Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepFND is an advanced, intuitive software solution specifically designed for the comprehensive design of deep foundation piles, combining both geotechnical and structural calculations in a seamless environment. This innovative tool empowers engineers to accurately calculate the axial geotechnical pile capacity, encompassing factors like skin friction and end bearing, while also allowing for the assessment of settlement responses based on Standard Penetration Test (SPT) or Cone Penetration Test (CPT) data. Furthermore, users can conduct thorough lateral pile analyses, focusing on displacement, shear, and moment, through specified head-loads or pushover methods. The software facilitates the design of individual piles, pile groups, and even pile rafts, accommodating various custom pile-cap geometries. DeepFND supports a wide range of pile types, including drilled, driven, continuous flight auger (CFA), caissons, drilled-in-displacement, micropiles, and helical piles, and effectively models soil-structure interaction through either soil springs or a sophisticated 3D finite-element analysis. Additionally, it allows for structural evaluations under both service and factored load conditions, adhering to numerous international design codes such as ACI, AISC, Eurocodes, AS/NZS, Chinese Standards, and AASHTO LRFD, ensuring versatility and compliance across different engineering standards. With its robust features and user-centric design, DeepFND stands out as an essential tool for engineers involved in deep foundation projects.
Description
Stable LM represents a significant advancement in the field of language models by leveraging our previous experience with open-source initiatives, particularly in collaboration with EleutherAI, a nonprofit research organization. This journey includes the development of notable models such as GPT-J, GPT-NeoX, and the Pythia suite, all of which were trained on The Pile open-source dataset, while many contemporary open-source models like Cerebras-GPT and Dolly-2 have drawn inspiration from this foundational work. Unlike its predecessors, Stable LM is trained on an innovative dataset that is three times the size of The Pile, encompassing a staggering 1.5 trillion tokens. We plan to share more information about this dataset in the near future. The extensive nature of this dataset enables Stable LM to excel remarkably in both conversational and coding scenarios, despite its relatively modest size of 3 to 7 billion parameters when compared to larger models like GPT-3, which boasts 175 billion parameters. Designed for versatility, Stable LM 3B is a streamlined model that can efficiently function on portable devices such as laptops and handheld gadgets, making us enthusiastic about its practical applications and mobility. Overall, the development of Stable LM marks a pivotal step towards creating more efficient and accessible language models for a wider audience.
API Access
Has API
API Access
Has API
Integrations
Alpaca
Automi
Gopher
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Deep Excavation LLC
Founded
2004
Country
United States
Website
www.deepexcavation.com/products/deepfnd-foundation-piles-software
Vendor Details
Company Name
Stability AI
Founded
2019
Country
United Kingdom
Website
stability.ai/
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering