All Stories

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