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Research at Swansea University in the area of computational electromagnetics has led to better design of aircraft with respect to radar detection and the screening of internal systems from the effect of unwanted electromagnetic field ingress. A key issue was the development of an ability to accommodate electromagnetically large complex bodies having spatially small, but electromagnetically important, features. In addition, procedures for modelling RF threats, including lightning strikes and electromagnetic hazards, were also developed. Such progress has enabled significant improvement in electromagnetic performance of technology produced by BAE Systems reaching across its Advanced Technology Centre and its business units (Military Aircraft and Information, and Naval Ships). This research enabled two-orders-of-magnitude improvement in efficiency of BAE software compared to previously used techniques, significantly reducing design time. These developments were used on major international programmes such as TYPHOON, the Taranis UCAV (unmanned Combat Air Vehicle).
From 1995 Professor Munjiza's research at QMUL has led to the development of a series of algorithms which can predict the movement and relationship between objects. These algorithms have been commercialised by a range of international engineering and software companies including Orica, the world's leading blasting systems provider (via their MBM software package), and the software modelling company, Dassault Systems (via their Abaqus software). Through these commercialisation routes Munjiza's work has generated significant economic impact which is global in nature. For example, his predictive algorithms have enabled safer, more productive blast mining for Orica's clients — in one mine alone, software based on Munjiza's modelling approach has meant a 10% increase in productivity, a 7% reduction in costs and an annual saving of $2.8 million. It has also been used in Dassault Systems' Abaqus modelling software, which is the world's leading generic simulation software used to solve a wide variety of industrial problems across the defence, automobile, construction, aerospace and chemicals sectors with associated economic impact.
Computational research work at Swansea concerned with finite element/discrete element analysis, has made a profound impact on the solution of industrial problems. The development and implementation of novel computational algorithms and their subsequent application to leading edge engineering and scientific problems has been effected through the commercial software system ELFEN, developed collaboratively with Rockfield Software Ltd, a spin-out company from Swansea University. ELFEN has enabled the company to expand through the development of an international reputation as a leading provider of computational technology to the defence, manufacturing, oil recovery, mining and other sectors. Specific examples of economic benefit described in this case study are (i) design methodology for weight reduction in glass container production resulting in significant energy and CO2 emission savings and (ii) computational modelling of rock blasting operations leading to substantial economies in the mining industry.
Research by Gondzio (Maxwell Institute) on algorithms for large-scale optimization has led to major advances in the design of interior point methods (IPMs). The advances include new ways of exploiting centrality (1996-2008) as well as special preconditioning (2004) and warmstarting (2003, 2008) techniques. These techniques make it possible to solve more difficult optimization problems more quickly. Some of these have been implemented by all major commercial providers of optimization software including IBM, Gurobi, Mosek and FICO. The techniques have therefore had an economic impact on these companies and on thousands of their customers worldwide who now benefit from faster, more reliable methods to solve their challenging optimization tasks.
This case study concerns economic impact accruing in the aerospace engineering industry in Europe from software developed to perform stress analysis. Durham research has led to a spinout company, Concept Analyst, Ltd., and the software resulting from the research (Concept Analyst) is currently licensed by the following companies: BAE Systems (Brough, Samlesbury, Warton, Prestwick sites), Agusta Westland, Assystem, Jesmond Engineering, Spirit Aerospace. Trials are currently in place at Airbus UK and Bombardier, Canada. An agreement has been signed with the fatigue consultancy Jesmond Engineering, Ltd. to market the software within the aerospace sector. Economic impact arises from time savings for designers using Concept Analyst as compared to conventional commercial tools.
Novel numerical limit analysis methods developed in the Department of Civil and Structural Engineering have been embedded in commercial software developed by spin-out company LimitState (http://www.limitstate.com). The software is now used by over 100 industrial organisations in more than 30 countries.
The software can model real-world problems far more quickly (up to 50 times faster) than was previously possible, bringing significant productivity and economic benefits to practitioners and their clients, e.g.:
A computational aerodynamics design system (FLITE) developed by Swansea researchers has been of significant economic benefit to the aerospace industry. When introduced, the unstructured mesh FLITE approach was considered by BAE Systems to be a step change in their design cycle. Using FLITE, highly complex modern aerospace configurations could be analysed in short timescales. The FLITE system has since been utilised by a number of international organisations. Its use in the design of the BLOODHOUND project has also contributed to significant public engagement in science and engineering, including a large-scale education programme with which over 5,000 schools have fully engaged.
Research led by Professor Roger Fletcher has resulted in the development of a suite of algorithms that are now widely used throughout industry. An algorithm of fundamental importance constructed by Fletcher and co-workers is the filter method — a radically different approach to solving large and complex nonlinear optimization problems typical of those faced by industry. This algorithm was developed with the principal aim of providing a computationally reliable and effective method for solving such problems. The filter method is now utilised by a variety of high-profile industry end-users including IBM, Schlumberger, Lucent, EXXON, Boeing, The Ford Motor Company, QuantiSci and Thomson CSF. The use of the filter method has had a significant economic and developmental impact in these companies through enhanced business performance and cost savings.
Optimisation tools developed in the UoA have significantly advanced the ability to find the best designs for complex systems in cases where these were previously unobtainable. These optimisation tools have been implemented in several companies to shorten design times, reduce costs and reduce CO2 emissions. This has brought about new multi-million pound revenues, long-term contracts, increased employment and contribution to sustainability targets.
Molecular dynamics (MD) simulations are used extensively in chemistry, biology and material sciences, placing huge demands on computer resources. Because these simulations explore the behaviour of molecules at defined ambient temperature, temperature control (thermostatting) is an essential element of MD algorithms. In a series of papers published from 2009 on, Leimkuhler (Maxwell Institute) and his collaborators developed improved numerical methods for temperature control. They proposed new algorithms and analysed their properties (such as fidelity to the dynamical model, efficiency and stability). The new algorithms have since been implemented in the world's leading MD software packages including DL-Poly, AMBER, NAMD and Accelrys's Material Studio. The research has had clear economic impact on the commercial company Accelrys by improving its product, and more broadly on the community of MD code users worldwide by providing improved simulation tools.