Self-sensing performance and theoretical model for the interface of self-sensing engineered cementitious composites and conductive concrete under shear loading

This research aims to explore the shear behavior, self-sensing capabilities, and self-sensing model of interface between self-sensing engineered cementitious composites (ECC) and conductive concrete under shear loading. Key variables examined included the packing type of self-sensing ECC, interface roughness, and electrode placement ( L -type and O-type measurements) using the two-electrode method. The findings revealed that the packing types of self-sensing ECC were instrumental in both the shear and self-sensing properties of interface. Moreover, optimizing the filler types could notably enhance the shear and self-sensing capabilities of interface. The interfacial shear strength and interfacial resistance change rate of CS-B-L specimens are 26.43 % and 258.03 % higher than those of CG-B-L specimens, respectively. Interface roughness positively impacted its shear properties, but adversely affected self-sensing capabilities. When the interface roughness level increases from A to C, the interfacial shear strength of the CS-L specimen increases by 21.07 %. However, the change rate of the interface resistance value decreases by 63.05 %. While greater roughness improved interfacial shear strength, it concurrently reduced self-sensing performance. Furthermore, the placement of electrodes significantly influenced interface’s self-sensing performance. The L -type measurement method was more sensitive to the damage degree of interface, while the O-type measurement method was relatively weak in sensing damage degree of interface due to its different layout paths. An interface self-sensing model was developed based on the shear damage mechanism of interface between self-sensing ECC and concrete. The outcomes of this study pave the way for implementing self-sensing ECC and concrete interfaces in real-world structures (e.g., joints or repairs) for real-time damage assessment and early warning systems, thereby enhancing structural safety and reducing maintenance costs. • The feasibility of the self-sensing capabilities of the interface between self-sensing ECC and conductive concrete was studied experimentally for the first time. • This paper innovatively investigated the influence of electrode layout position on the self-sensing performance at the interface between self-sensing ECC and conductive concrete, systematically revealing the self-sensing characteristics under various electrode layout schemes. • A self-sensing theoretical model of self-sensing ECC and conductive concrete was innovatively established, which could effectively predict the relationship between interface slip and resistance change rate.

Authors

Institutions

Publication Details

Journal
Case Studies in Construction Materials
Published
2025-11-28
DOI
https://doi.org/10.1016/j.cscm.2025.e05618
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-sensing performance and theoretical model for the interface of self-sensing engineered cementitious composites and conductive concrete under shear loading

Wenwei Wang, Ruipan Wang, Guoyin Li, Jun Tian et al.
Case Studies in Construction Materials
Smart Materials for Construction
article

Self-sensing performance and theoretical model for the interface of self-sensing engineered cementitious composites and conductive concrete under shear loading

Wenwei Wang, Ruipan Wang, Guoyin Li, Jun Tian, Hao Fu, Mingyuan Liu, Zuo Yang, Jinyun Yuan, Xiaowei Wu, Wentao Yu
article en

Abstract

This research aims to explore the shear behavior, self-sensing capabilities, and self-sensing model of interface between self-sensing engineered cementitious composites (ECC) and conductive concrete under shear loading. Key variables examined included the packing type of self-sensing ECC, interface roughness, and electrode placement ( L -type and O-type measurements) using the two-electrode method. The findings revealed that the packing types of self-sensing ECC were instrumental in both the shear and self-sensing properties of interface. Moreover, optimizing the filler types could notably enhance the shear and self-sensing capabilities of interface. The interfacial shear strength and interfacial resistance change rate of CS-B-L specimens are 26.43 % and 258.03 % higher than those of CG-B-L specimens, respectively. Interface roughness positively impacted its shear properties, but adversely affected self-sensing capabilities. When the interface roughness level increases from A to C, the interfacial shear strength of the CS-L specimen increases by 21.07 %. However, the change rate of the interface resistance value decreases by 63.05 %. While greater roughness improved interfacial shear strength, it concurrently reduced self-sensing performance. Furthermore, the placement of electrodes significantly influenced interface’s self-sensing performance. The L -type measurement method was more sensitive to the damage degree of interface, while the O-type measurement method was relatively weak in sensing damage degree of interface due to its different layout paths. An interface self-sensing model was developed based on the shear damage mechanism of interface between self-sensing ECC and concrete. The outcomes of this study pave the way for implementing self-sensing ECC and concrete interfaces in real-world structures (e.g., joints or repairs) for real-time damage assessment and early warning systems, thereby enhancing structural safety and reducing maintenance costs. • The feasibility of the self-sensing capabilities of the interface between self-sensing ECC and conductive concrete was studied experimentally for the first time. • This paper innovatively investigated the influence of electrode layout position on the self-sensing performance at the interface between self-sensing ECC and conductive concrete, systematically revealing the self-sensing characteristics under various electrode layout schemes. • A self-sensing theoretical model of self-sensing ECC and conductive concrete was innovatively established, which could effectively predict the relationship between interface slip and resistance change rate.

Case Studies in Construction MaterialsVol. 23
Dongguan University of Technology (CN), Southeast University (CN)
Openalex Percentile: Top 70%
Smart Materials for Construction
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.