PLAXIS - 2D Geotechnical Finite Element Software
Perform two-dimensional analysis of deformation and stability in geotechnical engineering and rock mechanics. Engineering companies and institutions in the civil and geotechnical engineering industry count on PLAXIS for a variety of projects. From excavations, embankments, and foundations to tunneling, mining, and reservoir geomechanics, engineers rely on PLAXIS as their go-to finite element analysis application. Use predefined structural elements and loading types in a CAD-like environment for fast and efficient model creation, allowing you more time to interpret the results.
Create finite element models
Efficiently create models with a logical geotechnical workflow. Define everything from complex soil profiles or geological cross-sections to structural elements, such as piles, anchors, geotextiles, and prescribed loads and displacements. Import geometry from CAD-files. Automatically mesh to create a finite element mesh almost immediately.
Assess stresses and displacements
Accurately model the construction process by activating and deactivating soil clusters and structural elements in each calculation phase with staged construction. With plastic, consolidation and safety analysis calculation types, a broad range of geotechnical problems can be analyzed. Constitutive models range from simple linear to advanced highly nonlinear models through which soil and rock behavior can be simulated. Well proven and robust calculation procedures ensure converging calculations and accurate results.
Analyze results with post-processing
Leverage powerful and versatile post-processing and display forces, displacements, stresses, and flow data in contour, vector, and iso-surface plots in various ways. Cross-section capabilities allow for a more detailed analysis of the results. Data can be copied from tables or via Python-based scripting for further processing purposes outside of PLAXIS. The Curve manager enables graph creation, plotting various types of results from available calculation data.