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Brown, S.R.; Hardy, R.D.
Sandia National Labs., Albuquerque, NM (United States). Funding organisation: USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)1994
Sandia National Labs., Albuquerque, NM (United States). Funding organisation: USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)1994
AbstractAbstract
[en] Prediction of the deformation behavior of large engineering structures in jointed rock under a specified loading history requires the extensive use of numerical simulation. For example, the evaluation of the stability of the openings for the Exploratory Studies Facility and a potential repository for high-level nuclear waste at Yucca Mountain, Nevada will require computer codes capable of predicting slip on rock joints resulting from changes in thermal stresses. The testing and ultimate validation of these complex finite element computer codes is an important step in their development before their use as a design tool for an engineering structure or for the study of some other practical problem. While field tests may be ultimately necessary, the authors propose a different and more thorough approach where early tests are done on a bench scale with easily characterized materials and geometries. For these bench-scale tests, the basic approach is to construct a laboratory specimen with a known geometry from an easily characterized material. Digital video imaging combined with the geometric moire fringe method of strain analysis is used to measure and derive the displacements on the sample under load. Here the authors present the method of acquiring and analyzing the moire data and give an analysis of its problems and benefits
Original Title
Data analysis (hilbdisp.m) and video image processing (GRAB) source codes are included
Primary Subject
Secondary Subject
Source
Aug 1994; 57 p; CONTRACT AC04-94AL85000; Also available from OSTI as DE95001114; NTIS; US Govt. Printing Office Dep
Record Type
Report
Literature Type
Software; Numerical Data
Report Number
Country of publication
Reference NumberReference Number
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