Traffic load is identified as one of the greatest sources of uncertainty in the assessment of bridges. In recent years, simulation techniques, using measured traffic data, have been used to predict the characteristic traffic ...
We introduce a new method to simulate the physics of rare events. The method, an extension of the Temperature Accelerated Molecular Dynamics, comes in use when the collective variables introduced to characterize the rare ...
Design and assessment of highway bridge structures requires accurate prediction of the maximum load effects, i.e. shear forces and bending moments etc., which may be expected during the proposed or remaining life of the ...
Many highway bridges carry traffic in two same-direction lanes, and modeling the
traffic loading on such bridges has been the subject of numerous studies. Different
assumptions have been used to model multiple-presence ...
Dowd, Kevin; Cotter, John(University College Dublin. School of Business. Centre for Financial MarketsUniversity College Dublin. School of Business, 2007-05)
This paper examines the precision of estimators of Quantile-Based Risk Measures
(Value at Risk, Expected Shortfall, Spectral Risk Measures). It first addresses the question of how to estimate the precision of these ...
To assess the safety of an existing bridge, the loads to which it may be subject in its
lifetime are required. Statistical analysis is used to extrapolate a sample of load effect values from the simulation period to the ...
Accurate traffic loading models based on measured data are essential for the accurate assessment
of existing bridges. There are well-established methods for the Monte Carlo simulation of single lanes
of traffic, and this ...
Socioeconomic inequalities in children’s skills and capabilities begin early in life and can have detrimental effects on future success in school. The present study examines the relationships between school readiness and ...
Accurate traffic loading models based on measured weigh-in-motion (WIM) data are
essential for the accurate assessment of existing bridges. Much work has been
published on the Monte Carlo simulation of single lanes of ...
This paper proposes a new probabilistic classification algorithm using a Markov random field approach. The joint distribution of class labels is explicitly modelled using the distances between feature vectors. Intuitively, ...