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Multiscale Mechanical Behaviors of Advanced Materials and Structures

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Mechanics of Materials".

Deadline for manuscript submissions: 20 January 2026 | Viewed by 1222

Special Issue Editor

College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China
Interests: computational mechanics; mechanical and acoustic metamaterials; machine learning and biomimetic materials

Special Issue Information

Dear Colleagues,

With the rapid development of advanced design methods and manufacturing tools, novel materials and structures are demonstrating broad application prospects. Underlying these advancements is the skillful utilization of numerical simulation methods, machine learning, and mechanical theories, necessitating in-depth research. The mechanical properties of materials change under external loads. Predicting these mechanical properties, such as crack propagation, fatigue life, plasticity, and buckling, is crucial for the utilization of materials and structures, and the underlying theories and simulations warrant further exploration. Moreover, developing theoretical and numerical models and tailoring the mechanical properties of materials are of significant value for the design of materials and structures with specific mechanical functions. This Special Issue will focus on research utilizing theoretical models, numerical methods, and other tools to predict and tailor the mechanical behavior of materials. The papers collected in this Special Issue can help researchers, engineers, and scientists find advanced mechanical analysis methods and provide ideas for the search for new materials.

Dr. Chuang Liu
Guest Editor

Manuscript Submission Information

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Keywords

  • metamaterials
  • bio-inspired materials
  • inverse design
  • machine learning
  • numerical simulation
  • composite structures
  • fatigue and fracture
  • phase field method

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Published Papers (2 papers)

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Research

20 pages, 16411 KB  
Article
Tailoring Energy Absorption of Curved-Beam Lattices Through a Data-Driven Approach
by Pengting Xiang, Xian Liu, Xiang Chen and Chuang Liu
Materials 2025, 18(23), 5377; https://doi.org/10.3390/ma18235377 - 28 Nov 2025
Viewed by 183
Abstract
Programmable mechanical metamaterials demonstrate significant potential for realizing high-performance mechanical responses, particularly in the field of energy absorption. In this study, a novel curved-beam thickness gradient lattice structure (CBTGLS) is proposed. Based on an intelligent inverse design framework integrating deep learning and genetic [...] Read more.
Programmable mechanical metamaterials demonstrate significant potential for realizing high-performance mechanical responses, particularly in the field of energy absorption. In this study, a novel curved-beam thickness gradient lattice structure (CBTGLS) is proposed. Based on an intelligent inverse design framework integrating deep learning and genetic algorithms, the beam thickness and curved-beam control points of the CBTGLS were optimized to maximize its total energy absorption (EA) and specific energy absorption (SEA). Furthermore, this research employed interpretability methods, such as Shapley Additive Explanations (SHAP) and Partial Dependence Plot (PDP), to analyze the influence mechanism of geometric parameters on energy absorption performance, aiming to enhance design efficiency and establish a clear design rationale. The results indicate that the optimized CBTGLS exhibits significant improvements in both EA and SEA. Specifically, compared to a baseline straight-beam lattice structure possessing an identical thickness gradient, SEA of the optimized CBTGLS was enhanced by 49.12%. Among the investigated parameters, beam thickness was identified as having a particularly significant impact on performance. Furthermore, it was observed that a curvature profile bending more towards the outer side of the unit cell is more beneficial for enhancing the energy absorption capabilities of the lattice structure. Full article
(This article belongs to the Special Issue Multiscale Mechanical Behaviors of Advanced Materials and Structures)
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13 pages, 3860 KB  
Article
Mechanical Performance and Energy Absorption of Ti6Al4V I-WP Lattice Metamaterials Manufactured via Selective Laser Melting
by Le Yu, Xiong Xiao, Xianyong Zhu, Jiaan Liu, Guangzhi Sun, Yanheng Xu, Song Yang, Cheng Jiang and Dongni Geng
Materials 2025, 18(19), 4626; https://doi.org/10.3390/ma18194626 - 7 Oct 2025
Viewed by 774
Abstract
Metamaterial lattice structures based on a Triply Periodic Minimal Surface (TPMS) structure have attracted much attention due to their excellent mechanical properties and energy absorption capabilities. In this study, a novel TPMS lattice metamaterial structure (IWP-X) is designed to enhance the axial mechanical [...] Read more.
Metamaterial lattice structures based on a Triply Periodic Minimal Surface (TPMS) structure have attracted much attention due to their excellent mechanical properties and energy absorption capabilities. In this study, a novel TPMS lattice metamaterial structure (IWP-X) is designed to enhance the axial mechanical properties by fusing an X-shaped plate with an IWP surface structure. A selective laser melting (SLM) machine was utilized to print the designed lattice structures with Ti6Al4V powder. The thickness of the plate and the density of the IWP are varied to explore the responsivity of the mechanical and energy absorption properties with the volume ratio of IWP-X. The finite element simulation analysis is used to effectively predict the stress distribution and fracture site of each structure in the compression test. The results show that the IWP-X structure obtains the ultimate compressive strength of 122.06% improvement, and the energy absorption of 282.03% improvement. The specific energy absorption (SEA) reaches its maximum value in the plate-to-IWP volume ratio of 0.7 to 0.8. Full article
(This article belongs to the Special Issue Multiscale Mechanical Behaviors of Advanced Materials and Structures)
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