6 research outputs found
Effects of Thermal Variations on the Tensile Behavior of FRCM Strengthening Systems
Use of fabric-reinforced cementitious matrices (FRCM) is a very efficient strengthening solution for improving the structural behavior of existing masonry elements. FRCM are capable of improving the load-bearing capacity of masonry panels, at the same time providing more ductile behavior. However, the mechanical performances of these materials could be significantly affected by environmental conditions, such as exposure to thermal variations. This aspect should be properly assessed by guidelines and standards devoted to the design of strengthening interventions. Within this framework, the objective of the present research was to evaluate the effect of a temperature increase on the tensile behavior of various FRCM systems, composed of steel, basalt, or aramid-glass fibers and lime-based or cement-based mortar matrices. Tensile tests were performed for each system under different thermal conditioning protocols, comprising different target temperatures, exposure periods, test conditions, and adopted heating sources. The test results showed that the effect of temperature is more evident in the first phases of the tensile tests, that is, during the uncracked phase and the mortar matrix cracking phase, whereas it is less significant in the final phase, which was more related to fiber behavior. Comparisons between the different thermal conditioning procedures are critically discussed within the paper and, in light of the results obtained, recommendations are included to optimize the testing procedures for future research and qualification procedures
Computational Modeling of Silicate Glasses: A Quantitative Structure-Property Relationship Perspective
This article reviews the present state of Quantitative Structure-Property
Relationships (QSPR) in glass design and gives an outlook into future developments.
First an overview is given of the statistical methodology, with particular emphasis
to the integration of QSPR with molecular dynamics simulations to derive informative
structural descriptors. Then, the potentiality of this approach as a tool for
interpretative and predictive purposes is highlighted by a number of recent inspiring
applications