Zobrazeno 1 - 10
of 342
pro vyhledávání: '"Makoto OHSAKI"'
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 21, Iss 4, Pp 1458-1471 (2022)
Branching structures are mechanically efficient in supporting large-span structures, such as free-form roofs. To support a roof with a specified geometry, we present a novel shape and topology optimization method to find the optimal branching structu
Externí odkaz:
https://doaj.org/article/83edb8f967414fc9a50399bf44fde24c
Publikováno v:
Japan Architectural Review, Vol 5, Iss 2, Pp 150-163 (2022)
Abstract A ductile fracture model is implemented to an elastoplastic constitutive model of steel material for large‐scale finite element analysis of steel frames. The stress modified critical strain model is extended to simulate the structural resp
Externí odkaz:
https://doaj.org/article/11893d07f0284d52ace053102d25113a
Autor:
Jingyao Zhang, Makoto Ohsaki
Publikováno v:
Japan Architectural Review, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract This paper presents an approach for the design of discrete architectural surfaces that are globally developable; that is, having zero Gaussian curvature at every interior node. This kind of architectural surface is particularly suitable for
Externí odkaz:
https://doaj.org/article/2a5910d7a2e74a2b8d364f586a8ed17c
Publikováno v:
Japan Architectural Review, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Superior design solutions (SDSs) of seven‐story steel buildings are obtained for the space frame system (SFS) and the perimeter frame system (PFS) in various types of structures such as moment frames (MF) and those with buckling restrained
Externí odkaz:
https://doaj.org/article/77113a697f094d24afb6945cbc271873
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
In this paper, we propose a method for bracing direction optimization of grid shells using a Deep Deterministic Policy Gradient (DDPG) and Graph Convolutional Network (GCN). DDPG allows simultaneous adjustment of variables during the optimization pro
Externí odkaz:
https://doaj.org/article/cc8d6570bf8e4794b4b4c5b9c03eb545
Autor:
Kentaro Hayakawa, Makoto Ohsaki
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines (folding lines) and can be folded and unfolded without
Externí odkaz:
https://doaj.org/article/8005356246a240c68a785b9cfecc10b0
Publikováno v:
Japan Architectural Review, Vol 3, Iss 4, Pp 445-458 (2020)
Abstract Superior design solutions of 7‐story steel buildings are obtained by the multiple start local search (MSLS) method, minimizing the steel volume for three types of structural systems: a space‐frame system with rectangular hollow structura
Externí odkaz:
https://doaj.org/article/f98cab53957f4ff2928334ce7d70df77
Publikováno v:
Frontiers in Built Environment, Vol 6 (2021)
A method is presented for extracting features of approximate optimal brace types and locations for large-scale steel building frames. The frame is subjected to static seismic loads, and the maximum stress in the frame members is minimized under const
Externí odkaz:
https://doaj.org/article/836b1afda7f64b249a72ba26de781275
Autor:
Kazuki Hayashi, Makoto Ohsaki
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
This paper addresses a combined method of reinforcement learning and graph embedding for binary topology optimization of trusses to minimize total structural volume under stress and displacement constraints. Although conventional deep learning method
Externí odkaz:
https://doaj.org/article/abcaa5cdcf0746d3a685c65636ab3a2b
Publikováno v:
Japan Architectural Review, Vol 1, Iss 4, Pp 419-430 (2018)
Abstract A method is presented for optimal placement of braces of plane frames using machine learning. The frame is subjected to static horizontal loads representing seismic loads. We consider the process of seismic retrofit by attaching braces. Ther
Externí odkaz:
https://doaj.org/article/e9fce29af75c4033bfa066cf503db0f1