complex multipatch structures now becomes tractable with advanced numerical tools, isogeometric shape optimization h...
Article
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The demand for designing lightweight structures without any loss of strength or stiffness has conducted many engineers and researchers to seek for alternative joining methods. In this context, adhesive bonding may appear as an attractive joining method. However the interest of adhesive bonding remains while the structural integrity of the joint is...
Article
This paper focuses on a new methodology for substitution of Liquid Hydrogen (LH2) contained in cryogenic tank in vibration analysis by using surrogate granular materials. Our analysis is limited to a 3D tank that is supposed to be fully filled with granular grains and tries to establish a modal equivalence between (tank fully filled with LH2) and (...
Article
Full-text available
The aviation's goal for the next decades is to drastically reduce emissions, but to achieve this goal a breakdown in aircraft design has to be considered. One of the most promising concepts is the Blended Wing-Body, which integrates aerodynamics, propulsion and structure, and has a better aerodynamics efficiency, thanks to the reduction of the wett...
Preprint
Full-text available
Tying non-matching meshes is needed in many instances of finite element modeling. Multiple techniques have been proposed in the literature to accomplish the correct communication between different discretizations. They all seek to achieve some trade-off in terms of accuracy, complexity and computational cost. In this work we review several of the e...