Dynamic compression of sinusoidal plate lattices: Energy absorption and failure characteristics

• Sinusoidal feature promotes distributed plasticity and suppresses localised failure. • Dynamic loading increases failure severity and strength compared to quasi-static. • Strain-rate sensitivity increases most in sinusoidal FCC lattices. • In flat BCC lattices, plates aligned with the load fail by mid-span bending. • Angled plates in flat FCC predominantly fail by rotation and shear deformation. Plate-based lattices have emerged as promising candidates for lightweight structural and energy-absorbing applications; however, the latter remain largely underexplored. This study investigates the quasi-static and dynamic compressive behaviour of BCC and FCC plate lattices featuring a novel sinusoidal plate geometry. Lattices were additively manufactured in ABS and tested across strain rates from 0.001 to 43.5 s −1 . The sinusoidal geometry promoted stable deformation by suppressing localised failure in both plate lattices, albeit with reduced stiffness and strength. Compared to BCC, sinusoidal FCC lattices exhibited pronounced strain-rate strengthening, likely owing to the increased strain-rate sensitivity of bulk ABS under shear loading. A Cowper–Symonds plasticity model provided robust dynamic strength predictions across strain rates. These findings underscore the potential of sinusoidal plate lattices for tailored energy absorption and deformation control in additively manufactured structures.

Authors

Institutions

Publication Details

Journal
Materials & Design
Published
2025-10-23
DOI
https://doi.org/10.1016/j.matdes.2025.114976
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic compression of sinusoidal plate lattices: Energy absorption and failure characteristics

Ajit Panesar, Piyapat Jameekornkul
Materials & Design
Cellular and Composite Structures
article

Dynamic compression of sinusoidal plate lattices: Energy absorption and failure characteristics

Ajit Panesar, Piyapat Jameekornkul
article en

Abstract

• Sinusoidal feature promotes distributed plasticity and suppresses localised failure. • Dynamic loading increases failure severity and strength compared to quasi-static. • Strain-rate sensitivity increases most in sinusoidal FCC lattices. • In flat BCC lattices, plates aligned with the load fail by mid-span bending. • Angled plates in flat FCC predominantly fail by rotation and shear deformation. Plate-based lattices have emerged as promising candidates for lightweight structural and energy-absorbing applications; however, the latter remain largely underexplored. This study investigates the quasi-static and dynamic compressive behaviour of BCC and FCC plate lattices featuring a novel sinusoidal plate geometry. Lattices were additively manufactured in ABS and tested across strain rates from 0.001 to 43.5 s −1 . The sinusoidal geometry promoted stable deformation by suppressing localised failure in both plate lattices, albeit with reduced stiffness and strength. Compared to BCC, sinusoidal FCC lattices exhibited pronounced strain-rate strengthening, likely owing to the increased strain-rate sensitivity of bulk ABS under shear loading. A Cowper–Symonds plasticity model provided robust dynamic strength predictions across strain rates. These findings underscore the potential of sinusoidal plate lattices for tailored energy absorption and deformation control in additively manufactured structures.

Materials & DesignVol. 260
Vaughn College of Aeronautics and Technology (US)
Openalex Percentile: Top 69%
Cellular and Composite Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.