specialist in detecting leakages in building-sealing systems   

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Quality control of building enclosures for metro stations
Quality control of building enclosures for metro stations
Quality control of building enclosures for metro stations
Quality control of building enclosures for metro stations
Quality control of building enclosures for metro stations

Quality control of building enclosures for metro stations

Project Quality control of building enclosures for metro stations
Location 2013 - 2014 - Copenhagen, Denmark
Description
The construction of underground stations, especially in dense urban areas, is associated with high investment costs and, in many cases, with great risks. It is essential to detect hydro-geological risk potential early for these technologically complex engineering projects in confined spaces. By performing quality control on sealing constructions immediately upon completion of the building works, the risk of hydrological damage can be reduced to a minimum.
 
TEXPLOR conducted quality controls of the secant pile walls and diaphragm walls at several metro stations in Copenhagen during the construction phase in the years 2013 – 2014. This allowed detected water passes to be repaired immediately. Delays in the subsequent excavation work could thus be avoided.
 
The Cityringen Project consists of two 16km tunnels with 17 new stations at depths of about 30 m. Construction should be completed by 2018.?The optimum time for an investigation is immediately after the completion of the building pit sealings (e.g. sheet piles walls, secant pile walls, diaphragm walls, HDI, jelly, water glass-sealed or underwater concrete slabs), and prior to excavation.
?For each investigation area, a large number of sensors simultaneously conduct several hundred measurements. The measurement data is stored in a database, analyzed and interpreted according to defined quality criteria.
 
The results are displayed on a contour map with local coordinates. The geological situation was explored by drilling profiles. TEXPLOR created a geological 3-D model based on the data.
 
The investigations were published in 2015 at the 10th Austrian Geotechnical Conference. Here is the link to the published article.