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Tilt Measurement Method of Wooden Columns in Traditional Timber Buildings Based on Adaptive RANSAC and PCA Method 认领 引用
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作者 Minyan Zhan Wei Yang +2 位作者 Minghao Wu Hsin-Yi Wang Yu-Hsien Ho 《Structural Durability & Health Monitoring》 EI 2026年第3期395-414,共20页
The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China.However,accurate measurement is challenging because these columns typically exhibit na... The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China.However,accurate measurement is challenging because these columns typically exhibit natural tapering,with diameters decreasing from the base to the top,and surface irregularities such as artificial cuts,cracks,and knots.Both the intrinsic geometric characteristics and surface defects reduce the precision of coordinate acquisition and the reliability of inclination estimation.To overcome these limitations,this study proposes a novel inclination measurement method for wooden columns in traditional timber buildings based on multi-section measurement and spatial line fitting.An adaptive random sample consensus algorithm is employed to effectively remove outliers induced by surface damage and measurement noise.Subsequently,principal component analysis is used to fit a three-dimensional spatial line through the center points of multiple cross-sections,enabling accurate computation of the inclination angle while accounting for structural imperfections.Moreover,the effects of damage defects,the number of measuring points,the measurement range,and the number of selected cross-sections on measurement accuracy are systematically investigated through statistical analysis,and corresponding recommended values for engineering practice are provided.The proposed method offers an efficient and reliable solution for inclination measurement,supporting the inspection and structural safety assessment of traditional timber columns. 展开更多
关键词 Traditional timber building inclination measurement of wooden column adaptive random sample consensus algorithm principal component analysis
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Three-dimensional(3D)parametric measurements of individual gravels in the Gobi region using point cloud technique 认领 引用
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作者 JING Xiangyu HUANG Weiyi KAN Jiangming 《Journal of Arid Land》 SCIE CSCD 2024年第4期500-517,共18页
Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materia... Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materials constituting the Gobi result in notable differences in saltation processes across various Gobi surfaces.It is challenging to describe these processes according to a uniform morphology.Therefore,it becomes imperative to articulate surface characteristics through parameters such as the three-dimensional(3D)size and shape of gravel.Collecting morphology information for Gobi gravels is essential for studying its genesis and sand saltation.To enhance the efficiency and information yield of gravel parameter measurements,this study conducted field experiments in the Gobi region across Dunhuang City,Guazhou County,and Yumen City(administrated by Jiuquan City),Gansu Province,China in March 2023.A research framework and methodology for measuring 3D parameters of gravel using point cloud were developed,alongside improved calculation formulas for 3D parameters including gravel grain size,volume,flatness,roundness,sphericity,and equivalent grain size.Leveraging multi-view geometry technology for 3D reconstruction allowed for establishing an optimal data acquisition scheme characterized by high point cloud reconstruction efficiency and clear quality.Additionally,the proposed methodology incorporated point cloud clustering,segmentation,and filtering techniques to isolate individual gravel point clouds.Advanced point cloud algorithms,including the Oriented Bounding Box(OBB),point cloud slicing method,and point cloud triangulation,were then deployed to calculate the 3D parameters of individual gravels.These systematic processes allow precise and detailed characterization of individual gravels.For gravel grain size and volume,the correlation coefficients between point cloud and manual measurements all exceeded 0.9000,confirming the feasibility of the proposed methodology for measuring 3D parameters of individual gravels.The proposed workflow yields accurate calculations of relevant parameters for Gobi gravels,providing essential data support for subsequent studies on Gobi environments. 展开更多
关键词 Gobi gravels three-dimensional(3D)parameters point cloud 3D reconstruction Random Sample Consensus(RANSAC)algorithm Density-Based Spatial Clustering of Applications with Noise(DBSCAN)
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