Triangular Mesh Boolean Operation Method for Finite Element Analysis

doi:10.16182/j.issn1004731x.joss.20-0957

Abstract

Abstract:

To shorten the cycle of finite element analysis (FEA), an adaptive triangular mesh Boolean operation method for finite element analysis is proposed. The ADT (alternating digital tree) data structure is applied to the intersection calculation of triangular meshes, which improves the efficiency of the intersection calculation of Boolean operations. A sphere packing algorithm and a node addition/deletion algorithm are used to remesh some remeshing regions, which ensures the efficiency of the method and the high-quality of remeshed meshes. An improved octree background grid is used to record and smooth the size field, which can generate size-adaptive meshes. The size field is used to reasonably control remeshing regions, which ensures the efficiency and mesh quality of the method. Results show that the proposed method can efficiently generate meshes that meet the needs of FEA.

Key words: Boolean operation, adaptive, triangular mesh, finite element, ADT(alternating digital tree)

CLC Number:

TP391.9

Yufei Guo, Kang Zhao, Yongqing Hai. Triangular Mesh Boolean Operation Method for Finite Element Analysis[J]. Journal of System Simulation, 2022, 34(5): 1003-1014.

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模型	文献	节点	时间/s	最小角/?(°)	平均最小角/(°)
Fandisk	[55]	5 100	17.000	17.000	49.000
	[35]	3 000	40.000	24.350	51.680
	[56]	4 000	3.000	21.000	53.000
	[57]	4 000	0.250	18.000	49.000
	本文	3 046	0.203	19.400	53.717
Joint	[35]	6 000	66.120	24.950	53.510
	[34]	6 000	3.640	29.890	53.410
	[57]	3 100	0.640	15.000	47.000
	本文	6 391	0.453	28.786	57.134
Horse	[55]	5 600	28.000	9.100	50.000
	[56]	6 000	16.000	30.000	52.000
	[57]	6 000	0.940	28.000	51.000
	本文	5 872	11.235	20.700	50.530

?算例	优化	单元数	最小角/(°)	最大角/(°)	不同内角三角片数
?算例	优化	单元数	最小角/(°)	最大角/(°)	0°~15°	15°~30°	150°~165°	165°~180°
1	优化前	62 363	0.03	178.52	623	306	57	30
1	优化后	65 405	8.82	158.20	2	44	2	0
2	优化前	3 122	0.26	178.00	221	158	24	23
2	优化后	2 704	17.80	121.10	0	12	0	0
3	优化前	31 558	0.02	179.41	13 172	3 691	1 659	3 099
3	优化后	60 942	4.13	134.91	88	431	0	0
4	优化前	48 260	0.15	179.30	5 932	7 418	412	127
4	优化后	47 196	0.30	179.30	5 254	6 992	338	100
5	优化前	2 434	0.01	176.44	343	235	36	11
5	优化后	1 868	0.07	176.44	93	139	10	3

算例	CGAL	本文方法?(未采用ADT)	本文方法?(采用ADT)
1	4.187	260.974	1.267
2	0.631	8.642	0.153
3	4.234	173.342	1.135
4	17.475	473.251	3.703
5	3.975	27.343	0.938	s