Coverage for src/beamme/mesh_creation_functions/beam_splinepy.py: 94%

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1# The MIT License (MIT) 

2# 

3# Copyright (c) 2018-2025 BeamMe Authors 

4# 

5# Permission is hereby granted, free of charge, to any person obtaining a copy 

6# of this software and associated documentation files (the "Software"), to deal 

7# in the Software without restriction, including without limitation the rights 

8# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 

9# copies of the Software, and to permit persons to whom the Software is 

10# furnished to do so, subject to the following conditions: 

11# 

12# The above copyright notice and this permission notice shall be included in 

13# all copies or substantial portions of the Software. 

14# 

15# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 

16# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 

17# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 

18# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 

19# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 

20# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN 

21# THE SOFTWARE. 

22"""Create a beam filament from a curve represented with splinepy.""" 

23 

24import numpy as _np 

25 

26from beamme.core.conf import mpy as _mpy 

27from beamme.mesh_creation_functions.beam_parametric_curve import ( 

28 create_beam_mesh_parametric_curve as _create_beam_mesh_parametric_curve, 

29) 

30 

31 

32def get_curve_function_and_jacobian_for_integration(curve, tol: float | None = None): 

33 """Return function objects for evaluating the curve and the derivative. 

34 These functions are used in the curve integration. It can happen that the 

35 integration algorithm has to evaluate the curve outside of the defined 

36 domain. This usually leads to errors in common spline/NURBS packages. 

37 Therefore, we check for this evaluation outside of the parameter domain 

38 here and perform a linear extrapolation. 

39 

40 Args 

41 ---- 

42 curve: splinepy object 

43 Curve that is used to describe the beam centerline. 

44 tol: float 

45 Tolerance for checking if point is close to the start or end of the 

46 interval. If None is given, use the default tolerance from mpy. 

47 

48 Return 

49 ---- 

50 (function, jacobian, curve_start, curve_end): 

51 function: 

52 Function for evaluating a position on the curve 

53 jacobian: 

54 Function for evaluating the tangent along the curve 

55 curve_start: 

56 Parameter coordinate for the start for the curve 

57 curve_end: 

58 Parameter coordinate for the end for the curve 

59 """ 

60 

61 if tol is None: 

62 tol = _mpy.eps_pos 

63 

64 curve_start = curve.parametric_bounds[0][0] 

65 curve_end = curve.parametric_bounds[1][0] 

66 

67 def eval_r(t): 

68 """Evaluate the position along the curve.""" 

69 return curve.evaluate([[t]])[0] 

70 

71 def eval_rp(t): 

72 """Evaluate the derivative along the curve.""" 

73 return curve.derivative([[t]], orders=[1])[0] 

74 

75 def function(t): 

76 """Convert the curve to a function that can be used for beam 

77 generation.""" 

78 

79 if curve_start <= t <= curve_end: 

80 return eval_r(t) 

81 elif t < curve_start and _np.abs(t - curve_start) < tol: 

82 diff = t - curve_start 

83 return eval_r(curve_start) + diff * eval_rp(curve_start) 

84 elif t > curve_end and _np.abs(t - curve_end) < tol: 

85 diff = t - curve_end 

86 return eval_r(curve_end) + diff * eval_rp(curve_end) 

87 raise ValueError( 

88 "Can not evaluate the curve function outside of the interval (plus tolerances).\n" 

89 f"Abs diff start: {_np.abs(curve_start - t)}\nAbs diff end: {_np.abs(t - curve_end)}" 

90 ) 

91 

92 def jacobian(t): 

93 """Convert the curve to a Jacobian function that can be used for 

94 integration along the curve. 

95 

96 There is no tolerance here, since the integration algorithms 

97 sometimes evaluates the derivative far outside the interval. 

98 """ 

99 

100 if curve_start <= t <= curve_end: 

101 return eval_rp(t) 

102 elif t < curve_start: 

103 return eval_rp(curve_start) 

104 elif curve_end < t: 

105 return eval_rp(curve_end) 

106 raise ValueError("Should not happen") 

107 

108 return function, jacobian, curve_start, curve_end 

109 

110 

111def create_beam_mesh_from_splinepy( 

112 mesh, beam_class, material, curve, *, tol=None, **kwargs 

113): 

114 """Generate a beam from a splinepy curve. 

115 

116 Args 

117 ---- 

118 mesh: Mesh 

119 Mesh that the curve will be added to. 

120 beam_class: Beam 

121 Class of beam that will be used for this line. 

122 material: Material 

123 Material for this line. 

124 curve: splinepy object 

125 Curve that is used to describe the beam centerline. 

126 tol: float 

127 Tolerance for checking if point is close to the start or end of the 

128 interval. If None is given, use the default tolerance from mpy. 

129 

130 **kwargs (for all of them look into create_beam_mesh_function) 

131 ---- 

132 n_el: int 

133 Number of equally spaced beam elements along the line. Defaults to 1. 

134 Mutually exclusive with l_el. 

135 l_el: float 

136 Desired length of beam elements. Mutually exclusive with n_el. 

137 Be aware, that this length might not be achieved, if the elements are 

138 warped after they are created. 

139 

140 Return: 

141 Return value from create_beam_mesh_function 

142 """ 

143 

144 ( 

145 function, 

146 jacobian, 

147 curve_start, 

148 curve_end, 

149 ) = get_curve_function_and_jacobian_for_integration(curve, tol=tol) 

150 

151 # Create the beams 

152 return _create_beam_mesh_parametric_curve( 

153 mesh, 

154 beam_class, 

155 material, 

156 function, 

157 [curve_start, curve_end], 

158 function_derivative=jacobian, 

159 **kwargs, 

160 )