Small Signal Recognition System of CFRP Strips during Low Strain Rate Tensile Testing

The Carbon Fiber Reinforced Plastic (CFRP) strip is a kind of structural reinforced material that is expected to perform as a smart self-sensing material for structural health monitoring. Due to the sensing capabilities, CFRP strips can provide real-time signals that respond to low-level strains. The signals from CFRP strips are easily influenced by the change of the external conditions. In this paper, we introduce a series of error correction methods on CFRP strips. We study errors caused by measurements and changes in temperature. An advanced signal recognition method is developed to account for measurement error and the influence of temperature. This method can yield more reasonable and convincing sensing signals from CFRP strips.