WTB Bespoke Geotextiles

BGM

With the variety of geotextiles that are on offer in today?s construction market it is quite easy to select a product direct off the shelf for your project. However does your chosen grade of geotextile product actually fulfil the engineering requirements needed in your application? 'BGM' is a new approach to geosynthetic manufacture in as much that it is a system that tries to match up a unique geosynthetic solution to a particular engineering problem. This is achieved using the customer's extensive knowledge of the problems together with our 30 plus years of geotextile experience.

This experience covers geosynthetic manufacturing, geotextile property testing, product installation and laminating technology. Using 'BGM' you have the opportunity to develop a bespoke geosynthetic solution that may be significantly closer to solving your identified parameters and offer a more sustainable solution to that
of a standard product.

We can work with you to determine your requirement considering all attributes of geosynthetics including filtration, separation, reinforcement, drainage, protection, permeability, compressibility, radar detectability and environmental concerns.

One example of our BGM system is:

PW5 Radar Detectable Geotextile
Mainly used in the rail industry to constantly monitor the installed depth of newly laid ballast and determination of installed cross-fall. 'PW5' is a hybrid modification of a standard nonwoven geotextile, which is widely used as a separating geotextile in the construction industry. The radar detectable geotextile is manufactured by incorporating aluminium foil strips along the length of the roll and that are contained inside the fabric. With the aluminium strips inside the geotextile, they are protected from installation damage and their life expectancy is increased.

Trials showed in rail applications that the reflective strip provided a strong reflection (of radar waves) even when buried beneath up to 0.5m of ballast. Depth measurements suggested that ballast depths could be estimated to a degree of accuracy better than +/- 4%.