Description Usage Arguments Details Value Author(s) References See Also Examples
These functions calculate induced stresses due to a point load applied at the surface: induced.point performs this calculation at a specific depth, induced.point.profile performs this calculation at a series of depths.
1 2 | induced.point(P, x, y, z, nu)
induced.point.profile(P, x, y, z = NA, nu)
|
P |
point load |
x |
horizontal distance from point load in the x direction |
y |
horizontal distance from point load in the y direction |
z |
depth(s) of interest |
nu |
Poisson's ratio |
The depth(s) of interest (z) should be a single value for induced.point, and a vector of values for induced.point.profile. For induced.point.profile, the default vector of z values is 1-ft or 1-m increments, to a maximum depth of 50 ft or 50 m.
Function induced.point outputs a six-element list giving the induced stress at a specified depth using the Boussinesq (1885) theory.
sigmaX = induced horizontal stress in the x direction
sigmaY = induced horizontal stress in the y direction
sigmaZ = induced vertical stress
tauZX = induced shear stress on the ZX plane
tauYX = induced shear stress on the YX plane
tauYZ = induced shear stress on the YZ plane
Function induced.point.profile outputs a seven-element list containing seven vectors that display the depth variation of induced stresses using the Boussinesq (1885) theory.
depth = depth
sigmaX = induced horizontal stress in the x direction
sigmaY = induced horizontal stress in the y direction
sigmaZ = induced vertical stress
tauZX = induced shear stress on the ZX plane
tauYX = induced shear stress on the YX plane
tauYZ = induced shear stress on the YZ plane
James Kaklamanos <kaklamanosj@merrimack.edu> and Kyle Elmy <ElmyK@merrimack.edu>
Boussinesq, J. (1885). "Application des Potentiels a L'Etude de L'Equilibre et du Mouvement des Solides Elastiques", Gauthier-Villars, Paris (in French).
stressInducedArea
,
stressVertical
, stressHorizontal
1 2 3 4 5 | ## Example code for Induced Stress due to a Point Load
induced.point(P = 100000, x = 5, y = 2, z = 6, nu = 0.35)
## Example code for Induced Stress due to a Point Load: Profile
induced.point.profile(P = 100000, x = 5, y = 2, nu = 0.35)
|
$sigmaX
[1] 172.2196
$sigmaY
[1] 17.01116
$sigmaZ
[1] 302.7692
$tauZX
[1] 252.3077
$tauYX
[1] 46.62503
$tauYZ
[1] 100.9231
$depth
[1] 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
[26] 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
[51] 50
$sigmaX
[1] -119.2242737 140.6815930 296.9522181 332.6577112 294.6284330
[6] 232.1261981 172.2196175 124.0845942 88.2941685 62.5994315
[11] 44.4068686 31.5614030 22.4631798 15.9800094 11.3264695
[16] 7.9609574 5.5094646 3.7122926 2.3877260 1.4074962
[21] 0.6802256 0.1402142 -0.2602036 -0.5559094 -0.7726395
[26] -0.9295296 -1.0409099 -1.1175829 -1.1677417 -1.1976344
[31] -1.2120498 -1.2146739 -1.2083551 -1.1953015 -1.1772289
[36] -1.1554737 -1.1310774 -1.1048526 -1.0774325 -1.0493100
[41] -1.0208675 -0.9924004 -0.9641356 -0.9362456 -0.9088600
[46] -0.8820744 -0.8559575 -0.8305568 -0.8059029 -0.7820133
[51] -0.7588952
$sigmaY
[1] 119.2242737 111.1508030 95.3489991 72.8547369 49.8294893 30.8031073
[7] 17.0111554 7.7832118 1.9232151 -1.6492942 -3.7351067 -4.8784458
[13] -5.4340194 -5.6283592 -5.6047511 -5.4534002 -5.2309043 -4.9726118
[19] -4.7004173 -4.4276807 -4.1623394 -3.9088879 -3.6696422 -3.4455510
[25] -3.2367177 -3.0427372 -2.8629124 -2.6963934 -2.5422655 -2.3996042
[31] -2.2675093 -2.1451238 -2.0316446 -1.9263266 -1.8284838 -1.7374876
[37] -1.6527643 -1.5737910 -1.5000923 -1.4312360 -1.3668297 -1.3065167
[43] -1.2499731 -1.1969043 -1.1470424 -1.1001435 -1.0559853 -1.0143651
[49] -0.9750980 -0.9380148 -0.9029608
$sigmaZ
[1] 0.000000 9.685861 61.058555 144.825874 224.952112 278.526807
[7] 302.769237 304.788797 293.092008 274.275618 252.619639 230.616987
[13] 209.589667 190.155314 172.531818 156.722327 142.622874 130.082942
[19] 118.938413 109.028659 100.204712 92.332507 85.293516 78.984050
[25] 73.313959 68.205130 63.589973 59.410015 55.614638 52.159960
[31] 49.007874 46.125223 43.483089 41.056195 38.822389 36.762216
[37] 34.858540 33.096238 31.461926 29.943734 28.531109 27.214645
[43] 25.985946 24.837494 23.762549 22.755052 21.809547 20.921112
[49] 20.085297 19.298073 18.555785
$tauZX
[1] 0.000000 48.429307 152.646388 241.376457 281.190141 278.526807
[7] 252.307697 217.706284 183.182505 152.375343 126.309820 104.825903
[13] 87.329028 73.136659 61.618506 52.240776 44.569648 38.259689
[19] 33.038448 28.691752 25.051178 21.983930 19.384890 17.170446
[25] 15.273742 13.641026 12.228841 11.001855 9.931185 8.993097
[31] 8.167979 7.439552 6.794233 6.220636 5.709175 5.251745
[37] 4.841464 4.472465 4.139727 3.838940 3.566389 3.318859
[43] 3.093565 2.888081 2.700290 2.528339 2.370603 2.225650
[49] 2.092218 1.969191 1.855578
$tauYX
[1] -725.01584412 -484.29306928 -196.00541316 -31.68003178 33.21516376
[6] 49.30467973 46.62503141 38.63533430 30.40691444 23.46759757
[11] 18.02914058 13.89142967 10.77540572 8.43014694 6.65711109
[16] 5.30713794 4.27060527 3.46757318 2.83976514 2.34453514
[21] 1.95048397 1.63432189 1.37863522 1.17029552 0.99932263
[26] 0.85806736 0.74062025 0.64238051 0.55973965 0.48984725
[31] 0.43043635 0.37969227 0.33615335 0.29863531 0.26617313
[36] 0.23797628 0.21339377 0.19188693 0.17300790 0.15638268
[41] 0.14169760 0.12868849 0.11713202 0.10683867 0.09764701
[46] 0.08941910 0.08203662 0.07539784 0.06941493 0.06401193
[51] 0.05912288
$tauYZ
[1] 0.0000000 19.3717228 61.0585552 96.5505829 112.4760562 111.4107226
[7] 100.9230789 87.0825134 73.2730019 60.9501373 50.5239278 41.9303613
[13] 34.9316111 29.2546638 24.6474025 20.8963103 17.8278593 15.3038755
[19] 13.2153792 11.4767010 10.0204712 8.7935721 7.7539560 6.8681782
[25] 6.1094966 5.4564104 4.8915364 4.4007419 3.9724742 3.5972386
[31] 3.2671916 2.9758209 2.7176931 2.4882542 2.2836700 2.1006980
[37] 1.9365856 1.7889858 1.6558909 1.5355761 1.4265554 1.3275437
[43] 1.2374260 1.1552323 1.0801159 1.0113356 0.9482412 0.8902601
[49] 0.8368874 0.7876764 0.7422314
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