Probabilistic strength prediction for double lap joints composed of pultruded GFRP profiles – Part II: Strength prediction

Experimental investigation on mechanical behavior of FRP-to-steel adhesively-bonded joint under combined loading-part 1: Before hygrothermal aging

“…The results indicated that the combination of local through-thickness tensile (peeling) and shear stresses was the most severe stress-state and usually initiated the failures in adhesive fillet and in the outer fiber-mat layers of the adherends below the joint edges. Further researches [11,12] -SB-01-03 18°angle Sand blasting 3 36°-SB-01-03 36°angle Sand blasting 3 54°-SB-01-03 54°angle Sand blasting 3 72°-SB-01-03 72°angle Sand blasting 3 background and researches on the adhesively bonded joins between FRP bridge decks and steel girders have not been documented adequately in literature. In this paper and its companion [13], the experimental study of this research project was presented, focusing on the adhesively-bonded joints between FRP sandwich decks and steel girders before and after hygrothermal aging.…”

Capacity prediction of welded timber joints

“…It has been shown on several occurrences that any attempt to predict the capacity of cemented joints composed of brittle adherends using a stress-based metric is deemed to fail, i.e., for FRP adherends (Vallée et al 2006a) and timber adherends (Tannert et al 2010a). To overcome the problematic associated with the sharp stress peaks and the brittle nature of adherends, a probabilistic dimensioning method was successfully tested against experimental data (Vallée et al 2006b;Tannert et al 2010b). The method, besides yielding accurate predictions, offers an explanation for the increased material resistance toward steep stress gradients; it has the additional benefit of relying solely on objective geometrical and mechanical parameters, excluding any empirical input.…”

Adhesively bonded joints composed of pultruded adherends: Considerations at the upper tail of the material strength statistical distribution

“…19 34.4 ± 0.6 100 mm × 10 mm 332 ± 14 1.03 ± 0.07 32.5 ± 1.3 determination of the strength of materials at extremely high probabilities of failure is almost impossible (unless huge numbers of samples would be tested), enhanced alternative methods to extrapolate the statistical data towards the upper tail have to be used. As the number of individual tests carried out to characterize material strength is usually rather small, it is often difficult to choose among similar distributions to describe statistically this data, such as, for example, normal [16], log normal, Weibull and gamma, when only considering goodness-of-fit tests [17].…”

“…Since the direct experimental Table 1 Tensile properties of adherends (from [19], average experimental values ± standard deviation).…”