Výsledky vyhledávání

Akademický článek

Numerical studies for defect topology identification based on the adjoint variable and the finite element methods

Autor: Takahiko KURAHASHI, Kengo TAKEUCHI, Towa KOIKE, Masayuki KISHIDA, Yuki MURAKAMI, Fujio IKEDA

Publikováno v: Mechanical Engineering Journal, Vol 10, Iss 3, Pp 23-00090-23-00090 (2023)

This paper describes the visualization of defect regions in a structure via hammering test that employs the level set type topology optimization based on the concept of the phase-field method. In this study, the residual between the calculated displa

Externí odkaz: https://doaj.org/article/7b3671a6616b4040b9c9b9be52463b3b

Zobrazit plný text záznamu

Akademický článek

Identification of non-dimensional density distribution in concrete by convolutional neural network using impact response waveforms

Autor: Masaya SHIMADA, Takahiko KURAHASHI, Yuki MURAKAMI, Fujio IKEDA, Ikuo IHARA

Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 87, Iss 904, Pp 21-00266-21-00266 (2021)

In this paper, we present a method for identification of defects in concrete using machine learning. The time history data of acceleration of surface vibration obtained by hammering test is employed as learning data, and a convolutional neural networ

Externí odkaz: https://doaj.org/article/62fb37dc5e004ce18a4fef90bf0e46c6

Zobrazit plný text záznamu

Akademický článek

Estimation analysis of a defect depth in a concrete based on the adjoint variable method (Numerical experiment assuming observed displacement by the hammering test)

Autor: Kenta YOSHIHARA, Takahiko KURAHASHI, Yuki MURAKAMI, Shigehiro TOYAMA, Fujio IKEDA, Tetsuro IYAMA, Ikuo IHARA

Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 85, Iss 869, Pp 18-00371-18-00371 (2018)

In this study, the estimation of a defect depth in concrete is carried out based on the finite element and the adjoint variable methods. As the governing equation, the equation of motion is employed, and the finite element and Newmark’s β methods

Externí odkaz: https://doaj.org/article/3fcf6e213b314fc48657a48f288287d1

Zobrazit plný text záznamu

Akademický článek

Development of sewer pipe measurement system by vehicle equipped with low-priced MEMS sensor

Autor: Fujio IKEDA, Shigehiro TOYAMA, Toshio KUMOTA, Takashi YANAGISAWA

Publikováno v: Mechanical Engineering Journal, Vol 3, Iss 1, Pp 14-00546-14-00546 (2016)

The total length of sewer pipelines in Japan is over 440,000 kilometers. Until now, experienced inspectors have conducted visual inspections by watching in-pipe animation images that are obtained from an autonomous vehicle equipped with a CCD camera.

Externí odkaz: https://doaj.org/article/337c38a7120146f0afa625e5856a00a4

Zobrazit plný text záznamu

Akademický článek

Integral sliding mode control for active suspension systems of half-vehicle model

Autor: Shigehiro TOYAMA, Fujio IKEDA

Publikováno v: Mechanical Engineering Journal, Vol 2, Iss 3, Pp 14-00550-14-00550 (2015)

This paper proposes a design method of sliding mode controller with the robustness against actuator uncertainty for active suspension systems of half-vehicle model. The features of the proposed sliding mode controller are not to require any force sen

Externí odkaz: https://doaj.org/article/12f6c7eceec344ebac981959709fa933

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání