Question

In: Mechanical Engineering

1.discuss the simple device for rheological model in order to obtain displacement-time and force-displacement responses. 2.explain...

1.discuss the simple device for rheological model in order to obtain displacement-time and force-displacement responses.
2.explain relationship between stress strain curve with an elastic,perfectly plastic model.

Solutions

Expert Solution


Related Solutions

Which pair of quantities represent scalar quantities? (1) displacement and velocity (2) displacement and time (3)...
Which pair of quantities represent scalar quantities? (1) displacement and velocity (2) displacement and time (3) energy and velocity (4) energy and time
1)Explain the humoral immune responses against the upper respiratory tract viruses with mechanisms and functions? 2)Discuss...
1)Explain the humoral immune responses against the upper respiratory tract viruses with mechanisms and functions? 2)Discuss the Humoral immune responses in COVID-19 (SARS-CoV-2) and potential vaccines? But I need answers to be long please:)
Q4-   Explain and discuss the reduction of a 2-body central force problem to a 1-body problem...
Q4-   Explain and discuss the reduction of a 2-body central force problem to a 1-body problem (i.e. reduced mass and Lagrangian of the equivalent system).
Question 2. Please explain A simple model of the forces ON the spine when a person...
Question 2. Please explain A simple model of the forces ON the spine when a person bends over, includes forces downward BY the upper body, and forces BY the muscles in the lower back. Which one of the following statements is correct? Option A: Damage to the spine when bending forward is simply due to overall bending of the spine. Option B: When a person bends forward, large forces are applied to the spine by the muscles of the lower...
In the simple linear regression model ? = ?0 + ?1? +?, explain how the variance...
In the simple linear regression model ? = ?0 + ?1? +?, explain how the variance of the error term u, the sample variance of x, and the sample size n, affect the precision with which we can estimate the unknown parameter ?1
Simple Answers Please 1. Explain/Discuss what a colligative property is. Provide at least 2 examples of...
Simple Answers Please 1. Explain/Discuss what a colligative property is. Provide at least 2 examples of colligative properties. 2. Provide at least on real-life application of freezing point depression.
Please discuss and explain the following two questions: 1- “A job advertisement that generates 1,000 responses...
Please discuss and explain the following two questions: 1- “A job advertisement that generates 1,000 responses is always better than one that gets twenty responses.” Build an argument supporting this statement and an argument against this statement. 2- "An organization should follow a promote-from-within policy." Do you agree or disagree with this statement? Explain.
Discuss the following topics: 1. Rotational Dynamics : Angular displacement, Angular velocity, angular acceleration. 2. Rigid...
Discuss the following topics: 1. Rotational Dynamics : Angular displacement, Angular velocity, angular acceleration. 2. Rigid Body and Moment of Inertia 3. Angular Momentum, conservation of Angular Momentum and Torque with some examples of applications. 4. Mechanical Equilibrium and conditions of equilibrium 5. Elasticity, Plasticity and Hooke's Law 6. Parallel Forces and net torque 7. Coefficient of Elasticity, stress, and strain.
1. Explain Simple Regression analysis 2. Give an example of a simple regression equation in any...
1. Explain Simple Regression analysis 2. Give an example of a simple regression equation in any STEM subject 3. How will you implement such the regression model? 4. List some examples of how regression can be used in research and practice in STEM.
Question 1: Consider the simple regression model: !Yi = β0 + β1Xi + ei (a) Explain...
Question 1: Consider the simple regression model: !Yi = β0 + β1Xi + ei (a) Explain how the Ordinary Least Squares (OLS) estimator formulas for !β̂ and !β̂ are derived. (b) Under the Classical Linear Regression Model assumptions, the ordinary least squares estimator, OLS estimators are the “Best Linear Unbiased Estimators (B.L.U.E.).” Explain. (c) Other things equal, the standard error of β! ̂ will decline as the sample size increases. Explain the importance of this. Question 2: Consider the following...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT