Abstract

This paper presents a statistical analysis of the annual extreme ground snow weights and depths measured at 12 observation spots located in heavy snow district of Japan. The analysis shows that type I, type III and normal distributions are adequate to describe the annual extreme ground snow weights and depths. There exists an obvious linear relation between the mean recurrence interval value of the extreme snow depths (H_<MRI> (cm)) and that of the extreme snow weights (W_<MRI> (kgf/m^2)) for the mean recurrence interval, MRI=10, 30, 50 and 100 years. The relationship can be seen that W_<MRI> = 3.5 H_<MRI> for three above mentioned distributions. The assessment of design snow load may be improved by using the statistical treatment of the annual extreme snow depths and the equation proposed in this paper.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.