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Related Concept Videos

Measurements of Strain01:27

Measurements of Strain

Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain gauge...
Elastic Strain Energy for Normal Stresses01:22

Elastic Strain Energy for Normal Stresses

Strain energy quantifies the energy stored within a material due to deformation under loading conditions, a fundamental concept in materials science and engineering. The strain energy can be modeled when a material is subjected to axial loading with uniformly distributed stress. In this scenario, the stress experienced by the material is the internal force divided by the cross-sectional area, and the strain induced is directly proportional to this stress through the modulus of elasticity.
If...
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
True Stress and True Strain01:28

True Stress and True Strain

Engineering stress is calculated as the load divided by the original, undeformed cross-sectional area. It approximates a material under load. This approximation is especially relevant post-yield in ductile materials. Though engineering stress-strain diagrams are often used for their convenience and accessibility, they can sometimes fall short in accuracy, particularly when dealing with large strain values.
In contrast, true stress offers a more precise portrayal. It is computed by dividing the...
Strain Energy01:13

Strain Energy

Strain energy is a fundamental concept in the field of materials science and structural engineering, describing the energy absorbed by a material or structure when it is deformed under load.
Consider a rod that is fixed at one end and subjected to an axial force at the free end. This axial force induces stress within the rod, leading to its elongation. As the axial force increases, so does the elongation of the rod, illustrating a direct relationship between the force applied and the resulting...

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Updated: May 28, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Published on: April 11, 2018

Metabolic ensemble modeling for strain engineers.

Yikun Tan1, James C Liao

  • 1Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095-1592, USA.

Biotechnology Journal
|October 25, 2011
PubMed
Summary
This summary is machine-generated.

Ensemble modeling approaches simplify dynamic metabolic model construction using readily available fermentation data. This method aids in validating models and designing microbial strains for metabolic engineering and synthetic biology.

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Published on: May 18, 2015

Area of Science:

  • Systems biology
  • Metabolic engineering
  • Synthetic biology

Background:

  • Mathematical modeling is crucial for quantitative prediction in systems biology.
  • Dynamic metabolic model construction faces challenges due to structural and parameter uncertainties.
  • Dedicated experiments for parameter estimation and model validation hinder biological and biotechnological modeling progress.

Purpose of the Study:

  • To review ensemble approaches for dynamic metabolic modeling.
  • To focus on methods utilizing accessible fermentation data for parameter screening and model validation.
  • To provide a non-mathematical explanation for experimentalists.

Main Methods:

  • Utilizing ensemble approaches to manage uncertainties in model structure and parameters.
  • Employing readily available fermentation data for parameter screening.
  • Leveraging time-course metabolite data for model calibration and validation.

Main Results:

  • Ensemble methods effectively address uncertainties in metabolic models.
  • Fermentation data provides a practical basis for parameter screening and model validation.
  • The approach is accessible to experimental biologists without deep mathematical expertise.

Conclusions:

  • Ensemble modeling with fermentation data offers a viable solution to challenges in dynamic metabolic modeling.
  • This approach facilitates the design of improved microbial strains for metabolic engineering and synthetic biology applications.
  • Simplifying model development accelerates progress in biotechnology.