Modelling and LiDAR Survey Carried Out for Identifying Risks for the Tunnel & Cavern of Luhri Hydroelectric Project, of SJVN, Himachal Pradesh, India
A technically sound Geotechnical site investigation programme is an essential ingredient in obtaining tentative cost for construction for surface and sub surface. The investigation programme are designed not only be optimal in design for particular conditions at the site, but sensitive in refining scope of traditional data and interpretation in order to take full advantage of new cost reducing construction methods, equipments concepts in project design and force risks before construction stage of the project. The adequacy of site investigation cannot be measured by cost alone, but the ultimate goal is to be determine with reasonable accuracy the nature of sub surface formations and how they will react or behave during tunneling, excavation for foundation etc. comes at highly variable costs depend on state of prior construction knowledge in the area as well as geological complexity of the proposed site. At least knowledge skills necessary to achieve a sound and through geotechnical investigation are not possessed by all investigators. Therefore the users i.e. owner, designer, contractor of the geotechnical/investigation data should be responsible for evaluating the investigation capability to conduct and effective exploration programme and to know when special skills or additional knowledge may be needed. Experience has shown that the best way to define and allocate the risks is by establishing a baseline of geological and geotechnical data which interpreted in best possible way so that this data (interpreted) is presented to all the bidding contractors. Authors are going to present above facts by discussing results of the various studies carried out for the upcoming 601MW Luhri Hydroelectric project of SJVN, proposed o be constructed on river satluj as run of the river scheme, in the form of LiDAR survey for 38 km long Head Race Tunnel and Numerical Modeling of the proposed underground power house and their by identifying ricks to be encountered during the construction stage of the project.
LiDAR Modeling
Akshay Acharya Kuldeep Sharma Sunil Singh Arvind Mahajan A.K. Chaddha R.N Misra
Luhri Hydroelectric Project, SJVN, Himachal Pradesh, India Corporate office SJVN Shimla, Himachal Pradesh, India
国际会议
西安
英文
136-151
2016-05-25（万方平台首次上网日期，不代表论文的发表时间）