Showing papers in "Structure and Infrastructure Engineering in 2020"

TL;DR: Through a critical review of 485 articles, this paper investigates current data-driven bridge O&M decision-making in detail, including mainstream data types, issues related to data management, and typical application areas using these data.

TL;DR: After recent large earthquakes, field investigations confirmed that several bridges were severely damaged and collapsed not only due to the earthquake, as an independent hazard, but also to other factors.

TL;DR: This study proposes a novel structural displacement measurement method using deep learning-based full field optical flow methods that gives higher accuracy than the traditional optical flow algorithm and shows consistent results in compliance with displacement sensor measurements.

TL;DR: In this article, the immediate damage of highway bridges caused by natural hazards can disrupt transportation systems, which can cause a significant role in maintaining safety and functionality of the society, as well as a significant loss of revenue.

TL;DR: In this paper, a study regarding the safety against crosswinds of a high speed train running over a railway bridge belonging to the future high-speed railway network in Russia is presented.

TL;DR: In this article, reinforced concrete and reinforced reinforced concrete structures using conventional materials in aggressive exposure conditions are susceptible to corrosion, and non-corrosive reinforcement materials are not suitable for them.

TL;DR: The calibration and validation of a numerical model of a steel-concrete composite railway bridge considering the vehicle–track–structure interaction and a good agreement was achieved between experimental and numerical records regarding the displacements at the supports and deck, and the accelerations at the deck.

TL;DR: In this paper, UHPFRC is combined with reinforcing steel bars forming a reinforced Cementitious Composite layer with the goal to enhance the performance of the UHP-FRC layer.

TL;DR: In this paper, the authors developed and applied a procedure for detecting damage in a composite slab-on-girder bridge structure comprising of a reinforced concrete slab and three steel I beams.

TL;DR: The Endurance Time method is employed as an efficient procedure for estimating the engineering demand parameters at different seismic hazard levels and the proposed design procedure is employed in design optimization of two multi-story buildings.

TL;DR: In this article, a noncontact 3D scanning system was employed to capture the corrosion features of three naturally corroded steel beams and to reconstruct the 3D geometries of the beams.

TL;DR: A probabilistic approach is proposed to assess the seismic performance of transportation networks considering the uncertainties involved in the lifetime structural response of aging bridges under different earthquake scenarios and the time-variant seismic capacity associated with prescribed limit states is evaluated.

TL;DR: More than 40% of bridges in Southwest China have piers over 40'm height as mentioned in this paper and the seismic behavior of these bridges is critical, especially exposed to near-fault pulse-like ground motions.

TL;DR: In this paper, the authors consider the different ways in which potential climate change scenarios can affect the safety and performance of infrastructures and propose a framework to account for the different effects of climate change on infrastructure.

TL;DR: Research findings suggest that the deep learning model offers a promising tool as a data-driven condition forecasting approach for bridge components with a demonstrated prediction accuracy over 85%.

TL;DR: A condition-based maintenance model, based on Petri nets, is proposed to evaluate the consequences of alternative maintenance strategies to maintain and improve the performance of ceramic claddings, a full life-cycle model that integrates the stochastic assessment of the degradation condition of the cladding and also inspections, maintenance and renewal processes.

TL;DR: In this article, sustainability becomes of paramount importance when the infrastructures such as bridges are designed to provide a long-lasting and intergenerational functionality, such as bridge repair.

TL;DR: The results show the capability of the proposed resilience framework in quantifying the detrimental effects of structural deterioration at the network scale and the beneficial consequences of infrastructure investments, such as enhancing the network redundancy with the construction of an additional highway branch.

TL;DR: In this article, the authors identify key variables that influence crack formation in buried concrete sewer pipes and impact their structural integrity for evaluating the leakage and collapse vulnerability of the underground concrete sewer pipe.

TL;DR: In this article, the authors review and summarise the major research work carried out on the performance and evolution of slab tracks from their first applications until today and present an assessment of the current syste...

TL;DR: The lack of prior warning of an earthquake is a major cause of damage from surface transportation systems as discussed by the authors, along with the lack of adequate emergency preparedness for such an event can cause significant damage.

TL;DR: An efficient analysis framework for high-speed train-bridge coupled vibrations under non-stationary winds based on the pseudo excitation method (PEM) has been developed, in which the non- stationary winds were transformed into a series of pseudoharmonic excitation vectors.

TL;DR: In this article, the response up to collapse of masonry arch bridges is very complex and affected by many uncertainties, and accurate response predictions can be achieved using sophisticated numeric methods using sophisticated numerical models.

TL;DR: A novel resilience-based optimisation model for post-disaster urban transportation network restoration that could obtain a set of general optimal restoration schedules in an efficient manner so that decision-makers could make a final choice by weighting other preferences and experience.

TL;DR: It has been found that the kurtosis of the longitudinal level is a statistically significant predictor of the occurrence of isolated longitudinal level defects in a given track section.

TL;DR: A deep learning (DL)-based method for the instance segmentation of cracks from shield tunnel lining images using a mask region-based convolutional neural network (Mask R-CNN) incorporated with a morphological closing operation, and a relative optimal model is found.

TL;DR: The recent research progress in bridge maintenance, safety, management, and life extension has been presented and discussed at the Ninth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), held in Melbourne, Australia, and is included in this special issue of Structure and Infrastructure Engineering.

TL;DR: In this paper, reinforced concrete (RC) bridges under traffic loads and a severe airborne chloride environment require more frequent and intensive maintenance activities to preserve an adequate performance level, which is difficult to achieve.

TL;DR: The use of polyvinyl chloride (PVC) has become one of the dominant construction materials for sewer systems over the past decades, as a result of its reputed merits.

TL;DR: The proposed damage detection framework for truss railway bridges based on operational strain responses could identify, locate and relatively assess the severity of the damage induced by stiffness change in instrumented truss elements.