Assessment of Structures

Simulation is just the first step

An essential part of the structural design is the qualified assessment based on FEA results and evaluation of product or structure reliability, performance and structural integrity in accordance with applicable norms and industrial standards (Eurocode, ASME, DIN, ISO-standards, etc.).


FEA Results Interpretation

Interpreting FEA results is where our engineers, based on their knowledge and experience, add great value as they decide if a design is acceptable and ready for manufacturing or needs to be modified. Our unique combination of practical engineering experience with sophisticated, state of the art FEA tools enables DesignTec to provide our customers advanced simulations along with qualified judgment of FEA results based on practical experience and industrial standards. The quest for cost-effective design fulfilling demands of structure integrity, reliability and serviceability is one of the most difficult challenges across many industries.


Advanced Structural Assessment through Process Automation

To increase the effectiveness of assessment process and reduce error-prone manual techniques we develop in-house tools and scripts for automated assessment of structures. Advanced structural assessment through process automation forms an integral part of virtual product development methods, where very large numbers of design alternatives are systematically and automatically explored. Typical examples of these methods are: sensitivity analysis, design exploration or optimization.


Structural integrity and failure

  • strength
  • stability
  • welding
  • fatigue (high- and low-cycle)
  • linear and nonlinear fracture mechanics
Haigh diagram


  • excessive deflections
  • local deformations
  • vibrations (displacement, velocity, acceleration)
  • signal processing (FFT,PSD, filtering)
  • foundation settlement and consolidation


  • 6σ design
  • Probability of failure
  • Reliability index
  • Simulation methods Monte-Carlo, LHS
  • First/second-order reliability method
  • Reliability-based sensitivity analysis