Influence on bridge reliability of uncertainty in estimated traffic load-effects

2014 ◽  
pp. 3787-3793 ◽  
Author(s):  
S Reid ◽  
C Caprani
Keyword(s):  
Traffic Load ◽  
Load Effects ◽  
Bridge Reliability

scholarly journals Characteristic dynamic traffic load effects in bridges

2009 ◽  
Vol 31 (7) ◽  
pp. 1607-1612 ◽  
Author(s):  
Eugene J. OBrien ◽  
Paraic Rattigan ◽  
Arturo González ◽  
Jason Dowling ◽  
Aleš Žnidarič
Keyword(s):  
Traffic Load ◽  
Dynamic Traffic ◽  
Load Effects ◽  
Characteristic Dynamic

scholarly journals Evaluating Probabilistic Traffic Load Effects on Large Bridges Using Long-Term Traffic Monitoring Data

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5056 ◽  
Author(s):  
Lu ◽  
Ma ◽  
Liu
Keyword(s):  
Control Measure ◽  
Heavy Traffic ◽  
Suspension Bridge ◽  
Traffic Monitoring ◽  
Traffic Load ◽  
Monitoring Data ◽  
Traffic Density ◽  
Maximum Deflection ◽  
Load Effects ◽  
Crossing Theory

With the steadily growing of global transportation market, the traffic load has increased dramatically over the past decades, which may develop into a risk source for existing bridges. The simultaneous presence of heavy trucks that are random in nature governs the serviceability limit for large bridges. This study investigated probabilistic traffic load effects on large bridges under actual heavy traffic load. Initially, critical stochastic traffic loading scenarios were simulated based on millions of traffic monitoring data in a highway bridge in China. A methodology of extrapolating maximum traffic load effects was presented based on the level-crossing theory. The effectiveness of the proposed method was demonstrated by probabilistic deflection investigation of a suspension bridge. Influence of traffic density variation and overloading control on the maximum deflection was investigated as recommendations for designers and managers. The numerical results show that the congested traffic mostly governs the critical traffic load effects on large bridges. Traffic growth results in higher maximum deformations and probabilities of failure of the bridge in its lifetime. Since the critical loading scenario contains multi-types of overloaded trucks, an effective overloading control measure has a remarkable influence on the lifetime maximum deflection. The stochastic traffic model and corresponding computational framework is expected to be developed to more types of bridges.

scholarly journals Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data

2019 ◽  
Vol 137 ◽  
pp. 102711 ◽  
Author(s):  
E. Alexandra Micu ◽  
Abdollah Malekjafarian ◽  
Eugene J. OBrien ◽  
Michael Quilligan ◽  
Ross McKinstray ◽  
...  
Keyword(s):  
Image Analysis ◽  
Traffic Load ◽  
Traffic Data ◽  
Load Effects

Probabilistic evaluation of maximum dynamic traffic load effects on cable-supported bridges under actual heavy traffic loads

2020 ◽  
pp. 1748006X2093849
Author(s):  
Yang Liu ◽  
Qinyong Wang ◽  
Naiwei Lu
Keyword(s):  
Heavy Traffic ◽  
Suspension Bridge ◽  
Traffic Monitoring ◽  
Traffic Load ◽  
Dynamic Traffic ◽  
Type Distribution ◽  
Cable Stayed Bridge ◽  
Weigh In Motion ◽  
Load Effects ◽  
Motion Measurements

The traffic load has grown significantly in recent years, which might be a threat for the service safety of existing bridges. Thus, it is an urgent task to assess the actual traffic load effects on bridges, considering actual heavy traffic load instead of design traffic load. This study presents a framework for extrapolating maximum dynamic traffic load effects on large bridges using site-specific traffic monitoring data. The framework involves vehicle–bridge interaction analysis and probabilistic modelling of extreme values. The weigh-in-motion measurements of a busy highway in China were collected for stochastic traffic load modelling. Case studies of two long-span cable-supported bridge based on the weigh-in-motion measurements were conducted to demonstrate the effectiveness of the proposed framework. It is demonstrated that Rice’s level-crossing approach can capture both dynamic and probabilistic characteristics of the traffic load effects. The root-mean-square displacement of the cable-stayed bridge follows a C-type distribution, and the one for the suspension bridge follows an M-type distribution, which is associated with the first-order mode shapes of the two types of bridges. The amplification factors for the cable-stayed bridge and the suspension bridge are 5.9% and 3.6%, respectively. The numerical analysis indicates that the dynamic effect for extrapolation is weaker with the increase in bridge span length, but the effect of traffic volume growth will be more significant.

Research on the general method for extrapolating traffic load effects for highway bridges

Stahlbau ◽  
2014 ◽  
Vol 83 (3) ◽  
pp. 186-198 ◽  
Author(s):  
Weizhen Chen ◽  
Zhenlin Xie ◽  
Bochong Yan
Keyword(s):  
Highway Bridges ◽  
Traffic Load ◽  
Load Effects ◽  
General Method

Traffic loads for the assessment of existing bridges

2021 ◽  
Author(s):  
Vazul Boros ◽  
Roman Lenner ◽  
Alan O'Connor ◽  
Andre Orcesi ◽  
Franziska Schmidt ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Load ◽  
Traffic Loading ◽  
Traffic Loads ◽  
Universal Solution ◽  
Load Effects ◽  
Characteristic Values ◽  
Existing Bridges ◽  
Partial Factor

<p>IABSE TG 1.3 aims to identify appropriate approaches for applications of the partial factor format in assessment of existing bridges. A sub-group was formed to investigate and provide recommendations on updating road traffic loads. Commonly, these are assessed by complex numerical simulations. While this study does not provide a universal solution, it demonstrates by a case study a simple and reasonably conservative way of using simulations to update traffic load effects, meanwhile continuously highlighting the objectives, potential alternatives or pitfalls of simulations. The results indicate that, for the short, single span bridge under consideration, the characteristic values given in Eurocodes provide conservative estimates. The probabilistic model for traffic loading obtained by bridge- and route-specific simulations will yield substantially more favourable reliability levels in comparison to the general model in fib Bulletin 80.</p>

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