公开(公告)号：US20210215217A1

公开(公告)日：2021-07-15

申请号：US17047872

申请日：2020-02-28

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Zhan KANG ,  Wenjun WU ,  Pai LIU

IPC: F16F1/00 ,  F16F3/00

Abstract: The present invention belongs to the technical fields of novel structure design and lattice material design, and refers to structures, lattice materials, and lattice cylindrical shells with simultaneous stretch- and compression-expanding property. First, use the local tension-compression asymmetry in the tension modulus and compression modulus generated by the contact nonlinearity of the tension springs to construct a type of 2D structures and lattice materials with stretch- and compression-expanding property. Then by assembling the 2D structures in different directions, 3D structures and lattice materials can be constructed. Meanwhile, a lattice cylindrical shell can also be constructed by using the 2D stretch- and compression-expanding structures as the unit cell. The structures and lattice materials presented in this invention can be used as a specific functional material and has a promising application in the fields of energy absorption, vibration reduction, medical treatment, wave propagation, intelligent components, and so on.

公开(公告)号：US20210073428A1

公开(公告)日：2021-03-11

申请号：US16757669

申请日：2019-08-12

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yangjun LUO ,  Zhan KANG ,  Pai LIU

IPC: G06F30/10 ,  G06F30/23

Abstract: A structure topology optimization method based on material-field reduced series expansion is disclosed. A bounded material field that takes correlation into consideration is defined, the bounded material field is transmitted into a linear combination of a series of undetermined coefficients using a spectral decomposition method, these undetermined coefficients are used as design variables, an optimization model is built based on an element density interpolation model, the topology optimization problem is solved using a gradient-based or gradient-free algorithm, and then a topology configuration with clear boundaries is obtained efficiently. The method can substantially reduce the number of design variables in density method-based topology optimization, and has the natural advantage of completely avoiding the problems of mesh dependency and checkerboard patterns.