lecture 12 c.ppt - cleveland state universitylecture 12: prismatic beams in order for this sj matrix...
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![Page 1: Lecture 12 c.ppt - Cleveland State UniversityLecture 12: PRISMATIC BEAMS In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure](https://reader035.vdocument.in/reader035/viewer/2022080720/5f79d2404da5055412698e53/html5/thumbnails/1.jpg)
Lecture 12: PRISMATIC BEAMS
LoadsAfter composing the joint stiffness matrix the next step is composing load vectors. Previously it was convenient to treat joint loads and member loads separately since they are manipulated in different ways. Joint loads are can be immediately placed in a ector of actions sed directl in comp tations Member loads m st be con erted intovector of actions used directly in computations. Member loads must be converted into
equivalent fixed end joint loads.
Consider the following beam once again
![Page 2: Lecture 12 c.ppt - Cleveland State UniversityLecture 12: PRISMATIC BEAMS In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure](https://reader035.vdocument.in/reader035/viewer/2022080720/5f79d2404da5055412698e53/html5/thumbnails/2.jpg)
Lecture 12: PRISMATIC BEAMS
The joint numbering system is the same as the previous section of notes. Joint loads would fill up the matrix [A] as follows
PL
[ ]
=
PL
A000
P00
The remaining loads on the structure act directly on the members and are shown action on the two beam segments as follows
![Page 3: Lecture 12 c.ppt - Cleveland State UniversityLecture 12: PRISMATIC BEAMS In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure](https://reader035.vdocument.in/reader035/viewer/2022080720/5f79d2404da5055412698e53/html5/thumbnails/3.jpg)
Lecture 12: PRISMATIC BEAMS
These fixed end actions may be assembled in a rectangular matrix [AML] where each row contains the end actions for a given member, i.e.,
[ ]
−
= 82821111 LPPLPP
AML[ ]
−
82822222 LPPLPPML
−
44PLPPLP
Given the load values
[ ]
−
=
8282
44PLPPLP
AML
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Lecture 12: PRISMATIC BEAMS
When the fixed end reactions in [AML] are reversed, they constitute equivalent joint loads shown in the following figure
−
8882
21
PL
PL
LP
LPLP
These equivalent joint loads can be assembled as a vector [AE] shown at the right. The equivalent joint loads are [ ]
−=
−=
8
2
81
PLP
LP
P
AEg q jassembled in the vector corresponding to the joint numbering system in the previous section of notes.
[ ]
−
−
−−
−
434
22
821
1
P
PL
PP
LPE
−
− 22
222
PP
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Lecture 12: PRISMATIC BEAMS
Actual joint loads [A] are then added to equivalent joint loads [AE] to produce a matrix of composite loads [AC] as followsp C
[ ] [ ] [ ]+= AAA EC
89
8PL
PL
PLPL
PL
If the signs on the elements of
−
−=
+
−
−=
8
0008
PLP
PLP
If the signs on the elements of [AC] are reversed then the matrix is equivalent to [ARL].
−
−4
34
00
434
PP
P
−
22PP
![Page 6: Lecture 12 c.ppt - Cleveland State UniversityLecture 12: PRISMATIC BEAMS In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure](https://reader035.vdocument.in/reader035/viewer/2022080720/5f79d2404da5055412698e53/html5/thumbnails/6.jpg)
Lecture 12: PRISMATIC BEAMS
In summary the vector [AC] contains information in the following manner
[ ]
DA
A[ ]
−
=RL
C AA
where
P
[ ]
= 89
PL
PL
AD [ ]
= 34P
PL
ARL
8
PL
−
2
4P
The formation of vectors [AD] and [ARL] sets the stage for a completed analysis. Now that the effects of the member loads have converted to equivalent joint loads implies that the vector [ADL] is the null vector. Hence
[ ] [ ] [ ]DASD 1−=
![Page 7: Lecture 12 c.ppt - Cleveland State UniversityLecture 12: PRISMATIC BEAMS In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure](https://reader035.vdocument.in/reader035/viewer/2022080720/5f79d2404da5055412698e53/html5/thumbnails/7.jpg)
Lecture 12: PRISMATIC BEAMS
with (derive for homework)
[ ]
−=−
41121 LS[ ]
− 4114EI
then
[ ] [ ] [ ]= −1 ASD[ ] [ ] [ ]
−=
=
89
4112
14 PL
PL
EIL
ASD D
=
−
517
112
84114
2PL
PLEI
−5112EI
The reactions AR are found by substitution the matrices ARL, ARD and D from above into
[AR] = [ARL] + [ARD][D]
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Lecture 12: PRISMATIC BEAMS
which results in
[ ] [ ] [ ][ ]+= DAAA RDRLR[ ] [ ] [ ][ ][ ] [ ][ ]
+=
062L
EIP
DSA RDRL
RDRLR
−
+
=5
1711260
02
34 2
EIPL
EILEIL
P
PL
−−
− 66
0
2
4
22
2
LEI
LEI
LP
=69
31107
56LP
− 646956
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Lecture 12: PRISMATIC BEAMS
Arbitrary Numbering Systems
In the previous section of notes the joint displacements were numbered in a convenient order, i.e., translations proceeded rotations at each joint. Also, free displacements were numbered before constrained displacements. Consider the arbitrary numbering system below, the sort of numbering system an end user of RISA or STAADS might impose on the analysis If all matrices were generated conforming to the arbitrary numbering system weanalysis. If all matrices were generated conforming to the arbitrary numbering system we could lose some, if not all, of the partition definitions developed in the last section of notes.
What is required of RISA and STAADS is the ability to take an arbitrary numbering system like the one above and transform it back to the numbering system which
i l i d i h d f f d f h i d i hsegregates matrix elements associated with degrees of freedom from those associated with support constraints.
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Lecture 12: PRISMATIC BEAMS
The SJ matrix for the arbitrary numbering system is the 6 by 6 matrix shown below.
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Lecture 12: PRISMATIC BEAMS
In order for this SJ matrix to be useful the actual degrees of freedom and support constraints in the structure must be recognized. If the fourth and sixth rows and columns switched to the first and second rows while all others move downward we obtain the following matrix:the first and second rows, while all others move downward, we obtain the following matrix:
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Lecture 12: PRISMATIC BEAMS
Next the fourth and sixth column are moved to the first and second column, while all other columns move to the right without changing order. This rearrangement produces the SJmatrix we had previously i ematrix we had previously, i.e.,
Software algorithms must ghave the capability to track degrees of freedom and perform the necessary matrix manipulation inmatrix manipulation in order to identify pertinent information.