Construction of 3-D realistic representative volume element failure prediction model of high density rigid polyurethane foam treated under complex thermal-vibration conditions

He, Yannan; Wu, Jiacheng; Qiu, Dacheng; Yu, Zhiqiang

doi:10.1016/j.ijmecsci.2020.106164

Cited by 10 publications

(6 citation statements)

References 47 publications

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“…By assumption, the first term is bounded below by m||x−v|| 2 2 . Additionally φ(x) − φ(v) ≤ k x − v by assumption, so…”

Section: Conversely Given Xmentioning

confidence: 97%

“…Recall that φ strongly monotone means that there exists m > 0 so that for all x, v, (x−v) T (φ(x)−φ(v)) ≥ m||x−v|| 2 2 . Let η = R−1 − I.…”

Section: Conversely Given Xmentioning

confidence: 99%

“…For example, high resolution images are needed to extract detailed features, such as the 4 nanometer curli fibers structures in E. coli, which are fundamental in the formation of bacterial biofilms, or the 10-20 nm structures in gold nanorods materials, which are of interest due to their near-infrared light tunability and biological inertness [1]. Also, a large FoV is typically required to collect the representative volumes (RV) of materials that are needed to determine macroscopic properties such as material toughness and fracture strength [2].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Resolution Data Fusion for Super Resolution Imaging

Reid¹,

Drummy²,

Bouman³

et al. 2021

Preprint

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Applications in materials and biological imaging are limited by the ability to collect high-resolution data over large areas in practical amounts of time. One possible solution to this problem is to collect low-resolution data and interpolate to produce a high-resolution image. However, state-of-the-art super-resolution algorithms are typically designed for natural images, require aligned pairing of high and low-resolution training data for optimal performance, and do not directly incorporate a model of the imaging sensor.In this paper, we present a Multi-Resolution Data Fusion (MDF) algorithm for accurate interpolation of low-resolution SEM and TEM data by factors of 4x and 8x. This MDF interpolation algorithm uses small quantities of unpaired highresolution data to learn an accurate prior model denoiser and balances this with a forward model agent based on a mismatched back-projector that maintains fidelity to measured data. Our method is based on Multi-Agent Consensus Equilibrium, a generalization of the Plug-and-Play method, and allows for interpolation at arbitrary resolutions without retraining. We present electron microscopy results at 4x and 8x interpolation factors that exhibit reduced artifacts relative to existing methods while maintaining fidelity to acquired data and accurately resolving sub-pixel-scale features.

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“…By assumption, the first term is bounded below by m||x−v|| 2 2 . Additionally φ(x) − φ(v) ≤ k x − v by assumption, so…”

Section: Conversely Given Xmentioning

confidence: 97%

“…Recall that φ strongly monotone means that there exists m > 0 so that for all x, v, (x−v) T (φ(x)−φ(v)) ≥ m||x−v|| 2 2 . Let η = R−1 − I.…”

Section: Conversely Given Xmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Resolution Data Fusion for Super Resolution Imaging

Reid¹,

Drummy²,

Bouman³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…[1][2][3][4] Such a use is warranted for a low-cost manufacturing process and a range of relevant mechanical and thermal properties. [5][6][7][8] These unique characteristics are resulting from the complex cellular microstructure of the foams, which consists of cellular ribs. 9,10 For several years, great effort has been devoted to the study of the mechanical behavior of foams.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the response of high-velocity impact tests on PUFs with different densities and thicknesses were given by Taherkhani et al 16 They found out that when the foam thickness was raised, the absorbed energy and the damage area would build up. He et al 5 developed a micro-macro model to predict the mechanical coupled-to-damage behavior of a PUF under complex thermal vibration conditions. They used a scanning electron microscope observation in order to establish the failure prediction model via a realistic representative volume element.…”

Section: Introductionmentioning

confidence: 99%

Effect of strain rate and load orientation on cyclic response of anisotropic polyurethane foam

2022

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Anisotropic cellular materials, such as polymeric foams, play an important role in structures subjected to cyclic loadings. The present paper provides an experimental investigation of the mechanical behavior of an anisotropic polyurethane foam subjected to cyclic compressive loadings under two perpendicular orientations: the rising and perpendicular directions. The foam samples are loaded under three different strain rates and various deformations. The experimental results are presented in terms of elasticity modulus, maximal compressive stress, effective energy absorption capacity, and residual strain. It is proved that the investigated polyurethane foam presents a macroscopic mechanical anisotropy caused by microscopic cell elongation in the foaming direction. Moreover, it is demonstrated that the mechanical behavior of the foam is fully influenced by both deformation rates and imposed strains. The experimental stress–strain curves are modelized using an empirical model considering an adjustable modulus of elasticity. The analytical results show a good agreement with the experiments.

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Multiscale investigation on molecular structure and mechanical properties of thermal‐treated rigid polyurethane foam under high temperature

Qiu

2021

J of Applied Polymer Sci

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In order to study the relationship between the molecular structure and mechanical properties of rigid polyurethane foam (RPUF) during the mechanical and chemical failure process, the variation of the molecular structure and mechanical properties of RPUF treated in temperature range of 323–473 K were characterized by both theoretical and experimental methods. The molecular structure stability of RPUF varied with thermal treatment temperature was characterized by density functional theory method. The mechanical properties of base material of RPUF were simulated by means of molecular dynamics (MD) simulation. Then the related parameters obtained from the MD simulation were assigned into a representative volume element model of RPUF for the finite element analysis. The results indicated that the vibrational frequencies of isocyanate groups and amino acid ester groups in RPUF molecule increased while the molecular orbital energy gap of RPUF decreased with the increase of treatment temperature. It indicated that the RPUF molecule had high chemical reactivity at high temperature. The results of the multiscale simulation of mechanical properties showed that the defects and voids in RPUF generated under high temperature would grow with the increase of thermal treatment temperature, which intensified the stress concentration in RPUF and decreased the tensile properties of RPUF.

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Construction of 3-D realistic representative volume element failure prediction model of high density rigid polyurethane foam treated under complex thermal-vibration conditions

Cited by 10 publications

References 47 publications

Multi-Resolution Data Fusion for Super Resolution Imaging

Multi-Resolution Data Fusion for Super Resolution Imaging

Effect of strain rate and load orientation on cyclic response of anisotropic polyurethane foam

Multiscale investigation on molecular structure and mechanical properties of thermal‐treated rigid polyurethane foam under high temperature

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