An Efficient and Inexpensive Method for the Biological Assay of Tincture of Aconite**This paper is based on a thesis presented to the Graduate Committee of Montana State University in partial fulfillment of the requirements for the degree of Master of Science in Pharmacy.

Author(s):  
James O. Hoppe ◽  
C.E.F. Mollett
2017 ◽  
Author(s):  
Trey W. Riddle ◽  
Jared W. Nelson ◽  
Douglas S. Cairns

Abstract. Given that wind turbine blades are such large structures, the use of low-cost composite manufacturing processes and materials has been necessary for the industry to be cost competitive. Since these manufacturing methods can lead to inclusion of unwanted defects, potentially reducing blade life, the Blade Reliability Collaborative tasked the Montana State University Composites Group with assessing the effects of these defects. Utilizing the results of characterization and mechanical testing studies, probabilistic models were developed to assess the reliability of a wind blade with known defects. As such, defects were found to best be assessed as design parameters in a parametric probabilistic analysis allowing for establishment of a consistent framework to validate categorization and analysis. Monte Carlo simulations were found to adequately describe the probability of failure of composite blades with included defects. By treating defects as random variables, the approaches utilized indicate the level of conservation used in blade design may be reduced when considering fatigue. In turn, safety factors may be reduced as some of the uncertainty surrounding blade failure is reduced when analysed with application specific data. Overall, the results indicate that characterization of defects and reduction of design uncertainty is possible for wind turbine blades.


Author(s):  
Andy Hansen ◽  
Tom Oliff

A NASA-funded research team met May 19-22 at the AMK Ranch for a semi-annual team workshop. Participants included: Montana State University – Andy Hansen, Tony Chang, Regan Nelson, Nate Piekielek Woods Hole Research Center – Patrick Jantz, Scott Zolkos NPS Inventory & Monitoring Program – John Gross, Bill Monahan Great Northern LCC – Tom Olliff NASA Ames – Forrest Melton, Jun Xiong Guest – Steve Running (University of Montana) Chef – Jodi Stevens The goal of the project is to demonstrate the four steps of climate adaptation planning in two US Department of Interior Landscape Conservation Cooperatives (LCCs) using NASA and other data and models. Objectives are: 1. Hindcast and forecast future climate and land use scenarios. 2. Assess the vulnerability of ecological processes and key habitat types. 3. Evaluate management options. 4. Design and implement management adaptation strategies. 5. Facilitate decision support.


Sign in / Sign up

Export Citation Format

Share Document