Initial Implementation of Structural Health Monitoring System of a Railway Bridge

Purnomo, Dwi Agus; Aspar, Wimpie Agoeng Noegroho; Barasa, Willy; Harjono, Mulyadi Sinung; Sukamdo, P; Fiantika, Thiya

doi:10.1088/1757-899x/1200/1/012019

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…Furthermore, the expert system can be adopted for civil engineering purposes [13], [41], [54], [55]. The development of expert systems covers user interfaces, knowledge bases, engine interfaces, and development engines [12], [48], [52], [54]. User interfaces are used to monitor the condition of the railway bridge at the location using sensors installed at the railway bridge.…”

Section: A Structural Health Monitoring System (Shms)mentioning

confidence: 99%

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Online Real-Time Monitoring System of A Structural Steel Railway Bridge Using Wireless Smart Sensors

Qowiy,

Aspar,

Susanto

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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In the transportation network, railway bridges are crucial for the transfer of both passengers and commodities. Railway bridges require continuous monitoring to observe their performance. A structural health monitoring system is one method for assessing the viability of a railway bridge structure. The functioning of railroad bridge structures has been extensively observed using wireless technology. This research aims to implement smart wireless sensors for monitoring the structural health of the railway bridge online in real-time during operation. Many sensor kinds were installed on the railway bridge, including strain gauges, accelerometers, linear variable displacement transducers, and proximity sensors. Geometric modeling and numerical simulation were performed to find critical frame locations on the railway bridge where the instrumentation sensors would be placed. In this study, MONITA® is employed for data acquisition modules. The MONITA® system consists of a combination of hardware and software that functions to retrieve, send, store, and process data. This paper describes the result of the establishment of this method to comprehend the performance of the steel railway bridge structure in real-time via the human-machine interface display dashboard. As a result, the monitoring system can appropriately be used to assess a structural railway bridge in real-time. This study may be helpful to practicing engineers and researchers in future studies of steel railway bridge evaluation. This could be a useful reference for future studies in implementing such systems as the railway bridge early warning system technique in detecting bridge damage.

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Section: A Structural Health Monitoring System (Shms)mentioning

confidence: 99%

“…The SHMS was initially implemented on Indonesia's BH 77 railway bridge. The railway bridge is a steel structure that is a single simple span bridge [48], [49].…”

Section: Introductionmentioning

confidence: 99%

Online Real-Time Monitoring System of A Structural Steel Railway Bridge Using Wireless Smart Sensors

Qowiy,

Aspar,

Susanto

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…The outcomes of the theoretical model corresponded with the laboratory outcomes. The numerical background of another study was used to decide the location of the sensors and the limitations of the railway bridge monitoring [35]. Data collection systems include several other elements rather than sensor technology.…”

Section: Conventional Monitoring-based and Machine Learning-based Met...mentioning

confidence: 99%

Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review

et al. 2023

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Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.

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“…The initial implementation of the SHM was applied to analyze the strength of the profiles attached to the workforce on the railway bridge. Vertical deflection, capacity ratio, and natural frequency of railway bridges during operation can be observed directly [28].…”

Section: Introductionmentioning

confidence: 99%

Direct Analysis of a Steel Railway Bridge via Monitoring System of an Instrumented Structure

Aspar,

Pradono,

Barasa

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Railway infrastructure maintenance is essential in implementing the transportation system. Most of these railway bridges have suffered gradual deterioration over time. Predictive structural health monitoring (SHM) is required by installing instrumentation sensors on railway bridges to determine the condition of the railway bridge infrastructure at the site. This research aims to analyze and assess the existing condition of steel railway bridges to understand the load-deformation characteristics, bearing capacity, and dynamic response of the structure. This paper describes a valuable method for assessing the condition of steel railway bridges during operation. This paper presents a direct analysis of the steel railway bridge structure, with a span of 40.00 meters, a width of 4.40 meters, and a height of 6.60 meters. The steel structure railway bridge is modeled in 3D in detail, and numerical analysis is carried out using finite element analysis based on input parameters obtained from manual field measurements and instrumentation sensors. The expected result of the development of this SHM System is to know the performance of the steel railway bridge structure in real-time via the dashboard display. The results showed that the carrying capacity of the railway bridge was in a relatively safe condition. This case study may help practice engineers and researchers in future research. It can be a valuable reference for future research in developing and applying such a system to a typical case.

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Initial Implementation of Structural Health Monitoring System of a Railway Bridge

Cited by 7 publications

References 6 publications

Online Real-Time Monitoring System of A Structural Steel Railway Bridge Using Wireless Smart Sensors

Online Real-Time Monitoring System of A Structural Steel Railway Bridge Using Wireless Smart Sensors

Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review

Direct Analysis of a Steel Railway Bridge via Monitoring System of an Instrumented Structure

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