Drive-by Damage Monitoring of Transport Infrastructure Using Direct Calculation of the Profile

Keenahan, Jennifer; O’Brien, Eugene J.; Ren, Yifei

doi:10.7712/120119.7195.19433

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…If the initial displacement is different from zero, the true displacement and the displacement estimated from accelerations will be shifted by an amount that remains constant for an initial zero velocity but that varies linearly for an initial velocity different from zero. Previous research obviates this issue by assuming ICs to be known or measurable through sophisticated instrumentation mounted on the vehicle (Harris et al., 2010; Keenahan, Obrien, & Ren, 2019).…”

Section: Estimation Of the Contact Point Responsementioning

confidence: 99%

Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle

Feng

Casero

González

2023

Computer aided Civil Eng

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In an effort to find more cost‐effective and proactive ways to keep bridges in good condition, the use of instrumented vehicles has gained great interest in the last decade. Two bridge components that can wear rapidly are the bearings and the road surface. However, past research on drive‐by monitoring has placed focus mostly on detecting losses of bending stiffness in the bridge deck, while assuming ideal support conditions that may differ from real cases significantly, and ignoring the characterization of the road profile. Even further, the need for specialized vehicles equipped with high‐tech instrumentation, low speeds, or very good road profiles has been a major obstacle preventing its practical implementation. This paper investigates the use of axle accelerations from an ordinary two‐axle vehicle crossing the bridge to quantify the rotational stiffness of the supports and the height of the road irregularities while overcoming the limitations exposed above. In contrast to previous research where the response of the contact point has been derived from other vehicular locations based on complex differential equations of motion, transfer functions are employed here. The key advantage of transfer functions is their simple algebraic form that can be easily calibrated on the field. The road profile is then obtained by subtracting the displacement of the bridge under each axle from the displacement of the contact point. There is one prediction of the road profile per axle but only a unique value of rotational stiffness at each support that will yield the same prediction by both axles. The algorithm is successfully tested with a half‐car traveling at 5, 10, 15, and 20 m/s, over a 15‐m bridge beam model with ISO road classes “A,” “B,” and “C,” for boundary conditions ranging from simply supported to fixed. The solution's robustness to modeling inaccuracies and noisy data is also investigated.

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Section: Estimation Of the Contact Point Responsementioning

confidence: 99%

Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle

Feng

Casero

González

2023

Computer aided Civil Eng

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“…A novel method for indirectly monitoring the structural health of railway bridges was proposed by Keenahan et al [71], in which direct integration techniques are applied to determine the bridge's apparent profile by an optimization procedure, directly from the vehicle accelerations. Using the apparent profile, Bridge Displacement Profile Difference (BDPD) is calculated and used as an indicator of temperature change and bridge damage.…”

Section: Feature Extractionmentioning

confidence: 99%

Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part I: Bridges and Viaducts

et al. 2023

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Bridges and viaducts are critical components of railway transport infrastructures, providing safe and efficient means for trains to cross over natural barriers such as rivers and valleys. Ensuring the continuous safe operation of these structures is therefore essential to avoid disastrous economic consequences and even human losses. Drive-by methodologies have emerged as a potential and cost-effective monitoring solution for accurately and prematurely detecting damage based on instrumented vehicles while minimizing disruptions to train operations. This paper presents a critical review of drive-by methodologies applied to bridges and viaducts. Firstly, the premises of the method are briefly reviewed, and the potential applications are discussed. In sequence, several works involving the use of drive-by methodologies for modal characteristic extraction are presented, encompassing the most important methodologies developed over time as well as recent advancements in the field. Finally, the problem of damage identification is discussed—both in relation to modal and non-modal parameter-based techniques considering the most promising features and the current advancements in the development of methodologies for damage detection based on machine learning algorithms. A comprehensive conclusion is presented at the end of the article, summarizing the achievements and providing perspectives for future developments. By critically assessing the application of drive-by methodologies to bridges and viaducts, this paper contributes to the advancement of knowledge in this crucial area, emphasizing the significance of continuous monitoring for ensuring the integrity and safety of these vital transport infrastructures.

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Drive-by Damage Monitoring of Transport Infrastructure Using Direct Calculation of the Profile

Cited by 2 publications

References 7 publications

Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle

Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle

Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part I: Bridges and Viaducts

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