All Stories

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