Didier Lemosse

ORCID: 0000-0003-1510-8922
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About
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Research Areas
  • Probabilistic and Robust Engineering Design
  • Structural Health Monitoring Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Vibration and Dynamic Analysis
  • Wind and Air Flow Studies
  • Biomimetic flight and propulsion mechanisms
  • Fatigue and fracture mechanics
  • Wind Energy Research and Development
  • Structural Response to Dynamic Loads
  • Mechanical stress and fatigue analysis
  • Fluid Dynamics and Turbulent Flows
  • Optical measurement and interference techniques
  • Structural Analysis of Composite Materials
  • Non-Destructive Testing Techniques
  • Advanced Measurement and Metrology Techniques
  • Elevator Systems and Control
  • Spine and Intervertebral Disc Pathology
  • Concrete Corrosion and Durability
  • Reliability and Maintenance Optimization
  • Fluid Dynamics and Vibration Analysis
  • Optimal Experimental Design Methods
  • Structural Integrity and Reliability Analysis
  • Aerospace Engineering and Energy Systems
  • Evaluation Methods in Various Fields
  • High-Velocity Impact and Material Behavior

Université de Rouen Normandie
2006-2023

Institut National des Sciences Appliquées Rouen Normandie
2010-2023

Laboratoire de Mécanique de Normandie
2018-2023

Normandie Université
2016-2023

Euclid Network
2013

Arts et Métiers
1998

This article aims at optimizing laminated composite plates taking into account uncertainties in the structural dimensions. As composites require a global optimization tool, Particle Swarm Optimization (PSO) method is employed. A new Reliability Based Design (RBDO) methodology based on safety factors presented and coupled with PSO. Such are derived from Karush–Kuhn–Tucker optimality conditions of reliability index approach eliminate need for analysis RBDO. The plate weight minimization...

10.1080/0305215x.2010.535818 article EN Engineering Optimization 2011-04-01

Abstract This article aims at approximating the probability density function (PDF) of optimal point an optimization process. The full characterization PDF optimum is expected to lead more precise failure prevision and increased safety with a cheaper design when compared less accurate approaches such as those which approximate random variables using only their mean variance. polynomial chaos expansion (PCE) employed resulting functional minimized stochastic approximation techniques. Several...

10.1080/0305215x.2010.489607 article EN Engineering Optimization 2010-10-11

Surrogate models have been widely used for Reliability-Based Design Optimization (RBDO) to solve complex engineering problems. However, the accuracy and efficiency of surrogate-based RBDO largely rely on sample size sampling methods. For this reason, successive methods that update surrogate successively are more promising. Nowadays, several Kriging-based approaches proposed with different techniques. these based Monte Carlo simulations double-loop such most them would be time consuming high...

10.1080/0305215x.2020.1800664 article EN Engineering Optimization 2020-09-07

The vibration of wind turbine towers is relevant to the reliability structure and quality power production. It produces both ultimate loads fatigue threatening structural safety. This paper aims reduce in using an active damper named twin rotor (TRD). A single degree freedom (SDOF) oscillator with TRD used approximate response turbines under a unidirectional gusty loss electrical network. coincidence between gust grid studied involve maximum loading on structure. performance proposed damping...

10.3390/infrastructures6110162 article EN cc-by Infrastructures 2021-11-11

In this paper, an approach is proposed to conduct reliability analysis on offshore jacket considering corrosion degradation under extreme load cases. Corrosion considered as thickness wastage of the element, which seen time-dependent variables. One probabilistic in literature adopted by using different distribution models. Also, three inspection cases (environmental conditions) are studied. The assessment evaluated Crude Monte Carlo simulation based trained surrogate model. Deep neural...

10.23967/wccm-eccomas.2020.321 article EN cc-by-nc-sa 14th WCCM-ECCOMAS Congress 2020 2021-01-01

Abstract Reliability-Based Design Optimization (RBDO) has been developed to design structures that reach the best compromise between cost reduction and reliability by considering uncertainties. This is achieved reformulating initial optimization problem in order introduce probabilistic constraints. Numerical evaluation of these constraints direct approaches turns out be difficult: estimation probability failure implies calculation multidimensional integrals. The integrals often rely on...

10.1080/0305215x.2012.690868 article EN Engineering Optimization 2012-07-17

The design of reinforced concrete (RC) structures involves several kinds uncertainties, which are usually considered through the partial safety factors prescribed in codes practice. traditional optimization RC uses deterministic information problem. used to consider loading fluctuation and variability material properties. use these leads over-designing structures, as calibrated for a large class structures. In procedure reliability cannot be controlled. For this reason, Reliability-Based...

10.1615/int.j.uncertaintyquantification.2013005786 article EN International Journal for Uncertainty Quantification 2013-01-01

The models of 3D unsteady coupled fluid-structure systems such as swimming fins are numerically too expensive to be optimized. Designers must therefore make preliminary decisions based on simplified models. In particular, considering 2D cases for optimization is a standard practice. design then needs translated into its counterpart. current work an example problem. objective monofin using optimal flexural stiffness distribution determined in [1]. this study, was represented by rigid bars...

10.4203/ccp.80.30 article EN Civil-comp proceedings 2009-05-26

10.4203/ccp.65.8.2 article EN Civil-comp proceedings 2009-07-02
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