scholarly journals Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yang Ding ◽  
Jing-liang Dong ◽  
Tong-lin Yang ◽  
Zhong-ping Wang ◽  
Shuang-xi Zhou ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Evaluation Model ◽  
Bayes Theorem ◽  
Damage Evaluation ◽  
Mcmc Method ◽  
Initial Value ◽  
Long Span ◽  
Long Span Bridge ◽  
Proposed Model ◽  
Analytical Expressions

With the increase of the long-span bridge, the damage of the long-span bridge hanger has attracted more and more attention. Nowadays, the probability statistics method based on Bayes’ theorem is widely used for evaluating the damage of bridge, that is, Bayesian inference. In this study, the damage evaluation model of bridge hanger is established based on Bayesian inference. For the damage evaluation model, the analytical expressions for calculating the weights by finite mixture (FM) method are derived. In order to solve the complex analytical expressions in damage evaluation model, the Metropolis-Hastings (MH) sampling of Markov chain Monte Carlo (MCMC) method was used. Three case studies are adopted to demonstrate the effect of the initial value and the applicability of the proposed model. The result suggests that the proposed model can evaluate the damage of the bridge hanger.

scholarly journals Failure Evaluation of Bridge Deck Based on Parallel Connection Bayesian Network: Analytical Model

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1411
Author(s):  
Yang Ding ◽  
Jingliang Dong ◽  
Tonglin Yang ◽  
Shuangxi Zhou ◽  
Yongqi Wei
Keyword(s):  
Bayesian Network ◽  
Fatigue Failure ◽  
Bridge Deck ◽  
Evaluation Model ◽  
System Level ◽  
Fatigue Reliability ◽  
Long Span Bridges ◽  
Long Span ◽  
Proposed Model ◽  
Analytical Expressions

Failure is a major element that causes deterioration, which in turn affects the serviceability of long span bridges. Currently, the Bayesian network, which relates to probability statistics, is widely used for evaluating fatigue failure reliability. In particular, Bayesian network can not only calculate the fatigue failure at the system level, but also deduce the fatigue failure at the weld level. In this study, a system-level fatigue reliability evaluation model of a bridge deck (BD), which is seen as a parallel system, is proposed based on the Bayesian network. A fatigue probability reliability model of the BD was derived using the master S-N curve. In addition, the Monte Carlo (MC) method was applied to solve the multi-dimensional and complex analytical expressions in the Bayesian network. The applicability of the proposed model was demonstrated by three numerical case studies.

scholarly journals Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yang Yang ◽  
Lin Yang ◽  
Bo Wu ◽  
Gang Yao ◽  
Hang Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Traffic Control ◽  
Evaluation Model ◽  
Wind Tunnel Test ◽  
Safety Evaluation ◽  
Batch Size ◽  
Vehicle Safety ◽  
Long Span ◽  
Long Span Bridge ◽  
Fully Connected

The safety condition of vehicles passing on long-span bridges has attracted more and more attention in recent years. Many research studies have been done to find convenience and efficiency measures. A vehicle safety evaluation model passing on a long-span bridge is presented in this paper based on fully connected neural network (FCN). The first step is to investigate the long-span bridge responses with wind excitation by using the wind tunnel test and finite element model. Subsequently, typical vehicle models are given and a vehicle-bridge system is established by considering weather conditions. Accident types of vehicles with severe weather are estimated. In particular, the input and output variables of the vehicle safety evaluation model are determined, and simultaneously training, validation, and testing data are achieved. Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method. It is found that the 4-15-15-4 model occupies a preferable prediction performance, and it can provide a kind of utility for traffic control and reduce the probability of vehicle accidents on the bridge.

Incorporation of Stress Time Dependence into Failure Projection Modeling of Corroding Bridge Post-Tensioning Tendons

CORROSION ◽  
10.5006/3607 ◽  
2020 ◽  
Vol 76 (11) ◽  
pp. 1088-1091
Author(s):  
William H. Hartt ◽  
Teddy S. Theryo
Keyword(s):  
Time Dependence ◽  
Analytical Modeling ◽  
Initial Value ◽  
Long Span ◽  
Long Span Bridge ◽  
Bridge Structures ◽  
Post Tensioning ◽  
Wire Strand ◽  
Creep And Shrinkage

Post-tensioning (PT) has evolved to become an important technology for designing long span bridge structures. However, tendon failures resulting from wire/strand corrosion have been reported as early as 2 y post construction. In response to this, a recent study introduced and evaluated an analytical modeling approach that projects corrosion-induced wire and strand fractures and tendon failures, given statistics that characterize wire corrosion rate. This past modeling effort assumed that tensile stress in tendons was constant with time at 63% of the guaranteed ultimate tensile strength (GUTS); however, in actuality this stress decreases with time over an assumed 10,000 d (approximately 27 y) from an initial value of about 70% of GUTS to a long-term value in the range 60% to 63% of ultimate at mid-span for a simply supported beam as a consequence of long-term concrete creep and shrinkage and strand relaxation. The present study builds upon this model by incorporating this time dependence of tendon stress into the failure projection modeling. Results are discussed within the context of better understanding bridge tendon integrity issues and corrosion related failure concerns.

Handling and Shipping of Long Span Bridge Beams

PCI Journal ◽  
1987 ◽  
Vol 32 (6) ◽  
pp. 86-101 ◽  
Author(s):  
George Laszlo ◽  
Richard R. Imper
Keyword(s):  
Long Span ◽  
Long Span Bridge ◽  
Bridge Beams

scholarly journals Test Research on Toughness Evaluation of Long-span Bridge Welded Joint

2021 ◽  
Vol 787 (1) ◽  
pp. 012192
Author(s):  
Changqing Wu ◽  
Qiming Yu ◽  
Botao Zhu ◽  
Huangyi Ling ◽  
Jiaqi Zheng ◽  
...  
Keyword(s):  
Welded Joint ◽  
Long Span ◽  
Long Span Bridge ◽  
Toughness Evaluation

scholarly journals Research on the Evaluation Model of Urban Tourism Management Efficiency with Uncertain Linguistic Information

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Song-Mao Wang ◽  
Liang-Yan Fang ◽  
Feng Deng
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Multiple Attribute Decision Making ◽  
Urban Tourism ◽  
Weighted Averaging ◽  
Linguistic Information ◽  
Management Efficiency ◽  
Tourism Management ◽  
Proposed Model ◽  
Multiple Attribute

We investigate the multiple attribute decision making problems for evaluating the urban tourism management efficiency with uncertain linguistic information. We utilize the uncertain linguistic weighted averaging (ULWA) operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives and, then rank the alternatives and select the most desirable one(s). Finally, a numerical example for evaluating the urban tourism management efficiency with uncertain linguistic information is used to illustrate the proposed model.

Sign in / Sign up

Export Citation Format

Share Document