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Are Overdesigned Structures Costing You More? Discover the Power of Sensitivity Analysis in the Cloud


Sensitivity Analysis

The design and analysis of geotechnical works depend on the accurate characterization of soil parameters and structures. However, the values used in finite element models are often subject to uncertainty due to spatial variability, data scarcity, or measurement errors. As a result, engineers tend to rely on conservative designs to mitigate risks associated with these unknown factors.


Sensitivity Analysis in geotechnics allows engineers to identify the most influential parameters in a numerical model, providing crucial insights to optimize designs and enhance the reliability of simulations. With advancements in High-Performance Cloud Computing (HPC), thousands of simulations can now be run simultaneously, drastically reducing computation times and enabling highly detailed analyses.


What is Sensitivity Analysis in Geotechnics?


Sensitivity Analysis is a methodology used in geotechnical engineering to evaluate how variations in soil properties and other parameters influence numerical model outcomes.


Benefits of Sensitivity Analysis in Geotechnics


  • Identification of critical parameters in foundation designs, slope stability, and excavations.


  • Optimization of geotechnical design by reducing unnecessary overdesign.


  • Higher precision in numerical simulations, minimizing uncertainty in predictions.


  • Reduction in costs and time for field and laboratory testing.


High-Performance Cloud Computing: Transforming Geotechnical Analysis


Cloud Computing has revolutionized geotechnical engineering by enabling massive simulations without requiring on-site specialized hardware.


How Does Cloud Computing Optimize Sensitivity Analysis?


  • Executes thousands of simulations in parallel, accelerating calculations.


  • Reduces analysis time, delivering results in hours instead of weeks.


  • Optimizes resources, eliminating the need for expensive infrastructure.


  • Improves design accuracy, avoiding unnecessary conservative assumptions.


Real-World Applications of Sensitivity Analysis in Geotechnics


1. Foundation Design


  • Identifies key parameters affecting load-bearing capacity.


  • Reduces overdesign, optimizing construction costs.


2. Slope Stability and Excavations


  • Evaluates the influence of geotechnical properties on the safety factor.


  • Optimizes the use of anchors and reinforcements, reducing costs.


3. Tunnels and Underground Excavations


  • Calibrates numerical models in real time.


  • Reduces uncertainty in ground behavior predictions.

DAARWIN: The Revolution of Sensitivity Analysis in the Cloud


DAARWIN has been designed to revolutionize geotechnical data management and analysis through a comprehensive digital platform. Its Sensitivity Analysis module enables:


  • Integration with PLAXIS and finite element models.


  • Parallel cloud-based computations, scaling up to hundreds of simultaneous simulations.


  • Advanced result visualization, identifying the most influential parameters.


  • Reduction of overdesign, optimizing structures efficiently and sustainably.


The New Era of Geotechnical Design


Sensitivity Analysis is a key tool for improving the efficiency and reliability of geotechnical designs. With the help of High-Performance Cloud Computing, engineers can perform large-scale simulations in record time, optimizing designs and reducing costs.


DAARWIN positions itself as a cutting-edge solution, allowing geotechnical engineering professionals to access advanced analysis technologies without the need for proprietary infrastructure, providing a significant competitive advantage in the construction and mining sectors.


The integration of tools like DAARWIN into the geotechnical workflow enables more informed decision-making, with models adjusted to real ground conditions, ensuring safer, more cost-effective, and sustainable projects.

For a detailed look at how cloud-based Sensitivity Analysis can optimize geotechnical projects and improve decision-making, visit:


 
European Innovation Council
CDTI
Enisa
Creand and Scalelab
Mott Macdonald
Cemex Ventures
Mobile World Capital
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