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CN-121980866-A - Intelligent arrangement method for bridge jig point positions based on digital twin model

CN121980866ACN 121980866 ACN121980866 ACN 121980866ACN-121980866-A

Abstract

The invention belongs to the technical field of twin simulation, and in particular relates to an intelligent arrangement method of bridge jig point positions based on a digital twin model, which comprises the steps of obtaining a three-dimensional solid model of a bridge member, performing discretization treatment, and calculating geometric potential energy density based on the thickness and main curvature of a plate of an extracted grid micro-element central point; and calculating a heat softening index at a grid infinitesimal central point according to the weld track set and the welding parameters, overlapping the heat softening index with the geometric potential energy density to obtain a support demand density, further distributing an initial jig support point set on the grid, constructing discrete deviation energy, carrying out iterative optimization on the jig support point set by adopting a weighted Thiessen polygon algorithm to obtain updated jig support point coordinates, and carrying out physical interference detection and edge constraint correction on the updated jig support point coordinates to generate a construction drawing. The invention realizes the on-demand distribution and global optimization of the supporting points and ensures the manufacturing precision of the components.

Inventors

  • Luan Ruixiao
  • LI LU
  • GAO SHULONG

Assignees

  • 湖北龙星钢构有限公司

Dates

Publication Date
20260505
Application Date
20260126

Claims (10)

  1. 1. The intelligent arrangement method for the points of the bridge jig frame based on the digital twin model is characterized by comprising the following steps of: Acquiring a three-dimensional solid model of a bridge member, performing discretization, extracting the thickness and the principal curvature of a plate of a grid micro-element central point, and calculating the geometric potential energy density of the grid micro-element central point based on the thickness and the principal curvature of the plate; Analyzing a welding process file corresponding to the component to extract a welding seam track set and welding parameters, calculating a heat softening index at a grid micro-element central point based on the welding seam track set and the welding parameters, and superposing the heat softening index and the geometric potential energy density to obtain a support demand density of the grid micro-element central point; distributing an initial jig frame supporting point set on the grid according to the supporting demand density, constructing discrete deviation energy, and carrying out iterative optimization on the jig frame supporting point set by adopting a weighted Thiessen polygon algorithm to obtain updated jig frame supporting point coordinates; and carrying out physical interference detection and edge constraint correction on the updated jig frame supporting point coordinates to generate a construction drawing containing all supporting point plane coordinates and upright post height values.
  2. 2. The intelligent arrangement method for the bridge jig point positions based on the digital twin model according to claim 1, wherein the calculation formula of the geometric potential energy density of the grid microcell center points is as follows: ; In the formula, Is the grid infinitesimal central point Is a geometric potential energy density of (2); is the grid infinitesimal central point The thickness of the plate; is the grid infinitesimal central point Maximum principal curvature at; is the grid infinitesimal central point A minimum principal curvature at; poisson's ratio for the material.
  3. 3. The intelligent arrangement method of bridge jig point positions based on the digital twin model as claimed in claim 1, wherein the calculation formula of the thermal softening index at the grid microcell center point is: ; In the formula, Is the grid infinitesimal central point A heat softening index at; The total number of the welding seams on the component; the serial number of the welding line; Is the first Line energy of the strip weld; Is an exponential function with a natural constant as a base; is the grid infinitesimal central point Is defined by the spatial coordinates of (a); Is the first Track coordinates of the strip weld; Is taken as a point To the first The shortest Euclidean distance of the strip weld track; is the thermal influence diffusion constant of the component.
  4. 4. The intelligent arrangement method for the bridge jig point positions based on the digital twin model according to claim 1, wherein the superposition of the thermal softening index and the geometric potential energy density is performed to obtain the support demand density of the grid infinitesimal center points, and the method comprises the following steps: Multiplying the heat softening index at the grid microcell center point by a heat sensitive factor, and adding the obtained product to a value 1 to obtain a heat weighting term; and calculating the product of the geometric potential energy density, the normalized coefficient and the thermal weighting term of the grid microcell center point, and taking the obtained product result as the support demand density of the grid microcell center point.
  5. 5. The intelligent arrangement method for the bridge jig point positions based on the digital twin model as claimed in claim 1, wherein the calculation formula of the discrete deviation energy is as follows: ; In the formula, Is the discrete deviation energy; the total number of the supporting points; The number is the number of the supporting point; Is the first A Thiessen area governed by the plurality of support points; to be attributed to the region Is a grid element of (a); is a grid infinitesimal The support demand density at; is a grid infinitesimal Is defined by the center of gravity coordinates of (2); Is the first Current coordinates of the support points; is a grid infinitesimal Is a part of the area of (2); is a grid infinitesimal To the first Euclidean distance of the individual support points.
  6. 6. The intelligent arrangement method for the points of the bridge jig frame based on the digital twin model as claimed in claim 1, wherein the iterative optimization is carried out on the set of the jig frame supporting points by adopting a weighted Thiessen polygon algorithm to obtain updated coordinates of the supporting points of the jig frame, and the method comprises the following steps: and calculating a weighted average value of the barycentric coordinates of all grid cells in the Thiessen area governed by each supporting point as the updated coordinates of each supporting point, wherein the weight used in calculating the weighted average value is the product of the support demand density of the grid cells and the area of the grid cells.
  7. 7. The intelligent arrangement method for the bridge jig point positions based on the digital twin model as claimed in claim 1, wherein the physical interference detection is performed on the updated jig support point coordinates, and the method comprises the following steps: calculating Euclidean distance between any two updated jig frame supporting points; if the Euclidean distance is smaller than the minimum physical diameter of the jig frame base, combining the two corresponding jig frame supporting points; and reassigning the point names released by the merging operation to the area with the largest descending amplitude of the discrete deviation.
  8. 8. The intelligent arrangement method for the bridge jig point positions based on the digital twin model according to claim 1, wherein the performing edge constraint correction on the updated jig support point coordinates comprises: Identifying a jig frame supporting point which is smaller than a preset safety distance from the edge of the component, and projecting the jig frame supporting point onto an edge contour line of the component; the preset safety distance is 1.5 times to 2 times of the radius of the top of the supporting head.
  9. 9. The intelligent arrangement method for the bridge jig point positions based on the digital twin model according to claim 1, wherein the extracting of the principal curvatures of the grid microcell center points comprises the following steps: Acquiring a first-order neighborhood vertex set of a grid micro-element central point; establishing a local coordinate system and fitting a local quadric equation by using a least square method; And solving the maximum principal curvature and the minimum principal curvature of the grid infinitesimal center point based on the local quadric equation.
  10. 10. The intelligent arrangement method for the bridge jig point positions based on the digital twin model as claimed in claim 4, wherein the thermal factors are determined according to the following modes: carrying out a welding experiment of a standard test board in advance; if obvious downwarping deformation occurs at the welding seam of the standard test board, the thermosensitive factor is increased; if the standard test board has no obvious downwarping deformation at the welding line, the thermosensitive factor is reduced.

Description

Intelligent arrangement method for bridge jig point positions based on digital twin model Technical Field The invention relates to the technical field of twin simulation. More specifically, the invention relates to an intelligent arrangement method for the points of a bridge jig frame based on a digital twin model. Background In the field of manufacturing large bridge steel structures, particularly for complex structures such as streamline steel box girders, hyperboloid steel towers and the like, the manufacturing precision of special-shaped curved arc members is a key factor for determining the final forming quality of the bridge. Such components are typically spliced from steel plates of different thicknesses, with complex nonlinear spatial curvatures. In the assembly and welding stage of the components, the jig frame is used as a basic tool platform for supporting the components, fixing the line type, bearing the gravity and correcting the weight, and the arrangement mode of the supporting points (commonly called as tooth plates) directly determines the geometric stability and the final line type precision of the components in the manufacturing process. At present, the mainstream jig point position arrangement method in the industry mainly depends on a static geometric model and manual experience, and a process designer usually adopts an equidistant grid distribution method or only determines a supporting position according to key node coordinates in a design drawing. However, the static experience-based arrangement mode has the obvious technical defects that on one hand, the method ignores the geometric rigidity difference of the components due to curvature change, in the area where the curvature is suddenly changed, the components are often required to be supported more densely to resist deformation, the traditional uniform arrangement leads to insufficient support in the areas where the high rigidity is required, local buckling is very easy to occur when correction weights are applied, on the other hand, support redundancy can occur in the gentle areas to cause tool waste, and more seriously, the prior art fails to consider the thermophysical effect in the welding process, welding is a typical movable heat source process, because the support points in the prior art are fixed and do not consider the distribution of a thermal field, serious thermal collapse deformation can occur once the weld track passes through the suspended area where the direct support is lacked, and the mismatch between the static support layout and the dynamic thermodynamic rigidity requirement leads to the technical problems that the correction accuracy is low and the work return rate is high in the current special-shaped component manufacturing. Disclosure of Invention The invention provides an intelligent arrangement method for bridge jig point positions based on a digital twin model, which aims to solve the technical problem that the traditional point arrangement mode ignores geometric rigidity difference and welding thermal effect, and comprises the steps of obtaining a three-dimensional solid model of a bridge member, performing discretization treatment, extracting the thickness and main curvature of a plate of a grid micro-element center point, and calculating the geometric potential energy density of the grid micro-element center point based on the thickness and the main curvature of the plate; analyzing a welding process file corresponding to a component to extract a weld track set and welding parameters, calculating a heat softening index at a grid microcell center point based on the weld track set and the welding parameters, superposing the heat softening index and the geometric potential energy density to obtain a support demand density of the grid microcell center point, distributing an initial jig frame supporting point set on the grid according to the support demand density to construct discrete deviation energy, carrying out iterative optimization on the jig frame supporting point set by adopting a weighted Thiessen polygon algorithm to obtain updated jig frame supporting point coordinates, carrying out physical interference detection and edge constraint correction on the updated jig frame supporting point coordinates, and generating a construction drawing comprising plane coordinates of all supporting points and upright post height values. According to the invention, the three-dimensional solid model of the bridge member is obtained, the geometric potential energy density of the grid infinitesimal center point is calculated, the deformation resistance of different areas of the member due to the thickness and curvature difference of the plate can be quantified, meanwhile, the heat softening index is calculated by combining welding process parameters, and the support demand density is generated in a superposition manner, so that the precise identification of the heat softening risk area caused by insufficient geomet