ABSTRACT

Continuous monitoring was carried out on the Ile Vierge lighthouse, the tallest stone lighthouse in Europe (82 m), built in 1902, where the upper part of the tower presents a crack pattern. The monitoring was implemented over 2.5 years to characterize the actions of temperature and wind and to determine their links with crack opening. The variation of each factor measured was analysed and possible correlations between the variables were sought. In addition, the temperatures measured on site were compared with the actions required by Eurocode 1. The quantity of data extracted made it necessary to develop a data analysis method combining Principal Component Analysis, Multiple Regression Analysis, and Artificial Neural Network Analysis. Thus, the long- and short-term behaviour of the instrumented cracks could be identified. The relative influences of the wind and the temperature on crack opening were given by a percentage assessment.

摘要

对建于1902年的欧洲最高石灯塔Ile Vierge灯塔（82m）进行了持续监测，塔的上部呈现裂缝图案。监测实施了 2.5 年，以表征温度和风的作用，并确定它们与裂缝打开的联系。分析了测量的每个因素的变化，并寻找变量之间可能的相关性。此外，现场测量的温度与欧洲规范 1 要求的操作进行了比较。提取的数据量使得有必要开发一种结合主成分分析、多元回归分析和人工神经网络分析的数据分析方法。因此，可以识别仪器化裂缝的长期和短期行为。