scholarly journals A comparative study of bridge traffic load effect using micro-simulation and Eurocode load models

2012 ◽  
pp. 3420-3427 ◽  
Author(s):  
A Lipari ◽  
E Obrien ◽  
C Caprani
Keyword(s):  
Comparative Study ◽  
Traffic Load ◽  
Load Effect ◽  
Load Models ◽  
Micro Simulation

Lastannahmen im Brückenbau – Vergleich von Verkehrslasten für Eisenbahnbrücken aus Lastmodellen und Messdaten/Actions on bridges – A comparison of traffic loads for railway bridges from traffic load models and measured data

Bauingenieur ◽  
2016 ◽  
Vol 91 (10) ◽  
pp. 410-416
Author(s):  
Gerhard Lener ◽  
Johannes Schmid
Keyword(s):  
Measured Data ◽  
Traffic Load ◽  
Railway Bridges ◽  
Load Models ◽  
Traffic Loads

Sowohl bei der ursprünglichen Dimensionierung als auch bei allfälligen Sanierungsvorhaben bedingen die Einwirkungen aus Verkehrslasten die Bauteilabmessungen maßgeblich. In vielen Fällen sind ältere Tragwerke nach heutigen Bemessungsrichtlinien deutlich unterdimensioniert, wodurch im Falle von Erweiterungsmaßnahmen zusätzliche Verstärkungsmaßnahmen im Bestand anfallen. Des Weiteren ist die Beurteilung der Restlebensdauer solcher Tragwerke in der Praxis schwierig, da in der Regel keine Informationen hinsichtlich der realen Einwirkungen aus Verkehrslasten vorhanden sind. Durch diesen unbefriedigenden Zustand motiviert, erfolgt in diesem Beitrag eine nähere Untersuchung realer, messtechnisch erfasster Einwirkungen auf Eisenbahnbrücken. Diese bilden die Basis für Vergleiche der Auswirkungen realer Messdaten und normativen Lastmodellen, die rechnerisch an unterschiedlichen Tragsystemen gezeigt werden. Dabei sind die im Vergleich zu den genormten Belastungen doch maßgeblich geringeren Einwirkungen deutlich erkennbar und liefern damit möglicherweise die Antwort auf die Frage, warum einzelne Eisenbahnbrücken nach wie vor funktionieren, obwohl deren rechnerische Lebensdauer bereits erreicht ist. Des Weiteren zeigt sich das daraus resultierende Optimierungspotenzial bei der Aktivierung von Realtragreserven beziehungsweise der deutlich höherer anzusetzender Lebenserwartung bestehender Tragwerke.

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

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 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.

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