Critical review of data-driven decision-making in bridge operation and maintenance
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
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 …
Prediction of bridge maximum load effects under growing traffic using non-stationary bayesian method
The past decades have witnessed a considerable growth of road traffic as result of economic
developments and technological advances. The prediction of the maximum bridge traffic …
developments and technological advances. The prediction of the maximum bridge traffic …
Prediction of long-term extreme response due to non-Gaussian wind on a HSR cable-stayed bridge by a hybrid approach
Z Xu, G Dai, YF Chen, H Rao - Journal of Wind Engineering and Industrial …, 2022 - Elsevier
The effect of non-Gaussian inflows on structural long-term extreme buffeting responses has
been little investigated. In this study, the sensitivity of long-term extreme value distribution …
been little investigated. In this study, the sensitivity of long-term extreme value distribution …
Bayesian updates for an extreme value distribution model of bridge traffic load effect based on SHM data
X Gao, G Duan, C Lan - Sustainability, 2021 - mdpi.com
As the distribution function of traffic load effect on bridge structures has always been
unknown or very complicated, a probability model of extreme traffic load effect during service …
unknown or very complicated, a probability model of extreme traffic load effect during service …
Prediction of extreme traffic load effects of bridges using Bayesian method and application to bridge condition assessment
Due to the aging of transportation infrastructures and the ever-increasing traffic, the
condition assessment of bridges has become increasingly important because it provides …
condition assessment of bridges has become increasingly important because it provides …
Peak value estimation for wind-induced lateral accelerations in a high-rise building
F Rizzo, M Huang - Structure and Infrastructure Engineering, 2022 - Taylor & Francis
This paper discusses the uncertainty when estimating extreme values of wind-induced
lateral accelerations in a high-rise building based on wind-tunnel measurements. The …
lateral accelerations in a high-rise building based on wind-tunnel measurements. The …
基于长期监测的车辆荷载效应时变极值预测.
焦美菊, 郝建名, 陈露丹… - Journal of Zhengzhou …, 2023 - search.ebscohost.com
为建立准确合理的车辆荷载效应极值的概率模型, 基于现有的车辆荷载效应极值理论和极值模型
, 提出一种新的预测模型———区组超阈值模型. 首先, 采用阈值模型, 充分利用已有的监测信息 …
, 提出一种新的预测模型———区组超阈值模型. 首先, 采用阈值模型, 充分利用已有的监测信息 …
[PDF][PDF] A minimax approach to mapping partial interval uncertainties into point estimates
V Romanuke - Journal of Mathematics and Applications, 2019 - journals.prz.edu.pl
A problem of simultaneously reducing a group of interval uncertainties is considered. The
intervals are positively normalized. There is a constraint, by which the sum of any point …
intervals are positively normalized. There is a constraint, by which the sum of any point …
Statistics of wind-induced vibrations for a flexible roof
The wind-induced vibration of flexible structures is an important topic in the field of wind
engineering in terms of human comfort and safety and of global instability of cable …
engineering in terms of human comfort and safety and of global instability of cable …