Results 11 to 20 of about 139,348 (340)
Advanced Engineering Materials, EarlyView., 2023 The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi +3 more
wiley +1 more source
Creep Characterization of Inconel 718 Lattice Metamaterials Manufactured by Laser Powder Bed Fusion
Advanced Engineering Materials, EarlyView., 2023 Herein, the creep characteristics of additively manufactured Inconel 718 metamaterials are investigated. The creep behavior of metamaterials and the effects of microstructural defects are assessed, and the microstructure defects are accurately captured using Kachanov's creep damage model.
Akash Singh Bhuwal +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView., 2023 This study aims to explore the feasibility of using a structure inspired by the features of horsetail and human spine as the potential helmet liner, targeting at mitigation of acceleration‐induced injuries. A parametric study is conducted to investigate the effect of individual geometrical variables in the design, indicating its capability to reduce ...
Bing Leng +3 more
wiley +1 more source
Flexural Behavior of Bidirectionally Graded Lattice
Advanced Engineering Materials, EarlyView., 2023 An experimental study of the bending behavior of bidirectional body‐centered cubic lattice beams is conducted in comparison to uniform and unidirectional counterparts of electron beam melted SS 316 L. Experimental results are used to develop and validate a finite element model which is subsequently used to conduct parametric studies to assess the ...
Chamini Rodrigo +4 more
wiley +1 more source
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Advanced Engineering Materials, EarlyView., 2023 Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis +3 more
wiley +1 more source
The mechanical properties of biodegradable modified polymer packaging
Analecta, 2023 In this research, a lactic acid-based biodegradable polymer (polylactic acid, PLA) was chemically modified and the mechanical material property changes were studied.
Pál Patrik Dézsi +3 more
doaj +1 more source
CSG Elastic Modulus Model Prediction Considering Meso-components and its Effect
Science and Engineering of Composite Materials, 2020 Cemented sand gravel (CSG) is different from ordinary concrete in its mechanical properties such as elastic modulus due to the non-sieving of aggregate.
Guo Lixia +5 more
doaj +1 more source
Combined Effect of Silica Fume and Steel Fiber on Modulus of Elasticity of High Performance Concrete [PDF]
Engineering and Technology Journal, 2015 Concrete elastic modulus is a basic property required for the appropriatepredicting of its basic behavior and for its correct implementation in a variety ofconstructional and engineering applications.
Muntadher J. Taher +2 more
doaj +1 more source
Elastic Modulus Prediction Model of Foamed Concrete Based on the Walsh Formula
Applied Sciences, 2022 Foamed concrete consists of cement matrix and air-foam and has more complicated structure characteristics than normal concrete. However, current research on the elastic modulus of foamed concrete is still limited to empirical equations.
Zhong Zhou +4 more
doaj +1 more source
Accelerating inverse crystal structure prediction by machine learning: a case study of carbon allotropes [PDF]
Frontiers of Physics, 2020, 2020 Based on structure prediction method, the machine learning method is used instead of the density function theory (DFT) method to predict the material properties, thereby accelerating the material search process. In this paper, we established a data set of carbon materials by high-throughput calculation with available carbon structures obtained from the
arxiv +1 more source