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Structural form-finding of bending components in buildings by using parametric tools and principal stress lines
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作者 Zhenya Yu Hang Dai Ziying Shi 《Frontiers of Architectural Research》 CSCD 2022年第3期561-573,共13页
This paper aims to provide an efficient and straightforward structural form-finding method for designers to extrapolate component forms during the conceptual stage.The core idea is to optimize the classical method of ... This paper aims to provide an efficient and straightforward structural form-finding method for designers to extrapolate component forms during the conceptual stage.The core idea is to optimize the classical method of structural form-finding based on principal stress lines by using parametric tools.The traditional operating process of this method relies excessively on the designer’s engineering experience and lacks precision.Meanwhile,the current optimization work for this method is overly complicated for architects,and limitations in component type and final result exist.Therefore,to facilitate an architect’s conceptual work,the optimization metrics of the method in this paper are set as simplicity,practicality,freedom,and rapid feedback.For that reason,this paper optimizes the method from three aspects:modeling strategy for continuum structures,classification processing of data by using the k-nearest neighbor algorithm,and topological form-finding process based on stress lines.Eventually,it allows architects to create structural texture with formal aesthetics and modify it in real time on the basis of structural analysis results.This paper also explores a comprehensive application strategy with internal force analysis diagramming to form-finding.The finite element analysis tool Karamba3D verifies the structural performance of the form-finding method.The performance is compared with that of the conventional form,and the comparison results show the practicality and potential of the strategy in this paper. 展开更多
关键词 Parametric design Structural formfinding Principal stress lines Classification algorithm KNN Internal force analysis bending components
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Study on Wood Bending Technology 被引量:1
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作者 LIU Zhijia1 LI Li2 BAO Fucheng1 WANG Ruijuan3 1. Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, P. R. China 2. Academy of Material Science and Technology, Beijing Forestry University, Beijing 100083, P. R. China 3. Beijing Woodworking Factory Co., Ltd, Beijing 100068, P. R. China 《Chinese Forestry Science and Technology》 2008年第2期15-22,共8页
Choosing optimum softening process and exploring the factors affecting dimensional stability and their changing laws can be able to provide technological support for development of curving furniture. The total rubber ... Choosing optimum softening process and exploring the factors affecting dimensional stability and their changing laws can be able to provide technological support for development of curving furniture. The total rubber wood samples were 112 [220 mm (longitudinal) × 17 mm (radial) × 8 mm (tangential)], and they were softened by boiling water and bent through using curved molds in the test. The optimum softening process was selected according to MOR value of the samples. Some affecting factors which influenced the dimensional stability of curving samples were investigated in the optimum softening process, including aging time, final moisture content of the samples, treatment time at a temperature of 100 ℃ and soaking time in water. The results indicate that the optimum softening process is as follows: softening temperature 112 ℃, saturation vapor pressure 0.16 MPa and softening time 3 h. All factors would affect the dimensional stability of curving samples, but the influence of soaking time in water was the most remarkable. When the aging time was 2 h and the final moisture content was 9.8%, the dimensional stability of the curving samples was the best. The chord change of the samples was great in the first 2 hours during heat treating process at a temperature of 100 ℃. 展开更多
关键词 wood bending components softening process dimensional stability affecting factor
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