High-temperature mechanical behavior of three-dimensional needled woven composites based on <i>in situ</i> tensile testing and micro-CT characterization

Three-dimensional needled woven composites have attracted considerable attention in aerospace applications owing to their superior mechanical performance and structural stability at elevated temperatures. To accurately assess their high-temperature mechanical behavior, systematic in situ tensile tests were conducted, and an innovative parallelepiped representative volume element model was established to enable a comprehensive numerical investigation. An image-based finite element model was developed using advanced boundary path extraction and computed tomography reconstruction techniques, which was further applied to analyze stress distribution and damage evolution under uniaxial tensile loading at 1000 °C. The results reveal that damage progression exhibits pronounced heterogeneity and directional dependence. Matrix cracking initiates at an early stage and governs the initial mechanical response, followed by a gradual transition where transverse fiber bundles become the primary load-bearing constituents, while longitudinal bundles experience progressive damage accumulation. The numerical predictions agree well with the experimental observations, confirming the reliability and predictive capability of the proposed modeling framework.

Authors

Institutions

Publication Details

Journal
AIP Advances
Published
2026-02-01
DOI
https://doi.org/10.1063/5.0317076
Primary Topic
Mechanical Behavior of Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-temperature mechanical behavior of three-dimensional needled woven composites based on in situ tensile testing and micro-CT characterization

Haowei Han, Yanjiao Li, ZhongKai Yan, Xiaofei Sun et al.
AIP Advances
Mechanical Behavior of Composites
article

High-temperature mechanical behavior of three-dimensional needled woven composites based on in situ tensile testing and micro-CT characterization

Haowei Han, Yanjiao Li, ZhongKai Yan, Xiaofei Sun, Zhaojun Zhu, Haoyu Li
article en

Abstract

Three-dimensional needled woven composites have attracted considerable attention in aerospace applications owing to their superior mechanical performance and structural stability at elevated temperatures. To accurately assess their high-temperature mechanical behavior, systematic in situ tensile tests were conducted, and an innovative parallelepiped representative volume element model was established to enable a comprehensive numerical investigation. An image-based finite element model was developed using advanced boundary path extraction and computed tomography reconstruction techniques, which was further applied to analyze stress distribution and damage evolution under uniaxial tensile loading at 1000 °C. The results reveal that damage progression exhibits pronounced heterogeneity and directional dependence. Matrix cracking initiates at an early stage and governs the initial mechanical response, followed by a gradual transition where transverse fiber bundles become the primary load-bearing constituents, while longitudinal bundles experience progressive damage accumulation. The numerical predictions agree well with the experimental observations, confirming the reliability and predictive capability of the proposed modeling framework.

AIP AdvancesVol. 16(2)
Zhengzhou University of Aeronautics (CN), PLA Rocket Force University of Engineering (CN), Institute of Refrigeration (GB)
Openalex Percentile: Top 51%
Mechanical Behavior of Composites
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.