An Indirect Method for Monitoring Dynamic Deflection of Beam-Like Structures Based on Strain Responses

Hong, Wan; Qin, Zheng; Lv, Kui; Fang, Xuan

doi:10.3390/app8050811

Cited by 7 publications

(5 citation statements)

References 23 publications

(27 reference statements)

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“…For the structural discipline in this study, a Structural Deflection Monitoring (SDM) system in embedded for monitoring dynamic deflection of columns and beams. In this system, the Long-gauge fiber Bragg grating (LG-FBG) sensors can measure average strain over a certain length [23] and accordingly when needed, the actuator will apply compression or tension force measured in kips.…”

Section: Specifying Data Of Smart Componentsmentioning

confidence: 99%

An Experimental Investigation of the Integration of Smart Building Components with Building Information Model (BIM)

Afsari¹,

Flórez²,

Maneke³

et al. 2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Building Information Modeling (BIM) is a methodology to digitally represent all the physical and functional characteristics of a building. Importantly, in smart buildings smart components that are enabled with sensing and actuation need to be modeled accurately within the BIM model. This data representation needs to include multiple status of the smart component based on their performance to guide the design and construction process. However, currently there is not a clear methodology or guideline on how to embed smart components in the BIM model. Visualization techniques have been developed based on CAD technology to integrate smart components in the building model but these techniques have not been applied to BIM environment. To accurately model smart components, the component must be more than a single status representation and must contain complete and accurate dynamic data of the smart component. In this research, data properties, visualization techniques, and categorization of smart components is investigated. Then, through an experimental investigation, nine smart components across five building disciplines are modeled and embedded in a BIM model of a smart space. The model includes parameters that facilitate the data representation of the smart components. Data properties, data organization, and simulation of the smart component within the building model is explained. Challenges and future research is discussed.

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Section: Specifying Data Of Smart Componentsmentioning

confidence: 99%

An Experimental Investigation of the Integration of Smart Building Components with Building Information Model (BIM)

Afsari¹,

Flórez²,

Maneke³

et al. 2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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“…Three displacement meters (D1, D2 and D3) were placed at 1/4 span, 1/2 span and 3/4 span of the specimen, respectively. The test specimen was originally utilized for deflection monitoring [6], and it was applied for verifying the proposed strategy for distributed rotation angle measurement of steel beams in this article. Details about the experiment setup are shown in figure 10 and 11.…”

Section: Case Study Of a Steel Beammentioning

confidence: 99%

“…For long-span bridges or building structures, fixed reference point is usually hard to be found, and therefore some researchers developed reference-free methods based on the relationship between strain responses and deflection of structures. Some researchers investigated strain-based vertical deflection measurement according to double integral method [5] and moment-area method [6], and dynamic deflection measurement of linear structures using the relationship between strain mode and dynamic displacement was also developed [7,8]. For concrete structures, the influence of cracks on deflection estimation was studied using direct [9] and indirect approaches [10].…”

Section: Introductionmentioning

confidence: 99%

“…This type of sensor is characterized by adjustable sensing length (from 5 to 200 mm) according to requirements, bare FBG embedded in the fiber-packaged tube which enables average strain measurement over the sensing length, and flexible packaging with small diameter. Detailed design and manufacture procedures of LGFOS sensors can be found in [6].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of distributed rotation angles of steel and concrete beams using fiber optic strain sensors

Hong

Duan

Qin

et al. 2019

Smart Mater. Struct.

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This article presents a reference-free strategy for monitoring distributed rotation angles along the steel and concrete beams based on fiber optic strain sensors. Firstly, moment-curvature analysis shows that distributed rotation angles of steel beams can be theoretically estimated by measured long-gauge strain. Meanwhile, the modified approach for reflecting the effect of randomly appeared cracks of concrete beams on neutral axis position is also established. Then, numerical simulation of several beams with different boundary conditions and load types is conducted, and simulation results indicate that the presented method can be used for all loading conditions and apply to different boundary conditions. Finally, the method is experimentally validated by the simply supported beam specimen made of steel subjected to impulsive loads, and cracked concrete beam subjected to static loading. In order to evaluate the accuracy of the estimated distributed rotation angles, the global index of vertical displacement calculated by the estimated distributed rotation angles is compared with the directly recorded data by displacement meters. Experimental results show that the method can obtain distributed rotation angles with high precision, and it will cause large relative error if material nonlinearity of cracked concrete beams is neglected.

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“…Although theoretically feasible, it appears to be unreliable due to the difficulty of determining the initial condition (displacement, velocity) for integration [15]. In addition to acceleration, the deflection can be reconstructed from measured strain data based on strain-deflection relationships (e.g., modal transformations and geometric relationships) [10,11,16]. However, strain data are very sensitive to noise and this method is not suitable for a structure that is subjected to irregular loads.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Deflection Measurement on Stiff Bridges with High Piers by Preloaded Spring Method

Wang,

Zhou,

Jiang

et al. 2024

Applied Sciences

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The deflection dynamic load allowance (DLA) of stiff bridges with high piers requires sub-millimeter accuracy. New technologies such as the vision-based optical method and GNSS are not yet recognized for use in DLA measurements due to their smaller SNR. Presently, the scaffolding method is widely utilized for dynamic deflection measurements in dynamic load tests owing to the reliability of employing rigid contact. When scaffolding is not available, engineers have to resort to a suspension hammer system. However, the mass eccentricity of the hammer, stretched-wire length, and wind will decrease the measurement accuracy. To overcome these drawbacks of the suspension hammer method (SHM), a preloaded spring method (PSM) and the related stretched-wire-spring system (SWSS) are proposed in this paper. The dynamic deflection of the coupled vehicle-bridge-SWSS was obtained by vehicle-bridge interaction (VBI) analysis. The sensitivity parameters of the PSM were analyzed and optimized to minimize the measurement error. Indoor experiments and field dynamic load tests were conducted to validate the feasibility and accuracy of the PSM. Additionally, the differences in dynamic deflection measurements between the PSM and SHM in windy environments were compared. The results show that, in a windless environment, the DLAs of the PSM are affected by the spring stiffness, stretched-wire length, and stretched-wire section stiffness, independently of the preload force. When the wind speed is less than or equal to 8 m/s and the pier height is less than 30 m, the maximum deflection measurement error of the PSM is −2.53%, while that of the SHM is −15.87%. Due to its low cost and high accuracy, the proposed method has broad application prospects in the dynamic deflection measurement of stiff bridges with high piers.

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An Indirect Method for Monitoring Dynamic Deflection of Beam-Like Structures Based on Strain Responses

Cited by 7 publications

References 23 publications

An Experimental Investigation of the Integration of Smart Building Components with Building Information Model (BIM)

An Experimental Investigation of the Integration of Smart Building Components with Building Information Model (BIM)

Estimation of distributed rotation angles of steel and concrete beams using fiber optic strain sensors

Dynamic Deflection Measurement on Stiff Bridges with High Piers by Preloaded Spring Method

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