Results 111 to 120 of about 12,266 (147)
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Cold Regions Science and Technology, 2018
Abstract An appropriate probabilistic description of snow loads is important in reliability analysis. Probability distributions for annual maximum ground snow loads are studied in detail in this paper based on the samples of snow loads on the ground, which are simulated by a snowmelt model.
Xuanyi Zhou
exaly +2 more sources
Abstract An appropriate probabilistic description of snow loads is important in reliability analysis. Probability distributions for annual maximum ground snow loads are studied in detail in this paper based on the samples of snow loads on the ground, which are simulated by a snowmelt model.
Xuanyi Zhou
exaly +2 more sources
Structural Engineering International: Journal of the International Association for Bridge and Structural Engineering (IABSE), 2018
This paper addresses the optimisation of monitoring and decision-making criteria regarding the future use of structures.
Dimitris Diamantidis, Miroslav Sýkora
exaly +2 more sources
This paper addresses the optimisation of monitoring and decision-making criteria regarding the future use of structures.
Dimitris Diamantidis, Miroslav Sýkora
exaly +2 more sources
Engineering Structures, 2005
Abstract Performance-based engineering is a new paradigm in structural design for natural hazards. In this paper, the authors explore the problem of estimating regional variations in fractiles of snow load used for design purposes from a limited number of discrete observing stations. The reliability implications of such estimates are examined for the
Bruce R. Ellingwood, Toru Takahashi
exaly +2 more sources
Abstract Performance-based engineering is a new paradigm in structural design for natural hazards. In this paper, the authors explore the problem of estimating regional variations in fractiles of snow load used for design purposes from a limited number of discrete observing stations. The reliability implications of such estimates are examined for the
Bruce R. Ellingwood, Toru Takahashi
exaly +2 more sources
International Journal of Reliability and Safety, 2018
Observations are inevitably contaminated with measurement uncertainty, which is a predominant source of uncertainty in some cases. In present practice probabilistic models are typically fitted to measurements without proper consideration of this uncertainty.
Miroslav Sýkora
exaly +3 more sources
Observations are inevitably contaminated with measurement uncertainty, which is a predominant source of uncertainty in some cases. In present practice probabilistic models are typically fitted to measurements without proper consideration of this uncertainty.
Miroslav Sýkora
exaly +3 more sources
Reliability of sampling designs for spatial snow surveys
Computers & Geosciences, 2007Spatial patterns are an inherent property of most naturally occurring materials at a large range of scales. To describe spatial patterns in the field, several observations are made according to a certain sampling design. The spatial structure can be described by the semivariogram range, and nugget and sill variances. We test how reliably seven sampling
Kalle Kronholm, Karl W. Birkeland
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Buckling and Reliability Analysis of Single Layer Grid Dome With Diagonal Brace Under Snow Load
Journal of the International Association for Shell and Spatial Structures, 2017Shiro Kato
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Failures of Roofs under Snow Load: Causes and Reliability Analysis
Forensic Engineering 2009, 2009Collapses of a number of roofs in Europe during the winter 2005/2006 initiated discussions concerning reliability of the roofs exposed to snow loads. Presented overview of extensive investigations of structural failures is focused on causes and consequences of failures.
M. Holicky, Miroslav Sykora
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Effect of Statistical Uncertainties in Ground Snow Load on Structural Reliability
IABSE Reports, 2015<p>This paper studies the effect of commonly neglected statistical uncertainties on structural reliability. The failure probability of a generic structural member, subjected to snow load is analysed using frequentist and Bayesian techniques to quantify parameter estimation and model selection uncertainties in ground snow load. Various variable to
Árpád Rózsás, Miroslav Sýkora
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Is the extreme snow depth record for nordland, norway reliable?
Geografiska Annaler: Series A, Physical Geography, 2016A snow depth of 370 cm at Dunderlandsdalen in winter 1919–20 is the largest recorded at stations in Nordland, Norway. During the period 1895–1924, the average maximum annual value there was 150.4 cm; at other stations it ranged from 38.5 to 190.1 cm. The ratio of maxima at other stations to that at Dunderlandsdalen was particularly low in 1919–20.
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