CRUX Engineering Microservices BV (CEMS) software

PileCore Lazy Tool is an advanced geotechnical analysis software designed for efficient and accurate calculation of pile bearing capacities and settlements. The tool runs on the CPTCore and PileCore platforms and adheres to contemporary standards and guidelines. It offers a customizable experience, allowing users to personalize calculations. Key features include a 3D overview and modules like Gef-Model for soil classification via machine learning, NEN-Table for defining soil properties, and Pile Calculation modeling according to NEN9997-1. Additionally, it supports PyGef for reading GEF files and interpreting CPT data with the Robertson/Been and Jefferies models, and Soil Stress for analyzing soil pressure. PileCore Lazy Tool is ideal for professionals seeking accurate geotechnical insights. The Pro Version is available at €250 per year, accommodating a single user with an email-linked account.

The Foundation Suite offers a comprehensive package of geotechnical modules essential for foundation design. These modules cover various aspects, ranging from accurately determining the bearing capacity and pile lengths to assessing the influence area of vibrations resulting from pile installation.

PileCore V3.0 is a specialized software solution designed to enhance the calculation and design of bearing, tension, and anchor piles. Aligning with the NEN9997-1 standards and the 3rd edition of CUR236 (2023), PileCore excels in pinpointing the friction transition point, optimizing calculations based on specific soil classifications and pile types. This ensures precision in the design parameters for varied pile configurations. The software's Grouper functionality automates the grouping process of Cone Penetration Tests (CPTs), elevating efficiency in pile planning, optimizing load-bearing potential, and ensuring structural stability. Engineers benefit from PileCore's comprehensive capabilities—ranging from soil stress calculations to settlement and compression pile configurations—supported by AI-driven soil classification through models like the CEMS machine learning model and Robertson/Been & Jefferies. This makes PileCore an indispensable tool that aligns precision with reliability and operational efficiency.