Seismic performance of X-shaped braced composite wall panels under the background of digital image correlation and IoT-based monitoring

Abstract In the context of Industry 4.0 and the rapid development of intelligent construction technologies, advanced digital monitoring methods such as Digital Image Correlation (DIC) and IoT-based sensing are increasingly used to support refined structural performance evaluation. Against this technological background, this study investigates the seismic performance of an X-shaped braced composite wall panel designed within an integrated prefabricated construction framework and with an emphasis on green building materials. Quasi-static tests were conducted to examine the deformation characteristics, failure mechanisms, and load-transfer behavior resulting from the coordinated action of the prefabricated inner and outer frames with the X-shaped steel brace. DIC and IoT sensors were used as auxiliary tools to enhance the observation of global and local deformation, although the primary focus of the research remained on the mechanical behavior of the proposed wall panel. The comparison between DIC measurements, IoT sensor data, and experimentally observed failure patterns confirmed the rationality of the internal force flow and the progressive damage process. The results indicate that the composite wall panel exhibits improved Displacement capacity, deformation capability, and seismic energy dissipation, demonstrating its potential for application in resilient and sustainable prefabricated building systems.

Authors

Publication Details

Journal
Discover Applied Sciences
Published
2026-01-22
DOI
https://doi.org/10.1007/s42452-026-08255-3
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seismic performance of X-shaped braced composite wall panels under the background of digital image correlation and IoT-based monitoring

Ziwei Luo, Lanlan Qin
Discover Applied Sciences
Structural Health Monitoring Techniques
article

Seismic performance of X-shaped braced composite wall panels under the background of digital image correlation and IoT-based monitoring

Ziwei Luo, Lanlan Qin
article en

Abstract

Abstract In the context of Industry 4.0 and the rapid development of intelligent construction technologies, advanced digital monitoring methods such as Digital Image Correlation (DIC) and IoT-based sensing are increasingly used to support refined structural performance evaluation. Against this technological background, this study investigates the seismic performance of an X-shaped braced composite wall panel designed within an integrated prefabricated construction framework and with an emphasis on green building materials. Quasi-static tests were conducted to examine the deformation characteristics, failure mechanisms, and load-transfer behavior resulting from the coordinated action of the prefabricated inner and outer frames with the X-shaped steel brace. DIC and IoT sensors were used as auxiliary tools to enhance the observation of global and local deformation, although the primary focus of the research remained on the mechanical behavior of the proposed wall panel. The comparison between DIC measurements, IoT sensor data, and experimentally observed failure patterns confirmed the rationality of the internal force flow and the progressive damage process. The results indicate that the composite wall panel exhibits improved Displacement capacity, deformation capability, and seismic energy dissipation, demonstrating its potential for application in resilient and sustainable prefabricated building systems.

Discover Applied SciencesVol. 8(3)
Sustainable cities and communities
Openalex Percentile: Top 79%
Structural Health Monitoring Techniques
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.