Novel Method for Retrofitting Superstructures and Piers in Aged Steel Railway Bridges

Lin, Weiwei; Taniguchi, Nobuyuki; Yoda, Teruhiko

doi:10.1061/(asce)be.1943-5592.0001120

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…It has been found by the maintenance engineers that the strengthening of substructures is more difficult than that of superstructures because the substructures of a bridge include structures that lie under water most of the year, e.g., piles, piers, etc. Conventional strengthening methods for the substructure, such as enlarging section method [2], bonded steel plates method [3], fiber-reinforced polymer (FRP) method [4,5,6], extraneous prestressed strengthening technique [7], and other novel methods [8,9], do improve the load capacity and durability of substructure. However, they are more often than not expensive, time-consuming, and traffic-disrupting, because cofferdam needs to be built for drainage first before any work could be done to underwater substructures.…”

Section: Introductionmentioning

confidence: 99%

The Mix Ratio Study of Self-Stressed Anti-Washout Underwater Concrete Used in Nondrainage Strengthening

Jiang

Shen

et al. 2019

Materials

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Anti-washout underwater concrete (AWC) is widely used in nondrainage strengthening; however, there still exist some problems with it, such as high strength loss and poor interfacial bond in practical engineering application. Based on the study of self-stressed concrete (SSC), a research on the mix ratio for the C30 self-stressed anti-washout underwater concrete (SSAWC) was carried out in this paper in hope of solving the above problems, specifically, by adding an expansive agent to the AWC. The parameters, such as strength, fluidity, anti-dispersity, and expansibility, were picked as target indices in determination of the mix ratio. The orthogonal test design and range analysis were used to determine the reasonable mix ratio and study the influence of various parameters on the performance of SSAWC. The experimental program conducted includes a series of strength, fluidity, anti-dispersity, and expansibility tests on 18 groups of specimens. The results show that C30 SSAWC has an excellent performance using the optimal mix ratio. Compared with AWC, the expansibility and self-stress of the SSAWC can be easily observed, and the compressive strength ratio of the SSAWC casted in water to that casted in air is much bigger. This implies that SSAWC is applicable to the nondrainage strengthening.

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Section: Introductionmentioning

confidence: 99%

The Mix Ratio Study of Self-Stressed Anti-Washout Underwater Concrete Used in Nondrainage Strengthening

Jiang

Shen

et al. 2019

Materials

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“…Bridge structural deficiencies have become a widespread concern throughout the world due to increasing traffic loads and the progressive degradation of bridges over time etc. [1]. It is reported that more than 11 % of bridges in the United States are structurally deficient [2]; in Europe, most bridges were constructed from 1945 to 1965 [3]; in Australia, 72 % of the bridge transportation network was built before 1976 [4]; in Japan, the boom of bridge infrastructure development occurred between 1955 and 1975, and many of these bridges are predicted to have structural flaws within the next decade [5].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis algorithms for indirect bridge health monitoring via an optimized AdaBoost-linear SVM

Lan

Zhang²,

Lin³

2023

Engineering Structures

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“…As a tragic example, the Genoa bridge collapse in Italy claimed the lives of 43 people in 2018, mainly due to poor maintenance with difficulties in inspection [ 3 , 4 ]. Bridge structural failure has emerged as a worldwide issue, and it is essential to build effective bridge health monitoring systems that can detect damage in its early phases [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Time-Domain Signal Processing Algorithm for Data-Driven Drive-by Inspection Methods: An Experimental Study

Lan

Lin

2023

Materials

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Constructional material deterioration and member damage can cause changes in the dynamic characteristics of bridge structures, and such changes can be tracked in the responses of passing vehicles via the vehicle-bridge interaction (VBI). Though data-driven methods have shown promising results in damage inspection for drive-by methods, there is still much room for improvement in their performance. Given this background, this paper proposes a novel time-domain signal processing algorithm for the raw vehicle acceleration data of data-driven drive-by inspection methods. To achieve the best data processing performance, an optimizing strategy is designed to automatically search for the optimal parameters, tuning the algorithm. The proposed method intentionally overcomes the difficulties in the application of drive-by methods, such as measurement noise, speed variance, and enormous data volumes. Meanwhile, the use of this method can greatly improve the accuracy and efficiency of Machine Learning (ML) models in vehicle-based damage detection. It consists of a filtering process to denoise the data, a pooling process to reduce data redundancy, and an optimizing procedure to maximize algorithm performance. A dataset is obtained to validate the proposed algorithm through laboratory experiments with a scale truck model and a steel beam. The results show that, compared to using raw data, the present algorithm can increase the average accuracy by 12.2–15.0%, and the average efficiency by 35.7–96.7% for different damaged cases and ML models. Additionally, the functions of filtering and pooling operations, the influence of window function parameters, as well as the performance of different sensor locations, are also investigated in the paper. The goal is to present a signal processing algorithm for data-driven drive-by inspection methods to improve their detection performance of bridge damage caused by material deterioration or structural change.

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Novel Method for Retrofitting Superstructures and Piers in Aged Steel Railway Bridges

Cited by 12 publications

References 9 publications

The Mix Ratio Study of Self-Stressed Anti-Washout Underwater Concrete Used in Nondrainage Strengthening

The Mix Ratio Study of Self-Stressed Anti-Washout Underwater Concrete Used in Nondrainage Strengthening

Diagnosis algorithms for indirect bridge health monitoring via an optimized AdaBoost-linear SVM

A Time-Domain Signal Processing Algorithm for Data-Driven Drive-by Inspection Methods: An Experimental Study

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