应开云(中国)官方焦玉勇院长、唐志成博士邀请，国际著名岩石力学专家意大利都灵理工大学Giovanni Barla教授来校进行学术交流。
报告时间：2017年11月20日下午3:30-5:00
报 告 人：Prof. Giovanni Barla
报告题目：Monitoring and modelling of tunnels and caverns
报告地点：八角楼
报告人简介：
Giovanni Barla, former Professor of Rock Mechanics at Politecnico di Torino up to 31 October 2012, has been vice-president of the School of Engineering and head of the Department of Structural and Geotechnical Engineering from 2003 to 2011.
He has been president of the Italian Geotechnical Association (AGI) and vice-president for Europe of ISRM. Giovanni Barla is editor of the Rock Mechanics and Rock Engineering Journal. He is an active international consultant.
Giovanni Barla received the ISRM Fellow nomination in 2012, the IACMAG award for outstanding contributions in 2014, and the Emeritus Membership of AGI in 2015. He is Honorary Professor of Chongqing University. He is member elected of the Torino Academy of Science.
报告内容简介：
The lecture starts with a brief review of the analytical and numerical methods used for tunnel and underground excavations design in rock engineering, with the rock mass being a continuum, a discontinuum, or a continuum/discontinuum. Then, three case-studies are described: (1) The Aica-Mules Pilot Tunnel, which is part of the Brenner Base Tunnel, the main infrastructure to be built along the railway corridor between Munich (Germany) and Verona (Italy). (2) The Venaus Powerhouse cavern, a component of the Pont-Ventoux Susa hydroelectric scheme (in Northern Italy), in service since 2010. (3) The Rogun cavern complex, under construction in Tajikistan, with attention paid to a portion of the machine hall located in a slightly weathered siltstone.
In all cases, an overall view of the main components for analysis and design in rock mechanics and rock engineering is given. This includes the geological model, the ground behavior model, and the geotechnical model. The role of rock mass characterization, monitoring and modelling is addressed. With examples taken from practice, the need is underlined, when using monitoring and modelling, to demonstrate that models reflect the observed in situ behavior and rock mass response realistically. The case studies, based on specific examples, show that at the design stage our duty is to perform calculations based on rigorous geological and rock mass input data.
