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Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

640
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
640
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

786
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
786
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

634
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...
634
Modeling with Differential Equations01:25

Modeling with Differential Equations

289
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
289
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

515
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
515
Elastic Strain Energy for Normal Stresses01:22

Elastic Strain Energy for Normal Stresses

709
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...
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Related Experiment Video

Updated: Apr 18, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

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Modeling muscle's nonlinear viscoelastic dynamics.

Joseph L Palladino

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study models muscle viscoelasticity using a time-varying elastance concept. Extending this concept to be time, length, and velocity dependent allows for realistic modeling of muscle force generation.

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    Area of Science:

    • Biomechanics
    • Muscle Physiology
    • Computational Biology

    Background:

    • Muscle viscoelasticity complicates accurate modeling of contractile properties.
    • Previous viscoelastic muscle models, including Hill's force-velocity relation, faced limitations in uniqueness and ease of adoption.
    • Time-varying elastance models have been successfully applied to left ventricular mechanics.

    Purpose of the Study:

    • To investigate the applicability of the time-varying elastance concept for modeling muscle viscoelastic properties.
    • To extend the time-varying elastance concept to incorporate time, length, and velocity dependencies.
    • To demonstrate a generalized force generator model for realistic muscle viscoelasticity simulation.

    Main Methods:

    • Conceptual extension of time-varying elastance to include time, length, and velocity dependencies.
    • Utilizing a generalized force generator framework for muscle modeling.
    • Simulation and analysis of muscle viscoelastic behavior under varying conditions.

    Main Results:

    • A time, length, and velocity dependent elastance is necessary for accurate muscle viscoelastic modeling.
    • The generalized force generator model effectively captures complex muscle viscoelastic behaviors.
    • The proposed model offers a more realistic representation compared to earlier approaches.

    Conclusions:

    • The time-varying elastance concept, when extended, provides a robust framework for understanding muscle viscoelasticity.
    • A generalized force generator model can realistically simulate muscle's time, length, and velocity-dependent properties.
    • This approach advances computational modeling in muscle biomechanics.