
TYPSA
TYPSA is a group of independent consulting engineering firms working as one in civil engineering, architecture, building technology, energy and the environment.
Event organised by The British Tunnelling Society
This lecture will present an anchor wall design under intricate conditions, involving deep competent rock, water presence, asymmetric loads, and potential tunnel interference will be shown.
It will be demonstrated how a highly accurate representation of the actual conditions on site was achieved. This includes leveraging 3D BIM and Plaxis, and using advanced modelling techniques that enable the visualization, analysis, and manipulation of complex structural and geological data.
One of the highlights involved incorporating site-specific features and construction details, ensuring the developed solutions align with the practical construction methodologies, and can be seamlessly executed on-site.
TYPSA is a group of independent consulting engineering firms working as one in civil engineering, architecture, building technology, energy and the environment.
The BTS is a dynamic group of tunnelling professionals sharing knowledge within the industry.
TYPSA
structural engineer
Daniel is currently working as site support structural engineer in TYPSA and has 4 years of experience with projects based in Spain, Australia, Saudi Arabia, Latvia, and UK. He has a BachelorĀ“s Degree in civil and territorial engineering and a MSc in civil engineering from Technical University of Madrid. He has specialized in the design and calculation of structures. He has previously worked on the design of railway, hydraulic and underground projects.
Aimed at students, this series of seven webinars which runs until May 2025 will enable you to learn about professional life from recent graduates from across the industry.
A five session course delivered by industry experts to develop in-depth knowledge of health, safety, and wellbeing in civil engineering within the UK.
Explore AI-driven solutions for tunnel safety in seismic zones, focusing on the Himalayan Tunnelling Project. Learn how predictive models enhance resilience through data integration and machine learning, empowering smarter, risk-informed decisions for infrastructure design and maintenance.