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pro vyhledávání: '"Yoshihiro KANNO"'
Autor:
Yoshihiro KANNO
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 18, Iss 5, Pp JAMDSM0064-JAMDSM0064 (2024)
The material behavior intrinsically possesses the aleatory uncertainty (i.e., the natural variability). Against uncertainty in a given data set of elastic material responses, this paper presents a data-driven approach to reliability-based truss topol
Externí odkaz:
https://doaj.org/article/7626c75fd14d45caa69c8ea7f6f80d62
Autor:
Yoshihiro Kanno
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 10, Iss 5, Pp 315-320 (2020)
Accelerated proximal gradient methods have recently been developed for solving quasi-static incremental problems of elastoplastic analysis with some different yield criteria. It has been demonstrated through numerical experiments that these methods c
Externí odkaz:
https://doaj.org/article/d3f841ced28843c19771791af2e7938f
Autor:
Yoshihiro Kanno
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 11, Iss 5, Pp 100289- (2021)
Data-driven computing in elasticity attempts to directly use experimental data on material, without constructing an empirical model of the constitutive relation, to predict an equilibrium state of a structure subjected to a specified external load. P
Externí odkaz:
https://doaj.org/article/7811f04a4abb47539f5b12f02939f59b
Autor:
Yoshihiro Kanno
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 8, Iss 6, Pp 361-365 (2018)
ABSTRACT: This paper presents a simple nonparametric regression approach to data-driven computing in elasticity. We apply the kernel regression to the material data set, and formulate a system of nonlinear equations solved to obtain a static equilibr
Externí odkaz:
https://doaj.org/article/fe13902fd9274f5898bc4d12922f9f2a
Autor:
Yoshihiro KANNO
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 14, Iss 1, Pp JAMDSM0008-JAMDSM0008 (2020)
A recently proposed data-driven approach to reliability-based design optimization of structures constructs a sufficient condition that the target reliability is guaranteed with the specified confidence level, without relying on any assumptions on sta
Externí odkaz:
https://doaj.org/article/c557b07606ab492c8041438b2f433ec8
Autor:
Shinnosuke FUJITA, Yoshihiro KANNO
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 85, Iss 872, Pp 18-00160-18-00160 (2019)
Advancement of computer technologies as well as the developments of structural materials and construction methods have enabled us to design a so-called free-form shell, which has complex shape and topology that cannot be categorized to traditional sh
Externí odkaz:
https://doaj.org/article/18cb833aa62044f6bd7e61650c292069
Publikováno v:
Frontiers in Built Environment, Vol 3 (2017)
A new method of robustness evaluation is proposed for an elastoplastic base-isolated high-rise building considering simultaneous uncertainties of structural parameters. Since it is difficult to evaluate the robustness of elastoplastic structures due
Externí odkaz:
https://doaj.org/article/4cfd378fa42a412bbc97e696560dc87e
Autor:
Kazuo YONEKURA, Yoshihiro KANNO
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 82, Iss 833, Pp 15-00337-15-00337 (2015)
We propose a Newton-gradient-hybrid optimization method for fluid topology optimization. The method accelerates convergence and reduces computation time. In addition, the fluid-solid boundaries are clearly distinguished. In the method, the optimizati
Externí odkaz:
https://doaj.org/article/42c4341b9dd7487fadd688d975031916
Autor:
Akatsuki Nishioka, Yoshihiro Kanno
Publikováno v:
Japan Journal of Industrial and Applied Mathematics. 40:877-905
We present an inertial projected gradient method for solving large-scale topology optimization problems. We consider the compliance minimization problem, the heat conduction problem and the compliant mechanism problem of continua. We use the projecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63591c24c920a08d855e64b0810db72
https://doi.org/10.1007/s13160-023-00563-0
https://doi.org/10.1007/s13160-023-00563-0
Autor:
Akatsuki Nishioka, Yoshihiro Kanno
Publikováno v:
Structural and Multidisciplinary Optimization. 66
We consider a worst-case robust topology optimization problem under load uncertainty, which can be formulated as a minimization problem of the maximum eigenvalue of a symmetric matrix. The objective function is nondifferentiable where the multiplicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19046f83673bdcfe0cea4cd0b9a38b0c
https://doi.org/10.1007/s00158-023-03543-7
https://doi.org/10.1007/s00158-023-03543-7