Deformation Monitoring of a Building Structure Using a Motion Capture System

Park, Hyo Seon; Park, Keunhyoung; Kim, Yousok; Choi, Sanghee

doi:10.1109/tmech.2014.2374219

Cited by 25 publications

(9 citation statements)

References 23 publications

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“…Spherical retro-reflective markers were placed on the skin of the subject to reflect the infrared rays for capturing displacement. The calibration of the cameras was the first step in this experiment (Park et al , 2014). Then, the braless subject was asked to stand still and upright with her arms outstretched, which was the initial static condition for each cycle of movement.…”

Section: Introductionmentioning

confidence: 99%

Computational modelling methods for sports bra–body interactions

Liang¹,

Yu²,

Chen

et al. 2020

IJCST

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PurposeThe breasts are mainly fatty and connective tissues with no muscles that directly support them, so wearing sports bras is one of the most effective means of alleviating the discomfort of breast movement and potential injury during vigorous physical exercise. However, the design and development processes of traditional sports bras are time-consuming and costly. Hence, a novel method of simulating the static contact pressure between a sports bra and women’s body based on the finite element (FE) and artificial neural network (ANN) models is developed in this study to contribute to the design considerations of sports bras.Design/methodology/approachThree-dimensional FE models of a female subject and sports bras with different fabric properties are developed to determine the amount of contact pressure exerted onto the body. The FE results are then verified by measuring the amount of pressure exerted by the sports bra on the skin with pressure sensors. The Taguchi technique is used to effectively reduce the number of trials from 625 to only 25 cases. These 25 results obtained through FE modelling are then used to provide the training set for the ANNs. Finally, a comparison between the FE and ANN results is carried out.FindingsA novel model of the static contact pressure between a sports bra and human subject based on the FE and ANN methods is presented in this paper. The root mean square error values show that there is only a small difference between the FE and ANN results.Originality/valueThe ANN function established in this study can be used to predict the mechanical behaviours of breasts and has a fundamental impact on the computer-aided design of functional garments in general.

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Section: Introductionmentioning

confidence: 99%

Computational modelling methods for sports bra–body interactions

Liang¹,

Yu²,

Chen

et al. 2020

IJCST

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“…The 3D movements of markers, which are deployed on bridges or buildings, can be captured by MCS with high accuracy and high sampling frequency. In civil engineering applications, MCS had been used for position measurement of structures under dynamic excitation [23,24,25]. Three-dimensional sensing devices (e.g., Microsoft Kinect) were originally developed for entertainment purposes but can recognize hand gestures and the human body.…”

Section: Introductionmentioning

confidence: 99%

An Improved Step-Type Liquid Level Sensing System for Bridge Structural Dynamic Deflection Monitoring

Sun

Cai

et al. 2019

Sensors

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Real-time and accurate monitoring of dynamic deflection is of great significance for health monitoring and condition assessment of bridge structures. This paper proposes an improved step-type liquid level sensing system (LLSS) for dynamic deflection monitoring. Layout of straight-line-type pipeline is replaced by step-type pipeline in this improved deflection monitoring system, which can remove the interference of the inclination angle on the measurement accuracy and is applicable for dynamic deflection monitoring. Fluid dynamics are first analyzed to demonstrate that measurement accuracy is interfered with by the fluid velocity induced by structural vibration, and ANSYS-FLOTRAN is applied for analyzing the influence range caused by the turbulent flow. Finally, a step-type LLSS model is designed and experimented with to verify the influence of the three key parameters (initial displacement excitation, step height, and distance from the measurement point to the elbow) on the measurement accuracy, and the reasonable placement scheme for the measurement point is determined. The results show that the measurement accuracy mainly depends on the turbulent flow caused by step height. The measurement error gets smaller after about 1.0 m distance from the elbow. To ensure that the measurement error is less than 6%, the distance between the measurement point and the elbow should be larger than 1.0 m.

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“…Some non-contact sensors have also been developed for direct measurement of structural displacement. For the non-contact sensor, Global Positioning System (GPS) is used for dynamic displacement measurement in two orthogonal directions (Chan and Xu, 2005); when the deformation is caused by an earthquake or typhoon or when the measured values are off by normal observation, the GPS is designed to identify the location (Fujino et al, 2000); Robotic Total Stations (RTSs) and Global Navigation Satellite System (GNSS) techniques, as an integrated manner, may provide efficient solutions for measuring three-dimensional (3D) displacements of structures (Peppa et al, 2018; Psimoulis and Stiros, 2013; Scaioni et al, 2018; Zhong et al, 2018); an unmanned aerial vehicle (UAV) with 3D digital image correlation was developed to monitor the health of bridges (Ellenberg et al, 2015; Park et al, 2015a, 2015b; Reagan et al, 2018; Ribeiro et al, 2014). The non-contact sensors overcome the disadvantages of contact sensors, but their application is still affected by many factors.…”

Section: Introductionmentioning

confidence: 99%

Deflection distribution estimation of the main arch of arch bridges based on long-gauge fiber optic sensing technology

Zhang

Sun

Wang

et al. 2019

Advances in Structural Engineering

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Deflection of the main arch of arch bridges is one of the main indices for supporting the alignment after construction and evaluating the structural performance. The existing sensing technology and analysis method for deflection monitoring have developed, but it is still difficult to monitor the deflection of the main arch of a long-span arch bridge with great height difference between measuring points. On the contrary, in recent years, with the outstanding advantages of fiber optic sensing technologies, a long-gauge fiber Bragg grating sensing technology has been used in structural health monitoring due to its characteristics, including reflecting the macro and micro information and being connected into network. For these reasons, the long-gauge fiber Bragg grating sensing technology is proposed to develop a method to monitor the deflection of the main arch of arch bridges. A curvature load method for deflection distribution estimation using strain measurements is proposed. It deduces the expression of the complex relation between the strain and the deformation on the main arch element and then separates the coupled strain on the element through the specific sensor layout. A series of simulation tests of the deck arch bridge, half-through bridge, and through arch bridge was conducted. It is concluded that the proposed method can not only be applied to these long-span arch bridges but also can identify the static and dynamic deflections of the main arch effectively.

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Deformation Monitoring of a Building Structure Using a Motion Capture System

Cited by 25 publications

References 23 publications

Computational modelling methods for sports bra–body interactions

Computational modelling methods for sports bra–body interactions

An Improved Step-Type Liquid Level Sensing System for Bridge Structural Dynamic Deflection Monitoring

Deflection distribution estimation of the main arch of arch bridges based on long-gauge fiber optic sensing technology

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