Probabilistic simulation of multi-scale composite behavior

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Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC], [Springfield, Va .

Written in English

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  • Composite materials.

Edition Notes

Book details

StatementD.G. Liaw ... [et al.].
SeriesNASA technical memorandum -- 106196., NASA technical memorandum -- 106196.
ContributionsLiaw, D.G., United States. National Aeronautics and Space Administration.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL17751589M

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Probabilistic Simulation of Multi-Scale Composite Behavior [Christos C. Chamis, Nasa Technical Reports Server (Ntrs)] on *FREE* shipping on qualifying offers. A methodology is developed to computationally assess the non-deterministic composite response at all composite scales (from micro to structural) due to the uncertainties in the constituent (fiber and matrix) propertiesCited by: 3.

Probabilistic integrated composite analyzer, PICAN. PICAN is a computer code for the probabilistic simulation of composite behavior (material properties). It integrates two NASA in-house computer programs: integrated composite analyzer, ICAN and fast probability integrator, FPI.

ICAN was developed based upon composite mechanics to simulate the composite material behavior at all composite scales Cited by: behavior and structures.

Simulation of probabilistic multi-scaling for composite laminate behavior (laminate scale) is described first, followed by probabilistic multi-scaling of laminate thermomechanical fatigue (loading scale) and then probabilistic multi-scaling of composite structural design (structural scale).

Non-Deterministic/Probabilistic Simulation of Composite Response Composite materials File Size: 3MB. Probabilistic Simulation of Multi-Scale Composite Behavior by Christos C Chamis,available at Book Depository with free delivery worldwide.

Probabilistic Simulation of Multi-Scale Composite Behavior: Christos C Chamis: Available experimental data of composite laminate behavior at all scales fall within the scatters predicted by PICAN. Multi-scaling is extended to simulate probabilistic thermo-mechanical fatigue and to simulate the probabilistic design of a composite redome in order to illustrate its by: The methodology is computationally efficient for simulating the probability distributions of composite behavior, such as material properties, laminate and structural responses.

Probabilistic simulation of multi-scale composite behavior A methodology is developed to computationally assess the probabilistic composite behavior at all composite scales (from micro to structural) due to the uncertainties in the constituent (fiber and matrix) properties, in the fabrication process and in structural variables (primitive variables).

Probabilistic simulation of multi-scale composite behavior. A methodology is developed to computationally assess the probabilistic composite material properties at all composite scale levels due to the uncertainties in the constituent (fiber and matrix).

Available experimental data of composite laminate behavior at all scales fall within the scatters predicted by PICAN. Multi-scaling is extended to simulate probabilistic thermo-mechanical fatigue and to simulate the probabilistic design of a composite redome in order to illustrate its : Christos C.

Chamis. Probabilistic simulation of multi-scale composite behavior. The sensitivity of the probabilistic composite material property to each random variable is determined. This information can be used to reduce undesirable uncertainties in material properties at the macro scale of the composite by reducing the uncertainties in the most influential.

The computational simulation was performed for the probabilistic assessment of the structural behavior including global displacements and local stresses.

The scatter in the structural response is simulated based on the inherent uncertainties in the primitive (independent random) variables at the fiber/matrix constituent, ply, Cited by: 3.

Account for random microstructure in multiscale models / Vadim V. Silberschmidt -- Multiscale modeling of tensile failure in fiber-reinforced composites / Zhenhai Xia, W.A. Curtain -- Adaptive concurrent multi-level model for multiscale analysis of composite materials including damage / Somnath Ghosh -- Multiscale and multilevel modeling of composites / Young W.

Kwon -- A micromechanics-based. Probabilistic Simulation of Multi-Scale Composite Behavior Christos Chamis 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference June Get this from a library.

Probabilistic simulation of multi-scale composite behavior. [D G Liaw; United States. National Aeronautics and Space Administration.;]. Multiscale Modeling and Simulation of Composite Materials and Structures. Researchers are interested in the development of modeling methods applied to predicting the atomistic, microscopic and macroscopic response of composite materials under stress and hostile s: 1.

Purchase Multi-Scale Modelling of Composite Material Systems - 1st Edition. Print Book & E-Book. ISBNMaterials can be viewed as either an aggregate of discrete constituents or as a homogeneous continuum.

While the former viewpoint is used primarily in the materials science domain, the latter is often used for practical applications. To goal of this work is to combine these two viewpoints using a probabilistic Cited by: 1.

This is where multiscale modeling comes in. By considering simultaneously models at different scales, we hope to arrive at an approach that shares the efficiency of the macro-scopic models as well as the accuracy of the microscopic models.

This idea is far from being new. After all, there has been considerable efforts in trying to understand. PROBABILISTIC COMPUTATIONAL SIMULATION The probabilistic simulation (Reference 2) cycle of a multilayer composite structure (multi- scale) is graphically illustrated in Figure 5.

The deterministic equations to perform the simulation depicted in Figure 5 are summarized in Figure : Christos C. Chamis. Composite materials play a vital role in modern engineering, from aerospace to nuclear devices.

Computational mechanics endeavors to provide precise numerical models of composites. More recently, it has been necessary to take account of the stochastic nature of their behavior indicated by experiment. This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear journal aims to maintain a healthy balance between general solution techniques and problem-specific.

Analysis of Microscopic Behavior Models for Probabilistic Modeling of Driver Behavior Tim A. Wheeler 1, Philipp Robbel2, and Mykel J. Kochenderfer Abstract—The accurate simulation and prediction of human behavior is critical in many transportation applications, includ-ing safety and energy management systems.

Construction of. “Probabilistic simulation ofmulti-scale composite behavior.” Theoretical and Ap-plied Fracture Mechanics, 41(1–3), 51–Charmpis, D.

C., Schuëller, G. I., and Pellissetti, M. F.(). “The need for linking micromechanics of ma-terials with stochastic finite elements: A challenge formaterials science.”. This book contains methodology for the analysis of data that arise from such multiscale processes.

The book brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of Cited by: Modelling Damage, Fatigue and Failure of Composite Materials.

provides the latest research on the field of composite materials, an area that has attracted a wealth of research, with significant interest in the areas of damage, fatigue, and failure. The book is a comprehensive source of physics-based models for the analysis of progressive and critical failure phenomena in composite materials.

Stochastic Finite Element Buckling Analysis of Laminated Plates With Circular Cutout Under Uniaxial Compression A. Onkar, A. Onkar. Probabilistic Simulation of Multi-Scale Composite Behavior,” Theor. Appl. Fract. Mech. 41 (1–3Cited by: Book Description. The EURO-C conference series (SplitZell am SeeInnsbruckBadgasteinSt.

Johann im PongauMayrhofenSchladmingSt. Anton am Arlbergand Bad Hofgastein ) brings together researchers and practising engineers concerned with theoretical, algorithmic and validation aspects associated with computational simulations of concrete.

The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms.

Special issue on Multiscale Continuous Modelling of Composite and Biological Materials. A Continuum-Discrete Multiscale Model for In-Plane Mechanical Modeling of Masonry Panels Luca Salvatori and Paolo Spinelli A Multiscale Approximation Method to Describe Diatomic Crystalline Systems: Constitutive Equations Pasquale Giovine.

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Materials, an international, peer-reviewed Open Access journal. Dear Colleagues, The widespread application of advanced fiber reinforcements and associated composite processing technologies has been partly driven by the ease of formability, from two-dimensional planar shapes to complex three-dimensional parts, along with a combination of light weight and superior mechanical properties.

In the present study, the overall stability of typical Korean composite caisson breakwaters that were initially designed following the conventional deterministic approach is investigated using reliability approaches.

Therefore, the sensitivity of critical uncertainties regarding breakwater safety is analyzed. Uncertainty sources related to the structure, ocean conditions, and properties of the Author: Nhu Son Doan, Jungwon Huh, Van Ha Mac, Dongwook Kim, Kiseok Kwak.

These include micromechanical models for predicting ductile damage in metals, models to depict the behavior of metals and plastics both at high deformation speeds and under creep stress, and brittle fracture models for high-strength steels, cast materials, ceramics, glass, silicon and composite.

Free Online Library: Modeling of constitutive behaviour of anisotropic composite material using multiscale approach.(Report) by "Mechanika"; Engineering and manufacturing Anisotropy Analysis Models Usage Composite materials Mechanical properties Elasticity Elasticity (Mechanics).

The paper gives a comprehensive review of fatigue simulation of fiber-reinforced composite, based on the authors' experience in this field for different types of composites like random fiber reinforced to textile reinforcements, from detailed micro-structure analysis to efficient multi-scale algorithms, and from structural applications to Cited by: 7.

Type curves are generated to analyze the pressure-transient behavior. The second radial-flow (SRF) occurs for the MSHWs, and the duration of SRF depends on interference between segments.

The pressure-derivative curve during SRF equals to /N p (N p denotes the number of mainly producing segments (PS)) under weak interference between by: A probabilistic numerical model for fracture of unidirectional composite materials is developed.

The algorithm for numerical simulation of the model takes into account the random distribution of carbon fibers, the spread of mechanical properties and the fracture of the structural elements of the : N V Eremin, V V Moskvichev.

A probabilistic model for estimating the fatigue life of laminated composite materials considering the uncertainty in their mechanical properties is developed.

The uncertainty in the material properties is determined from fatigue coupon : Oscar Castro, Kim Branner, Nikolay Krasimirov Dimitrov. The present work aims at integrating material characterization and computational modeling for the evaluation of variability in the elastodynamic response of random polycrystals.

First, a procedure is presented for simulation of random 2D polycrystalline microstructures from limited experimental : Arash Noshadravan, Roger Ghanem, Pedro Peralta.

Multi-scale materials modeling combines existing and emerging methods from diverse scientific disciplines to bridge the wide range of time and length scales that are inherent in a number of essential phenomena and processes in materials science and engineering.

A comparative study of failure criteria in probabilistic fields and stochastic failure envelopes of composite materials Reliability Engineering & System Safety, Vol.

56, No. 3 Reliability of high performance fibre compositesCited by: This book explores the probabilistic approach to cognitive science, which models learning and reasoning as inference in complex probabilistic models. We examine how a broad range of empirical phenomena, including intuitive physics, concept learning, causal reasoning, social cognition, and language understanding, can be modeled [email protected]{osti_, title = {An overview of computational simulation methods for composite structures failure and life analysis}, author = {Chamis, C C}, abstractNote = {Three parallel computational simulation methods are being developed at the LeRC Structural Mechanics Branch (SMB) for composite structures failure and life analysis: progressive fracture CODSTRAN; hierarchical methods .

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