A Study on Assessment Method of Traffic Load Effect of Bridge in Service

2010 ◽  
Author(s):  
Pan Ling ◽  
Han Dajian ◽  
Jane W. Z. Lu ◽  
Andrew Y. T. Leung ◽  
Vai Pan Iu ◽  
...  
Keyword(s):  
Assessment Method ◽  
Traffic Load ◽  
Load Effect

scholarly journals Dynamic Reliability of Continuous Rigid-Frame Bridges under Stochastic Moving Vehicle Loads

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Naiwei Lu ◽  
Kai Wang ◽  
Honghao Wang ◽  
Yang Liu ◽  
Yuan Luo ◽  
...  
Keyword(s):  
Reliability Index ◽  
Volume Growth ◽  
Traffic Monitoring ◽  
Traffic Load ◽  
Highway Traffic ◽  
First Passage ◽  
Growth Ratio ◽  
Load Effect ◽  
Dynamic Reliability ◽  
Rigid Frame

The current volume of freight traffic has increased significantly during the past decades, impacted by the fast development of the national transportation market. As a result, the phenomena of truck overloading and traffic congestion emerge, which have resulted in numerous bridge collapse events or damage due to truck overloading. Thus, it is an urgent task to evaluate bridge safety under actual traffic loads. This study evaluated probabilistic dynamic load effects on rigid-frame bridges under highway traffic monitoring loads. The site-specific traffic monitoring data of a highway in China were utilized to establish stochastic traffic models. The dynamic effect was considered in a vehicle-bridge coupled vibration model, and the probability estimation was conducted based on the first-passage criterion of the girder deflection. The prototype bridge is a continuous rigid-frame bridge with a midspan length of 200 m and a pier height of 182 m. It is demonstrated that the dynamic traffic load effect follows Gaussian distribution, which can be treated as a stationary random process. The mean value and standard deviation of the deflections are 0.071 m and 0.088 m, respectively. The dynamic reliability index for the first passage of girder deflection is 6.45 for the current traffic condition. However, the reliability index decreases to 5.60 in the bridge lifetime, accounting for an average traffic volume growth ratio of 3.6%.

Improvement of extrapolation of traffic load effect on highway bridges based on Rice’s theory

2015 ◽  
Vol 15 (3) ◽  
pp. 527-539 ◽  
Author(s):  
Weizhen Chen ◽  
Cheng Ma ◽  
Zhenlin Xie ◽  
Bochong Yan ◽  
Jun Xu
Keyword(s):  
Highway Bridges ◽  
Traffic Load ◽  
Load Effect ◽  
Rice’S Theory

scholarly journals A DEVELOPMENT OF OPTICAL NETWORK UNIT POWER CONSUMPTION MODEL CONSIDERING TRAFFIC LOAD EFFECT

2018 ◽  
Vol 80 (4) ◽  
Author(s):  
Arnidza Ramli ◽  
Nadiatulhuda Zulkifli ◽  
Auwalu Usman ◽  
Sevia Mahdaliza Idrus
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Optical Network ◽  
Sampling Rate ◽  
Access Network ◽  
Passive Optical Network ◽  
Traffic Load ◽  
Optical Network Unit ◽  
Load Effect ◽  
Consumption Model

Accurate and precise measurement of energy consumption for the deployment of fiber-to-the-home (FTTH) network using Gigabit passive optical network (GPON) is vital to the research community to develop models for the synthesis of energy-efficient protocols and algorithms for the access network. However, lack of power consumption measurement of optical network devices in the past has led to unrealistic and/or oversimplified model being used in simulations. Usually the access network devices are assumed always on and their consumption is both traffic and time independent. Therefore, in this paper we propose an experimentally-driven approach to i) characterize the Optical Network Unit (ONU) from the power consumption standpoint and ii) develop more accurate power consumption model for the ONU. We focus on ONU since it represents the main contributor to the energy consumption of optical access network. The real data in terms of the power consumption and traffic load have been obtained from continuous measurements performed on a GPON network testbed. The measurement is limited to a maximum 100 Mbps data rate due to a limitation in the sampling rate and precision of the measurement device. However, validation has been done with theoretical power consumption model in order to prove the feasibility of the proposed model. Our measurements show that the power consumption of the ONU exhibits a linear dependence on the traffic in which the power consumption at idle mode is 11.51 W while in low power mode the power consumption is around 7.52 W.

scholarly journals Traffic Load Effect Forecasting for Bridges

2015 ◽  
Vol 105 (28) ◽  
pp. 1-8
Author(s):  
Cathal Leahy ◽  
Eugene OBrien ◽  
Alan O’Connor
Keyword(s):  
Traffic Load ◽  
Load Effect

Uncertainty Quantification of Load Effects under Stochastic Traffic Flows

2018 ◽  
Vol 19 (01) ◽  
pp. 1940009 ◽  
Author(s):  
He-Qing Mu ◽  
Qin Hu ◽  
Hou-Zuo Guo ◽  
Tian-Yu Zhang ◽  
Cheng Su
Keyword(s):  
Probability Distribution ◽  
Uncertainty Quantification ◽  
Optimal Parameter ◽  
Probability Model ◽  
Probabilistic Approach ◽  
Bridge Engineering ◽  
Traffic Load ◽  
Distribution Model ◽  
Load Effect ◽  
Load Effects

Load effect characterization under traffic flow has received tremendous attention in bridge engineering, and uncertainty quantification (UQ) of load effect is critical in the inference process. Bayesian probabilistic approach is developed to overcome the unreliable issue caused by negligence of uncertainty of parametric and modeling aspects. Stochastic traffic load simulation is conducted by embedding the random inflow component into the Nagel–Schreckenberg (NS) model, and load effects are calculated by stochastic traffic load samples and influence lines. Two levels of UQ are performed for traffic load effect characterization: at parametric level of UQ, not only the optimal parameter values but also the associated uncertainties are identified; at model level of UQ, rather than using a single prescribed probability model for load effects, a set of probability distribution model candidates is proposed, and model probability of each candidate is evaluated for selecting the most suitable/plausible probability distribution model. Analytic work was done to give closed-form solutions for the expression involved in both parametric and model UQ. In the simulated examples, the efficiency and robustness of the proposed approach are firstly validated, and UQ are performed to different load effect data achieved by varying the structural span length under the changing total traffic volume. It turns out that the uncertainties of load effects are traffic-specific and response-specific, so it is important to conduct UQ of load effects under different traffic scenarios by using the developed approach.

Highway Bridge Load-Bearing Capacity Assessment Under Chinese and British Methodologies

2011 ◽  
Vol 378-379 ◽  
pp. 353-357
Author(s):  
Mudhafer H. Selman
Keyword(s):  
Bearing Capacity ◽  
Assessment Method ◽  
Capacity Assessment ◽  
Load Bearing Capacity ◽  
Load Effect ◽  
Load Bearing ◽  
Material Condition ◽  
Specific Loading ◽  
Main Component ◽  
Lower Moment

The purpose of assessment of structures is to check their adequacy for specific loading levels and to identify those bridges that have an unacceptable risk of failure, either in part or complete collapse, under extreme circumstances of loading and material condition [1]. In this study, a comparison was made between new Chinese bridge load-bearing capacity assessment method and The British Highway Agency method. Load-bearing capacity assessment results were generated for bridges super structure and analyzed for moment and shear load effect. Also the study included a comparison of the main component of load-bearing capacity calculation, factored live load, factored dead load, and factored capacity. The comparison shows that the British Method produced lower moment and shear bridges carrying capacity factor than Chinese Method.

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