There are only a few research results for predicting the relationship between deflection and the crack mouth opening displacement (CMOD) of self-compacting concrete (SCC) beams with and without fibers. A series of bending beam tests on SCC, with different fiber types have been carried out. For this purpose, four SCC mixes-plain SCC, steel, polypropylene, and hybrid fiber reinforced SCC-are considered in the test program. Based on the experimental results, a model for predicting the relation between the deflection and CMOD of SCC has been established per each mix. These models rely on the load-deflection relation and the load-CMOD relation of bending beam. A well agreement has been found between the suggested model and the test results. The results of this study indicate that the load-deflection diagram is very similar to that of the load-CMOD diagram, and there is a linear relation between the mid-span deflection and CMOD of SCC.
SUMMARY
Considering spatial correlation of multiple earthquake intensity measures (IMs) is of particular importance in loss assessment of spatially distributed assets. This subject has been investigated in previous studies under the assumption of isotropy. Considering the fact that the assumption of isotropy is not valid in general, the present study employs a non-separable covariance model based on latent dimensions method to investigate anisotropic properties of spatial correlations and cross-correlations of intra-event residuals of multiple earthquake IMs. This method leads to the generation of valid covariance matrix in order to model anisotropic spatially distributed multivariate random fields. Two sets of IMs are considered in this study; the first set consists of peak ground intensity values (acceleration, velocity, and displacement), and the second set consists of spectral accelerations at three different periods. Data of 10 earthquake events in California and Japan are utilized in this study to estimate parameters of marginal and cross-covariance models. Moreover, parameters of covariance model of regional site condition, which is considered as average shear wave velocity of top 30 m of soil profile (Vs30), are obtained in order to investigate the effect of local sited conditions on spatial correlations of IMs. It is shown that maximum range and anisotropy ratio of covariance models of intra-event residuals of IMs are correlated with those of Vs30 values. Also, it is observed that the anisotropy direction of residuals of IMs is consistent with anisotropy direction of Vs30 values. Finally, predictive models are proposed to obtain marginal and cross-covariance functions for different earthquake IMs considering anisotropy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.