A simplified method to estimate the fundamental frequency of skew continuous multicell box-girder bridges

Mohseni, Iman; Rashid, Abdul; Kang, Junsunk

doi:10.1590/s1679-78252014000400006

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Recent studies have shown that expansion joints are one of the main causes of many defects in bridges. With an increase in gap width, the impact and possible damage are potentially more serious [17].…”

Section: Discussionmentioning

confidence: 99%

Bridge Safety Analysis Based on the Function of Exceptional Vehicle Transit Speed

Ventura¹,

Barabino²,

Vetturi³

et al. 2020

TOTJ

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Background: The road management agencies often prescribe very low-speed limits for exceptional vehicles transiting on the deck. These restrictions aim to reduce the dynamic effects due to the vehicle-bridge interaction because it is assumed that these effects increase with speed. However, sometimes, a reduction in speed increases the encounter probability of two exceptional vehicles travelling in opposite directions and this could compromise the safety of the bridge when the total masses of both vehicles exceed the bridge bearing capacity (or limit mass). Objective: While the literature has investigated the encounter probability in a theoretical way and has investigated the vehicle-bridge interaction, especially in terms of dynamic load increment, to the best of our knowledge, no study has investigated the conjunction probability of encounters and of exceeding the limit mass also by using real data. This paper aims to cover this gap by proposing an integrated model that computes the “Annual Probability of Failure” of the bridge, defined as the likelihood to exceed the “Limit Mass" of the deck when two opposite exceptional vehicles encounter. Methods: According to the probability theory, the “Annual Probability of Failure” can be obtained by multiplying the likelihood that during the reference year, at least once, two exceptional vehicles, travelling in two opposite directions (ascendant and descendant), will be simultaneously on the bridge deck (“Annual probability of encounter”) with the likelihood that the sum of the single masses of two exceptional vehicles randomly extracted from the sample, including the dynamic effects, exceeds the limit mass ml (“Probability of exceeding the limit mass”). Results: The results show that the probability of encounter increases with both the exceptional vehicles flow rate and the length of the span, whereas it decreases with the passing speed. The probability of exceeding the limit mass increases with speed. Nevertheless, by combining both the probabilities, these results suggest the existence of an “Optimal Speed”, which minimizes the “Annual Probability of Failure”. Conclusion: The existence of an “Optimal Speed” should be considered when defining the exceptional vehicle transit rules on bridges as well as the speed limit.

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Section: Discussionmentioning

confidence: 99%

Bridge Safety Analysis Based on the Function of Exceptional Vehicle Transit Speed

Ventura¹,

Barabino²,

Vetturi³

et al. 2020

TOTJ

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show abstract

“…According to the Federal Highway Administration national bridge inventory, over 25% of US bridges have maximum spans between 15 and 50 m 53 . It is difficult to establish expected values for the fundamental frequencies of such bridges; however, they can be considered greater than 1 Hz 54,55 and are therefore more likely to coincide with vehicle modal frequencies, which usually range 1-3 Hz 56,57 .…”

Section: Number Of Vehicle Trips Versus Accuracymentioning

confidence: 99%

Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips

Matarazzo

Kondor

Milardo³

et al. 2022

Commun Eng

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Monitoring and managing the structural health of bridges requires expensive specialized sensor networks. In the past decade, researchers predicted that cheap ubiquitous mobile sensors would revolutionize infrastructure maintenance; yet extracting useful information in the field with sufficient precision remains challenging. Herein we report the accurate determination of critical physical properties, modal frequencies, of two real bridges from everyday vehicle trip data. We collected smartphone data from controlled field experiments and uncontrolled Uber rides on a long-span suspension bridge in the USA (The Golden Gate Bridge) and developed an analytical method to accurately recover modal properties. We also successfully applied the method to partially-controlled crowdsourced data collected on a short-span highway bridge in Italy. Further analysis projected that the inclusion of crowdsourced data in a maintenance plan for a new bridge could add over fourteen years of service (30% increase) without additional costs. Our results suggest that massive and inexpensive datasets collected by smartphones could play a role in monitoring the health of existing transportation infrastructure.

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“…The dynamic response of bridges was first studied in the middle of the 19th century (González 2010;Valašková et al 2019) after the collapse of the Chester Railway Bridge in the U.K. In the design of modern bridges, the influences of dynamic load are considered by multiplying the static load with a factor called the Impact factor to approximate dynamic effects (Wolek, 1996;Billing, 1984;Chang et al, 1994;Mohseni et al, 2014). However, during the design process, the influence of actual static load and varying dynamic load under different traffic conditions are often overlooked Chang et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

Singh,

Mandal,

Dey

2024

Preprint

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In earlier days, bridges were designed with the maximum possible static load on them. In the failure of some bridge structures, it is established that dynamic load often plays a vital role in the failure of bridges. Considering this, it is established that the responses of the bridges under dynamic loading should be evaluated for prior understanding of the bridge condition. This paper reports one such case study carried out on a newly constructed bridge to understand the response of the bridge under dynamic loading. The physical experiments are carried out to monitor the response of the bridge under the dynamic loading from the movement of a 35.5 Metric Tonne (MT) vehicle weight at varying speeds. Numerical simulation of the bridge structure is also carried out using modal analysis and transient analysis methods. The response of the bridge is simulated for varying dynamic load conditions generated through vehicle speed ranging from 30 km/h to 87 km/h and the vehicle weight ranging from 35.5 MT to 106.5 MT. A generic equation for a simply supported bridge for varying speed and vehicle weight is proposed. This study, however, has the limitation of ignoring the influence of uncontrolled environmental factors such as humidity, temperature, and wind effects on bridge dynamic behaviours.

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A simplified method to estimate the fundamental frequency of skew continuous multicell box-girder bridges

Cited by 10 publications

References 17 publications

Bridge Safety Analysis Based on the Function of Exceptional Vehicle Transit Speed

Bridge Safety Analysis Based on the Function of Exceptional Vehicle Transit Speed

Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

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