Selected clients

About us

Who we are

FluidMechanica is a specialist team for hydraulic and CFD studies of water and wastewater systems. We combine hands-on experience on large EPC and utility schemes with advanced numerical modelling and data-driven methods. FluidMechanica is the CFD and hydraulics division of Pulse Engineering.

Every assignment is built around your question. We give clear engineering recommendations, with plots and model files your team can reuse.

Our team

  • Hands-on experience for utilities and EPC contractors
  • Advanced CFD with ANSYS Fluent / CFX
  • Surge and transient analysis with WANDA and HAMMER
  • Water network, water quality and drainage modelling

How we work

  • Transparent assumptions and documented limitations
  • Operator-friendly summaries alongside technical detail
  • Mesh, sensitivity and calibration evidence for reviewers
  • Data, models and scripts delivered on request

What we do

Services provided

Specialist analyses for tanks, pump intakes, transmission mains, drainage networks and water quality, delivered across the UAE, the wider GCC and internationally.

Surge analysis

Pump trips, valve closure and surge vessel sizing for mains, networks and rising mains.

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CFD studies

Tank mixing and water age, pump intakes, manifolds and wastewater structures.

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Water network modelling

Pressures, pipe and pump sizing, and valve settings for potable, farm and irrigation networks.

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Water quality modelling

Water age, chlorine and chlorine dioxide decay, by-products and dosing strategy.

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Drainage & stormwater

Stormwater networks, pump stations and force mains to ADM criteria.

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AI optimisation & digital twins

Reinforcement learning controllers that cut pumping energy and excess pressure.

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Need something else? We also carry out custom studies and specialist reviews: independent design and model audits, data analysis and tailored support for utility and EPC teams. Get in touch →

Case studies

Recent projects

A selection of our latest studies. Each service page lists every project in that field.

Research

Peer-reviewed AI research

Our deep reinforcement learning method for real-time pump pressure control, trained on an EPANET digital twin of a regional transmission network, is published in the ASCE Journal of Water Resources Planning and Management. In the case study it held every DMA above minimum pressure and cut pumping energy by an estimated 14%.

Pumping energy saved by AI pressure control compared with conventional operation

Getting started

How to start a study

STEP 01

Send your drawings & data

Email layouts, profiles, pump or valve data and any existing model. Partial information is fine for a first look.

STEP 02

We confirm scope & fee

We set out the questions the study will answer, the scenarios, the deliverables and a fixed fee.

STEP 03

Study, report & handover

You receive clear recommendations, plots and, on request, the model files for your team.

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