All Stories

  1. Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification
  2. Bayesian calibration with missing data and model discrepancies: Application to high-speed train with uncertain control
  3. Estimating intractable posterior distributions through Gaussian process regression and metropolis-adjusted Langevin procedure
  4. A Cauchy–Piola framework for micro-based micromorphic continua. Part II: a geometric theory of elastoplasticity
  5. Neural network hyperreduction for parameterized computational models in nonlinear stochastic dynamics
  6. A nonlinear micropolar continuum model with diffusion–reaction equation for remodeling of bone with trabecular lattice microarchitecture
  7. A Cauchy–Piola framework for micro-based micromorphic continua
  8. A tractable nonparametric probabilistic approach for modeling and quantifying model-form uncertainty in turbulent CFD
  9. Size effects of rarefied gas flows in nanochannels by simulations based on statistical surrogate model for atomistic collisions
  10. Quantum computer formulation of the FKP-operator eigenvalue problem for probabilistic learning on manifolds
  11. From Discrete to Continuum: A Generalized Euler–Maclaurin Framework for Scale Effects in Nanomechanics
  12. Editorial for ML-UQ Special Issue
  13. Probabilistic Learning on Manifolds for Statistical Surrogate Models in Uncertain Nano-to-Macro Stochastic Systems
  14. A Tractable Nonparametric Probabilistic Approach for Modeling and Quantifying Model-Form Uncertainty in CFD Computations With Turbulence Modeling
  15. High frequency voice signals produced with a one-mass mechanical model
  16. Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
  17. Transient anisotropic kernel for probabilistic learning on manifolds
  18. Statistical Metamodel of Liner Acoustic Impedance Based on Neural Network and Probabilistic Learning for Small Datasets
  19. Stochastic second-gradient continuum theory for particle-based materials: part II
  20. Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model using Probabilistic Learning with Partial Observability and Incomplete dataset
  21. Identifying Second-Gradient Continuum Models in Particle-Based Materials with Pairwise Interactions Using Acoustic Tensor Methodology
  22. Concurrent multiscale simulations of nonlinear random materials using probabilistic learning
  23. Reconstruction of Random Fields Concentrated on an Unknown Curve using Irregularly Sampled Data
  24. A higher-order nonlocal elasticity continuum model for deterministic and stochastic particle-based materials
  25. Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems
  26. Measurements-based constrained control optimization in presence of uncertainties with application to the driver commands for high-speed trains
  27. Probabilistic Learning Inference Constrained by an Uncertain Model and a Target: A General Method with Application to Elasticity Homogenization Without Scale Separation
  28. Continuum Models and Discrete Systems
  29. This paper is an overview on uncertainty quantification and probabilistic learning on manifolds
  30. Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate
  31. Aeroacoustic Liner Impedance Metamodel from Simulation and Experimental Data Using Probabilistic Learning
  32. Sensitivity of a homogeneous and isotropic second‐gradient continuum model for particle‐based materials with respect to uncertainties
  33. Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool
  34. AI in computational mechanics and engineering sciences
  35. Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
  36. Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool
  37. Detuning Optimization of Nonlinear Mistuned Bladed-Disks
  38. Probabilistic learning inference of boundary value problem with uncertainties based on Kullback–Leibler divergence under implicit constraints
  39. Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics
  40. Stochastic elliptic operators defined by non-Gaussian random fields with uncertain spectrum
  41. Probabilistic learning on manifolds (PLoM) with partition
  42. Optimisation of train speed to limit energy consumption
  43. Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure
  44. 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
  45. Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
  46. Robust Three-Dimensional Acoustic Performance Probabilistic Model for Nacelle Liners
  47. A Novel Source-Filter Stochastic Model for Voice Production
  48. Multi-Frequency Model Reduction for Uncertainty Quantification in Computational Vibroacoustics of Automobiles
  49. Machine learning for detecting structural changes from dynamic monitoring using the probabilistic learning on manifolds
  50. Fatigue analysis of a bridge deck using the peaks-over-threshold approach with application to the Millau viaduct
  51. Probabilistic learning and updating of a digital twin for composite material systems
  52. Stochastic computational model of 3D acoustic noise predictions for nacelle liners
  53. Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
  54. Structural uncertainty modeling for nonlinear geometric response using nonintrusive reduced order models
  55. Uncertainty quantification for dynamics of geometrically nonlinear structures coupled with internal acoustic fluids in presence of sloshing and capillarity
  56. Compressed Principal Component Analysis of Non-Gaussian Vectors
  57. Computation of Sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds
  58. IDENTIFICATION OF A STOCHASTIC PROCESS MODELING THE STIFFNESS OF THE VOCAL FOLDS FOR A VOICE PRODUCTION MODEL REPRESENTED BY A NEURAL NETWORK
  59. Non-Gaussian Random Fields in Multiscale Mechanics of Heterogeneous Materials
  60. Novel formulation for the effects of sloshing with capillarity on elastic structures in linear dynamics
  61. Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework
  62. Robust dynamic analysis of detuned-mistuned rotating bladed disks with geometric nonlinearities
  63. Probabilistic analysis of the effect of the combination of traffic and wind actions on a cable-stayed bridge
  64. Feasible Probabilistic Learning Method for Model-Form Uncertainty Quantification in Vibration Analysis
  65. Statistical inverse identification for nonlinear train dynamics using a surrogate model in a Bayesian framework
  66. Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis
  67. Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds
  68. Physics‐constrained non‐Gaussian probabilistic learning on manifolds
  69. Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models
  70. Entropy-based closure for probabilistic learning on manifolds
  71. Nonparametric probabilistic approach for uncertainty quantification of geometrically nonlinear mistuned bladed-disks.
  72. Nonlinear Dynamical Analysis for Coupled Fluid-Structure Systems
  73. Mistuning Analysis of a Detuned Bladed-Disk With Geometrical Nonlinearities
  74. Vibroacoustic Model’s Likelihood Computation Based on a Statistical Reduction of Random FRF Matrices
  75. High-speed train suspension health monitoring using computational dynamics and acceleration measurements
  76. Experimental evaluation and model of a nonlinear absorber for vibration attenuation
  77. Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites
  78. Revisiting the experiment of a free-surface resonance of a liquid in a vibration tank using a nonlinear fluid–structure computational model
  79. Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds
  80. Probabilistic learning on manifolds
  81. Scientific machine learning for model-form uncertainties in nonlinear computational mechanics
  82. Solving generalized eigenvalue problems for large scale fluid-structure computational models with mid-power computers
  83. Stochastic mechanical model of vocal folds for producing jitter and for identifying pathologies through real voices
  84. Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems
  85. Symbolic and numeric scheme for solution of linear integro-differential equations with random parameter uncertainties and Gaussian stochastic process input
  86. Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints
  87. Optimal Well-Placement Using Probabilistic Learning
  88. A Stochastic Projection-Based Hyperreduced Order Model for Model-Form Uncertainties in Vibration Analysis
  89. Nonlinear Geometric Modeling of Uncertain Structures Through Nonintrusive Reduced Order Modeling
  90. Non-Gaussian Random Fields in Multiscale Mechanics of Heterogeneous Materials
  91. Design optimization under uncertainties of a mesoscale implant in biological tissues using a probabilistic learning algorithm
  92. Modeling and Quantification of Model-Form Uncertainties in Eigenvalue Computations Using a Stochastic Reduced Model
  93. Probabilistic nonconvex constrained optimization with fixed number of function evaluations
  94. Computational Vibroacoustics in Low- and Medium- Frequency Bands: Damping, ROM, and UQ Modeling
  95. Optimal Design of the Acoustic Treatments Damping the Noise Radiated by a Turbo-Fan Engine
  96. Nested polynomial trends for the improvement of Gaussian process-based predictors
  97. Polynomial chaos representation of databases on manifolds
  98. Random Matrix Models and Nonparametric Method for Uncertainty Quantification
  99. Elements of Probability Theory
  100. Random Vectors and Random Fields in High Dimension: Parametric Model-Based Representation, Identification from Data, and Inverse Problems
  101. Robust Analysis with Respect to the Uncertainties for Analysis, Updating, Optimization, and Design
  102. Fundamental Notions in Stochastic Modeling of Uncertainties and Their Propagation in Computational Models
  103. Markov Process and Stochastic Differential Equation
  104. Fundamental Tools for Statistical Inverse Problems
  105. Brief Overview of Stochastic Solvers for the Propagation of Uncertainties
  106. Fundamental Probabilistic Tools for Stochastic Modeling of Uncertainties
  107. Uncertainty Quantification in Computational Structural Dynamics and Vibroacoustics
  108. Random Fields and Uncertainty Quantification in Solid Mechanics of Continuum Media
  109. AN IMPROVEMENT OF THE UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL STRUCTURAL DYNAMICS WITH NONLINEAR GEOMETRICAL EFFECTS
  110. MCMC Methods for Generating Realizations and for Estimating the Mathematical Expectation of Nonlinear Mappings of Random Vectors
  111. Voice Signals Produced With Jitter Through a Stochastic One-mass Mechanical Model
  112. Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations
  113. Uncertainty Quantification
  114. Uncertainty Quantification for an Elasto-acoustic Nonlinear Reduced-Order Computational Model.
  115. Bayesian calibration of mechanical parameters of high-speed train suspensions
  116. Identifying a stochastic process related to the stiffness in a voice production mechanical model
  117. Model uncertainties in computational viscoelastic linear structural dynamics
  118. 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
  119. Multilevel model reduction for uncertainty quantification in computational structural dynamics
  120. Experimental multiscale measurements for the mechanical identification of a cortical bone by digital image correlation
  121. Nonlinear Microstructured Material to Reduce Noise and Vibrations at Low Frequencies
  122. Data-driven probability concentration and sampling on manifold
  123. Stochastic prediction of high-speed train dynamics to long-term evolution of track irregularities
  124. A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models
  125. Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures
  126. Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
  127. Jitter generation in voice signals produced by a two-mass stochastic mechanical model
  128. Characterization of the evolution of the train dynamic response under the effect of track irregularities
  129. Maximum entropy modeling of discrete uncertain properties with application to friction
  130. L’œdème cérébral péri-anévrismal : prévalence, facteurs de risque et conséquences cliniques
  131. L’œdème cérébral péri-anévrismal : prévalence, facteurs de risque et conséquences cliniques
  132. Sensitivity of train stochastic dynamics to long-term evolution of track irregularities
  133. Uncertainty Quantification for Nonlinear Reduced-Order Elasto-Dynamics Computational Models
  134. NONPARAMETRIC PROBABILISTIC APPROACH OF MODEL UNCERTAINTIES INTRODUCED BY A PROJECTION-BASED NONLINEAR REDUCED-ORDER MODEL
  135. MULTILEVEL STOCHASTIC REDUCED-ORDER MODEL IN LINEAR STRUCTURAL DYNAMICS FOR COMPLEX STRUCTURES
  136. Multilevel reduced-order computational model in structural dynamics for the low- and medium-frequency ranges
  137. Mistuning analysis and uncertainty quantification of an industrial bladed disk with geometrical nonlinearity
  138. Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
  139. Mathematical modeling of horizontal drillstrings subjected to friction and shocks effects
  140. Quantification of the influence of the track geometry variability on the train dynamics
  141. Uncertainty Quantification for an Industrial Mistuned Bladed Disk With Geometrical Nonlinearities
  142. Robust design optimization with an uncertain model of a nonlinear vibro-impact electro-mechanical system
  143. Introduction
  144. Modeling of transient wave propagation in a heterogeneous solid layer coupled with fluid: Application to long bones
  145. Reduced-Order Computational Model for Low-Frequency Dynamics of Automobiles
  146. Encyclopedia of Applied and Computational Mathematics
  147. Random Matrix Models and Nonparametric Method for Uncertainty Quantification
  148. Random Vectors and Random Fields in High Dimension: Parametric Model-Based Representation, Identification from Data, and Inverse Problems
  149. A STOCHASTIC MECHANICAL MODEL TO GENERATE JITTER IN THE PRODUCTION OF VOICED SOUNDS
  150. UNCERTAINTY QUANTIFICATION IN NONLINEAR STRUCTURAL DYNAMICS FOR MISTUNED BLADED DISKS
  151. REMARKS ON STOCHASTIC PROPERTIES OF MATERIALS THROUGH FINITE DEFORMATIONS
  152. Robust Design in Multibody Dynamics – Application to Vehicle Ride-comfort Optimization
  153. MULTISCALE IDENTIFICATION OF THE RANDOM ELASTICITY FIELD AT MESOSCALE OF A HETEROGENEOUS MICROSTRUCTURE USING MULTISCALE EXPERIMENTAL OBSERVATIONS
  154. Polynomial Chaos Expansion of a Multimodal Random Vector
  155. STATISTICAL INVERSE PROBLEMS FOR NON-GAUSSIAN NON-STATIONARY STOCHASTIC PROCESSES DEFINED BY A SET OF REALIZATIONS
  156. STOCHASTIC REPRESENTATIONS AND STATISTICAL INVERSE IDENTIFICATION FOR UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL MECHANICS
  157. Model identification in computational stochastic dynamics using experimental modal data
  158. Vibration of structures containing compressible liquids with surface tension and sloshing effects. Reduced-order model
  159. Dynamic stability of a pipe conveying fluid with an uncertain computational model
  160. A coupling method for stochastic continuum models at different scales
  161. Clarification about Component Mode Synthesis Methods for Substructures with Physical Flexible Interfaces
  162. Computational Geometrically Nonlinear Vibration Analysis of Uncertain Mistuned Bladed Disks
  163. Variational-Based Reduced-Order Model in Dynamic Substructuring of Coupled Structures Through a Dissipative Physical Interface: Recent Advances
  164. MODELING THE TRACK GEOMETRY VARIABILITY
  165. Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation
  166. Random field representations for stochastic elliptic boundary value problems and statistical inverse problems
  167. Introduction
  168. A coupling method for stochastic continuum models at different scales
  169. Computational nonlinear stochastic dynamics with model uncertainties and nonstationary stochastic excitation
  170. Generation of non-Gaussian tensor-valued random fields using an ISDE-based algorithm
  171. Statistical inverse problems for non-Gaussian vector valued random fields with a set of experimental realizations
  172. Ultrasound Wave Propagation in a Stochastic Cortical Bone Plate
  173. Itô SDE--based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification
  174. Identification of a Mesoscale Model with Multiscale Experimental Observations
  175. DYNAMICAL BEHAVIOR OF TRAINS EXCITED BY A NON-GAUSSIAN VECTOR VALUED RANDOM FIELD
  176. GENERATION OF RESPONSE SPECTRUM COMPATIBLE ACCELEROGRAMS USING THE MAXIMUM ENTROPY PRINCIPLE
  177. A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations
  178. STABILITY AND RESPONSE ANALYSIS OF A PIPE WITH INTERNAL FLOW ANALYZED WITH AN UNCERTAIN COMPUTATIONAL MODEL
  179. Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases
  180. Generation of accelerograms compatible with design specifications using information theory
  181. Uncertainty quantification of voice signal production mechanical model and experimental updating
  182. Track irregularities stochastic modeling
  183. Bayesian posteriors of uncertainty quantification in computational structural dynamics for low-and medium-frequency ranges
  184. Reduced-order computational model in nonlinear structural dynamics for structures having numerous local elastic modes in the low-frequency range. Application to fuel assemblies
  185. Stochastic reduced order computational model of structures having numerous local elastic modes in low frequency dynamics
  186. Stochastic multiscale modelling of elastic properties of bone ultrastructure
  187. Nonparametric Stochastic Modeling of Structures with Uncertain Boundary Conditions/Coupling Between Substructures
  188. Karhunen–Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.
  189. Stochastic modeling of uncertainties in computational structural dynamics—Recent theoretical advances
  190. Non-Concurrent Computational Homogenization of Nonlinear, Stochastic and Viscoelastic Materials
  191. Uncertainty quantification in computational stochastic multiscale analysis of nonlinear elastic materials
  192. Robustness analysis of an uncertain computational model to predict well integrity for geologic CO2 sequestration
  193. Prior Representations of Random Fields for Stochastic Multiscale Modeling
  194. Random Dynamical Response of a Multibody System with Uncertain Rigid Bodies
  195. UNCERTAINTY QUANTIFICATION IN LOW-FREQUENCY DYNAMICS OF COMPLEX BEAM-LIKE STRUCTURES HAVING A HIGH-MODAL DENSITY
  196. Calculation of Lagrange Multipliers in the Construction of Maximum Entropy Distributions in High Stochastic Dimension
  197. Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems
  198. Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media
  199. Computational strategy for the crash design analysis using an uncertain computational mechanical model
  200. Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation
  201. Stochastic modeling and identification of an uncertain computational dynamical model with random fields properties and model uncertainties
  202. Stochastic Models of Uncertainties in Computational Mechanics
  203. Computational Nonlinear Thermomechanical Model of Large Light Partition Walls Based on Experimental Analysis and Probabilistic Models
  204. Robust Analysis of Design in Vibration of Turbomachines
  205. Memorium
  206. Probabilistic model of the human cortical bone with mechanical alterations in ultrasonic range
  207. Special Issue on Computational Intelligence in Structural Engineering and Mechanics
  208. On the Statistical Dependence for the Components of Random Elasticity Tensors Exhibiting Material Symmetry Properties
  209. Uncertainty Quantification in Computational Nonlinear Elasticity
  210. USING BAYESIAN METHOD FOR UPDATING THE PROBABILITY DENSITY FUNCTION RELATED TO THE TENSION PARAMETER IN A VOICE PRODUCTION MODEL
  211. Advanced Computational Dissipative Structural Acoustics and Fluid-Structure Interaction in Low-and Medium-Frequency Domains. Reduced-Order Models and Uncertainty Quantification
  212. Computational nonlinear stochastic homogenization using a nonconcurrent multiscale approach for hyperelastic heterogeneous microstructures analysis
  213. Probabilistic modeling of apparent tensors in elastostatics: A MaxEnt approach under material symmetry and stochastic boundedness constraints
  214. Nondeterministic Mechanics
  215. Stochastic Models of Uncertainties in Computational Structural Dynamics and Structural Acoustics
  216. Stochastic modeling of anisotropy in multiscale analysis of heterogeneous materials: A comprehensive overview on random matrix approaches
  217. Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations
  218. Generalized stochastic approach for constitutive equation in linear elasticity: a random matrix model
  219. Rigid multibody system dynamics with uncertain rigid bodies
  220. A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension
  221. Stochastic representation for anisotropic permeability tensor random fields
  222. Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity
  223. Experimental identification of an uncertain computational dynamical model representing a family of structures
  224. Non-Gaussian positive-definite matrix-valued random fields with constrained eigenvalues: Application to random elasticity tensors with uncertain material symmetries
  225. Equivalent contributing depth investigated by a lateral wave with axial transmission in viscoelastic cortical bone
  226. A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures
  227. Structural partitioning of complex structures in the medium-frequency range. An application to an automotive vehicle
  228. A Stochastic Model for Elasticity Tensors Exhibiting Uncertainties on Material Symmetries
  229. On the determination of the power spectrum of randomly excited oscillators via stochastic averaging: An alternative perspective
  230. Stochastic Reduced-Order Model in Low-Frequency Dynamics in Presence of Numerous Local Elastic Modes
  231. Probabilistic Model of Human Cortical Bones with Uncertain Mechanical Properties for Modeling Random Experimental Measurements in Ultrasonic Range
  232. Stochastic Reduced Order Models for Uncertain Infinite-Dimensional Geometrically Nonlinear Dynamical Systems- Stochastic Excitation Cases
  233. A stochastic model for elasticity tensors with uncertain material symmetries
  234. Probabilistic model identification of the bit–rock-interaction-model uncertainties in nonlinear dynamics of a drill-string
  235. Computational Model for Long-Range Non-Linear Propagation over Urban Cities
  236. Stochastic dynamics of a drill-string with uncertain weight-on-hook
  237. Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data
  238. Prior and posterior probabilistic models of uncertainties in a model for producing voice
  239. Some aspects of probabilistic modeling, identification and propagation of uncertainties in computational mechanics
  240. Sound-Insulation Layer Modelling in Car Computational Vibroacoustics in the Medium-Frequency Range
  241. Identification of Bayesian posteriors for coefficients of chaos expansions
  242. Influence of viscoelastic and viscous absorption on ultrasonic wave propagation in cortical bone: Application to axial transmission
  243. Information Theory for Generation of Accelerograms Associated with Shock Response Spectra
  244. Erratum to: Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model
  245. Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model
  246. A Reduced-Order Model of Detuned Cyclic Dynamical Systems With Geometric Modifications Using a Basis of Cyclic Modes
  247. Computational Aspects for Constructing Realizations of Polynomial Chaos in High Dimension
  248. Mesoscale probabilistic models for the elasticity tensor of fiber reinforced composites: Experimental identification and numerical aspects
  249. Nonparametric probabilistic approach of uncertainties for elliptic boundary value problem
  250. Experimental identification of turbulent fluid forces applied to fuel assemblies using an uncertain model and fretting-wear estimation
  251. Non-linear dynamics of a drill-string with uncertain model of the bit–rock interaction
  252. Time-domain model of the ultrasonic wave propagation in an inhomogeneous anisotropic viscoelastic fluid/solid multilayer medium: application to cortical bone
  253. Nonlinear parabolic equation model for finite-amplitude sound propagation over porous ground layers
  254. Probabilistic model and experimental identification of screw-attachment in plasterboard
  255. Influence of a gradient of material properties on ultrasonic wave propagation in cortical bone: Application to axial transmission
  256. Energy-density field approach for low- and medium-frequency vibroacoustic analysis of complex structures using a statistical computational model
  257. Sound-Insulation Layers Low-Frequency Modeling, Using the Fuzzy Structure Theory
  258. Energy Density Field Approach for Low- and Medium-Frequency Vibroacoustic Analysis of a Car Body Using a Probabilistic Computational Model
  259. Reduced Chaos decomposition with random coefficients of vector-valued random variables and random fields
  260. Determination of the random anisotropic elasticity layer using transient wave propagation in a fluid-solid multilayer: Model and experiments
  261. Computational stochastic heat transfer with model uncertainties in a plasterboard submitted to fire load and experimental validation
  262. Robust Analysis of Design in Vibration of Turbomachines
  263. Advanced Computational Vibroacoustics
  264. Response of Bladed Disks With Mistuned Blade-Disk Interfaces
  265. Generalized probabilistic approach of uncertainties in computational dynamics using random matrices and polynomial chaos decompositions
  266. Fuzzy structure theory modeling of sound-insulation layers in complex vibroacoustic uncertain systems: Theory and experimental validation
  267. Influence of viscoelasticity on the ultrasonic wave propagation in cortical bone: Application to the axial transmission technique.
  268. Uncertainties in Drill Dynamics: The Role of a Random Weight-on-Hook
  269. Computational elastoacoustics of uncertain complex systems and experimental validation
  270. Construction of probability distributions in high dimension using the maximum entropy principle: Applications to stochastic processes, random fields and random matrices
  271. Reliability analysis of a satellite structure with a parametric and a non-parametric probabilistic model
  272. Inverse problems in stochastic computational dynamics
  273. Experimental identification of stochastic processes using an uncertain computational non-linear dynamical model
  274. Robust Updating of Uncertain Computational Models Using Experimental Modal Analysis
  275. Robust updating of uncertain damping models in structural dynamics for low- and medium-frequency ranges
  276. Stochastic inverse problem for the experimental identification in the ultrasonic range of a mechanical model for cortical bones
  277. Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation
  278. Parametric and nonparametric models of the impedance matrix of a random medium
  279. Modeling random uncertainties in voice production using a parametric approach
  280. Probabilistic Uncertainty Modeling for Thermomechanical Analysis of Plasterboard Submitted to Fire Load
  281. Theoretical framework and experimental procedure for modelling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites
  282. Structural-acoustic modeling of automotive vehicles in presence of uncertainties and experimental identification and validation
  283. Identification of stochastic loads applied to a non-linear dynamical system using an uncertain computational model and experimental responses
  284. Stochastic reduced order models for uncertain geometrically nonlinear dynamical systems
  285. Probabilistic modeling of a nonlinear dynamical system used for producing voice
  286. Nonlinear parabolic equation model for finite‐amplitude sound propagation in an inhomogeneous medium over a nonflat, finite‐impedance ground surface
  287. Finite element modelling of transient elastic wave propagation in an inhomogeneous anisotropic fluid/solid multilayer medium: A time‐domain method
  288. Stochastic modeling of the vibro‐acoustic behavior of production cars
  289. Nonparametric Stochastic Modeling of Structures with Uncertain Boundary Conditions and Uncertain Coupling Between Substructures
  290. Tensor-valued random fields for meso-scale stochastic model of anisotropic elastic microstructure and probabilistic analysis of representative volume element size
  291. Nonparametric stochastic modeling of linear systems with prescribed variance of several natural frequencies
  292. A time-domain method to solve transient elastic wave propagation in a multilayer medium with a hybrid spectral-finite element space approximation
  293. Probabilistic impedance of foundation: Impact of the seismic design on uncertain soils
  294. Robust Design Optimization in Computational Mechanics
  295. Design Optimization With an Uncertain Vibroacoustic Model
  296. Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model
  297. On measures of nonlinearity effects for uncertain dynamical systems—Application to a vibro-impact system
  298. Nonparametric Stochastic Modeling Of Structural Dynamic and Aeroelastic Systems: Formulation and Novel Extensions
  299. Construction of a probabilistic model for impedance matrices
  300. Remarks on the efficiency of POD for model reduction in non-linear dynamics of continuous elastic systems
  301. MODELING WITH UNCERTAIN PARAMETERS: APPLICATION TO THE ULTRASONIC ASSESSMENT OF BONE QUALITY
  302. Thermo-Mechanical Modeling of Plasterboard Lined Partition Submitted to Fire Load
  303. Data and model uncertainties in complex aerospace engineering systems
  304. Probabilistic approach for model and data uncertainties and its experimental identification in structural dynamics: Case of composite sandwich panels
  305. Identification of Chaos Representations of Elastic Properties of Random Media Using Experimental Vibration Tests
  306. Transient dynamics in structures with non-homogeneous uncertainties induced by complex joints
  307. Probabilistic nonparametric model of impedance matrices. Application to the seismic design of a structure
  308. Maximum likelihood estimation of stochastic chaos representations from experimental data
  309. Elastoacoustic model with uncertain mechanical properties for ultrasonic wave velocity prediction: Application to cortical bone evaluation
  310. Numerical simulation of the axial transmission technique for bone evaluation: a probabilistic approach
  311. Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators
  312. A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics
  313. Modélisation probabiliste d'une expérience ultrasonore : calcul de la dispersion sur les mesures de célérité
  314. Nonparametric Modeling of the Variability of Vehicle Vibroacoustic Behavior
  315. Probabilistic model for random uncertainties in steady state rolling contact
  316. Random matrix theory for modeling uncertainties in computational mechanics
  317. Polynomial chaos representation of a stochastic preconditioner
  318. Blade Manufacturing Tolerances Definition for a Mistuned Industrial Bladed Disk
  319. Random-field model for the elasticity tensor of anisotropic random media
  320. Equivalent acoustic impedance model. Part 2: analytical approximation
  321. Equivalent acoustic impedance model. Part 1: experiments and semi-physical model
  322. Non-linear viscoelastodynamic equations of three-dimensional rotating structures in finite displacement and finite element discretization
  323. EURODYN ?05
  324. Non-parametric–parametric model for random uncertainties in non-linear structural dynamics: application to earthquake engineering
  325. Experimental validation of a nonparametric probabilistic model of nonhomogeneous uncertainties for dynamical systems
  326. Blade Manufacturing Tolerances Definition for a Mistuned Industrial Bladed Disk
  327. Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
  328. Nonparametric Modeling of Random Uncertainties for Dynamic Response of Mistuned Bladed Disks
  329. Uncertain Dynamical Systems in the Medium-Frequency Range
  330. Dynamic Substructuring in the Medium-Frequency Range
  331. Random matrix theory and non-parametric model of random uncertainties in vibration analysis
  332. Random Uncertainties Model in Dynamic Substructuring Using a Nonparametric Probabilistic Model
  333. Specifying Manufacturing Tolerances for a Given Amplification Factor: A Nonparametric Probabilistic Methodology
  334. Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms
  335. Analyse vibratoire par sous-structuration avec modèle non paramétrique d'incertitudes aléatoires non homogènes
  336. Transient responses of dynamical systems with random uncertainties
  337. Structural Acoustics and Vibration
  338. Random matrix theory for modeling random uncertainties in transient elastodynamics
  339. Maximum entropy approach for modeling random uncertainties in transient elastodynamics
  340. Modélisation des incertitudes aléatoires en élastodynamique transitoire
  341. A nonparametric model of random uncertainties for reduced matrix models in structural dynamics
  342. Structural shape parametric optimization for an internal structural-acoustic problem
  343. Estimation of fuzzy structure parameters for continuous junctions
  344. Reduced models for structures in the medium-frequency range coupled with internal acoustic cavities
  345. Main difficulties in the midfrequency range and reduced matrix models for structural‐acoustic problems
  346. Méthodes numériques avancées en vibroacoustique basses et moyennes fréquences
  347. Reduced models in the medium frequency range for general dissipative structural-dynamics systems
  348. Reduced models in the medium-frequency range for general external structural-acoustic systems
  349. Trends in modeling of structural‐acoustics systems with structural complexity in low‐ and medium‐frequency ranges
  350. Fuzzy Structure Theory
  351. Preface
  352. Linear Acoustic Equations
  353. Reduced Model in the MF Range
  354. Structural-Acoustic Master System in the LF Range
  355. Response to Deterministic and Random Excitations
  356. Structural-Acoustic Master System in the MF Range
  357. Dissipative Constitutive Equation for the Master Structure
  358. Master Structure Frequency Response Function
  359. Basic Notions on Variational Formulations
  360. A Strategy for Structural-Acoustic Problems
  361. Linearized Vibrations of Conservative Structures and Structural Modes
  362. Internal Acoustic Fluid Formulation for the LF and MF Ranges
  363. Calculation of the Master Structure Frequency Response Function in the LF Range
  364. External Acoustic Fluid. Boundary Integral Formulation for the LF and MF Ranges
  365. Calculation of the Master Structure Frequency Response Function in the MF Range
  366. Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure
  367. Structural Acoustics and Vibration
  368. Dynamic Substructuring of Damped Structures Using Singular Value Decomposition
  369. MODAL IDENTIFICATION OF WEAKLY NON-LINEAR MULTIDIMENSIONAL DYNAMICAL SYSTEMS USING A STOCHASTIC LINEARISATION METHOD WITH RANDOM COEFFICIENTS
  370. Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure
  371. Low‐frequency/medium‐frequency analysis of a master structure coupled with fuzzy substructures
  372. Vibration damping in low-frequency range due to structural complexity. A model based on the theory of fuzzy structures and model parameters estimation
  373. Parameter estimation for fuzzy structures. A result concerning vibrations in the low‐frequency range
  374. Coupling between an undamped linear acoustic fluid and a damped nonlinear structure—Statistical energy analysis considerations
  375. Stochastic linearization method with random parameters for SDOF nonlinear dynamical systems: prediction and identification procedures
  376. Stationary Response Of Multi-dimensional Second Order Dynamical Systems With Inertial Non-linearity Subjected To Wide-band Random External Excitations
  377. A mathematical formulation for modeling the type I fuzzy parameters for a continuous line fuzzy attachment
  378. The Fokker-Planck Equation for Stochastic Dynamical Systems and Its Explicit Steady State Solutions
  379. A model and numerical method in the medium frequency range for vibroacoustic predictions using the theory of structural fuzzy
  380. Hybrid numerical method for harmonic 3-D Maxwell equations: scattering by a mixed conducting and inhomogeneous anisotropic dielectric medium
  381. Modeling and numerical method in the medium frequency range for vibroacoustic predictions using theory of structural fuzzy
  382. Hybrid numerical method for the 3D harmonic Maxwell equations in the multi-metallic and multi-dielectric bodies cases
  383. Exact stationary response of multi-dimensional non-linear Hamiltonian dynamical systems under parametric and external stochastic excitations
  384. Steady-state solution of Fokker-Planck equation in higher dimension
  385. Mathematics of random phenomena: Random vibrations of mechanical structures
  386. Mathematics of Random Phenomena
  387. Generalized Stochastic Processes
  388. Statistics on Sample Paths
  389. Mathematical Prerequisites
  390. Stochastic Differential Equations
  391. Principles of Probability Theory
  392. Linear Oscillators Subjected to Squared Gaussian Processes
  393. Stochastic Processes and Random Fields
  394. Dynamic Response of Structures Subjected to Wind Loads
  395. Measures on Vector Spaces and Stochastic Modelling
  396. Probabilistic Models of Sea Wave and Applications
  397. Random Oscillations with Intermittent Constraints
  398. Linear Filtering and Spectral Analysis
  399. Markov Realization of Gaussian Processes
  400. Mechanical Fatigue under Random Loading
  401. Probabilistic Approach to the Effects of Earthquakes on Structures
  402. Linear dynamic analysis of mechanical systems in the medium frequency range
  403. The Local Effects in the Linear Dynamic Analysis of Structures in the Medium Frequency Range
  404. Hydroelasticity and the field radiated by a slender elastic body into an unbounded fluid
  405. Méchanique Aléatoire by Paul Krée and Christian Soize
  406. Mécanique Aléatoire, P. Krée and C. Soize, Dunod, Paris, 1983
  407. Oscillators submitted to squared Gaussian processes
  408. ECCS-RECOMMENDATIONS FOR THE CALCULATION OF WIND EFFECTS ON BUILDINGS AND STRUCTURES
  409. Gust Loading Factors with Nonlinear Pressure Terms
  410. References
  411. Glossary
  412. Structure Equations
  413. Vibroacoustic Boundary Value Problem
  414. Definition of the Vibroacoustic System
  415. External Inviscid Acoustic Fluid Equations
  416. Internal Dissipative Acoustic Fluid Equations
  417. Computational Vibroacoustic Model
  418. Reduced-Order Computational Model
  419. Uncertainty Quantification in Computational Vibroacoustics
  420. Random Matrices in Structural Acoustics
  421. Symmetric BEM without Spurious Frequencies for the External Acoustic Fluid
  422. Principal Objectives and a Strategy for Modeling Vibroacoustic Systems
  423. 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
  424. Stochastic Modelling of Track Irregularities
  425. Numerical methods and mathematical aspects for simulation of homogeneous and non homogeneous gaussian vector fields
  426. Long Time Evolution of Train Dynamics with Respect to Track Irregularities