Three-Dimensional Shaking Table Test of a Ten Story Rc Frame (2015)

Tosauchi, Yusuke; Sato, Eiji; Fukuyama, Kunio; Inoue, Takahito; Kajiwara, Koichi; Shiohara, Hitoshi; Kabeyasawa, Toshimi; Nagae, T.; Fukuyama, Hiroshi; Mukai, Tomohisa

doi:10.3130/aijs.83.1139

Cited by 9 publications

(16 citation statements)

References 1 publication

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“…In the test system, as an instrument for positioning, its main feature is that it can accurately transmit and detect a certain form of information and convert it into another form of information. In order to realize that the vision sensor has the functions of image acquisition, image processing, information transmission, and unit control, the hardware structure block diagram of the designed vision sensor is shown in Figure 3 [15].…”

Section: Smart Visionmentioning

confidence: 99%

[Retracted] 3D Kinematic Analysis of Intelligent Vision Sensor Image in Football Training

Luo

2021

Journal of Sensors

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With its advantages of high precision, noncontact, and high intelligence, intelligent visual sensor detection technology meets the requirements for online detection of motion status and intelligent recognition of motion images during sports activities, and its applications are becoming more and more extensive. In order to deeply explore the feasibility of using intelligent vision sensor technology to analyze the three-dimensional action of football, this article uses algorithm analysis method, technology summary method, and physical assembly method, collects samples, analyzes the motion model, streamlines the algorithm, and then creates a model based on intelligent visual sensor technology that can analyze the three-dimensional movement in football training. After the experimental objects are selected, the model is established in the ADM environment. All athletes do a uniform motion, the standard input motion speed is 5 m/s, they all move in the opposite direction relative to their respective coordinate axes, and the motion time is 6 seconds. The results show that the movement curves of the athletes in the three coordinate axis directions are basically the same. When the exercise time is 6 seconds, the coordinate values of the athletes on the three coordinate axes are all 0.992 m. We set six intensities in the experiment: 5%, 15%, 25%, 35%, 45%, and 55%. It can be found that as the noise intensity increases from 5% to 45%, the estimation error gradually increases, but as a whole, it is still at a relatively small level. It shows that the algorithm in this paper still has practical significance. It is basically realized that under the guidance of intelligent vision sensor technology, a model can be designed to successfully and efficiently analyze the three-dimensional movement pattern in training.

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Section: Smart Visionmentioning

confidence: 99%

[Retracted] 3D Kinematic Analysis of Intelligent Vision Sensor Image in Football Training

Luo

2021

Journal of Sensors

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“…Table 2 shows the weight distribution 22 and initial values of each parameter for seismic response analysis. The first stiffness k 1j was set to a near value of the average stiffness that was derived from the transfer function of the top-floor acceleration to the acceleration on the shaking table.…”

Section: Nonlinear Response Analysis Model and Identification Overviewmentioning

confidence: 99%

“…Based on reference Tosauchi et al, 22 it was assumed that the RC building response was in the linear behavior. shows the convergence of the error norm with the MIEC method.…”

Section: 31mentioning

confidence: 99%

“…The test specimen is outlined based on the E-Defense experimental report by Tosauchi et al. 22 The test specimen is a ten-story RC building (RC10) designed and constructed according to the present seismic codes in Japan. Figure 1 shows the entire view of the specimen, and Figure 2 shows the drawings of the specimen and the measurement positions of the responses.…”

Section: Specimen Building and Shaking Programmentioning

confidence: 99%

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Physical parameters identification for full‐scale ten‐story reinforced concrete building with degrading tri‐linear model by modal iterative error correction method

Uesaka

Nabeshima

Nakamura

et al. 2021

Earthq Engng Struct Dyn

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To assess the post‐earthquake seismic safety of buildings, it is crucial to predict seismic response, and it is necessary to set the appropriate physical parameters of the response analysis model. Numerous methods have been proposed to identify physical parameters. However, most of them are limited to linear systems, and previous researches on nonlinear systems have difficulties in practical applications. In this paper, a nonlinear response analysis model is identified for a full‐scale ten‐story reinforced concrete building with the degrading tri‐linear stiffness model by the modal iterative error correction (MIEC) method, and the accuracy of this technique is discussed by comparing with the shaking table test.

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“…Considering this background, in this study, we have been aiming to develop a free‐standing base sliding and rocking system that is laterally unmovable during small and moderate earthquake motions but moves laterally during strong earthquake motions to suppress structural damage. In a shaking‐table test conducted in 2015, a cast iron plate was installed on the bottom surface of the grade beams of a building designed according to the current Japanese seismic design code, and the possibility of utilizing a free‐standing structure with cast iron plates for the reduction of seismic energy was confirmed 20–22 . In the 2015 experiments, the normalized base shears (NBSs) when the average sliding displacement exceeded 5 mm varied between 0.116 and 0.176.…”

Section: Introductionmentioning

confidence: 99%

Shaking‐table test results of a full‐scale free‐standing building with base sliding and rocking

Kang

Kajiwara

Tosauchi³

et al. 2023

Earthq Engng Struct Dyn

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This paper present results of shaking-table tests conducted in 2015 and 2018 on a free-standing base sliding and rocking system, which allows sliding and uplifting. A full-scale 10-story reinforced concrete (RC) building equipped with cast iron plates on the bottom surface of the grade beams was used as a specimen for 2015 and 2018 experiments. In 2018, the static friction coefficients of the specimen were 0.48 and 0.49, which was higher than that of the rustproofed specimens in 2015. In the experiments of 2015 and 2018, the normalized base shear (NBS) values when the sliding length of the building reached ≥1 mm were 0.0035-0.1795 and 0.1744-0.2748, respectively. In the shaking-table test corresponding to moderate earthquake motions, the 2018 specimen showed almost no lateral movement, whereas the 2015 specimen moved laterally. Therefore, more seismic energy was input into the specimen, and the maximum interstory drift ratio of the 2018 specimen was larger than that of the 2015 specimen. However, when the 50% amplitude excitation results of the 2015 seismic structural system are compared with those of the 2018 free-standing structural system, the 2018 results are approximately 0.57 times smaller. Thus, a free-standing structural system with cast iron plates to reduce earthquake energy could reduce damage to buildings. The 2018 specimen satisfies the concept of a free-standing base sliding and rocking system that does not move laterally during small to moderate earthquake motions but moves laterally during strong earthquake motions to suppress structural damage.

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Three-Dimensional Shaking Table Test of a Ten Story Rc Frame (2015)

Cited by 9 publications

References 1 publication

[Retracted] 3D Kinematic Analysis of Intelligent Vision Sensor Image in Football Training

[Retracted] 3D Kinematic Analysis of Intelligent Vision Sensor Image in Football Training

Physical parameters identification for full‐scale ten‐story reinforced concrete building with degrading tri‐linear model by modal iterative error correction method

Shaking‐table test results of a full‐scale free‐standing building with base sliding and rocking

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