An analysis of the moments of our class lectures

Ask students to brainstorm or generate lists. These are really the four steps that have to be performed in the analysis of an engineering system or of a physical system that we want to analyze.

So this is a very simple finite element analysis if you want to think of it that way. You might call on students to discuss the answers or collect the anonymous responses to get an indication of the range of levels of understanding.

These few lectures really represent a very brief and compact introduction to the field of finite element analysis. Notice, please, that the superscript here refers to the element number, superscript 1 here for element 1, superscript 2 here for element 2.

Ladies and gentlemen, welcome to this set of lectures on the finite element method. And the covariance matrix is the psi matrix, which is diagonal. And we have n time periods t. The displacement of this cart is u3. Here you see the finite element analysis, or the mesh that was used in the finite element analysis of a tire.

Allow time for students to write a summary of the key points of a lecture. So the number of parameters in sigma.

Here we have a set of rigid carts, three rigid carts, vertical carts that are supported on rollers down here.

And we will also find that the equilibrium in that element domain is not satisfied. So in this model we have the realizations on the underlying factors being random variables. And the dam itself was also idealized as an assemblage of elements.

The elements here than are k1. They can also signal transitions from a subtopic to the next e. Here we can do the same thing. This wall is half of the tire, as you can see, and this was the finite element mesh used.

And these three types of problems, of course, arise for discrete and continuous systems.

I will emphasize modern and effective techniques and their practical usage. This is from Barr Rosenberg.

Because many of the characteristics that we are using in the analysis of discrete systems, discrete meaning, springs, dashpots, et cetera, we can directly see the discrete elements of the system.

The analysis of a complex continuous system requires a dissolution of the differential equations using numerical procedures. The effectiveness of a potential factor is determined by fitting the model and seeing how much contribution that factor makes to the explanation of the returns and the covariance structure.

We need to be a little bit careful about the Gauss Markov assumptions. They can also provide the students with an organizing framework they can use to process the flow of information in all its detail.

That is the global displacement u1. Make eye contact with the students. We talk about very many elements in order to obtain an accurate response prediction. So we have a T by m matrix for the m assets.

In addition, these techniques are likely to elicit attention: The unconditional covariance of x is actually equal to the expectation of this plus the variance of the conditional expectation, or the covariance of the conditional expectation. And let us display the basic ideas in the analysis of this discrete system.

And so that equation is really very simple.Summary of Properties of Moment and Shear Force Diagrams In the following, we summarize key properties of shear force and bending moment diagrams. • In beam segments without distributed loading, the shear force is constant and the bending moment is linearly varying.

COURSE CODE-BCE STRUCTURAL ANALYSIS 2. 2 like freely available materials from internet from which the lecture note was prepared. The ownership of the information lies with the the end B` of the conjugate beam must have a magnitude mi-centre.comg moments about B` we have, - By our sign convention the induced moment.

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Bringing cartoons to class or peppering your lectures with jokes will certainly grab students’ attention. However, be careful not to use humor that is offensive to some students or some groups. Handle difficult Moments with Respect & Sensitivity Quizzes and Item Analysis to Inform Teaching and Learning.

Lecture Notes #6: Correlation and Regression One must always be careful when interpreting a correlation coe cient because, among other things, it is quite sensitive to outliers.

The e ects of a single outlier can have dramatic e ects. So, when interpreting a correlation one must always, always check the scatter plot for outliers.

Structural Analysis Forest Flager, MEng, MDesS Forest Flager, MEng, MDesS CEE Reid Senescu and John Haymaker October 26, AdAgenda - Analysis Process OT Moment - Mo (MN*m) CSCEC 11 Arup (smooth) Arup (h bi h) 12 9 Mo Reid Senescu and John Haymaker.

An analysis of the moments of our class lectures
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