Risk-informed serviceability management strategy for long-span bridges in wind-prone areas considering vehiclebridge-wind interactions
Traditional serviceability assessment of long-span bridges in wind-prone regions considers only wind excitation without moving traffic.Moving traffic is usually present on the bridge,which may considerably influence the bridge dynamic performance along with wind.In the meantime,the moving vehicles may experience increased safety risks under strong crosswinds when the dynamic interactions between the vehicles,wind and long-span bridges are considered.Both the bridge response and traffic safety risks of moving vehicles on long-span bridges may define the serviceability of these critical bridges and decision-making in terms of opening and closing the bridge to the traffic in wind-prone areas.A new probabilistic framework is proposed to assess the serviceability of long-span bridges under the combined wind and traffic excitations.Different from existing studies,the proposed framework aims at evaluating bridge serviceability by developing fragility of the bridge with respect to both wind and traffic parameters.Nonlinear time history analysis is then conducted with Latin Hypercube sampling on the interacting bridge-traffic system under wind,in which the coupling effects among the bridge structure,wind and each individual vehicle in the traffic flow are taken into account comprehensively.Fragility analysis is further conducted for key components in the bridge-traffic system in order to obtain the conditional probability of the structure to reach or exceed certain damage states corresponding to both the structural safety level and vehicle safety level.The proposed methodology is illustrated with a prototype long-span bridge by establishing fragility curves or surfaces,which provide key information for rationally assessing damage and losses and are critical to decision makers on the management of bridge-traffic system under wind.
Serviceability long-span bridge wind vehicle risk
Y.Zhoua S.Chen
SOH Wind Engineering,VT,USA;Colorado State University,CO,USA Colorado State University,CO,USA
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2019-2029
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）