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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 韓仁毓(Jen-Yu Han) | |
dc.contributor.author | Yi-Chun Lin | en |
dc.contributor.author | 林以淳 | zh_TW |
dc.date.accessioned | 2021-06-16T05:11:17Z | - |
dc.date.available | 2016-08-25 | |
dc.date.copyright | 2014-08-25 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-18 | |
dc.identifier.citation | Baarda, W. (1968). 'A testing procedure for use in geodetic networks.' Delft, Kanaalweg 4, Rijkscommissie voor Geodesie, 1968. 1.
Berber, M., Dare, P., & Vaniček, P. (2006). Robustness analysis of two-dimensional networks. Journal of Surveying Engineering, 132(4), 168-175. Eringen, A. C. (1962). Nonlinear Theory of Continuous Media, New York: McGraw-Hill. Gere, J. M., & Goodno, B. J. (2009). Mechanics of Materials. Cengage Learning. Inc.: Independence, KY. Guo, J., Han, J. Y., Tserng, H. P., & Lin, C. T. (2013). Estimations and quality assessments of strain parameters of a deformation field. Paper presented at The First Australian and South-Asia Structural Engineering and Construction Conference, ASEA-SEC-1. Perth, Australia. Han, J. Y., Guo, J., & Zheng, Z. Y. (2011). 'Sensitivity analysis for the principal strain parameters of a deformation monitoring network.' Journal of surveying engineering, 138(3): 109-116. Han, J. Y., Van Gelder, B. H. W., & Soler, T. (2007). 'On covariance propagation of eigenparameters of symmetric nD tensors.' Geophysical Journal International, 170(2): 503-510. Han, J. Y., Van Gelder, B. H. W., & Lin, S. L. (2009). 'Rotation- and translation-free estimations of symmetric, rank-two tensors with a case study in LIDAR surveying.' Journal of Surveying Engineering, 136(1): 23-28. Koch, K. R. (1988). 'Bayesian statistics for variance components with informative and noninformative priors.' Manuscripta Geodaetica, 13: 370-373. Marjetič, A., Ambrožič, T., Turk, G., Sterle, O., & Stopar, B. (2009). 'Statistical properties of strain and rotation tensors in geodetic network.' Journal of Surveying Engineering, 136(3): 102-110. Mikhail, E. M., Bethel, J. S., & McGlone, J. C. (2001). Introduction to Modern Photogrammetry, John Wiley & Sons Inc. Mikhail, E. M., & Gracie, G. (1981). Analysis and Adjustment of Survey Measurements. New York: Van Nostrand Reinhold. Truesdell, C., & Noll, W. (2004). The Non-Linear Field Theories of Mechanics, Springer Berlin Heidelberg. Vaniček, P., Craymer, M. R., & Krakiwsky, E. J. (2001). 'Robustness analysis of geodetic horizontal networks.' Journal of Geodesy, 75(4): 199-209. Vaniček, P., Grafarend, E. W., & Berber, M. (2008). 'Short note: Strain invariants.' Journal of Geodesy, 82(4-5): 263-268. Wang, T. T., Jaw, J. J., Chang, Y. H., & Jeng, F. S. (2009). “Application and validation of profile–image method for measuring deformation of tunnel wall.” Tunnelling and Underground Space Technology, 24(2), 136-147. 經濟部中央地質調查所,2012。連續觀測地表變形,評估斷層活動潛勢。2014年6月10日,取自:http://www.moeacgs.gov.tw/info/view.jsp?info=539 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55941 | - |
dc.description.abstract | 變形分析係由測量而得的觀測資訊估計物體的變形量,甚至推測可能之破壞行為,無論在結構物監測、災害防治或地球物理領域均有相當廣泛之應用。實務上,變形分析主要架構於少數、高精度的觀測資訊,不足以描述物體整體的變形趨勢;另一方面,新興的測量技術如攝影測量之特徵點萃取與影像匹配或三維雷射掃描技術均可在短時間內獲取物體表面密集的觀測資料,應有助於呈現物體的變形趨勢。本研究之目標為改進現有變形分析方法,並建立應用巨量離散點資料的分析策略:首先,以位移模型配合虛擬觀測平差求解變形參數,推導對應之品質評估方法並進行靈敏度分析,增進變形分析成果的可靠性;其次,以網格式最鄰近點法或不規則三角網界定點位的鄰近關係、建構分析區塊,有效提升大量資料的處理效能。藉由模擬資料與實際資料實驗,不僅證實虛擬觀測平差能夠改善現有分析方法,更顯示本研究方法能直接應用於巨量觀測資料的分析,求得物體上完整的應變場、辨別顯著變形區域。 | zh_TW |
dc.description.abstract | Deformation analysis is crucial to applications of structural engineering, geodesy and geology, of which the main goal is to detect behaviors of a deformed body. At present most deformation analysis relies on a limited number of high accuracy observations. However, it is insufficient when it comes to describing the strain field on the entire object. Modern techniques, including digital photogrammetry and the Light Detection and Ranging (LiDAR), provide the possibility to obtain a large number of observations in a very efficient manner. These large amount of data can be used to better estimate strain field with appropriate analyzing methods. In this study, a method based on displacement gradient model and unified least-squares is proposed to improve classical deformation analysis; in addition, the corresponding quality assessment and sensitivity analysis are derived accordingly. Furthermore, using a nearest neighboring searching and triangulated irregular network, a strategy for analyzing vast number of observations is established. Numerical experiments based on both simulated and real data suggested that the proposed approach processed large data to detected behaviors of a deformed body in an effective and efficient way. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T05:11:17Z (GMT). No. of bitstreams: 1 ntu-103-R01521110-1.pdf: 2818661 bytes, checksum: 5fe1fc3f8830daef5a31e5cc1460c66d (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 摘要 I
Abstract II 目錄 III 圖目錄 VI 表目錄 VIII 第一章 緒論 1 1.1 前言 1 1.2 研究動機與目的 4 1.3 研究方法 5 1.4 論文架構 5 第二章 文獻回顧 7 2.1 變形的定義 7 2.1.1 描述變形的物理量 7 2.1.2 應變不變量 10 2.2 變形分析之數學模型 11 2.2.1 位移模型 11 2.2.2 仿射模型 12 2.2.3 數學模形之比較 13 2.3 應變參數解算方法 14 2.3.1 廣義平差與間接觀測平差 15 2.3.2 位移模型、仿射模型之參數求解方法 17 2.3.3 虛擬觀測平差 18 2.4 靈敏度分析 19 2.5 小結 20 第三章 研究方法 21 3.1 數學模型之建立:位移模型 21 3.2 虛擬觀測平差之引入 23 3.3 變形參數之品質評估 26 3.4 靈敏度分析:主應變之最小可偵測變形指標 30 3.5 巨量離散點資料應變場分析策略 32 3.5.1 最鄰近點法與網格式最鄰近點搜尋 32 3.5.2 TIN 與區塊擴張策略 34 3.6 以位移模型與虛擬觀測平差為基礎之應變分析流程 37 第四章 數值實驗 39 4.1 3D 離散點資料計算效能測試 39 4.1.1 資料蒐集 39 4.1.2 暴力法、網格式最鄰近點法與 TIN 之效能測試 40 4.1.3 網格分割數量對計算效能之影響 41 4.2 3D 變形模擬實驗 43 4.2.1 模擬資料 44 4.2.2 位移模型與仿射模型的比較 45 4.2.3 虛擬觀測平差的效用 46 4.2.4 變形顯著性分析 47 4.3 金屬材料變形試驗 48 4.3.1 實驗配置 49 4.3.2 位移模型應變場參數解算 50 4.3.3 變形顯著性分析 52 4.3.4 位移模型、仿射模型與應變計 53 第五章 結論與建議 56 5.1 結論 56 5.2 建議與未來工作 57 參考文獻 59 | |
dc.language.iso | zh-TW | |
dc.title | 應用位移模型與虛擬觀測平差法於應變場參數解算 | zh_TW |
dc.title | Strain Field Determination Based on Displacement Gradient Model and Unified Least-Squares Technique | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 高書屏,翁孟嘉,張哲豪 | |
dc.subject.keyword | 變形分析,應變場,離散點資料,結構物安全監測, | zh_TW |
dc.subject.keyword | Deformation analysis,Strain field,Dispersed point data,Structural health monitoring, | en |
dc.relation.page | 60 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-19 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
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