A computational framework for finite element modeling of traveling loads on bridges in dynamic regime

Abstract

The rigorous modeling of traveling loads on bridges in a dynamic regime is not an easy task as the traveling load contributes to the dynamic of the structural system with its mass and damping. In this paper, a simplified approach for traveling loads on bridges in dynamic regime is proposed. The main simplification consists in neglecting the traveling mass. The validity of the proposed simplification is checked with a sensitivity analysis considering a few realistic case‐study bridges. The ranges of velocity and traveling‐force/bridge‐weight ratio are identified. Eventually, the proposed methodology is applied to two case studies, (i) an existing Italian reinforced concrete viaduct and (ii) a pedestrian bridge. The applications show that the proposed simplified approach can be applied to a range of civil engineering problems such as the quantification of the structural reliability of existing structures or the assessment of pedestrian comfort.

Motion planning for efficient and safe module transportation in modular integrated construction

“…For example, special traffic arrangement such as police escort is required when modules exceed the width limit (typically from 2.5 to 3.5 m) in road transportation, thus incurring additional costs (Bertram et al, 2019). Moreover, the bulky and heavy modules transported by truck have a potential impact on road and bridge safety (De Risi, 2021). The above concerns are normally analyzed by manual approaches, like swept path analysis and site trials.…”

“…The above research on module transportation mainly focused on intelligent route selection (Niu et al, 2019), logistics scheduling (Hsu et al, 2019;Yi et al, 2020), and safety (De Risi, 2021;Godbole et al, 2018) to improve delivery performance in MiC. Only a few studies addressed the module dimension concerns in developing transportation plans.…”

Modeling nonlinear flutter behavior of long‐span bridges using knowledge‐enhanced long short‐term memory network

“…Hence, it is critical to fully understand the nonlinear flutter behavior of long‐span bridges characterized by limit‐cycle oscillations (LCOs) with relatively large amplitudes (Dowell & Hall, 2001; Ying et al., 2017). Although the wind effects on a bridge can be accurately acquired using fully coupled three‐dimensional (3D) fluid‐structure interaction (FSI) simulation, wherein the bridge aerodynamics and response are, respectively, modeled using computational fluid dynamics (CFD) and computational structural dynamics while the interaction between the wind and the bridge is captured using strongly coupled techniques (Kim & Yhim, 2014), the extremely high computational demands have limited its applications so far (De Risi, 2022).…”