The stress tensor

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  • Опубликовано: 17 окт 2024

Комментарии • 224

  • @antoniobautista6300
    @antoniobautista6300 9 лет назад +65

    Your explanation is just great !! it is simple, elegant, smooth and flawless. Great job, I have been looking for so long to understand this concepts. Thanks + Regards

  • @MrDaanjanssen
    @MrDaanjanssen 8 лет назад +302

    1:41 my reaction when I saw the mechanics exam

    • @guitarttimman
      @guitarttimman 8 лет назад +6

      +Daan Janssen
      mechanics was so easy bro!
      Multivariate Calculus was a MONSTER! LOL

    • @guitarttimman
      @guitarttimman 7 лет назад +5

      crni195
      All you do is start by examining the upward and downward forces. Then you start on the torques. (The force times the perpendicular distance from the axis of rotation to the line of action of the force.) Then you set all the forces equal to zero for the purpose of making sure their sums are zero so that nothing is moving. That means equilibrium BRO. Tensile forces work on the same principle. Many years ago, I was an expert in vector calculus, but I've been out of it for a long time. I think I can still do it though. I started as a mathematics major. I wasn't a pee wee either. I tested out of many of those courses and earned A's in advanced mathematics. I have a list of some of my grades posted on google. Although math was my first love, I ended up with a degree in Biology Education. It might sound like I am bragging, but that is only because I didn't even learn how to read until I was 19 years old. Anyway, there's another great thing I did. I designed the first program that straightened out the "ghost" parking ticket dilemma in the City of Chicago way back in the 80's, and that was without any prior knowledge of computer programming. I was naive, and the guy who ran the business, Michael Tellerino, ripped me off big time. I think he should come clean about that and clear his conscience.

    • @devvv4616
      @devvv4616 7 лет назад

      are you fr?

    • @carnsoaks1
      @carnsoaks1 7 лет назад +2

      y y y

    • @TheJokeKiller
      @TheJokeKiller 7 лет назад +16

      Thanks for the chuckle.

  • @oceane230
    @oceane230 Год назад +3

    I can't thank you enough - you answered all the questions I had on this topic in the first 3 minutes! My teacher has been trying to explain these concepts for the last 4 lessons.

  • @ozzyfromspace
    @ozzyfromspace 6 лет назад +20

    I don't have a college education and even I found this highly intuitive. Thanks Brian, your explanation was a really helpful primer.

  • @cr7rulz97
    @cr7rulz97 6 лет назад +10

    that was so lucidly explained and drawn. cant thank you enough for color coding the directions. thank you so much Brian

  • @edroberts1943
    @edroberts1943 3 года назад +1

    This is the best explanation of the stress tensor I have found. Thank you!

  • @deniz.7200
    @deniz.7200 4 года назад +2

    Great explanation, thank you. 1 small addition, the normal vectors which you premultiplied are better noted as transposed imo.

  • @SheepEditionStream
    @SheepEditionStream 7 лет назад

    he keeps writting Tzz for Tzy lol, he did it again at 8:12. BUt honestly thank you so much for this. Clear, concise, straight to the point, and everything was relevant to what I needed to know for my exam. Your help was much appreciated

  • @jackal5096
    @jackal5096 4 года назад +1

    At 03:25, you said "the normal vector is a column vector", but wrote it on your whiteboard as a row vector (horizontally). I was watching more of what you wrote, and less of what you said, and became totally confused. Went through 3 of my old textbooks, looking for dot product of vector and tensor, which all showed writing the vector as a standard vector, i.e., a column vector. Finally, I went back and listened to the video. Very, very frustrating. But otherwise, a great tutorial. I saw Bruce's comment below while I was writing this

  • @dastardlyexpressions
    @dastardlyexpressions 7 лет назад

    What a great video to understand not only the stress tensor, but tensors in general. They're rarely taught in application.

  • @LucasMartins-el7kn
    @LucasMartins-el7kn 6 лет назад +4

    Thank you, sir! Now I finally understood what a tensor is.

  • @teymourtb
    @teymourtb Год назад

    Hello, thank you for this video.
    One question: why did you call the back face Txx in the second drawing when it was on the opposite face for the previous drawing? 9:09

  • @ignaciocordova1325
    @ignaciocordova1325 5 лет назад

    Hello Mr Storey, three questions:
    1. Why do we only talk about 3 faces of the cube to define the stress tensor? Is it because the Cauchy's Theorem?
    2. When you apply the divergence theorem you leave the normal vector, why?
    3. I though the divergence was a scalar field, not a vectorial field. The divergence of a tensors results in a vector?
    Thank you very much, great explanation.

    • @brianstorey7830
      @brianstorey7830  5 лет назад

      1) The "three faces" question is a common question and confusing point. The cube is mainly used as a pictorial tool. Perhaps a better way to think is that there are three perpendicular planes that intersect at a point. That is the point that the stress tensor is defined. For each plane that intersects that point, there is a stress vector. These two aspects (the plane and the vector) give the 9 components of the tensor. The cube is easier to draw as the vectors don't overlay each other.
      2) I am not sure I understand question 2.
      3) Divergence of a vector field is a scalar field. Divergence of a tensor field is a vector field!

  • @sdh85204
    @sdh85204 8 лет назад

    Hello,Your explanation is the BEST I have encountered. I wish the other lecturers had been as good !

  • @mireksoja9063
    @mireksoja9063 5 лет назад +2

    Great Job! The concept of the stress tensor is explained in a very simple and intuitional way.

  • @bhangrafan4480
    @bhangrafan4480 4 года назад

    Really clear. A concrete approach to explanation usually works best.

  • @reup6943
    @reup6943 Год назад

    I've seen in other documents:
    S = -T .n (S: surface stress, n: normal)
    with 'T' the 1st Piola Kirchhoff stress.
    Where does the sign difference and multiplication inversion stems from? (in the video we have S = n.T)

  • @saptarshisikder9707
    @saptarshisikder9707 4 года назад

    Great sir...great...so nicely explained...now it became clear..thank you

  • @gaiuspliniussecundus1455
    @gaiuspliniussecundus1455 Год назад

    What if your object under deformation is a parametric function of two variables, u and v, producing a vector in x,y,z? So f(u,v):R^2->R^3. Doesn't the tensor needs to be symmetric? What to do, and how to compute the magnutude of the deformation between a undeformed and deformed object in this case?

  • @sudha4674
    @sudha4674 7 лет назад

    i was struggling to under the concepts of tensor. now I am clear. lots of thanks

  • @robertbrandywine
    @robertbrandywine 8 месяцев назад +1

    So is the answer to a stress tensor problem a simple vector?

    • @robertbrandywine
      @robertbrandywine Месяц назад

      Your input matrix numbers are scalars representing pressure values. You multiply that by a direction vector, and the answer is another vector whose values are also pressure scalars, I think.

  • @bens4446
    @bens4446 7 лет назад

    Great video. Net force per unit volume--so, basically the net force density? But then there are three (x, y, z) components. How to think intuitively about the ith component of density? Density in the ith direction? What's that?

    • @brianstorey7830
      @brianstorey7830  7 лет назад

      Ah, I think maybe this is just confusion over the word "density". Usually when we use the word density, we mean "mass density" - mass per unit volume. That is a scalar and thus has no direction.
      By force density, we just mean the force (vector) divided by the volume over which that force acts. So
      ho g is the force density due to gravity. It has a component only in the direction of the g vector.
      Does this actaully answer your question?

  • @harleyspeedthrust4013
    @harleyspeedthrust4013 5 лет назад +1

    This has applications in machine learning. The backpropagation algorithm can be vectorized and tensors can be used to represent the weight gradients between two layers

    • @rares60
      @rares60 4 года назад

      Could you elaborate a bit?

  • @VikiJoker1924
    @VikiJoker1924 Год назад

    sorry, @ 4:43 how is normal vector equal to what is shown?
    I understand sin30 =1/2 and cos30= sqrt3/2, but where's the 0 from?

  • @dimitarstoyanov9932
    @dimitarstoyanov9932 5 лет назад +1

    How do you calculate the normal vector of the hypotenuse of the triangle to be as shown

  • @manikhorajina2662
    @manikhorajina2662 3 года назад +1

    How is the value for normal vector obtained at 4.48?

  • @adamfattal9602
    @adamfattal9602 5 лет назад +2

    Great video! The information obtained to time ratio in this video is tremendously high. Thanks a lot Prof. Storey. Not bad for an engineer (Just joking. It's based on a joke that's going around the internet).

  • @lopezb
    @lopezb 5 лет назад +2

    Nice!
    (at 3:25 the vector n is a ROW not a column vector).

  • @alwysrite
    @alwysrite 7 лет назад +8

    at 3:25 did you mean a 'row' vector rather than 'column' vector?

    • @marquez2390
      @marquez2390 5 лет назад +5

      No. He means column vector. As dot product of A and B is defined as (A^T)(B) so what you thought was row vector was just the transpose of the column vector he was referring to.

  • @00PedroM
    @00PedroM 7 лет назад

    Great video! I'd like to start recording lessons like you do, but I'm stuck with some technical problems... I don't know how I can support the device I'm going to use for recording (camera or cell phone) at a good distance while I write... Can you tell me how you did this and what tools did you use? Thanks!!!

    • @brianstorey7830
      @brianstorey7830  7 лет назад +1

      I just used one of these document cameras - really no different than a standard web cam but has a stand for writing under.
      www.ipevo.com/prods/point-2-view-usb-camera
      An external mic is usually needed to get better sound quality (rather than the built in laptop mic I had anyway)
      A desk lamp and play around with the lighting. That's about it. Pretty minimal.

  • @_Yvonne_a
    @_Yvonne_a 4 года назад +1

    i am confused as to why we used the normal vector as [ 1/2 , sqrt 3/2, 0] instead of [swrt3/2, 1/2, 0] at 4:48

  • @azuleno17
    @azuleno17 8 лет назад

    Magnificent video. Somehow I got interested into this, but it is really helpful as part of my major.

  • @HitAndMissLab
    @HitAndMissLab 7 лет назад

    Hi, when you are at 4:58 and have triangular body, I don't understand how can you multiply with Tyx, Tyy, Tyz, when Y face doesn't exist at all?
    As well, why tensor has only 3 vectors, when cube has 6 sides. There should be 6 vectors in a tensor?

    • @brianstorey7830
      @brianstorey7830  7 лет назад +1

      On the first question. The surface normal vector has a component in the x and y direction, so face does have a y component - so to speak. I know this is a pretty lame explanation, but the geometry is really tricky. I think you might have to work out an example. You could try an example where you take the little square aligned with the axis and cut a diagonal through it and equate all the forces. It is a little hard to explain in the text box of this comment without drawing another example out. Maybe if you look at "Mohr's circle" in solid mechanics, you this will help.
      On the second question. We considered only 3 of the six faces. This is because the stress tensor has a LOCAL value. It is evaluated at a point in space. Therefore, for equilibrium to be maintained the Txx and Txx (on the opposite face) must balance out and be equal. Thus the forces on the opposite sides of the face cancel. Thus there is a vector with three component acting on the three faces. The stress tensor then has nine components (3x3 matrix). Conservation of angular says the matrix is symmetric and therefore there are 6 unique components to the tensor.
      Hope this is helpful

  • @darthnegativehunter8659
    @darthnegativehunter8659 3 года назад

    this is a really good video (although requires some self calculation to figure out how divergance of tensor has meaning)

  • @diemitdenententanzt
    @diemitdenententanzt 8 лет назад

    Thank you! Your explanation is great! I just wondered if the origin of the Txy force should be on the edge of the cube since you placed the origin of the coordinate system in the lower left corner or doesn't it matter? Sorry, I am quite new to this topic

  • @IceyJunior
    @IceyJunior 5 лет назад

    I'm cool with the governing equations for CFD, which can be written in integral (conservation of mass, linear momentum, angular momentum, and energy) or differential (conservation of mass, linear momentum, and energy) form.
    But I'm not quite sure about the governing equation(s) for CSM. Is this stress tensor the governing equations for CSM? Is it the only one used in CSM?

  • @MrSaleh101
    @MrSaleh101 9 лет назад +13

    Thank you. Explained very well. :)

  • @rawanalharbi6267
    @rawanalharbi6267 3 года назад

    I have a question! Why used the partial derivatives ?

  • @Guthans09
    @Guthans09 9 лет назад +1

    Question about the normal vector in the triangle example. Wouldn't the components of the normal vector, i.e, 1/2 and sqrt(3)/2 be switched since the cosine is in the x-direction (thus making it first) and the sine is in y-direction (making it second)? Assuming we are defining a vector as v = [x , y , z] ? EDIT: I SCREWED UP
    Ayyy lmao, nevermind. I just did the geometry. Carry on. Thanks for this video!

  • @lucasf.v.n.4197
    @lucasf.v.n.4197 8 лет назад +1

    Good job! But I wonder, why did you represent some forces with opposite directions? I mean, you placed Tyx and Tyx+(dTyx/dy)dy with opposite directions as if you already knew these forces had that direction. Could you please give me a convincing explanation of why that is? Thank you, Brian Storey.

    • @brianstorey7830
      @brianstorey7830  8 лет назад +3

      If I shrink the width of the differential element, dx, to zero - then the sum of the forces must be zero. The forces must be equal in magnitude and opposite in sign. The forces have to balance as a remove the distance between them (there is no mass x acceleration to balance an imbalance in forces).
      As I type this I realize this is a short explanation for something that may seem confusing and is not as simple as I am claiming. As usual, it is often hard to answer questions in this forum - so I hope this makes sense.

  • @ritwikbandyopadhyay2376
    @ritwikbandyopadhyay2376 2 месяца назад +1

    why don't you consider the other 3 faces of the cube?

    • @kashifshaikh-uc5uy
      @kashifshaikh-uc5uy День назад

      Becouse exactly same forces act on other three faces of the cube does it is not necessary to list them in the components of tensor.
      He did not mention it by mistake

  • @azadalmasov5849
    @azadalmasov5849 7 лет назад

    Thanks for your great explanation. I have a question: Does this equilibrium equation come from Energy Balance Eqn. ?

    • @brianstorey7830
      @brianstorey7830  7 лет назад

      Equilibrium is from conservation of momentum. If the momentum is not changing, then the sum of the fores should be zero. Is this the equilibrium equation you are referring to?

    • @azadalmasov5849
      @azadalmasov5849 7 лет назад

      Yeah exactly. Thank you

  • @TheGranolaForce
    @TheGranolaForce 9 лет назад +1

    Thank you for posting this video, it was very helpful. Keep up the good work and best wishes!

  • @tehlolzfactor
    @tehlolzfactor 6 лет назад +2

    I know this video is old but I just wanted to point out that at 8:00, the y component of the vector shouldnt be partial of Tzz with respect to z it should be Tzy with respect to z

  • @1946Dmitri
    @1946Dmitri 5 лет назад

    Great explanation! Clear and interesting! Very glad I found your site!

  • @MrCooldude4172
    @MrCooldude4172 6 лет назад

    Hi there, I am confused about one thing:
    Does it matter if you do n . T or T . n, i.e. the order of the dot product of the tensor with the normal vector? I get 2 different results. I know with a vector, it does not matter.

    • @brianstorey7830
      @brianstorey7830  6 лет назад

      So it is different if you think of the 3x3 tensor multiplying a column vector, n or a row vector n multiplying the 3x3 tensor. However, the stress tensor is always symmetric (from angular momentum considerations) therefore for the symmetric tensor you get the same result! If you do much more with tensors, it is usually better to work in index notation, but that opens up more complexity than I wanted here.

  • @FZIFzi
    @FZIFzi 6 лет назад

    Wow!! Thank you, you make it look so simple.. I'm so grateful!

  • @matthiaskern7835
    @matthiaskern7835 2 года назад

    why is he multiplying the vector and matrix in that order? I learned in math that we cant multiply vector with matrix but matrix x vector is possible.

  • @justinflys6961
    @justinflys6961 4 года назад

    Hi i’m reading a textbook which says that the stress vector is equal to the stress tensor dot the normal unit vector. Here you wrote it the other way around. You are the second source i’ve seen to write it this way and i was wondering if the textbook is wrong. Great video btw!

    • @brianstorey7830
      @brianstorey7830  4 года назад

      Confusing right? I think I am correct. The only way to be unambiguous is to use the Einstein index notation - but for teaching concepts I find this gets bogged down in subscripts. The fortunate thing is that since the tensor is symmetric you get the same result with n dot T and T dot n.

    • @brianstorey7830
      @brianstorey7830  4 года назад

      And... in matrix notation n dot T is like a row vector on the left multiplying a matrix and T dot n is like a matrix on the left multiplying a column vector.

  • @aminegc9353
    @aminegc9353 5 лет назад +1

    hello sir , i just would like to tell you that i speak and understand french cours more better that english , but your cours is too much well explained than in french , i understood more better what you explain for us, i would like too to give us more cours about elasticity and FEM to beguinner untel to the advenced level, thank you sir another time. :)

    • @DiceMaster740
      @DiceMaster740 4 года назад

      Maybe you could use the knowledge that you gained from this video, and your ability to speak french, and make a better French video to explain it

  • @dannyboy12357
    @dannyboy12357 7 лет назад +1

    Can you do a video on the stress-energy tensor that has 16 components ie. the space-time components.

  • @manaoharsam4211
    @manaoharsam4211 3 года назад

    Yes explanation is good.

  • @samuelhawksworth1923
    @samuelhawksworth1923 3 года назад

    Could someone explain why forces acting in the same direction arent just the same force? I mean they’re coming from the same point right?

    • @brianstorey7830
      @brianstorey7830  3 года назад

      I think I understand the question, which is why do we count the x direction force acting on the normal face different than one acting on the other faces? This is a common and good question. I am not sure that I can answer the question well here in the comments, other than to think about how material responds differently to normal (stretching forces) versus shear (sliding forces). I think maybe a key is to think about the differential cube of material and remember that even though we take the limit of the cube getting smaller and smaller, we still think about the cube as a real 3D object. Hope this helps. but just keep working on it!

  • @BoZhaoengineering
    @BoZhaoengineering 5 лет назад

    can we use column vector form to describe both tensor matrix and normal vector? that will be consistent with vector form/notation in linear algebra.

    • @AntoninKrovina
      @AntoninKrovina 4 года назад

      Just transpose the vector And matrix and change the order of multiplication.

  • @bsp6496
    @bsp6496 8 месяцев назад

    Hoooly molly, didn't expect that at the end. I can get why tensors are used in mechanics now.

  • @elpony8888
    @elpony8888 8 лет назад

    Got a little doubt while studying the momentum conservation equation. I've noticed that in some books the divergence of the shear stress tensor matrix is used with a negative sign. How could it be?

    • @brianstorey7830
      @brianstorey7830  8 лет назад

      +Agustin Piussi
      I am not sure without seeing the book, but my guess is that it just depends on what side of the equation you like things.
      For example for Newton's Law I could write F = ma or F-ma=0 or ma-F = 0.
      All are equally valid and which way you write it is just a matter of taste.

    • @elpony8888
      @elpony8888 8 лет назад

      imgur.com/vLpPWxv, those are the equations I took from Bird's book, as it can be seen, the frist three equations have a minus sign on the tensor divergence. However, once they consider the fluid as newtonian, the equation is exactly the same as the one you derived.

  • @wulphstein
    @wulphstein 5 лет назад +1

    Does a stress energy event update spacetime at the speed of light?

    • @dieselguitar1440
      @dieselguitar1440 5 лет назад

      I'm not sure if I know exactly what that is, but I would guess that it would be at the speed of sound of the material in question. If I'm assuming correctly, sound would actually be a stress energy event in constant oscillation.
      Here's a link where if I remember right they talk about tension in a slinky released into free fall moving at the speed of sound, or if it wasn't the speed of sound, it definitely wasn't light speed. The comment section is also filled with people's own theories, but I'm pretty sure the contents of the video are known facts: ruclips.net/video/eCMmmEEyOO0/видео.html

  • @aniken184
    @aniken184 6 лет назад

    i think at 8:00 minute see divergence of stress tensor gives components in terms of (del T ij / del xi )j so it might be right only in case of stress symmetry. But if stress tensor represented as column vector combination of stress on each plane then first column will give stress on plane perpendicula to x and so divergence of it gives del Tij / del xj ) i in general . is it correct or not?

    • @brianstorey7830
      @brianstorey7830  6 лет назад

      So the order of things is always easy to confuse and something I tend to screw up a lot. Is it Tij or Tji? It is a common mistake, and one I have trouble with. The good thing is that in the case of stress, T is ALWAYS symmetric. So it doesn't matter....
      As you note, using index notation is a better way to be clear about which components you are talking about, but that was not something I wanted to introduce here.

  • @ingGS
    @ingGS 4 года назад +1

    Beautiful explanation. Thank you!

  • @amanravan9795
    @amanravan9795 Год назад

    Thankyou sir
    Good explanation

  • @hawraaraheem2449
    @hawraaraheem2449 2 года назад

    How u supposed these values in normal vector n please

  • @anomalyanomaly
    @anomalyanomaly 9 лет назад +10

    Fucking smooth to understand. Thank you.

  • @fatkraken3140
    @fatkraken3140 5 лет назад

    why there are only forces on the 3 faces ?

  • @jeanpaul4294
    @jeanpaul4294 4 года назад

    please answer me for 0:46 is the 2d tensor both forces or just one?

    • @brianstorey7830
      @brianstorey7830  4 года назад

      The 2D pictures are just easier to draw. Everything is conceptually the same for 2 and 3D. For 2D, we are just working in the plane of the paper you are drawing on. Here at the beginning I was just trying to explain that for stress the direction of the force and the direction of the face upon which it acts are both important.

  • @Farzan1World
    @Farzan1World 7 лет назад

    Very well explained. Thank you. Can you refer me somewhere on the web that makes practical use of this with numbers generated, say in fluid dynamics or stress analysis?

  • @jeffreychavey4161
    @jeffreychavey4161 7 лет назад

    Great stuff ... but where'd you learn to write so fast?

  • @luk45ful
    @luk45ful 2 года назад

    Really good explanation!

  • @science_10523
    @science_10523 3 года назад

    very nice and simple explanation. very good sir. can u make a video on "elastic constants ( C11, C12 etc.)"?

  • @alikarimi-langroodi5402
    @alikarimi-langroodi5402 2 года назад

    Excellant. Thank you

  • @RahulSharmaSingularity
    @RahulSharmaSingularity 2 года назад

    Fantastic !!!

  • @fernandb.6162
    @fernandb.6162 4 года назад +2

    3:24 I felt that :D
    Great video sir, thanks a lot :)

  • @digguscience
    @digguscience 4 дня назад

    The stress tensor is very important in fluid analysis.

  • @johnspivack6520
    @johnspivack6520 Год назад

    Good and clear. Thanks.

  • @mark_fingerhuth
    @mark_fingerhuth 8 лет назад

    great video! thanks for explaining this topic in such a simple way!

  • @sakonpure6
    @sakonpure6 7 лет назад

    Question: Why is it that when you wright out the stress tensor, you start with Txx?? Why is it defined like that and not arbitrarily with Tyx as the first entry?

    • @brianstorey7830
      @brianstorey7830  7 лет назад +2

      I guess one could devise a different system that would work, I am not sure what it would be. There are some properties of the tensor that I don't discuss here that must be maintained (i.e. you want the tensor to give you the same answer if we change coordinate systems, we want the tensor to conserve angular momentum, and many other things). I could imagine it may be possible to devise a system that satisfies all those constraints.
      However, sometimes we all just have to have an agreement on a standard and a system to move forward - so maybe that is the best reason of all!

    • @sakonpure6
      @sakonpure6 7 лет назад

      Oh i see, fair enough ! Thanks :)

    • @gustavotolson7307
      @gustavotolson7307 6 лет назад +1

      The stress tensor T can also be thought of as three column vectors and three row vectors. In vector notation the order is important, so you can visualize the stress tensor with its nine componets having a header row with x, y, and z and a header column with the same x, y, z. In the convention used here, each element in T has subscripts x, y, or z corresponding to the headers of T.
      As Brian has answered, this is simply one scheme that works and there are symmetrical counterparts that also work.

  • @Ulas_Aldag
    @Ulas_Aldag 3 года назад

    Wow that was amazing

  • @JD-tl9rc
    @JD-tl9rc 7 лет назад

    For consistency of notation, the del operator should carry an overbar arrow to denote it as a vector.

    • @brianstorey7830
      @brianstorey7830  7 лет назад

      I think it is pretty common to write it without the explicit vector notation and that somehow the vector nature is implied. A quick flip through some of my favorite texts all write it without - so I am at least in distinguished company by neglecting it!
      From a student perspective, I kind of like the idea of being explicit with the vector notation as it may help with some of the usual confusion around being only able to take the divergence of a vector and not a scalar.

  • @Amr-hb2wh
    @Amr-hb2wh 8 лет назад +3

    sir you are a masterpiece .

  • @mito._
    @mito._ 4 года назад

    wouldn't it be easier to use a 2d shape, before applying it to a 3d shape?

    • @estabilidad1522
      @estabilidad1522 4 года назад

      Since 2D is a particular case, although is simpler than 3D, some teachers decide to start with 2D, and others starts with 3D.
      Greetings from Argentina.

  • @odijiechrisobhione
    @odijiechrisobhione 2 года назад

    Brian, thanks a lot.

  • @verygood6625
    @verygood6625 5 лет назад +1

    nice job mate... thanks

  • @cuongnguyenhvktqs
    @cuongnguyenhvktqs 7 лет назад

    hello guy. i am studying maxwell stress tensor in rectangular shape. Can you help me?

  • @guneet6065
    @guneet6065 5 лет назад

    Ultimate explanation hats off to you sir :)

  • @kl-nc5rc
    @kl-nc5rc 7 лет назад

    Superb Video!!!!

  • @suryakarla8628
    @suryakarla8628 3 года назад

    Thank you. Very helpful!

  • @Harsh.Parekh
    @Harsh.Parekh 6 лет назад

    scalar also has 3 component in x,y and z component?

    • @brianstorey7830
      @brianstorey7830  6 лет назад

      Scalar just has a single value. Temperature is an example of a scalar. It has no directional components. A vector, like velocity, has x, y, and z components.

  • @tonyzahtila9217
    @tonyzahtila9217 4 года назад

    Great explanation Brian!

  • @iffattarannum7105
    @iffattarannum7105 6 лет назад

    hi, can you give me the exercise solution of Alexander Mendelson's books "Plasticity: Theory and application"

  • @danpoles2864
    @danpoles2864 5 лет назад

    how do u know when the n vector matrix is a column or row

    • @brianstorey7830
      @brianstorey7830  5 лет назад +1

      Yeah, this is always one of the most confusing things. It is always a row vector, but since the tensor is symmetric - it is OK if you mix it up. If you work through an example or two yourself with the sketch of what the components are with simple normal vectors (like [1 0 0]) you'll see how symmetry saves you!

  • @sabamalik1798
    @sabamalik1798 8 лет назад

    Excellent video thanks !

  • @isabeln.93
    @isabeln.93 7 лет назад

    this is so good. thank you so much! precious help

  • @Cosmalano
    @Cosmalano 7 лет назад

    9:30 how is that a Taylor series? And perhaps more importantly, why did you do a Taylor series?

    • @brianstorey7830
      @brianstorey7830  7 лет назад +1

      My explanation was probably a little imprecise here. That is only the first term of the Taylor series. The full thing would be like this mathworld.wolfram.com/TaylorSeries.html
      The idea is that you can expand any function (even if it is unknown) locally around a point in space using the Taylor series. As you take the limit of the distance of the adjacent point becoming closer and closer (i.e. as dx -> 0) then only the first term starts to matter. For example if dx = 0.001 then the terms proportional to dx^2 have a magnitude of 0.0000001 and terms proportional to dx^3 are 0.0000000001 in magnitude. I.e. only the first term matters. All this is a fancy way of saying that the value of some function f, close to zero could be locally approximated by the line f(x) = f(0) + df/fx x
      Hope this makes sense.

  • @Madmetroid99
    @Madmetroid99 7 лет назад

    Thanls a lot, great explanation

  • @fanruihu330
    @fanruihu330 4 года назад

    This is so great!!

  • @МанасХасанов
    @МанасХасанов 3 года назад

    Базар жоқ. Мықты мықты.

  • @VinayKumar-cm2nn
    @VinayKumar-cm2nn 4 года назад

    Thank you sir😊....

  • @eamonnsiocain6454
    @eamonnsiocain6454 6 лет назад

    Excellent! Very clear.

  • @bijoybasumatary4651
    @bijoybasumatary4651 4 года назад

    You are great

  • @rahulsharma-wi7xn
    @rahulsharma-wi7xn 6 лет назад

    great explanation

  • @Ranoake
    @Ranoake 7 лет назад

    Don't tensors have orders? the STress tensor is just a second order tensor, vectors are first order tensors, and scalars are 0 order tensors. Number of numbers = 3^order.

    • @dmitrijramanenka5217
      @dmitrijramanenka5217 6 лет назад

      Yes! scalars and vectors are also tensors, therefore it isn't really correct what is said in the video, that it must be a 3 by 3 matrix..or at least it sound like the only trues.