Gyroid-like structures are promising in terms of energy absorption levels. Due to additive manufacturing, they can now be manufactured and verified for different functions. In this article, it has been proven that a Gyroid manufactured by FDM using PLA with 0.2 relative density must be oriented so that compression takes place along the build direction to obtain higher levels of force and energy. The Gyroid can be scaled, allowing the use of a single compression curve with almost constant forces up to 50% compression. The model to predict properties as a function of relative density fits well with a power-law for n = 2.2. The ability of the Gyroid to absorb energy per kilogram is about seven times lower than that of a solid PLA cube, but it can be used to obtain desired levels of deceleration. It is possible to use a simple constant deceleration model to define the Gyroid size, mass, and velocity of the object to be impacted. The use of this approach allows the tailored combination of Gyroid sizes to meet multi-objective impact targets. The simulation of impacts with a finite element model of only 125 solid elements is possible with errors below 10%. By combining different Gyroid sizes, two different safety regulations can be met. Modeling the Gyroid by meshing the real geometry allows for the local maximum force magnified at high strain rates, but it is not able to correctly predict densification.

Horacio Rostro-González

Guillermo Reyes-Pozo

Josep Maria Puigoriol-Forcada

Francisco-José López-Valdés

Sriharsha Srinivas Sundarram

Andres-Amador Garcia-Granada

Computation

Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to:  bioinformatics  mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions  mathematical modeling of pathways and genetic interactions  neuroscience computation including neural modeling, brain theory and neural networks  computational chemistry, including, but not limited to:  new theories and methodology including their applications in molecular dynamics  computation of electronic structure  density functional theory  designing and characterization of materials with computation method  computation in engineering, including, but not limited to:  new theories, methodology and the application of computational fluid dynamics (CFD)  optimisation techniques and/or application of optimisation to multidisciplinary systems  system identification and reduced order modelling of engineering systems  parallel algorithms and high performance computing in engineering.

Computation is a journal dedicated to computational science and engineering. The main topics include computational biology, covering but not limited to bioinformatics, mathematical modeling, simulation, and prediction of nucleic acid (DNA/RNA) and protein sequences, modeling of pathways and genetic interactions; neuroscience computation, including neural modeling, brain theory, and neural networks; computational chemistry, encompassing new theories and methodologies, including their applications in molecular dynamics, electronic structure computation, density functional theory, and computational methods for designing and characterizing materials; and computation in engineering, which includes new theories, methodologies, and applications of computational fluid dynamics (CFD), optimization techniques and their applications to multidisciplinary systems, system identification, reduced-order modeling of engineering systems, and parallel algorithms and high-performance computing in engineering.

《Computation》是一本关于计算科学与工程的期刊。主要涉及的主题包括：计算生物学，涵盖但不限于生物信息学、核酸（DNA/RNA）和蛋白质序列的数学建模、模拟与预测、通路和基因相互作用的数学建模；神经科学计算，包括神经建模、大脑理论和神经网络；计算化学，涵盖但不限于新理论和方法论及其在分子动力学中的应用、电子结构计算、密度泛函理论、材料设计与表征的计算方法；工程计算，包括但不限于新理论、方法论及计算流体动力学（CFD）的应用、优化技术及其在多学科系统中的应用、工程系统的系统识别和降阶建模、工程中的并行算法和高性能计算。

Additive Manufacturing Gyroid Structures Used as Crash Energy Management

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Journal Info

Category	Quartile
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	2