Submitted:
11 July 2025
Posted:
15 July 2025
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Abstract
Keywords:
MSC: 65N06; 65B99
1. Introduction
- To evaluate the accuracy of the calculated deflection obtained using the correcting factor (as reported in Ref. [19]).
- To investigate which of the established formulas provide lower or upper bounds for the finite element solution.
- To propose a practical algorithm and accompanying computer code for calculating the maximum deflection of a clamped beam subjected to a tip load.
2. Energy Conservation
3. Analytical Solutions
3.1. Displacement Field
3.1.1. Case-1: Timoshenko & Goodier [16]
3.1.2. Case-2: According to Livesley [18]
3.2. Comparison Between the Two Cases
4. Work Associated with the Warping
4.1. Timoshenko & Goodier Formula [16] (`T’)
4.2. Livesley’s Formula [18] (`L’)
5. Deflection Bounds
- With adequate accuracy, the FEM solution can be represented by a straight line in the graph versus . The slope of this line depends on Poisson’s ratio , as also shown in Figure 5. One may observe that as the Poisson’s ratio increases the shear deflection increases as well, and thus the corresponding line moves upwards.
- For the smallest studied aspect ratio , and any value of Poisson’s ratio , the FEM-solution almost belongs to the Roark’s curve, defined by Eq. (11).
- As Poisson’s ratio increases, the FEM-curve tends to Livesley’s curve, that is defined by Eq. (36).
- For Poisson’s ratio and the largest studied aspect ratio , the FEM-solution almost belongs to the Livesley’s curve, defined by Eq. (36).
6. Curve Fitting
7. Interpolation Algorithms
7.1. Algorithm-1: Using only the End-Points and Linear Interpolations
- We perform linear interpolation between the four curves at , and thus determine the value (denoted by `Left’ on the blue line of Figure 6).
- We perform linear interpolation between the four curves at , and thus determine the value (denoted by `Right’ on the red line of Figure 6).
- Based on the above two values, and , we linearly interpolate in terms of , and thus determine the desired value .
7.2. Algorithm-2: Linear Interpolation Based on Local Data
- For the given -value, we perform linear interpolation and determine four values on the corresponding polygonal curves of the FEM-results associated with four Poisson’s ratios .
- For the given -value, which is generally different than the above standardized ones, we perform a linear interpolation among the above four values .
7.3. Algorithm-3: Higher Degree Interpolation
- For the given -value, we apply a cubic interpolation –according to Table 4– on each of the four cubic lines associated with four Poisson’s ratios . Therefore, four discrete value are determined.
- Having found the above four values on the interpolated curves, we then perform linear (or better cubic interpolation) between these four values.
8. Discussion
- : Deep beam — Requires 2D or 3D theory (not simple beam theory). Shear deformation is dominant; plane sections do not remain plane. 2D elasticity needed to capture full stress state.
- : Timoshenko beam — First-order shear deformation theory. Both bending and shear are significant. Timoshenko or 2D plane stress gives good accuracy.
- : Euler–Bernoulli beam — Classical beam theory applies. Shear deformation is negligible; plane sections remain plane.
9. Conclusions
Funding
Conflicts of Interest
Appendix A. MATLAB Code
- %***************************************************************
- % CALCULATION OF MAXIMUM SHEAR DISPLACEMENT FOR A CLAMPED BEAM %
- %***************************************************************
- clear all; clc;
- %--------------------------------------------------------------------------
- %% DATA:
- lambda = 3.0; %DATA (aspect ratio)
- xnu = 0.20; %DATA (Poisson’s ratio)
- %--------------------------------------------------------------------------
- Xvector=[1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0]; %Stored Aspect Ratios
- XNU_vector=[0.15 0.20 0.25 0.30]; %Stored Poisson’s ratios
- %--------------------------------------------------------------------------
- %% FEM results (Shear deflecton) stored in following vectors:
- %% Poisson’s ratio xnu=0.15;
- Yvector15=[2.676262411257414 4.021809648247569 5.358504189437880 ...
- 6.686321234870697 8.005037363892399 9.314331970398570 ...
- 10.613747159425827 11.902739986980976 13.180519494768816];
- %% Poisson’s ratio xnu=0.20;
- Yvector20=[2.774365078728927 4.159939475015129 5.530187872399281 ...
- 6.885109870785819 8.224460551646800 9.547899291536083 ...
- 10.854935378930804 12.145018848933660 13.417298787103448];
- %% Poisson’s ratio xnu=0.25;
- Yvector25=[2.869506424472671 4.291196764702800 5.689446178845692 ...
- 7.064268936127043 8.415387917331998 9.742430923993481 ...
- 11.044855949928603 12.322098545149572 13.573206121168653];
- %% Poisson’s ratio xnu=0.30;
- Yvector30=[2.961818588899186 4.415883096106974 5.836817412815648 ...
- 7.224639785307140 8.579029199727003 9.899568440265767 ...
- 11.185645855631606 12.436666554785461 13.651548593491555];
- %% LINEAR INTERPOLATION based on the given Aspect ratio:
- %---Interpolate on the four polygonal lines of FEM-results:
- Y15=interp1(Xvector,Yvector15,lambda);%interpolate on curve xnu=0.15
- Y20=interp1(Xvector,Yvector20,lambda);%interpolate on curve xnu=0.20
- Y25=interp1(Xvector,Yvector25,lambda);%interpolate on curve xnu=0.25
- Y30=interp1(Xvector,Yvector30,lambda);%interpolate on curve xnu=0.30
- %---Store the finding for all the four Poisson’s ratios:
- Ysequence = [Y15 Y20 Y25 Y30]; %store all four Vs-values
- %---Linear interpolate for the given Poisson;s rtio:
- disp(’*** LINEAR INTERPOLATION ***’)
- Vs=interp1(XNU_vector,Ysequence,xnu); %linear interplate for given xnu.
- disp([’Maximum Shear Deflection Vs-max = ’, num2str(Vs)]);
- %--------------------------------------------------------------------------
- return
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| Author | Boundary conditions | |||
|---|---|---|---|---|
| Timoshenko & Goodier [16] |
, , |
0 | ||
| Livesley [18] |
, , |
0 |
| Model | |||||||
|---|---|---|---|---|---|---|---|
| Livesley | 6.7500 | 17.6250 | 37.5000 | 69.3750 | 116.2500 | 181.1250 | 267.0000 |
| FEM | 6.9618 | 17.9159 | 37.8368 | 69.7246 | 116.5790 | 181.3996 | 267.1856 |
| Roark | 7.1200 | 18.1800 | 38.2400 | 70.3000 | 117.3600 | 182.4200 | 268.4800 |
| Timoshenko | 7.9000 | 19.3500 | 39.8000 | 72.2500 | 119.700 | 185.1500 | 271.6000 |
| Poisson’s ratio () | Linear Interplation | R-squared |
|---|---|---|
| 0.15 | 0.0934210 + 2.6266105 | 0.99993159 |
| 0.20 | 0.1870982 + 2.6613086 | 0.99981251 |
| 0.25 | 0.3050623 + 2.6765495 | 0.99957846 |
| 0.30 | 0.4463497 + 2.6731285 | 0.99916785 |
| “““` |
| Poisson’s ratio | Cubic interpolation formula for |
|---|---|
| 0.15 | |
| 0.20 | |
| 0.25 | |
| 0.30 |
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