A review of probabilistic methods of assessment of load effects in bridges
This paper reviews a range of statistical approaches to illustrate the influence of data quality
and quantity on the probabilistic modelling of traffic load effects. It also aims to demonstrate …
and quantity on the probabilistic modelling of traffic load effects. It also aims to demonstrate …
[HTML][HTML] A review of recent research advances on structural health monitoring in Western Australia
Abstract Structural Health Monitoring (SHM) has been attracting numerous research efforts
around the world because it targets at monitoring structural conditions and performance to …
around the world because it targets at monitoring structural conditions and performance to …
Mixed Skewness Probability Modeling and Extreme Value Predicting for Physical System Input/Output Based on Full Bayesian Generalized Maximum-Likelihood …
X Zhang, Y Ding, H Zhao, L Yi, T Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic parameterization of the statistical characteristics of structural systems' measured
input and output data is an important task for the digital twin modeling and intelligent risk …
input and output data is an important task for the digital twin modeling and intelligent risk …
Monte Carlo simulation of extreme traffic loading on short and medium span bridges
The accurate estimation of site-specific lifetime extreme traffic load effects is an important
element in the cost-effective assessment of bridges. A common approach is to use statistical …
element in the cost-effective assessment of bridges. A common approach is to use statistical …
Automatic generation of fine‐grained traffic load spectrum via fusion of weigh‐in‐motion and vehicle spatial–temporal information
Obtaining accurate traffic loads is crucial for the assessment of bridges. The traffic load
obtained by the current method is insufficient for the refined analysis of bridge structures …
obtained by the current method is insufficient for the refined analysis of bridge structures …
An extreme value prediction method based on clustering algorithm
B Dai, Y **_model/links/63462f449cb4fe44f31db36d/Long-term-bridge-performance-assessment-using-clustering-and-Bayesian-linear-regression-for-vehicle-load-and-strain-map**-model.pdf" data-clk="hl=en&sa=T&oi=gga&ct=gga&cd=7&d=14946695241123808186&ei=YZGlZ9jBCdaIieoPwLqK0QU" data-clk-atid="usM0fSFUbc8J" target="_blank">[PDF] researchgate.net
Long‐term bridge performance assessment using clustering and Bayesian linear regression for vehicle load and strain map** model
X Zhang, Y Ding, H Zhao, L Yi - Structural Control and Health …, 2022 - Wiley Online Library
The weigh‐in‐motion (WIM) system and the structural health monitoring (SHM) system have
been used as two separate modules playing different roles in bridge operation and …
been used as two separate modules playing different roles in bridge operation and …
A comprehensive probabilistic model of traffic loads based on weigh-in-motion data for applications to bridge structures
In various efforts to assure safety and serviceability of a bridge structure throughout its
lifetime, it is essential to accurately estimate the traffic load effects. Although traffic loads …
lifetime, it is essential to accurately estimate the traffic load effects. Although traffic loads …
Importance of the tail in truck weight modeling for bridge assessment
To predict characteristic extreme traffic load effects, simulations are sometimes performed of
bridge loading events. To generalize the truck weight data, statistical distributions are fitted …
bridge loading events. To generalize the truck weight data, statistical distributions are fitted …