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Actual Model Examples for Elastic Static Analysis

Analysis Model

Table 9.2.1 lists actual-model verification examples for elastic static analysis. The shapes of the models, with some exceptions, are also shown in Figures 9.2.1 through 9.2.5. A separate direct solver is required to run the examples using element types 731 and 741.

Table 9.2.1 Actual model verification examples for elastic static analysis
Case Name Element Type Verification Model Number of Nodes Degrees of Freedom
EX01A 342 Connecting rod (100,000 nodes) 94,074 282,222
EX01B 342 Connecting rod (330,000 nodes) 331,142 993,426
EX02 361 Block with a hole 37,386 112,158
EX03 342 Turbine blade 10,095 30,285
EX04 741 Cylindrical shell 10,100 60,600
EX05A 731 Wine glass (coarce) 7,240 43,440
EX05B 731 Wine glass (midium) 48,803 292,818
EX05C 731 Wine glass (fine) 100,602 603,612

Connecting rod (EX01A)

Figure 9.2.1 Connecting rod (EX01A)

Block with a hole (EX02)

Figure 9.2.2 Block with a hole (EX02)

Turbine blade (EX03, EX06)

Figure 9.2.3 Turbine blade (EX03, EX06)

Cylindrical shell (EX04, EX09)

Figure 9.2.4 Cylindrical shell (EX04, EX09)

Wine glass (EX05, EX10A)

Figure 9.2.5 Wine glass (EX05, EX10A)

Analysis Results

Example Analysis Results

Examples of analysis results are shown in Figures 9.2.6 through 9.2.9.

EX01A analysis result (Mises stress and deformation plot (10x))

Figure 9.2.6 EX01A analysis result (Mises stress and deformation plot (10x))

EX02 analysis result (Mises stress and deformation plot (100x))

Figure 9.2.7 EX02 analysis result (Mises stress and deformation plot (100x))

EX03 analysis result (deformation plot (10x))

Figure 9.2.8 EX03 analysis result (deformation plot (10x))

EX04 analysis result (deformation plot (100x))

Figure 9.2.9 EX04 analysis result (deformation plot (100x))

Verification Results of Analysis Performance Using Example EX02

An analysis was performed with general-purpose commercial software using a model equivalent to the EX02 block-with-hole verification model. Figure 9.2.10 shows a comparison of the maximum and minimum stress-component values with those from FrontISTR. The figure shows that the stress components agree very closely.

Next, the effect of domain partitioning on the stress distribution was investigated. Domain partitioning was performed using the RCB method, dividing the model into two in each of the X, Y, and Z directions for a total of eight domains. Figure 9.2.11 shows the partitioning. Figure 9.2.12 shows the stress distributions from analyses using a single domain and eight partitioned domains.

Comparison of stress components in EX02 with general-purpose software

Figure 9.2.10 Comparison of stress components in EX02 with general-purpose software

EX02 partitioned into eight domains by the RCB method

Figure 9.2.11 EX02 partitioned into eight domains by the RCB method

Difference in Mises stress distribution due to domain partitioning

Figure 9.2.12 Difference in Mises stress distribution due to domain partitioning

Figure 9.2.12 shows no difference between the two results; they agree completely.

Table 9.2.2 compares execution times for the HEC-MW solver settings used. Figure 9.2.13 also shows the convergence history up to the solution.

Table 9.2.2 Comparison of execution times using HEC-MW solvers
Solver Execution Time (s)
CGI 38.79
CGscale 52.75
BCGS 60.79
CG8 6.65

Comparison of convergence histories using HEC-MW solvers (convergence threshold: 1.0x10^-8^)

Figure 9.2.13 Comparison of convergence histories using HEC-MW solvers (convergence threshold: 1.0x10^-8^)

Comparison of Calculation Time Using Verification Example EX01A

Using verification example EX01A (connecting rod), the speedup in calculation due to domain partitioning was evaluated. A 24-node cluster computer with Xeon 2.8 GHz processors was used for the calculation. The results are shown in Figure 9.2.14. The figure shows that calculation speed increases in proportion to the number of domains.

Differences in calculation time due to the computer environment were also investigated. The results are shown in Table 9.2.3.

Speedup effect of domain partitioning

Figure 9.2.14 Speedup effect of domain partitioning
Table 9.2.3 Comparison of calculation times by computer (1 CPU)
CPU Frequancy [GHz] OS CPU Time [sec] solver time [sec]
Xeon 2.8 Linux 850 817
Pentium III 0.866 Win2000 2008 1980
Pentium M 0.760 WinXP 1096 1070
Pentium 4 2.0 WinXP 802 785
Pentium 4 2.8 WinXP 738 718
Celeron 0.700 Win2000 2252 2215
Pentium 4 2.4 WinXP 830 804