DESIGN AND OPTIMIZATION OF NEGATIVE POISSON'S RATIO OF ENERGY CONSUMPTION STEEL PLATE BASED ON INTELLIGENT CONSTRUCTION

With the rapid development of technologies, performance of material and structures can be greatly improved through tools such as topological optimization, 3D printing and laser cutting. In the paper, a negative Poisson's ratio steel plate consisting of repeated cross-arranged of concave hexagonal elements was designed, which could control the longitudinal height and lateral thickness of the concave hexagon to a constant value and increase the energy consumption if the stiffness satisfied the axial force and the cross-sectional area. Based on the response surface method, the parameters were optimized by controlling different parameters to maximize the energy dissipation. Through the above process, the optimized design of the entire negative Poisson's ratio structure was completed. The results showed that the concave hexagonal unit size had the largest energy dissipation when the concave angle (α)=24.73°, the ratio of the longitudinal direction to the transverse unit length, h/l, equaled to 0.7, and the ratio of the transverse to the longitudinal unit thickness, b₁/b₂, equaled to 10 under the constraint condition.