Data Pruning of Tomographic Data for the Calibration of Strain Localization Models

Mapping Intimacies ◽

10.20944/preprints201811.0309.v1 ◽

2018 ◽

Author(s):

William Hilth ◽

David Ryckelynck ◽

Claire Menet

Keyword(s):

Model Updating ◽

Element Model ◽

Sampled Data ◽

Model Free ◽

Reduction Techniques ◽

Long Term Storage ◽

X Ray Computed ◽

Tomographic Data ◽

Data Pruning

The development and generalization of Digital Volume Correlation (DVC) on X-ray computed tomography data highlight the issue of long term storage. The present paper proposes a new model-free method for pruning the DVC data. The size of the remaining sampled data can be user-defined, depending on the needs concerning storage space. The data pruning procedure is deeply linked to hyper-reduction techniques. The DVC data of a resin-bonded sand tested in uniaxial compression is used as an illustrating example. The relevance of the pruned data is tested afterwards for model calibration. A new Finite Element Model Updating (FEMU) technique coupled with an hybrid hyper-reduction method is used to successfully calibrate a constitutive model of the resin bonded sand with the pruned data only.

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Data Pruning of Tomographic Data for the Calibration of Strain Localization Models

Mathematical and Computational Applications ◽

10.3390/mca24010018 ◽

2019 ◽

Vol 24 (1) ◽

pp. 18

Author(s):

William Hilth ◽

David Ryckelynck ◽

Claire Menet

Keyword(s):

Solid Mechanics ◽

Model Updating ◽

Element Model ◽

Sampled Data ◽

Model Free ◽

Reduction Techniques ◽

Long Term Storage ◽

X Ray Computed ◽

Data Pruning

The development and generalization of Digital Volume Correlation (DVC) on X-ray computed tomography data highlight the issue of long-term storage. The present paper proposes a new model-free method for pruning experimental data related to DVC, while preserving the ability to identify constitutive equations (i.e., closure equations in solid mechanics) reflecting strain localizations. The size of the remaining sampled data can be user-defined, depending on the needs concerning storage space. The proposed data pruning procedure is deeply linked to hyper-reduction techniques. The DVC data of a resin-bonded sand tested in uniaxial compression is used as an illustrating example. The relevance of the pruned data was tested afterwards for model calibration. A Finite Element Model Updating (FEMU) technique coupled with an hybrid hyper-reduction method aws used to successfully calibrate a constitutive model of the resin bonded sand with the pruned data only.

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Model-reduction techniques for Bayesian finite element model updating using dynamic response data

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2014.06.032 ◽

2014 ◽

Vol 279 ◽

pp. 301-324 ◽

Cited By ~ 39

Author(s):

H.A. Jensen ◽

E. Millas ◽

D. Kusanovic ◽

C. Papadimitriou

Keyword(s):

Finite Element ◽

Dynamic Response ◽

Finite Element Model ◽

Model Reduction ◽

Model Updating ◽

Element Model ◽

Finite Element Model Updating ◽

Response Data ◽

Reduction Techniques

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Application of Finite Element Model Updating and Reduction Techniques to Simulate Gearbox Bearing Faults

Australian Journal of Multi-Disciplinary Engineering ◽

10.7158/14488388.2013.11464869 ◽

2013 ◽

Vol 10 (2) ◽

pp. 109-119 ◽

Cited By ~ 1

Author(s):

L.G. Deshpande ◽

N.M. Sawalhi ◽

R.B. Randall

Keyword(s):

Finite Element ◽

Finite Element Model ◽

Model Updating ◽

Element Model ◽

Finite Element Model Updating ◽

Bearing Faults ◽

Reduction Techniques

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Determination of flexible pavement deterioration conditions using Long‐Term Pavement Performance database and artificial intelligence‐based finite element model updating

Structural Control and Health Monitoring ◽

10.1002/stc.2671 ◽

2020 ◽

Author(s):

Yong Deng ◽

Xue Luo ◽

Yazhou Zhang ◽

Shengxin Cai ◽

Kai Huang ◽

...

Keyword(s):

Artificial Intelligence ◽

Finite Element ◽

Model Updating ◽

Element Model ◽

Flexible Pavement ◽

Pavement Performance ◽

Finite Element Model Updating ◽

Pavement Deterioration

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Bridge condition assessment based on long-term monitoring data and finite element model updating

Bridge Maintenance, Safety, Management, Resilience and Sustainability - Bridge Maintenance, Safety and Management ◽

10.1201/b12352-469 ◽

2012 ◽

pp. 3102-3109

Author(s):

H Gomez ◽

Maria Feng

Keyword(s):

Finite Element ◽

Finite Element Model ◽

Model Updating ◽

Element Model ◽

Monitoring Data ◽

Finite Element Model Updating ◽

Bridge Condition Assessment ◽

Long Term Monitoring ◽

Term Monitoring

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Application of finite element model updating and reduction techniques to simulate gearbox bearing faults

Australian Journal of Multi-Disciplinary Engineering ◽

10.7158/n13-ac01.2013.10.2 ◽

2013 ◽

Vol 10 (2) ◽

Cited By ~ 1

Author(s):

LG Deshpande ◽

NM Sawalhi ◽

RB Randall

Keyword(s):

Finite Element ◽

Finite Element Model ◽

Model Updating ◽

Element Model ◽

Finite Element Model Updating ◽

Bearing Faults ◽

Reduction Techniques

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Seismic response trends evaluation via long term monitoring and finite element model updating of an RC building including soil-structure interaction

10.1117/12.914616 ◽

2012 ◽

Cited By ~ 2

Author(s):

F. Butt ◽

P. Omenzetter

Keyword(s):

Soil Structure ◽

Model Updating ◽

Element Model ◽

Soil Structure Interaction ◽

Finite Element Model Updating ◽

Structure Interaction ◽

Rc Building ◽

Long Term Monitoring ◽

Term Monitoring

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Preparation And elemental analysis of ancient fibers

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100126846 ◽

1987 ◽

Vol 45 ◽

pp. 410-411

Author(s):

Allen Angel ◽

Kathryn A. Jakes

Keyword(s):

Cross Sections ◽

Physical Structure ◽

Energy Dispersive ◽

Archaeological Sites ◽

X Ray ◽

Long Term Storage ◽

Backscattered Electron ◽

Electron Imaging

Fabrics recovered from archaeological sites often are so badly degraded that fiber identification based on physical morphology is difficult. Although diagenetic changes may be viewed as destructive to factors necessary for the discernment of fiber information, changes occurring during any stage of a fiber's lifetime leave a record within the fiber's chemical and physical structure. These alterations may offer valuable clues to understanding the conditions of the fiber's growth, fiber preparation and fabric processing technology and conditions of burial or long term storage (1).Energy dispersive spectrometry has been reported to be suitable for determination of mordant treatment on historic fibers (2,3) and has been used to characterize metal wrapping of combination yarns (4,5). In this study, a technique is developed which provides fractured cross sections of fibers for x-ray analysis and elemental mapping. In addition, backscattered electron imaging (BSI) and energy dispersive x-ray microanalysis (EDS) are utilized to correlate elements to their distribution in fibers.

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Modelling of Moisture Movement in Wood during Outdoor Storage

Nonlinear Analysis Modelling and Control ◽

10.15388/na.2001.6.1.15210 ◽

2001 ◽

Vol 6 (2) ◽

pp. 3-14 ◽

Cited By ~ 23

Author(s):

R. Baronas ◽

F. Ivanauskas ◽

I. Juodeikienė ◽

A. Kajalavičius

Keyword(s):

Experimental Data ◽

Finite Difference ◽

Climatic Conditions ◽

Two Dimensional ◽

Moisture Movement ◽

Finite Difference Technique ◽

Long Term Storage ◽

Space Formulation ◽

Term Storage

A model of moisture movement in wood is presented in this paper in a two-dimensional-in-space formulation. The finite-difference technique has been used in order to obtain the solution of the problem. The model was applied to predict the moisture content in sawn boards from pine during long term storage under outdoor climatic conditions. The satisfactory agreement between the numerical solution and experimental data was obtained.

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