GNGTS 2013 - Atti del 32° Convegno Nazionale

The typical seismic response of Blockhaus structures, due to various geometrical and mechanical parameters, is not simple to predict. Nevertheless, the use of sophisticated numerical FE-models effectively calibrated can accurately simulate their structural behavior. Future research will include the use of the numerical approach to predict the cyclic response of Blockhaus shear walls and buildings, the estimation of the behavior factor for Blockhaus systems, and design provisions for possible inclusion in the new generation of the Eurocode 8. Aknowledgements. Rubner Haus AG SpA is gratefully acknowledged for funding the research project. Dr. Andrea Polastri (CNR IVALSA) is also acknowledged for the technical support during the experimental program. References Branco, J., Araújo, J.P. (2010). Lateral Resistance of Log Timber Walls subjected to Horizontal Loads. Proc. of WCTE 2010. Branco, J., Araújo, J.P. (2012). Structural behaviour of log timber walls under lateral in-plane loads. Engineering Structures, 40: 371-382. Hirai, T., Kimura, T., Yanaga, K., Sasaki, Y., Koizumi, A. (2004). Lateral Resistance of Log Constructions. Proc. of WCTE 2004, Volume I. Pang, S.J., Ok, J.K., Park, J.S., Park, C.Y., Lee, J.J. (2011). Moment-Carrying Capacity of Dovetailed Mortise and Tenon Joints with or without Beam Shoulder. Journal of Structural Engineering, 137(7):785-789. Simulia (2012). ABAQUS v.6.12 [Computer Software], Dassault Systems, Providence, RI, USA. Tannert, T., Lam, F., Vallée, T. (2010). Strength Prediction for Rounded dovetail Connections Considering Size Effects. Journal of Engineering Mechanics, 136(3):358-366. UNI EN 338:2009-Legno strutturale-Classi di resistenza. UNI EN 1995-1-1:2009. Eurocode 5-Design of Timber Structures-Part 1-1: General-common rules and rules for buildings. UNI EN 1998-1:2004. Eurocode 8- Design of Structures for Earthquake Resistance-Part 1: General rules, seismic actions and rules for buildings. UNI EN 12512:2006-Strutture di legno-Metodi di prova-Prove cicliche di giunti realizzati con elementi meccanici di collegamento. GPS horizontal kinematics pattern in the Italian peninsula N. Cenni 1,2 , E. Mantovani 3 , P. Baldi 2 , M. Viti 3 , D. Babbucci 3 , M. Bacchetti 2 , A. Vannucchi 3 1 Dipartimento Scienze Biologiche, Geologiche e dell’Ambiente, Università degli Studi di Bologna, Italy 2 Dipartimento di Fisica ed Astronomia, Università degli Studi di Bologna, Italy 3 Dipartimento Scienze Fisiche, della Terra e dell’Ambiente, Università degli Studi di Siena, Italy Introduction. The present horizontal kinematic pattern in the Italian peninsula is deter- mined by using more than 400 continuous GPS stations operated in the 2001-2013 time span. The relatively high density of the network, in particular in central and northern Italy, can pro- vide a detailed spatial definition of horizontal movements. This short term kinematic pattern is compared with the long-term kinematics, inferred from post-early Pleistocene deformation, in order to gain insight into possible tectonic implications. Also the present horizontal deforma- tion pattern in the crust has been deduced by an weighted least-square procedure. GPS data analysis. The daily observations of the considered GPS stations have been de- termined over the time interval 2001-2013. The data have been processed using the GAMIT software version 10.5 (Herring et al. , 2010a), adopting the distributed processing procedure (Dong et al. 1998). The network is divided into 30 sub–networks (clusters), each including at least the following six common stations: BRAS, CAGL, GRAZ, MATE, WTZR and ZIMM. The IGS precise ephemerides are included in the processing with tight constraints as the Earth Orientation Parameter (EOP). The Phase Centre Variation (PCV) absolute corrections for both ground and satellite antennas are included. Loose constraints are assigned to the daily position coordinates of stations. The temporal evolution of diurnal, semidiurnal, and terdiurnal solid earth tides are reconstructed using the IERS/IGS 2003 models, also applying pole-tide correc- tions according to the IERS standards (Herring et al. , 2010a). The ocean-loading tide effect is modeled using the FES2004 tide model produced at the Centre National d’Etudes Spatiales (Lyard et al. , 2006). The dry and wet components of the earth atmosphere produce an ‘atmos- 29 GNGTS 2013 S essione 2.1