Pmass supports linear static analysis, the most common mechanical engineering analysis. Linear static analysis helps engineers determine the stress and strain distribution within the part when subjected to different loads. This information is crucial for assessing the structural integrity and ensuring that the part can withstand the applied loads without failure.
Developed based on peridynamic theory, Pmass is a powerful tool for studying failure in engineering parts and structures. Material damage is inherently modeled in Pmass, allowing for the simulation of fracture initiation and propagation along arbitrary paths without requiring specialized crack growth treatments.
Pmass supports the modeling and analysis of composite materials. Fiber-reinforced composite laminates can be modeled by assigning orthotropic material properties. Various failure models, including the Hashin criteria, are embedded in Pmass for comprehensive failure analysis. Additionally, Pmass supports the modeling of particle-reinforced composites, making it a versatile tool for analyzing different types of composite materials.
Pmass supports structural and failure analysis under quasi-static loading conditions. Quasi-static loading refers to a type of loading applied over a relatively long period, allowing the material to respond elastically due to the slow changes in loading.
Pmass supports structural and failure analysis under transient conditions, also known as dynamic loading. In structural mechanics, dynamic loading refers to the rapid and frequently changing application of loads over a short period of time.
Pmass supports hybrid loading conditions by combining quasi-static and transient solutions. This approach allows users to perform faster transient analyses by first applying a large quasi-static load up to the failure point, followed by transient loading for dynamic failure analysis.
Pmass's embedded Model Builder allows for the creation of complex 2D and 3D geometries, enabling the modeling of intricate engineering parts. Users can also embed various voids, cracks, and inclusions within these geometries.
Pmass's interactive Grid Generator tool enables model discretization into peridynamic points with customizable spacing. Various point placements are available, including quadrilateral (2D-3D), circular (2D), spherical, and cylindrical (3D). Pmass also offers multiple options for defining the family of a given peridynamic point.
Pmass engine is developed in C++ environment, and supports parallel processing using OpenMP. For larger projects, Pmass users can choose a AWS EC2 instance with higher number of cores for faster simulation.
In Pmass, a copy of simulation results is created and maintined on AWS S3 buckets in order to protect data against loss and corruption.
Pmass's embedded post-processing tool allows users to visualize the simulation results using scatter and line plots. In addition, users can download the simulation results as text files, so that other post-processing tools can used to visulize the results.
Pmass allows team members to share their projects under various access permission levels. Team members can access project information and collaborate from anywhere with an internet connection.
Your password is securely stored as a salted hash, ensuring that it is extremely difficult for unauthorized parties to access even if they gain entry to our database. Rest assured, we adhere strictly to our terms and conditions, which explicitly prohibit the sale, trade, or disclosure of your simulation data.
We employ encrypted hard drives located in external data centers to uphold top-tier data security standards. Security lies at the core of Pmass's principles, with a dedicated team solely dedicated to safeguarding data and platform integrity.