STKO | Scientific ToolKit for OpenSees |

Scientific ToolKit for OpenSees

STKO (Scientific ToolKit for OpenSees) is an extended version of MPC, specialized to interact with OpenSees: STKO inherits all the capabilities of MPC in modeling, meshing, data preparation and visualization. It also contains extension modules to translate MPC models into input files for the OpenSees solver and to visualize analysis results with all the capabilities which MPC offers.

In addition focus is on the motivations that led to the development of this toolkit, and on the main design and implementation details.

STKO provides the HDF5 database library on standard and advanced visualization techniques in post-processing and the structure of the proposed file format.

It most of all includes Python-based scripting interface for manipulation and customization of results and the implementation of the new recorder class in OpenSees. STKO shows numerical applications. It also provides examples of soil-structure interactions, visualization of beam and shell data defined at gauss and at sub-integration points. Moreover the management of output database via user-defined scripts, extrapolation and manipulation of data for production of new custom results.

WHY Scientific ToolKit for Opensees IS SO INNOVATIVE

– PRE-PROCESSOR –

… features advanced CAD modeling tools, import-export of common CAD file formats, geometry repair tools, and a comprehensive set of meshing algorithms.

… is easily customizable via a python-based scripting interface. So custom components can be easily specified and added to the standard document, to fit the end-user needs.

… can then produce input files for OpenSees with all the information inputed by the user.

STKO & Analysis

CAD

Import-export of open file formats (STEP and IGES)

Curve modeling

Surface modeling

Solid modeling

Interface modeling

STKO & Analysis

MESH

Order:

Linear | Quadratic

Quadratic-serendipity

Edge Seed:

Uniform by divisions

Uniform by size

Biased by size and bias factor

Biased by number and bias factor

Dual-biased by size and bias factors

Dual-biased by size and bias factors

Algorithms:

2D un-structured for triangles and quadrilaterals

3D un-structured for tetrahedrons

2D structured for triangles and quadrilaterals

3D structured for hexahedrons

STKO & Analysis

PROPERTIES

Materials:

Uniaxial | nD

Sections:

Aggregator

Beam fiber-section

Shell layered-section

STKO & Analysis

CONDITIONS

SP constraints

MP constraints

Loads

Uniform exitation pattern

Multi-support exitation pattern

STKO & Analysis

ANALYSIS

Static

Transient

Eigenvalues

– POST-PROCESSOR –

… features all common visualization algorithms (edge/surface color map, volume rendering, iso-lines, iso-surfaces, vector plots, etc..). Post processing also includes advanced visualization algorithms for beam/column and shell elements equipped with discretized (fiber) cross sections.

… is easily customizable via a python-based scripting interface. Therefore, results can be estracted and manipulated using custom python-scripts, allowing the end-user to produce custom information.

Finally, STKO uses an efficient opensource third-party database library for storing results. The MPCORecorder is a new recorder class for OpenSees that allows OpenSees to write results data in the format required by STKO.

All these features in one Software: STKO, a revolutionary visualization toolkit for Opensees

STKO & Analysis

FILE AND DATABASES

Save/Load existing post-processor files (restore plots, charts, etc.)

Import of one or multiple MPCO output databases

STKO & Analysis

PLOTS

Deformed shape

Surface color map

Volume color map

Gauss-point plot

Beam/Shell fiber-section plot

Vector plot

Iso-surface plot

Streamlines

STKO & Analysis

CHARTS

Extract chart data from database:

From nodes

From gauss points

From fibers

2D Charts

STKO & Analysis

CUSTOM

Python scripting interface