All Stories

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