All Stories

  1. A tractable nonparametric probabilistic approach for modeling and quantifying model-form uncertainty in turbulent CFD
  2. Size effects of rarefied gas flows in nanochannels by simulations based on statistical surrogate model for atomistic collisions
  3. Quantum computer formulation of the FKP-operator eigenvalue problem for probabilistic learning on manifolds
  4. From Discrete to Continuum: A Generalized Euler–Maclaurin Framework for Scale Effects in Nanomechanics
  5. Probabilistic Learning on Manifolds for Statistical Surrogate Models in Uncertain Nano-to-Macro Stochastic Systems
  6. A Tractable Nonparametric Probabilistic Approach for Modeling and Quantifying Model-Form Uncertainty in CFD Computations With Turbulence Modeling
  7. Transient anisotropic kernel for probabilistic learning on manifolds
  8. Statistical Metamodel of Liner Acoustic Impedance Based on Neural Network and Probabilistic Learning for Small Datasets
  9. Stochastic second-gradient continuum theory for particle-based materials: part II
  10. Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model using Probabilistic Learning with Partial Observability and Incomplete dataset
  11. Identifying Second-Gradient Continuum Models in Particle-Based Materials with Pairwise Interactions Using Acoustic Tensor Methodology
  12. Concurrent multiscale simulations of nonlinear random materials using probabilistic learning
  13. Reconstruction of Random Fields Concentrated on an Unknown Curve using Irregularly Sampled Data
  14. A higher-order nonlocal elasticity continuum model for deterministic and stochastic particle-based materials
  15. Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems
  16. Measurements-based constrained control optimization in presence of uncertainties with application to the driver commands for high-speed trains
  17. Probabilistic Learning Inference Constrained by an Uncertain Model and a Target: A General Method with Application to Elasticity Homogenization Without Scale Separation
  18. This paper is an overview on uncertainty quantification and probabilistic learning on manifolds
  19. Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate
  20. Aeroacoustic Liner Impedance Metamodel from Simulation and Experimental Data Using Probabilistic Learning
  21. Sensitivity of a homogeneous and isotropic second‐gradient continuum model for particle‐based materials with respect to uncertainties
  22. Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool
  23. Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
  24. Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool
  25. Detuning Optimization of Nonlinear Mistuned Bladed-Disks
  26. Probabilistic learning inference of boundary value problem with uncertainties based on Kullback–Leibler divergence under implicit constraints
  27. Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics
  28. Stochastic elliptic operators defined by non-Gaussian random fields with uncertain spectrum
  29. Probabilistic learning on manifolds (PLoM) with partition
  30. Optimisation of train speed to limit energy consumption
  31. Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure
  32. A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds
  33. Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
  34. Robust Three-Dimensional Acoustic Performance Probabilistic Model for Nacelle Liners
  35. A Novel Source-Filter Stochastic Model for Voice Production
  36. Multi-Frequency Model Reduction for Uncertainty Quantification in Computational Vibroacoustics of Automobiles
  37. Machine learning for detecting structural changes from dynamic monitoring using the probabilistic learning on manifolds
  38. Fatigue analysis of a bridge deck using the peaks-over-threshold approach with application to the Millau viaduct
  39. Probabilistic learning and updating of a digital twin for composite material systems
  40. Stochastic computational model of 3D acoustic noise predictions for nacelle liners
  41. Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
  42. Structural uncertainty modeling for nonlinear geometric response using nonintrusive reduced order models
  43. Uncertainty quantification for dynamics of geometrically nonlinear structures coupled with internal acoustic fluids in presence of sloshing and capillarity
  44. Compressed Principal Component Analysis of Non-Gaussian Vectors
  45. Computation of Sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds
  46. IDENTIFICATION OF A STOCHASTIC PROCESS MODELING THE STIFFNESS OF THE VOCAL FOLDS FOR A VOICE PRODUCTION MODEL REPRESENTED BY A NEURAL NETWORK
  47. Non-Gaussian Random Fields in Multiscale Mechanics of Heterogeneous Materials
  48. Novel formulation for the effects of sloshing with capillarity on elastic structures in linear dynamics
  49. Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework
  50. Robust dynamic analysis of detuned-mistuned rotating bladed disks with geometric nonlinearities
  51. Probabilistic analysis of the effect of the combination of traffic and wind actions on a cable-stayed bridge
  52. Feasible Probabilistic Learning Method for Model-Form Uncertainty Quantification in Vibration Analysis
  53. Statistical inverse identification for nonlinear train dynamics using a surrogate model in a Bayesian framework
  54. Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis
  55. Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds
  56. Physics‐constrained non‐Gaussian probabilistic learning on manifolds
  57. Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models
  58. Entropy-based closure for probabilistic learning on manifolds
  59. Nonparametric probabilistic approach for uncertainty quantification of geometrically nonlinear mistuned bladed-disks.
  60. Nonlinear Dynamical Analysis for Coupled Fluid-Structure Systems
  61. Mistuning Analysis of a Detuned Bladed-Disk With Geometrical Nonlinearities
  62. Vibroacoustic Model’s Likelihood Computation Based on a Statistical Reduction of Random FRF Matrices
  63. High-speed train suspension health monitoring using computational dynamics and acceleration measurements
  64. Experimental evaluation and model of a nonlinear absorber for vibration attenuation
  65. Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites
  66. Revisiting the experiment of a free-surface resonance of a liquid in a vibration tank using a nonlinear fluid–structure computational model
  67. Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds
  68. Probabilistic learning on manifolds
  69. Scientific machine learning for model-form uncertainties in nonlinear computational mechanics
  70. Solving generalized eigenvalue problems for large scale fluid-structure computational models with mid-power computers
  71. Stochastic mechanical model of vocal folds for producing jitter and for identifying pathologies through real voices
  72. Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems
  73. Symbolic and numeric scheme for solution of linear integro-differential equations with random parameter uncertainties and Gaussian stochastic process input
  74. Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints
  75. Optimal Well-Placement Using Probabilistic Learning
  76. A Stochastic Projection-Based Hyperreduced Order Model for Model-Form Uncertainties in Vibration Analysis
  77. Nonlinear Geometric Modeling of Uncertain Structures Through Nonintrusive Reduced Order Modeling
  78. Non-Gaussian Random Fields in Multiscale Mechanics of Heterogeneous Materials
  79. Design optimization under uncertainties of a mesoscale implant in biological tissues using a probabilistic learning algorithm
  80. Modeling and Quantification of Model-Form Uncertainties in Eigenvalue Computations Using a Stochastic Reduced Model
  81. Probabilistic nonconvex constrained optimization with fixed number of function evaluations
  82. Computational Vibroacoustics in Low- and Medium- Frequency Bands: Damping, ROM, and UQ Modeling
  83. Optimal Design of the Acoustic Treatments Damping the Noise Radiated by a Turbo-Fan Engine
  84. Nested polynomial trends for the improvement of Gaussian process-based predictors
  85. Polynomial chaos representation of databases on manifolds
  86. Random Matrix Models and Nonparametric Method for Uncertainty Quantification
  87. Elements of Probability Theory
  88. Random Vectors and Random Fields in High Dimension: Parametric Model-Based Representation, Identification from Data, and Inverse Problems
  89. Robust Analysis with Respect to the Uncertainties for Analysis, Updating, Optimization, and Design
  90. Fundamental Notions in Stochastic Modeling of Uncertainties and Their Propagation in Computational Models
  91. Markov Process and Stochastic Differential Equation
  92. Fundamental Tools for Statistical Inverse Problems
  93. Brief Overview of Stochastic Solvers for the Propagation of Uncertainties
  94. Fundamental Probabilistic Tools for Stochastic Modeling of Uncertainties
  95. Uncertainty Quantification in Computational Structural Dynamics and Vibroacoustics
  96. Random Fields and Uncertainty Quantification in Solid Mechanics of Continuum Media
  97. AN IMPROVEMENT OF THE UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL STRUCTURAL DYNAMICS WITH NONLINEAR GEOMETRICAL EFFECTS
  98. MCMC Methods for Generating Realizations and for Estimating the Mathematical Expectation of Nonlinear Mappings of Random Vectors
  99. Voice Signals Produced With Jitter Through a Stochastic One-mass Mechanical Model
  100. Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations
  101. Uncertainty Quantification
  102. Uncertainty Quantification for an Elasto-acoustic Nonlinear Reduced-Order Computational Model.
  103. Bayesian calibration of mechanical parameters of high-speed train suspensions
  104. Identifying a stochastic process related to the stiffness in a voice production mechanical model
  105. Model uncertainties in computational viscoelastic linear structural dynamics
  106. Nonlinear model reduction for computational vibration analysis of structures with weak geometrical nonlinearity coupled with linear acoustic liquids in the presence of linear sloshing and capillarity
  107. Multilevel model reduction for uncertainty quantification in computational structural dynamics
  108. Experimental multiscale measurements for the mechanical identification of a cortical bone by digital image correlation
  109. Nonlinear Microstructured Material to Reduce Noise and Vibrations at Low Frequencies
  110. Data-driven probability concentration and sampling on manifold
  111. Stochastic prediction of high-speed train dynamics to long-term evolution of track irregularities
  112. A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models
  113. Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures
  114. Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
  115. Jitter generation in voice signals produced by a two-mass stochastic mechanical model
  116. Characterization of the evolution of the train dynamic response under the effect of track irregularities
  117. Maximum entropy modeling of discrete uncertain properties with application to friction
  118. L’œdème cérébral péri-anévrismal : prévalence, facteurs de risque et conséquences cliniques
  119. L’œdème cérébral péri-anévrismal : prévalence, facteurs de risque et conséquences cliniques
  120. Sensitivity of train stochastic dynamics to long-term evolution of track irregularities
  121. Uncertainty Quantification for Nonlinear Reduced-Order Elasto-Dynamics Computational Models
  122. NONPARAMETRIC PROBABILISTIC APPROACH OF MODEL UNCERTAINTIES INTRODUCED BY A PROJECTION-BASED NONLINEAR REDUCED-ORDER MODEL
  123. MULTILEVEL STOCHASTIC REDUCED-ORDER MODEL IN LINEAR STRUCTURAL DYNAMICS FOR COMPLEX STRUCTURES
  124. Multilevel reduced-order computational model in structural dynamics for the low- and medium-frequency ranges
  125. Mistuning analysis and uncertainty quantification of an industrial bladed disk with geometrical nonlinearity
  126. Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
  127. Mathematical modeling of horizontal drillstrings subjected to friction and shocks effects
  128. Quantification of the influence of the track geometry variability on the train dynamics
  129. Uncertainty Quantification for an Industrial Mistuned Bladed Disk With Geometrical Nonlinearities
  130. Robust design optimization with an uncertain model of a nonlinear vibro-impact electro-mechanical system
  131. Introduction
  132. Modeling of transient wave propagation in a heterogeneous solid layer coupled with fluid: Application to long bones
  133. Reduced-Order Computational Model for Low-Frequency Dynamics of Automobiles
  134. Encyclopedia of Applied and Computational Mathematics
  135. Random Matrix Models and Nonparametric Method for Uncertainty Quantification
  136. Random Vectors and Random Fields in High Dimension: Parametric Model-Based Representation, Identification from Data, and Inverse Problems
  137. A STOCHASTIC MECHANICAL MODEL TO GENERATE JITTER IN THE PRODUCTION OF VOICED SOUNDS
  138. UNCERTAINTY QUANTIFICATION IN NONLINEAR STRUCTURAL DYNAMICS FOR MISTUNED BLADED DISKS
  139. REMARKS ON STOCHASTIC PROPERTIES OF MATERIALS THROUGH FINITE DEFORMATIONS
  140. Robust Design in Multibody Dynamics – Application to Vehicle Ride-comfort Optimization
  141. MULTISCALE IDENTIFICATION OF THE RANDOM ELASTICITY FIELD AT MESOSCALE OF A HETEROGENEOUS MICROSTRUCTURE USING MULTISCALE EXPERIMENTAL OBSERVATIONS
  142. Polynomial Chaos Expansion of a Multimodal Random Vector
  143. STATISTICAL INVERSE PROBLEMS FOR NON-GAUSSIAN NON-STATIONARY STOCHASTIC PROCESSES DEFINED BY A SET OF REALIZATIONS
  144. STOCHASTIC REPRESENTATIONS AND STATISTICAL INVERSE IDENTIFICATION FOR UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL MECHANICS
  145. Model identification in computational stochastic dynamics using experimental modal data
  146. Vibration of structures containing compressible liquids with surface tension and sloshing effects. Reduced-order model
  147. Dynamic stability of a pipe conveying fluid with an uncertain computational model
  148. A coupling method for stochastic continuum models at different scales
  149. Clarification about Component Mode Synthesis Methods for Substructures with Physical Flexible Interfaces
  150. Computational Geometrically Nonlinear Vibration Analysis of Uncertain Mistuned Bladed Disks
  151. Variational-Based Reduced-Order Model in Dynamic Substructuring of Coupled Structures Through a Dissipative Physical Interface: Recent Advances
  152. MODELING THE TRACK GEOMETRY VARIABILITY
  153. Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation
  154. Random field representations for stochastic elliptic boundary value problems and statistical inverse problems
  155. Introduction
  156. A coupling method for stochastic continuum models at different scales
  157. Computational nonlinear stochastic dynamics with model uncertainties and nonstationary stochastic excitation
  158. Generation of non-Gaussian tensor-valued random fields using an ISDE-based algorithm
  159. Statistical inverse problems for non-Gaussian vector valued random fields with a set of experimental realizations
  160. Ultrasound Wave Propagation in a Stochastic Cortical Bone Plate
  161. Itô SDE--based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification
  162. Identification of a Mesoscale Model with Multiscale Experimental Observations
  163. DYNAMICAL BEHAVIOR OF TRAINS EXCITED BY A NON-GAUSSIAN VECTOR VALUED RANDOM FIELD
  164. GENERATION OF RESPONSE SPECTRUM COMPATIBLE ACCELEROGRAMS USING THE MAXIMUM ENTROPY PRINCIPLE
  165. A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations
  166. STABILITY AND RESPONSE ANALYSIS OF A PIPE WITH INTERNAL FLOW ANALYZED WITH AN UNCERTAIN COMPUTATIONAL MODEL
  167. Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases
  168. Generation of accelerograms compatible with design specifications using information theory
  169. Uncertainty quantification of voice signal production mechanical model and experimental updating
  170. Track irregularities stochastic modeling
  171. Bayesian posteriors of uncertainty quantification in computational structural dynamics for low-and medium-frequency ranges
  172. Reduced-order computational model in nonlinear structural dynamics for structures having numerous local elastic modes in the low-frequency range. Application to fuel assemblies
  173. Stochastic reduced order computational model of structures having numerous local elastic modes in low frequency dynamics
  174. Stochastic multiscale modelling of elastic properties of bone ultrastructure
  175. Nonparametric Stochastic Modeling of Structures with Uncertain Boundary Conditions/Coupling Between Substructures
  176. Karhunen–Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.
  177. Stochastic modeling of uncertainties in computational structural dynamics—Recent theoretical advances
  178. Non-Concurrent Computational Homogenization of Nonlinear, Stochastic and Viscoelastic Materials
  179. Uncertainty quantification in computational stochastic multiscale analysis of nonlinear elastic materials
  180. Robustness analysis of an uncertain computational model to predict well integrity for geologic CO2 sequestration
  181. Prior Representations of Random Fields for Stochastic Multiscale Modeling
  182. Random Dynamical Response of a Multibody System with Uncertain Rigid Bodies
  183. UNCERTAINTY QUANTIFICATION IN LOW-FREQUENCY DYNAMICS OF COMPLEX BEAM-LIKE STRUCTURES HAVING A HIGH-MODAL DENSITY
  184. Calculation of Lagrange Multipliers in the Construction of Maximum Entropy Distributions in High Stochastic Dimension
  185. Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems
  186. Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media
  187. Computational strategy for the crash design analysis using an uncertain computational mechanical model
  188. Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation
  189. Stochastic modeling and identification of an uncertain computational dynamical model with random fields properties and model uncertainties
  190. Stochastic Models of Uncertainties in Computational Mechanics
  191. Computational Nonlinear Thermomechanical Model of Large Light Partition Walls Based on Experimental Analysis and Probabilistic Models
  192. Robust Analysis of Design in Vibration of Turbomachines
  193. Memorium
  194. Probabilistic model of the human cortical bone with mechanical alterations in ultrasonic range
  195. Special Issue on Computational Intelligence in Structural Engineering and Mechanics
  196. On the Statistical Dependence for the Components of Random Elasticity Tensors Exhibiting Material Symmetry Properties
  197. Uncertainty Quantification in Computational Nonlinear Elasticity
  198. USING BAYESIAN METHOD FOR UPDATING THE PROBABILITY DENSITY FUNCTION RELATED TO THE TENSION PARAMETER IN A VOICE PRODUCTION MODEL
  199. Advanced Computational Dissipative Structural Acoustics and Fluid-Structure Interaction in Low-and Medium-Frequency Domains. Reduced-Order Models and Uncertainty Quantification
  200. Computational nonlinear stochastic homogenization using a nonconcurrent multiscale approach for hyperelastic heterogeneous microstructures analysis
  201. Probabilistic modeling of apparent tensors in elastostatics: A MaxEnt approach under material symmetry and stochastic boundedness constraints
  202. Nondeterministic Mechanics
  203. Stochastic Models of Uncertainties in Computational Structural Dynamics and Structural Acoustics
  204. Stochastic modeling of anisotropy in multiscale analysis of heterogeneous materials: A comprehensive overview on random matrix approaches
  205. Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations
  206. Generalized stochastic approach for constitutive equation in linear elasticity: a random matrix model
  207. Rigid multibody system dynamics with uncertain rigid bodies
  208. A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension
  209. Stochastic representation for anisotropic permeability tensor random fields
  210. Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity
  211. Experimental identification of an uncertain computational dynamical model representing a family of structures
  212. Non-Gaussian positive-definite matrix-valued random fields with constrained eigenvalues: Application to random elasticity tensors with uncertain material symmetries
  213. Equivalent contributing depth investigated by a lateral wave with axial transmission in viscoelastic cortical bone
  214. A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures
  215. Structural partitioning of complex structures in the medium-frequency range. An application to an automotive vehicle
  216. A Stochastic Model for Elasticity Tensors Exhibiting Uncertainties on Material Symmetries
  217. On the determination of the power spectrum of randomly excited oscillators via stochastic averaging: An alternative perspective
  218. Stochastic Reduced-Order Model in Low-Frequency Dynamics in Presence of Numerous Local Elastic Modes
  219. Probabilistic Model of Human Cortical Bones with Uncertain Mechanical Properties for Modeling Random Experimental Measurements in Ultrasonic Range
  220. Stochastic Reduced Order Models for Uncertain Infinite-Dimensional Geometrically Nonlinear Dynamical Systems- Stochastic Excitation Cases
  221. A stochastic model for elasticity tensors with uncertain material symmetries
  222. Probabilistic model identification of the bit–rock-interaction-model uncertainties in nonlinear dynamics of a drill-string
  223. Computational Model for Long-Range Non-Linear Propagation over Urban Cities
  224. Stochastic dynamics of a drill-string with uncertain weight-on-hook
  225. Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data
  226. Prior and posterior probabilistic models of uncertainties in a model for producing voice
  227. Some aspects of probabilistic modeling, identification and propagation of uncertainties in computational mechanics
  228. Sound-Insulation Layer Modelling in Car Computational Vibroacoustics in the Medium-Frequency Range
  229. Identification of Bayesian posteriors for coefficients of chaos expansions
  230. Influence of viscoelastic and viscous absorption on ultrasonic wave propagation in cortical bone: Application to axial transmission
  231. Information Theory for Generation of Accelerograms Associated with Shock Response Spectra
  232. Erratum to: Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model
  233. Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model
  234. A Reduced-Order Model of Detuned Cyclic Dynamical Systems With Geometric Modifications Using a Basis of Cyclic Modes
  235. Computational Aspects for Constructing Realizations of Polynomial Chaos in High Dimension
  236. Mesoscale probabilistic models for the elasticity tensor of fiber reinforced composites: Experimental identification and numerical aspects
  237. Nonparametric probabilistic approach of uncertainties for elliptic boundary value problem
  238. Experimental identification of turbulent fluid forces applied to fuel assemblies using an uncertain model and fretting-wear estimation
  239. Non-linear dynamics of a drill-string with uncertain model of the bit–rock interaction
  240. Time-domain model of the ultrasonic wave propagation in an inhomogeneous anisotropic viscoelastic fluid/solid multilayer medium: application to cortical bone
  241. Nonlinear parabolic equation model for finite-amplitude sound propagation over porous ground layers
  242. Probabilistic model and experimental identification of screw-attachment in plasterboard
  243. Influence of a gradient of material properties on ultrasonic wave propagation in cortical bone: Application to axial transmission
  244. Energy-density field approach for low- and medium-frequency vibroacoustic analysis of complex structures using a statistical computational model
  245. Sound-Insulation Layers Low-Frequency Modeling, Using the Fuzzy Structure Theory
  246. Energy Density Field Approach for Low- and Medium-Frequency Vibroacoustic Analysis of a Car Body Using a Probabilistic Computational Model
  247. Reduced Chaos decomposition with random coefficients of vector-valued random variables and random fields
  248. Determination of the random anisotropic elasticity layer using transient wave propagation in a fluid-solid multilayer: Model and experiments
  249. Computational stochastic heat transfer with model uncertainties in a plasterboard submitted to fire load and experimental validation
  250. Robust Analysis of Design in Vibration of Turbomachines
  251. Advanced Computational Vibroacoustics
  252. Response of Bladed Disks With Mistuned Blade-Disk Interfaces
  253. Generalized probabilistic approach of uncertainties in computational dynamics using random matrices and polynomial chaos decompositions
  254. Fuzzy structure theory modeling of sound-insulation layers in complex vibroacoustic uncertain systems: Theory and experimental validation
  255. Influence of viscoelasticity on the ultrasonic wave propagation in cortical bone: Application to the axial transmission technique.
  256. Uncertainties in Drill Dynamics: The Role of a Random Weight-on-Hook
  257. Computational elastoacoustics of uncertain complex systems and experimental validation
  258. Construction of probability distributions in high dimension using the maximum entropy principle: Applications to stochastic processes, random fields and random matrices
  259. Reliability analysis of a satellite structure with a parametric and a non-parametric probabilistic model
  260. Inverse problems in stochastic computational dynamics
  261. Experimental identification of stochastic processes using an uncertain computational non-linear dynamical model
  262. Robust Updating of Uncertain Computational Models Using Experimental Modal Analysis
  263. Robust updating of uncertain damping models in structural dynamics for low- and medium-frequency ranges
  264. Stochastic inverse problem for the experimental identification in the ultrasonic range of a mechanical model for cortical bones
  265. Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation
  266. Parametric and nonparametric models of the impedance matrix of a random medium
  267. Modeling random uncertainties in voice production using a parametric approach
  268. Probabilistic Uncertainty Modeling for Thermomechanical Analysis of Plasterboard Submitted to Fire Load
  269. Theoretical framework and experimental procedure for modelling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites
  270. Structural-acoustic modeling of automotive vehicles in presence of uncertainties and experimental identification and validation
  271. Identification of stochastic loads applied to a non-linear dynamical system using an uncertain computational model and experimental responses
  272. Stochastic reduced order models for uncertain geometrically nonlinear dynamical systems
  273. Probabilistic modeling of a nonlinear dynamical system used for producing voice
  274. Nonlinear parabolic equation model for finite‐amplitude sound propagation in an inhomogeneous medium over a nonflat, finite‐impedance ground surface
  275. Finite element modelling of transient elastic wave propagation in an inhomogeneous anisotropic fluid/solid multilayer medium: A time‐domain method
  276. Stochastic modeling of the vibro‐acoustic behavior of production cars
  277. Nonparametric Stochastic Modeling of Structures with Uncertain Boundary Conditions and Uncertain Coupling Between Substructures
  278. Tensor-valued random fields for meso-scale stochastic model of anisotropic elastic microstructure and probabilistic analysis of representative volume element size
  279. Nonparametric stochastic modeling of linear systems with prescribed variance of several natural frequencies
  280. A time-domain method to solve transient elastic wave propagation in a multilayer medium with a hybrid spectral-finite element space approximation
  281. Probabilistic impedance of foundation: Impact of the seismic design on uncertain soils
  282. Robust Design Optimization in Computational Mechanics
  283. Design Optimization With an Uncertain Vibroacoustic Model
  284. Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model
  285. On measures of nonlinearity effects for uncertain dynamical systems—Application to a vibro-impact system
  286. Nonparametric Stochastic Modeling Of Structural Dynamic and Aeroelastic Systems: Formulation and Novel Extensions
  287. Construction of a probabilistic model for impedance matrices
  288. Remarks on the efficiency of POD for model reduction in non-linear dynamics of continuous elastic systems
  289. MODELING WITH UNCERTAIN PARAMETERS: APPLICATION TO THE ULTRASONIC ASSESSMENT OF BONE QUALITY
  290. Thermo-Mechanical Modeling of Plasterboard Lined Partition Submitted to Fire Load
  291. Data and model uncertainties in complex aerospace engineering systems
  292. Probabilistic approach for model and data uncertainties and its experimental identification in structural dynamics: Case of composite sandwich panels
  293. Identification of Chaos Representations of Elastic Properties of Random Media Using Experimental Vibration Tests
  294. Transient dynamics in structures with non-homogeneous uncertainties induced by complex joints
  295. Probabilistic nonparametric model of impedance matrices. Application to the seismic design of a structure
  296. Maximum likelihood estimation of stochastic chaos representations from experimental data
  297. Elastoacoustic model with uncertain mechanical properties for ultrasonic wave velocity prediction: Application to cortical bone evaluation
  298. Numerical simulation of the axial transmission technique for bone evaluation: a probabilistic approach
  299. Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators
  300. A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics
  301. Modélisation probabiliste d'une expérience ultrasonore : calcul de la dispersion sur les mesures de célérité
  302. Nonparametric Modeling of the Variability of Vehicle Vibroacoustic Behavior
  303. Probabilistic model for random uncertainties in steady state rolling contact
  304. Random matrix theory for modeling uncertainties in computational mechanics
  305. Polynomial chaos representation of a stochastic preconditioner
  306. Blade Manufacturing Tolerances Definition for a Mistuned Industrial Bladed Disk
  307. Random-field model for the elasticity tensor of anisotropic random media
  308. Equivalent acoustic impedance model. Part 2: analytical approximation
  309. Equivalent acoustic impedance model. Part 1: experiments and semi-physical model
  310. Non-linear viscoelastodynamic equations of three-dimensional rotating structures in finite displacement and finite element discretization
  311. EURODYN ?05
  312. Non-parametric–parametric model for random uncertainties in non-linear structural dynamics: application to earthquake engineering
  313. Experimental validation of a nonparametric probabilistic model of nonhomogeneous uncertainties for dynamical systems
  314. Blade Manufacturing Tolerances Definition for a Mistuned Industrial Bladed Disk
  315. Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
  316. Nonparametric Modeling of Random Uncertainties for Dynamic Response of Mistuned Bladed Disks
  317. Uncertain Dynamical Systems in the Medium-Frequency Range
  318. Dynamic Substructuring in the Medium-Frequency Range
  319. Random matrix theory and non-parametric model of random uncertainties in vibration analysis
  320. Random Uncertainties Model in Dynamic Substructuring Using a Nonparametric Probabilistic Model
  321. Specifying Manufacturing Tolerances for a Given Amplification Factor: A Nonparametric Probabilistic Methodology
  322. Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms
  323. Analyse vibratoire par sous-structuration avec modèle non paramétrique d'incertitudes aléatoires non homogènes
  324. Transient responses of dynamical systems with random uncertainties
  325. Structural Acoustics and Vibration
  326. Random matrix theory for modeling random uncertainties in transient elastodynamics
  327. Maximum entropy approach for modeling random uncertainties in transient elastodynamics
  328. Modélisation des incertitudes aléatoires en élastodynamique transitoire
  329. A nonparametric model of random uncertainties for reduced matrix models in structural dynamics
  330. Structural shape parametric optimization for an internal structural-acoustic problem
  331. Estimation of fuzzy structure parameters for continuous junctions
  332. Reduced models for structures in the medium-frequency range coupled with internal acoustic cavities
  333. Main difficulties in the midfrequency range and reduced matrix models for structural‐acoustic problems
  334. Méthodes numériques avancées en vibroacoustique basses et moyennes fréquences
  335. Reduced models in the medium frequency range for general dissipative structural-dynamics systems
  336. Reduced models in the medium-frequency range for general external structural-acoustic systems
  337. Trends in modeling of structural‐acoustics systems with structural complexity in low‐ and medium‐frequency ranges
  338. Fuzzy Structure Theory
  339. Preface
  340. Linear Acoustic Equations
  341. Reduced Model in the MF Range
  342. Structural-Acoustic Master System in the LF Range
  343. Response to Deterministic and Random Excitations
  344. Structural-Acoustic Master System in the MF Range
  345. Dissipative Constitutive Equation for the Master Structure
  346. Master Structure Frequency Response Function
  347. Basic Notions on Variational Formulations
  348. A Strategy for Structural-Acoustic Problems
  349. Linearized Vibrations of Conservative Structures and Structural Modes
  350. Internal Acoustic Fluid Formulation for the LF and MF Ranges
  351. Calculation of the Master Structure Frequency Response Function in the LF Range
  352. External Acoustic Fluid. Boundary Integral Formulation for the LF and MF Ranges
  353. Calculation of the Master Structure Frequency Response Function in the MF Range
  354. Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure
  355. Structural Acoustics and Vibration
  356. Dynamic Substructuring of Damped Structures Using Singular Value Decomposition
  357. MODAL IDENTIFICATION OF WEAKLY NON-LINEAR MULTIDIMENSIONAL DYNAMICAL SYSTEMS USING A STOCHASTIC LINEARISATION METHOD WITH RANDOM COEFFICIENTS
  358. Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure
  359. Low‐frequency/medium‐frequency analysis of a master structure coupled with fuzzy substructures
  360. Vibration damping in low-frequency range due to structural complexity. A model based on the theory of fuzzy structures and model parameters estimation
  361. Parameter estimation for fuzzy structures. A result concerning vibrations in the low‐frequency range
  362. Coupling between an undamped linear acoustic fluid and a damped nonlinear structure—Statistical energy analysis considerations
  363. Stochastic linearization method with random parameters for SDOF nonlinear dynamical systems: prediction and identification procedures
  364. Stationary Response Of Multi-dimensional Second Order Dynamical Systems With Inertial Non-linearity Subjected To Wide-band Random External Excitations
  365. A mathematical formulation for modeling the type I fuzzy parameters for a continuous line fuzzy attachment
  366. The Fokker-Planck Equation for Stochastic Dynamical Systems and Its Explicit Steady State Solutions
  367. A model and numerical method in the medium frequency range for vibroacoustic predictions using the theory of structural fuzzy
  368. Hybrid numerical method for harmonic 3-D Maxwell equations: scattering by a mixed conducting and inhomogeneous anisotropic dielectric medium
  369. Modeling and numerical method in the medium frequency range for vibroacoustic predictions using theory of structural fuzzy
  370. Hybrid numerical method for the 3D harmonic Maxwell equations in the multi-metallic and multi-dielectric bodies cases
  371. Exact stationary response of multi-dimensional non-linear Hamiltonian dynamical systems under parametric and external stochastic excitations
  372. Steady-state solution of Fokker-Planck equation in higher dimension
  373. Mathematics of random phenomena: Random vibrations of mechanical structures
  374. Mathematics of Random Phenomena
  375. Generalized Stochastic Processes
  376. Statistics on Sample Paths
  377. Mathematical Prerequisites
  378. Stochastic Differential Equations
  379. Principles of Probability Theory
  380. Linear Oscillators Subjected to Squared Gaussian Processes
  381. Stochastic Processes and Random Fields
  382. Dynamic Response of Structures Subjected to Wind Loads
  383. Measures on Vector Spaces and Stochastic Modelling
  384. Probabilistic Models of Sea Wave and Applications
  385. Random Oscillations with Intermittent Constraints
  386. Linear Filtering and Spectral Analysis
  387. Markov Realization of Gaussian Processes
  388. Mechanical Fatigue under Random Loading
  389. Probabilistic Approach to the Effects of Earthquakes on Structures
  390. Linear dynamic analysis of mechanical systems in the medium frequency range
  391. The Local Effects in the Linear Dynamic Analysis of Structures in the Medium Frequency Range
  392. Hydroelasticity and the field radiated by a slender elastic body into an unbounded fluid
  393. Méchanique Aléatoire by Paul Krée and Christian Soize
  394. Mécanique Aléatoire, P. Krée and C. Soize, Dunod, Paris, 1983
  395. Oscillators submitted to squared Gaussian processes
  396. ECCS-RECOMMENDATIONS FOR THE CALCULATION OF WIND EFFECTS ON BUILDINGS AND STRUCTURES
  397. Gust Loading Factors with Nonlinear Pressure Terms
  398. References
  399. Glossary
  400. Structure Equations
  401. Vibroacoustic Boundary Value Problem
  402. Definition of the Vibroacoustic System
  403. External Inviscid Acoustic Fluid Equations
  404. Internal Dissipative Acoustic Fluid Equations
  405. Computational Vibroacoustic Model
  406. Reduced-Order Computational Model
  407. Uncertainty Quantification in Computational Vibroacoustics
  408. Random Matrices in Structural Acoustics
  409. Symmetric BEM without Spurious Frequencies for the External Acoustic Fluid
  410. Principal Objectives and a Strategy for Modeling Vibroacoustic Systems
  411. Exact steady-state solution of FKP equation in higher dimension for a class of non linear Hamiltonian dissipative dynamical systems excited by Gaussian white noise
  412. Stochastic Modelling of Track Irregularities
  413. Numerical methods and mathematical aspects for simulation of homogeneous and non homogeneous gaussian vector fields
  414. Long Time Evolution of Train Dynamics with Respect to Track Irregularities