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SELFE is an open-source community-supported code. It is based on unstructured triangular grids, and designed for the effective simulation of 3D baroclinic circulation. Originally developed to meet stringent modeling challenges for the Columbia River estuary and plume, SELFE has now been extensively applied to study circulation in coastal margins around the world. Several related codes constitute an interdisciplinary modeling system that is growing organically around SELFE. Contact us at Major Characteristics SELFE uses a semi-implicit finite-element/volume Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in either hydrostatic and non-hydrostatic form). The numerical algorithm is high-order, robust, stable and computationally efficient. It also naturally incorporates wetting and drying of tidal flats.

Application areas • Cross-scale river-to-ocean circulation • Tsunami hazards • Storm surge • Sediment transport • Ecology & water quality • Oil spill • Short wave-current interaction (Wind Wave Model II).

Case Studies and Links to Academic Papers LUSAS Academic is used by universities, research institutes and teaching colleges worldwide for all types of finite element analysis. These case studies provide a number of illustrative uses of the software with the most recently added article at the top. • Mehrdad Bisadi, a PhD researcher at the University of Auckland, is using LUSAS to investigate the accuracy and reliability of the impact factors used to design and assess New Zealand rail bridges. The objective has been to fine-tune a LUSAS Bridge model prior to carrying out numerical modelling of the dynamic response of the viaduct for different train dynamic characteristics.

A weigh-in-motion system measured the train characteristics during field monitoring. The measured data was then used to define the train configurations in the LUSAS software. Interactive Modal Dynamics analysis with LUSAS computed the dynamic response of the viaduct during train crossings. A comparison between the measured and simulated results showed that the LUSAS model accurately predicts observed displacements. (414k) • The analytical power and design flexibility offered by the Finite Element Method (FEM) can be all too readily masked from the first time user by its apparent complexity. The steep learning curve can appear daunting when the method is first encountered, and FEM needs to be sensitively introduced, with carefully graded examples if students are not to be put off the subject completely. In this paper the author describes a strategy which he believes enables students to experience for themselves how beneficial FEM can be, whilst at the same time, warns them of the pitfalls and potential dangers.