公开(公告)号：US20240378346A1

公开(公告)日：2024-11-14

申请号：US18784658

申请日：2024-07-25

Applicant: Dalian University of Technology

Inventor： Xiangtao MA ,  Bo WANG ,  Peng HAO ,  Zitong ZHOU

IPC: G06F30/23 ,  G06F30/15

Abstract: The present application provides a thin-walled shell model updating method and system. The method includes converting an influence of fine feature structures in a space shell structure on stiffness and mass equivalently onto a skin and a stiffener, so as to simulate the influence of the fine feature structures on a bearing capacity of a whole structure.

公开(公告)号：US20220138582A1

公开(公告)日：2022-05-05

申请号：US17424785

申请日：2021-02-22

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Peng HAO ,  Kunpeng ZHANG ,  Dachuan LIU ,  Bo WANG ,  Gang LI ,  Yuhui DUAN ,  Yunfeng SHI ,  Yutong WANG

IPC: G06N3/08 ,  G06V10/774 ,  G06F30/17 ,  G06F30/27

Abstract: An intelligent layout design method of curvilinearly stiffened structure based on image feature learning. Firstly, the design variables of the curvilinearly stiffened structure are determined based on the path function. The autoencoder network is built to complete the learning of the structural characteristics of the image, and the transfer learning of the model is further carried out. The convolution neural network is built to complete the learning of the image set with mechanical response labels. Finally, the evolutionary algorithm is used to optimize the layout of the curvilinearly stiffened structure based on the model. The invention solves the problem that the traditional optimization method is difficult to deal with the optimization design with many and variable design variables, and is expected to become one of the most potential technical means involved in the layout design of components in the engineering field.

公开(公告)号：US20210056243A1

公开(公告)日：2021-02-25

申请号：US16754672

申请日：2019-04-17

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Bo WANG ,  Peng HAO ,  Xiangtao MA ,  Kaifan DU ,  Jie GUO ,  Xi ZHANG

IPC: G06F30/17 ,  G06F30/23 ,  G06F17/18 ,  G06T17/20

Abstract: A method for establishing a geometrical imperfection database of aerospace thin-walled structures is disclosed. The method comprises the following steps: 1) design the shell quality inspection card that is suitable and convenient to measure the geometrical imperfections for field workers. Obtain the parameters and geometrical imperfections of shells by filling data of measurement points in the shell quality inspection card; 2) perform characteristics combing, mathematical description and component analysis for the geometrical imperfections obtained in the first step; 3) collect and analyze the geometrical imperfection information of multiple aerospace thin-walled shells and establish the geometrical imperfection database based on the first step and second step. The method will effectively serve the development of aerospace equipment, shorten the design cycle and provide guidance and specifications for the design of the thin-walled components carrying main load.

公开(公告)号：US20160187230A1

公开(公告)日：2016-06-30

申请号：US14781941

申请日：2014-02-12

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Bo WANG ,  Peng HAO ,  Gang LI ,  Kuo TIAN ,  Zeng MENG ,  Kaifan DU ,  Yan ZHOU ,  Xi ZHANG ,  Xiaohan TANG ,  Bin WANG ,  Hongzhi LUO

IPC: G01M99/00

CPC classification number: G01M99/007 ,  B64C1/068 ,  G06F17/5018 ,  G06F2217/16 ,  G06F2217/46

Abstract: A method for determining a reduction factor of a bearing capacity of an axial load cylindrical shell structure relates to stability checking of main bearing strength thin-walled members of aerospace and architectural structures. Different from experiment experience-based conventional defect sensitivity evaluating method represented by NASA SP-8007, a depression defect is introduced in a manner of applying a radial disturbance load. First, an influence rule of a depression defect amplitude of a single point to an axial load bearing capacity is analyzed by using numerical values, so as to determine a load amplitude range; then, defect sensitivity analysis is performed on depression defects of multiple points; then, experiment design sampling is performed by using load amplitude values and load position distribution as design variables; and finally, based on optimizing technologies such as an enumeration method, a genetic algorithm and a surrogate model, the most disadvantageous disturbance load of the multiple points that limits the defect amplitude is searched for, and a reduction factor of the bearing capacity of the axial load cylindrical shell structure is determined, so as to establish a more physical method for evaluating the defect sensitivity and the bearing performance of the axial load cylindrical shell structure.

Abstract translation: 用于确定轴向负载圆柱形壳结构的承载能力的减小因子的方法涉及航空航天和建筑结构的主轴承强度薄壁构件的稳定性检查。 与NASA SP-8007代表的基于实验经验的常规缺陷灵敏度评估方法不同，以施加径向干扰负荷的方式引入凹陷缺陷。 首先，通过使用数值分析单点到轴向载荷能力的凹陷缺陷幅度的影响规律，以确定载荷幅度范围; 然后对多个点的抑郁缺陷进行缺陷敏感性分析; 然后，通过使用负载幅度值和负载位置分布作为设计变量进行实验设计采样; 最后，基于枚举方法，遗传算法和代理模型等优化技术，搜索限制缺陷幅度的多个点的最不利的干扰负载，并且轴向承载能力的减小因子 确定负载圆柱壳结构，以建立更为物理的方法来评估轴向负载圆柱壳结构的缺陷灵敏度和轴承性能。