A case study on displacement analysis of Vasa warship

IF 0.9 Q4 REMOTE SENSING
M. Eshagh, Filippa Johansson, L. Karlsson, M. Horemuz
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Abstract

Abstract Monitoring deformation of man-made structures is very important to prevent them from a risk of collapse and save lives. Such a process is also used for monitoring change in historical objects, which are deforming continuously with time. An example of this is the Vasa warship, which was under water for about 300 years. The ship was raised from the bottom of the sea and is kept in the Vasa museum in Stockholm. A geodetic network with points on the museum building and the ship’s body has been established and measured for 12 years for monitoring the ship’s deformation. The coordinate time series of each point on the ship and their uncertainties have been estimated epoch-wisely. In this paper, our goal is to statistically analyse the ship’s hull movements. By fitting a quadratic polynomial to the coordinate time series of each point of the hull, its acceleration and velocity are estimated. In addition, their significance is tested by comparing them with their respective estimated errors after the fitting. Our numerical investigations show that the backside of the ship, having highest elevation and slope, has moved vertically faster than the other places by a velocity and an acceleration of about 2 mm/year and 0.1 mm/year2, respectively and this part of the ship is the weakest with a higher risk of collapse. The central parts of the ship are more stable as the ship hull is almost vertical and closer to the floor. Generally, the hull is moving towards its port and downwards
瓦萨舰位移分析实例研究
摘要监测人工构筑物的变形对防止构筑物倒塌、挽救生命具有重要意义。这种过程也用于监测历史对象的变化,这些对象随着时间的推移不断变形。这方面的一个例子是瓦萨战舰,它在水下大约300年。这艘船从海底打捞上来,保存在斯德哥尔摩的瓦萨博物馆。为了监测船的变形,在博物馆建筑和船体上建立了一个测点网,并测量了12年。对船舶上各点的坐标时间序列及其不确定性进行了逐时估计。在本文中,我们的目标是统计分析船体运动。通过对船体各点的坐标时间序列进行二次多项式拟合,估计船体的加速度和速度。通过与拟合后各自的估计误差比较,检验了它们的显著性。我们的数值研究表明,由于船身的高度和坡度最高,船身后部垂直运动的速度和加速度分别约为2 mm/年和0.1 mm/年,这部分是船身最弱的部分,有较高的坍塌风险。由于船体几乎垂直且接近地面,因此船体的中央部分更加稳定。一般来说,船体是向其港口和向下移动
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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