Title:
TRUSS STRESS PREDICTION AND WEIGHT LIGHTENING METHOD BASED ON TRANSFER LEARNING FUSION MODEL
Document Type and Number:
WIPO Patent Application WO/2023/115596
Kind Code:
A1
Abstract:
A truss stress prediction and weight lightening method based on a transfer learning fusion model. The method comprises: taking the cross-sectional area and a material as design parameters, and performing uncertainty quantification to establish a source data set; inputting the source data set into a finite element model for constructing a multi-linkage truss, so as to obtain low- and high-fidelity models; performing random sampling on the low- and high-fidelity models to obtain fidelity points, so as to construct and obtain target data; inputting data of the low-fidelity model into a deep neural network (DNN) model for preliminary training, so as to determine model parameters; retaining the first (n-1) layers, initializing the last layer, re-training and correcting data of the high-fidelity model, and optimizing the number of network nodes, so as to obtain a fusion agent model; and inputting actual data into the fusion agent model for processing, and outputting the target data. The method reduces construction costs while guaranteeing the generalization capability of a deep neural network by pre-training the deep neural network using low-fidelity sampling points; and when the number of high-fidelity sampling points is small, a high-precision agent model can also be constructed, thereby improving the reliability of a weight-lightening design for a truss structure.
Inventors:
PENG XIANG (CN)
SHAO YUJIE (CN)
LI JIQUAN (CN)
JIANG SHAOFEI (CN)
SHAO YUJIE (CN)
LI JIQUAN (CN)
JIANG SHAOFEI (CN)
Application Number:
PCT/CN2021/141474
Publication Date:
June 29, 2023
Filing Date:
December 27, 2021
Export Citation:
Assignee:
TAIZHOU RESEARCH INSTITUTE ZHEJIANG UNIV OF TECHNOLOGY (CN)
International Classes:
G06F30/13
Domestic Patent References:
| WO2020263358A1 | 2020-12-30 |
Foreign References:
| CN113240117A | 2021-08-10 | |||
| CN112182938A | 2021-01-05 | |||
| CN113408703A | 2021-09-17 | |||
| CN109102126A | 2018-12-28 |
Attorney, Agent or Firm:
HANGZHOU QIUSHI PATENT OFFICE CO., LTD. (CN)
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