Three-dimensional dynamic analysis of ancient buildings with novel high damping isolation trenches

Li, Jinbao; Hu, Zhong-Wei; Xu, Zhao‐Dong; Guo, Yingqing

doi:10.1177/10775463211010910

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…At present, 3D reconstruction technology has been widely used in the fields of dynamic face verification, urban scene classification, forest environment detection, 3D measurement of objects, etc. [7][8][9][10]. The SFM (structure from motion) algorithm is a three-dimensional reconstruction algorithm that determines the spatial and geometric relationship of the target by the movement of the camera shooting position.…”

Section: Introductionmentioning

confidence: 99%

Research on 3D Phenotypic Reconstruction and Micro-Defect Detection of Green Plum Based on Multi-View Images

Zhang

Huo

Liu

et al. 2023

Forests

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Rain spots on green plum are superficial micro-defects. Defect detection based on a two-dimensional image is easily influenced by factors such as placement position and light and is prone to misjudgment and omission, which are the main problems affecting the accuracy of defect screening of green plum. In this paper, using computer vision technology, an improved structure from motion (SFM) and patch-based multi-view stereo (PMVS) algorithm based on similar graph clustering and graph matching is proposed to perform three-dimensional sparse and dense reconstruction of green plums. The results show that, compared with the traditional algorithm, the running time of this algorithm is lower, at only 26.55 s, and the mean values of camera optical center error and pose error are 0.019 and 0.631, respectively. This method obtains a higher reconstruction accuracy to meet the subsequent plum micro-defect detection requirements. Aiming at the dense point cloud model of green plums, through point cloud preprocessing, the improved adaptive segmentation algorithm based on the Lab color space realizes the effective segmentation of the point cloud of green plum micro-defects. The experimental results show that the average running time of the improved adaptive segmentation algorithm is 2.56 s, showing a faster segmentation speed and better effect than the traditional K-means and K-means++ algorithms. After clustering the micro-defect point cloud, the micro-defect information of green plums was extracted on the basis of random sample consensus (RANSAC) plane fitting, which provides a theoretical model for further improving the accuracy of sorting the appearance quality of green plums.

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Section: Introductionmentioning

confidence: 99%

Research on 3D Phenotypic Reconstruction and Micro-Defect Detection of Green Plum Based on Multi-View Images

Zhang

Huo

Liu

et al. 2023

Forests

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“…In recent years, researchers across the world have conducted studies on ancient buildings, focusing on seismic performance [2][3][4], material properties [5][6], fire resistance [7][8], reinforcement techniques [9][10], dynamic characteristics [11][12], detection and monitoring methods [13][14], and safety assessments [15][16]. However, there is limited research on sorting the reinforcement and repair order of ancient buildings.…”

mentioning

confidence: 99%

Research on sorting reinforcement and repair order of ancient timber buildings based on an ordered fractile weight method

Gao,

Du,

Zhang

et al. 2024

Preprint

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Ancient timber buildings have existed for a long time. However, due to wood’s natural characteristics, it is prone to damage such as insect infestation, decay, and cracking, resulting in structural unsafety. Therefore, partial and intermittent reinforcement and repair are essential for maintaining ancient timber buildings. Due to limited financial and material resources, it is critical to determine and sort the priority order of reinforcing and repairing ancient timber buildings. In this study, an ordered fractile weighted method was adopted to establish a sorting method that reviews the incentive preferences of decision-makers during the information aggregation process and measures the development levels of the evaluated objects on various indicators. A case study was also used to trial the sorting method. By using the weighted sum with weights not equal to 1 in the information aggregation process, the aggregation values were reduced, thereby further highlighting the differences between the evaluated objects. The method was concluded to be flexible in application and could address the rational sorting of reinforcement and repair order for ancient timber buildings. Thus, it provides a basis for decision-making for the protection and management of ancient buildings.

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A multiple scattering formulation to design meta-trenches for mitigating low-frequency ground-borne vibrations induced by surface railways and subways

Cui

Marzani

et al. 2023

Journal of Sound and Vibration

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Three-dimensional dynamic analysis of ancient buildings with novel high damping isolation trenches

Cited by 3 publications

References 27 publications

Research on 3D Phenotypic Reconstruction and Micro-Defect Detection of Green Plum Based on Multi-View Images

Research on 3D Phenotypic Reconstruction and Micro-Defect Detection of Green Plum Based on Multi-View Images

Research on sorting reinforcement and repair order of ancient timber buildings based on an ordered fractile weight method

A multiple scattering formulation to design meta-trenches for mitigating low-frequency ground-borne vibrations induced by surface railways and subways

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