Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Session-level effects of prolonged exposure therapy with and without topiramate in veterans with posttraumatic stress disorder and alcohol use disorder.

Behaviour research and therapy·2026

Same author

Virtual reality and psychedelics: new perspectives and new possibilities in the treatment of alcohol use disorder.

Frontiers in psychiatry·2025

Same author

2025 ICM: Abbreviated Two- and 1.5-Stage.

The Journal of arthroplasty·2025

Same author

Sarcopenia and Sarcopenic Obesity on Body Composition Analysis is a Significant Predictor of Mortality in Severe Acute Pancreatitis: A Longitudinal Observational Study.

World journal of surgery·2023

Same author

Detection of Chronic Blast-Related Mild Traumatic Brain Injury with Diffusion Tensor Imaging and Support Vector Machines.

Diagnostics (Basel, Switzerland)·2022

Same author

Resting-state magnetoencephalography source magnitude imaging with deep-learning neural network for classification of symptomatic combat-related mild traumatic brain injury.

Human brain mapping·2021

Same journal

From pixels to length: Body length estimation of aquatic macroinvertebrates from digital images for ecological applications.

MethodsX·2026

Same journal

Sorbent-coated metal discs for time-integrated VOC sampling: A reproducible workflow coupled to SPME-GC/MS.

MethodsX·2026

Same journal

Step-by-step <i>En face</i> O red oil method for aortic plaque staining and quantification in ApoE knockout mouse.

MethodsX·2026

Same journal

Optimized protocols for culturing and sectioning mouse intestinal organoids: enhancing efficiency and structural integrity.

MethodsX·2026

Same journal

MCLF: Montage consistent CNN-Liquid fusion for long-term scalp EEG seizure detection.

MethodsX·2026

Same journal

Facile synthesis of model polystyrene nanoparticles for nanoplastics research.

MethodsX·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 1, 2025

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

An optimization method for stochastic reconstruction from empirical data - A limestone rock strain fields study-case

Nathalia B Guerra¹, Anderson V Pires¹, Scott Matthews²

¹University of Campinas, Brazil.

|April 24, 2023

Summary

This summary is machine-generated.

This study introduces a framework for reconstructing rock strain fields using experimental data and Gaussian random fields. The method helps quantify uncertainties in rock simulations, showing that optimal field reconstruction requires individual analysis.

Keywords:

Correlation field DIC Gaussian process Limestone Metamodeling Rock Stochastic Reconstruction of Limestone Rock Strain Fields Using Digital Image Correlation Data Strain field

More Related Videos

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

Related Experiment Videos

Last Updated: Aug 1, 2025

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

Area of Science:

Geotechnical Engineering
Computational Mechanics
Data Science

Background:

Stochastic field reconstruction enhances rock simulation accuracy.
It is vital for uncertainty quantification and upscaling in geosciences.
Digital Image Correlation (DIC) provides experimental strain field data.

Purpose of the Study:

To present a framework for stochastic reconstruction of rock strain fields.
To apply this framework to experimental data from a limestone outcrop.
To improve uncertainty quantification in rock experimental procedures.

Main Methods:

Utilizing Gaussian random field assumptions for strain fields.
Employing Gaussian process training algorithms to estimate field parameters.
Applying a stochastic minimization algorithm for maximum likelihood estimation of hyperparameters.

Main Results:

The framework successfully reconstructs strain fields from DIC data.
Analysis revealed that no single correlation function (e.g., spherical, exponential) universally fits all rock fields.
Hyperparameters for best-fit correlation functions were calculated for the specific rock sample.

Conclusions:

The stochastic reconstruction framework is versatile for measurable fields represented by Gaussian random fields.
Accurate strain field reconstruction requires case-by-case analysis of correlation functions.
The study contributes to more reliable uncertainty quantification in rock mechanics.