DESIGN AND OPTIMIZATION OF NEGATIVE POISSON'S RATIO OF ENERGY CONSUMPTION STEEL PLATE BASED ON INTELLIGENT CONSTRUCTION
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摘要: 随着科学技术的不断发展,通过拓扑优化结合三维打印、激光切割等工具实现的智能建造,可以大幅度提高材料和结构的性能水平。为此,设计了一种由内凹六边形单元重复交叉排列组成的负泊松比形式钢板,控制内凹六边形的纵向高度和横向厚度为定值,在刚度满足轴向力和截面积的前提下增加其能耗,并基于响应曲面法,通过控制不同的参数进行优化,实现能量最大化,在此基础上完成整个负泊松比结构的优化设计。试验表明,能量最大的凹六边形单元尺寸为内凹角度α=24.73°、纵向与横向单元长度之比h/l=0.7、横向与纵向单元厚度之比b1/b2=10。Abstract: 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.
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