Large-span bridge sling force identification method based on high-density measuring point strain
An identification method and a large-span technology, which is applied in the field of long-span bridge suspension cable force identification, can solve the problem of small scale of measuring points, and achieve the effects of effective utilization, automatic construction, and excellent performance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach 1
[0016] Specific implementation one: as figure 1 As shown, this embodiment discloses a method for identifying the cable force of a large-span bridge sling based on high-density measuring point strain, and the method includes the following steps:
[0017] Step 1: Relying on the finite element model of the bridge structure to obtain the data of the structural strain of the main girder and the force of the sling cable, use the denoising autoencoder to extract the structural strain characteristics of the main girder, and use the one-dimensional deep convolutional neural network to obtain the structural strain characteristics of the main girder and the sling cable. The correlation relationship between the main beam structure of large-span bridge and the correlation model of sling cable force can be realized;
[0018] Step 2: Use the distributed sensing fiber to obtain the strain monitoring data of the high-density measuring points of the main girder structure, and based on the main ...
specific Embodiment approach 2
[0020] Specific embodiment 2: This embodiment is a further description of the specific embodiment 1. The construction method of the large-span bridge main girder structural strain-sling cable force correlation model described in step 1 is:
[0021] Step 11: Establish a finite element model of the long-span bridge structure, apply the vehicle load and temperature load obtained by traffic flow and temperature statistics, and obtain the strain of each node of the main beam structure of the model at multiple times, as shown in the following formula:
[0022]
[0023] In the formula, is the strain value of the jth node of the main beam structure at the ith moment in the finite element model; is the strain vector of the main beam structure at the ith moment in the finite element model; N is the total number of nodes of the main beam structure in the finite element model.
[0024] Step 1 and 2: Extract the features of the structural strain of the main beam by using the encoding...
specific Embodiment approach 3
[0032] Embodiment 3: This embodiment is a further description of Embodiment 2. The method for estimating all the actual sling cable forces of the large-span bridge described in step 2 is:
[0033] Step 21: Use the distributed sensing fiber to obtain the strain monitoring data of the high-density measuring points of the main beam structure, as shown in the following formula:
[0034]
[0035] In the formula, is the actual strain monitoring value of the jth measuring point of the main beam structure at the ith moment; is the measured strain vector of the main beam structure at the ith moment.
[0036] Step 22: Use the main girder structural strain-sling cable force correlation model established in step 1 to estimate all the actual sling cable forces of the bridge, as shown in the following formula:
[0037]
[0038] In the formula, is the estimated value vector of the actual sling cable force of the bridge at the ith moment; is the estimated value of the actual cab...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More - R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com



