Accession Number:

AD1058354

Title:

Transforming Systems Engineering through Model Centric Engineering

Descriptive Note:

Technical Report

Corporate Author:

Stevens Institute of Technology Hoboken United States

Report Date:

2018-08-08

Pagination or Media Count:

240.0

Abstract:

This research task RT-168 addresses research needs defined by the United States US Army Research, Development and Engineering Command RDECOM Armament Research, Development and Engineering Center ARDEC in Picatinny, NJ. The purpose of this RT-168 Phase II final technical report is to document the refinement and expansion of those needs and the accomplishment provide through working sessions, demonstrations, presentations, models, prototype tools and reports provided to the ARDEC team, with particular focus on the updates since the start of Phase II in August 2017. These needs are characterized as overarching objectives and goals to elicit requirements for the Armament Virtual Collaboratory Environment AVCE integrated Model Based Environment iMBE. The AVCE iMBE is ARDECs envisioned concept of an integrated modeling environment - the system for designing future ARDEC systems or systems-of-systems. The intent is to understand the relationships between Systems Engineering SE activities and methods in the context of a Digital Thread concept developed by ARDEC.This research task focuses on the ARDEC-relevant needs for a transformation for systems engineering enabled by model-centric engineering MCE. Model-centric engineering can be characterized as an overarching digital engineering approach that integrates different model types with simulations, surrogates, systems and components at different levels of abstraction and fidelity across disciplines throughout the lifecycle. Industry is trending towards more integration of computational capabilities, models, software, hardware, platforms, and humans-in-the-loop. The integrated perspectives provide cross-domain views for rapid system level analysis allowing engineers from various disciplines using dynamic models and surrogates to support continuous and often virtual verification and validation for tradespace decisions in the face of changing mission needs.

Subject Categories:

  • Administration and Management

Distribution Statement:

APPROVED FOR PUBLIC RELEASE