A model specification for FRP composites for civil engineering structures

Service life modelling of fibre composites: A unified approach

“…Also given are two measures of the fit of the data: the correlation coefficient of the Arrhenius plot (r 2 ) and the root-mean-square error of the individual model predictions with respect to the actual measured value of S at any given time, effectively the coefficient of variation (COV) of S. Perhaps the most striking aspect is the generally extremely high values of r 2 associated with the Arrhenius plots; always P0.95 and in most cases >0.99. Contrast this with the assertion by Bank [31] that any value over 0.8 is 'valid' (implying that many values Table 2 Model fit results for all data sets Designation ÀE k /kJ mol À1 (r 2 ), k 0 /day À1 (COV) ÀE d /kJ mol À1 (r 2 ), k 0 /day À1 , (COV) ÀE n /kJ mol À1 (r 2 ), k 0 /day À1 (COV) n Cross-ply E-glass/epoxy laminates VT1 120 derived using other modelling procedures are a good deal less robust). The error in predicting the mean value of S is also relatively low, $1-2% in most cases, indicating that the model is the 'right shape' (note that the typical COV for a single strength data point is >5% for most GRP data sets and >10% for most GRC data sets).…”

Long-term bending performance and service life prediction of pultruded Glass Fibre Reinforced Polymer composites

“…An Arrhenius related methodology [11] has been used to predict the long-term behaviour of three commercially available pultruded GFRP plates adopted as cladding in have been considered as measurement of the materials ageing and, by defining a performance related threshold, it has been possible to estimate the expected service life of the three materials composition. A comparison of the mechanical performance of the composites immersed in water, with data collected through natural ageing [12] has been also proposed to compare the magnitude of the imparted degrade in water with that in a semi-continental natural environment.…”

Effect of Hot-Wet Aging on the Pin-Bearing Strength of a Pultruded Material with Polyester Matrix

“…is the same at the elevated aging temperature as at the mean service temperature, and that a single mechanism controls the degradation process throughout (BS EN ISO 2578Bank et al 2003).…”

“…These researchers used their study to conclude that the affect of temperature is the most important aging factor, with time and/or sustained loading of secondary importance. Bank et al (2003) outlines a material specification with Procedure B for the determination of long-term properties for material qualification. Their accelerated testing has the maximum aging temperature taken to be 0.8 of the (nominal) glass transition temperature (T g ) that can be based on data provided by Chateauminois et al (1995).…”