SHM System and a FEM Model-Based Force Analysis Assessment in Stay Cables

Biliszczuk, J.; Hawryszków, Paweł; Teichgraeber, Marco

doi:10.3390/s21061927

Cited by 12 publications

(6 citation statements)

References 30 publications

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“…It should be noted that when MEMS accelerometers reach their saturation level (get overloaded) [ 68 ], they are not able to measure the magnitude of the impact anymore [ 69 ]. In fact, LARA, unlike piezoelectric solutions, does not require a parametric analysis as it does not experience a drift after saturation [ 21 ]. More information about the saturation of MEMS accelerometers can be found in [ 68 ].…”

Section: Laboratory Tests and Resultsmentioning

confidence: 99%

“…On the one hand, some environmental elements (such as temperature or humidity) change very slowly, so they can be considered to perform either as quasi-static or static [ 17 , 18 ]. On the contrary, some events (such as traffic-induced vibrations, ambient activities, and waves from seismic activities) are considered dynamic because their changing rate is significantly affected by the time [ 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Low-Cost Wireless Structural Health Monitoring of Bridges

Komarizadehasl

Lozano

Galant

et al. 2022

Sensors

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Nowadays, low-cost accelerometers are getting more attention from civil engineers to make Structural Health Monitoring (SHM) applications affordable and applicable to a broader range of structures. The present accelerometers based on Arduino or Raspberry Pi technologies in the literature share some of the following drawbacks: (1) high Noise Density (ND), (2) low sampling frequency, (3) not having the Internet’s timestamp with microsecond resolution, (4) not being used in experimental eigenfrequency analysis of a flexible and a less-flexible bridge, and (5) synchronization issues. To solve these problems, a new low-cost triaxial accelerometer based on Arduino technology is presented in this work (Low-cost Adaptable Reliable Accelerometer—LARA). Laboratory test results show that LARA has a ND of 51 µg/√Hz, and a frequency sampling speed of 333 Hz. In addition, LARA has been applied to the eigenfrequency analysis of a short-span footbridge and its results are compared with those of a high-precision commercial sensor.

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Section: Laboratory Tests and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Cost Wireless Structural Health Monitoring of Bridges

Komarizadehasl

Lozano

Galant

et al. 2022

Sensors

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“…Appropriate research has been done using model-based SHM on bridges. It should be noted that this technique has not only been used in real studies but also works in the lab [71,72]. Despite its many benefits, the Model-driven SHM has certain drawbacks as well.…”

Section: Challenges and Different Sorts Of Shm Systemsmentioning

confidence: 99%

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

et al. 2022

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The challenges of urban administration are growing, as the population, automobiles, and cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A key feature of the “smart cities” of today is that they use cutting-edge technology in their infrastructure and services. With strategic planning, the smart city utilizes its resources in the most efficient manner. With reduced expenses and enhanced infrastructure, smart cities provide their residents with more and better services. One of these important urban services that can be very helpful in managing cities is structural health monitoring (SHM). By combining leading new technologies like the Internet of Things (IoT) with structural health monitoring, important urban infrastructure can last longer and work better. A thorough examination of recent advances in SHM for infrastructure is thus warranted. Bridges are one of the most important parts of a city’s infrastructure, and their building, development, and proper maintenance are some of the most important aspects of managing a city. The main goal of this study is to look at how artificial intelligence (AI) and some technologies, like drone technology and 3D printers, could be used to improve the current state of the art in SHM systems for bridges, including conceptual frameworks, benefits and problems, and existing methods. An outline of the role AI and other technologies will play in SHM systems of bridges in the future was provided in this study. Some novel technology-aided research opportunities are also highlighted, explained, and discussed.

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“…Currently, the fatigue assessment and life prediction methods of the stay cables can be generally classifed into two categories: datadriven methods and fnite element model-based methods. Data-driven methods use the data processing methods such as data statistics and data mining to directly assess the condition of the diagonal cable based on the monitoring responses [23,[28][29][30][31]. Unlike the data-driven method, the fnite element model-based approach uses fnite element analysis to indirectly obtain the tension force of cables under diferent loading conditions, and then perform condition assessment and life prediction of the stay cable using suitable fatigue life models [28,[32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Life Evaluation of Parallel Steel-Wire Cables under the Combined Actions of Corrosion and Traffic Load

Cheng

Liu

et al. 2023

Structural Control and Health Monitoring

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Fatigue and corrosion are the main reasons for the failure of stay cables. Traffic load also plays a significant role in cable fatigue. To study the fatigue life of stay cables under the combined action of traffic load and corrosion, this study originally deduced the fatigue probability model for steel wires, considering the stress range and average stress based on the nonlinear fatigue damage model. Then, the weight loss rate was introduced into the fatigue probability model for steel wires in order to obtain the fatigue life probability model for corroded steel wires. Subsequently, a Monte Carlo simulation (MCS) was conducted to predict the fatigue life of stay cables under different guaranteed probabilities. Finally, using a cable-stayed bridge on the Yangtze River in China as an example, the fatigue life of the stay cables in the bridge under the combined effects of different corrosive environments and measured traffic loads was evaluated. Results indicate that both the stress range and mean stress affect the fatigue life of the steel wire. The fatigue life of stay cables is determined by a few steel wires with shorter lives, and the stress redistribution accelerates the failure of the inner wire of the stay cables. The fatigue life of the stay cables on background engineering is much less than the design life of the bridge under the combined actions of a middle-level or high-level corrosive environment and traffic load.

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SHM System and a FEM Model-Based Force Analysis Assessment in Stay Cables

Cited by 12 publications

References 30 publications

Low-Cost Wireless Structural Health Monitoring of Bridges

Low-Cost Wireless Structural Health Monitoring of Bridges

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

Fatigue Life Evaluation of Parallel Steel-Wire Cables under the Combined Actions of Corrosion and Traffic Load

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