All Stories

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