Published: Dec. 11, 2023
Premature failure and degradation of layers are the main problems for transportation infrastruc-ture. Addressing these issues necessitates implementing structural health monitoring (SHM) layers. This strategic approach is instrumental in mitigating maintenance expenses, prolonging operational lifespan, preventing accidents resulting from abrupt layer col-lapse. To this end, research investigated stress/strain damage detection capabilities a self-sensing cementitious composite developed potential utilization construction an intelligent subgrade layer. The prepared consisted 10% cement hybrid conductive fillers, including multiwalled carbon nanotubes (MWCNTs) graphene nanoplatelets (GNPs) sand. Initial findings reveal that electrical resistivity significantly affected by concentration MWCNTs/GNPs, with minimum more than 0.5% needed to achieve responsive composite. More-over, piezoresistive analysis indicates increase MWCNTs/GNPs stress levels leads improvement sensing perfor-mance. When subjected equivalent levels, variations FCR exhibit increasing trend decreasing resilient modulus, stemming decrease stiffness due increased MWCNTs/GNPs. Additionally, EIS demonstrates contraction Nyquist curves under compressive ramp loading prior failure, followed expansion postfailure. Scanning electron microscopy (SEM) images visually showcase bridging effects MWCNTs filling ef-fects GNPs within structure.
Language: Английский