MODIFICATION
A -- Vehicle Modeling and Improved Reliability
- Notice Date
- 3/20/2015
- Notice Type
- Modification/Amendment
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- ACC - Warren (ACC-WRN)(DTA), ATTN: AMSTA-AQ-AMB, E Eleven Mile Road, Warren, MI 48397-5000
- ZIP Code
- 48397-5000
- Solicitation Number
- W56HZV-14-R-0163
- Response Due
- 4/20/2015
- Archive Date
- 5/20/2015
- Point of Contact
- Rory Thelen, 5862829595
- E-Mail Address
-
ACC - Warren (ACC-WRN)(DTA)
(rory.g.thelen.civ@mail.mil)
- Small Business Set-Aside
- N/A
- Description
- UNCLASSIFIED: Distribution Statement A. Approved for public release. Type of Action: Market Survey POC: Jim Dusett, donald.j.dusett.civ@mail.mil Rory Thelen, rory.g.thelen.civ@mail.mil Response Date: 30 days from date of posting. *Please note: this Market Survey is the same Market Survey that was posted on 6 February 2014. Because this requirement has not changed, any respondents to the 6 February 2014 Market Survey may re-submit their original responses, or modify their responses as they see fit. DESCRIPTION OF INTENT: THIS IS A MARKET SURVEY REQUESTING INFORMATION IN SUPPORT OF THE FOLLOWING POTENTIAL REQUIREMENT. No contract will be awarded from this announcement. This is not a Request for Proposal (RFP) or an announcement of a forthcoming solicitation, nor is it a request seeking contractors to be placed on a solicitation mailing list. Response to this survey is voluntary and no reimbursement will be made for any costs associated with providing information in response to this market survey and any follow-on information requests. Data submitted in response to this market survey will not be returned. No solicitation document exists at this time, and calls requesting a solicitation will not be answered. POTENTIAL REQUIREMENT: The Army needs the capability to rapidly analyze the design of systems of varying complexity in order to model and predict the multi-physics reliability of military ground vehicles during their projected life. TARDEC is conducting a market survey to identify potential sources with the expertise necessary to manage and execute programs in modeling and simulation (M&S) to research and develop methodologies which will predict the reliability of these systems during both the design stage and throughout its life-cycle. The Government needs to reduce costs, and therefore requires the ability to accurately predict reliability of current and future ground vehicle systems utilizing multi-physics and multi-scale methodologies. Responses must address Issues of uncertainty or variability in manufacturing, materials, maintenance history, storage and usage history as it relates to the following objectives. Each response is expected to demonstrate and clearly document prior experience, especially industry and government experience, for at least 6 of the objectives listed. Responses that do not clearly address at least 6 or more of the objectives will not be considered. The objectives are as follows: (1) Mobility Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide Modeling and Simulation (M&S) methodologies in ground vehicle mobility, to include propulsion, suspensions, control, structures, and their impact on system mobility and reliability. Demonstrate expertise in quantifying the impact interaction with the environment has on the system level mobility and reliability. Demonstrate expertise in developing vehicle design M&S capabilities to identify the optimum and active balance of Mobility, and Survivability/Protection, while predicting Reliability impacts of mobility solutions. (2) Protection Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide M&S methodologies in ground vehicle Survivability and Protection, to include armor, active protection, signature, and their impact on reliability. Demonstrate expertise in materials used in the structure and design of vehicle protection systems and subsystems, increasing vehicle system reliability and survivability. Demonstrate expertise in developing vehicle design M&S capabilities to identify the optimum and active balance of Mobility and Survivability/Protection, while predicting Reliability impacts of the protection solutions. (3) Robotics Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide M&S methodologies in ground vehicle robotics, including control, human-autonomy interaction optimization, interaction with the environment, and impacts on reliability. Demonstrate expertise in developing robotic vehicle design M&S capabilities incorporating mobility, protection, control, autonomy, environment, and that predicts Reliability of the robotic system. (4) High Performance Computing for Multiscale, Multilevel, Physics-Based Reliability Models Objective: Demonstrate expertise in software development for High Performance Computing (HPC). Demonstrate expertise in current and emerging High Performance Computing hardware, architectures, and infrastructures. Demonstrate expertise to develop HPC-based methods for improved computational efficiency in the reliability-based and multidisciplinary design optimizations. Demonstrate expertise in software engineering, and the incorporation of Multi-scale, Multilevel, Physics-Based Reliability Models into HPC software codes and applications. Demonstrate the ability to apply software engineering techniques and generally-accepted IT practices to generate the requirements for and execute the writing of the code and documentation in support of those models. (5) Material Science Modeling Supporting Improved Reliability Objective: Demonstrate expertise in modeling techniques for predicting material strength under both low and high strain rates, for structural strength and fatigue. This should include metallic, non-metallic (including composites) and be able to address material changes caused by manufacturing processes such as stamping, casting, forging and bending. (6) Joint/fastener Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide models to determine the reliability of joint components, welds, bolts and other fastening methods, for structural applications (including high strain rate events). Demonstrate expertise to predict reliability over the lifecycle for all manner of joints and fastener methods. (7) Human Systems Integration Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide or propose new reliability-based ergonomically evaluated vehicular components incorporating CAD/CAM/CAE Virtual Development Design Tools, Vehicle systems Design and Engineering, Design Optimization, and Human Factors - with weighted factors related to seating, vision and visibility, comfort, mobility, telematics, cognition, and uncertainty. (8) Power and Energy Modeling Supporting Improved Reliability Objective: Demonstrate expertise to provide modeling methodologies that predict impacts of ground vehicle power and energy systems, and subsystems, to include existing and state-of-the-art power generation, energy storage, power/energy delivery, on overall system reliability. Demonstrate expertise in developing M&S capabilities to predict energy efficiency. (9) Development of a Reliability Integrated Data Environment (IDE) Objective: Demonstrate expertise to develop an integrated data environment (IDE) supporting the development and utilization of multi-scale, multilevel, multidisciplinary design optimizations and reliability assessments, as described in topics above. This objective focuses on the technology transfer of the deliverables of this contract to be integrated into TARDEC's Information Technology (IT) and Information assurance infrastructure. Includes the preparation and standardization of the methodologies, models and data to fit TARDEC's data management systems and practices. (10) Development of Data Analysis Software Tools Supporting Improved Reliability Objective: Demonstrate expertise in developing data analysis methodologies and software that adhere to open standards and open programming practices to analyze ground vehicle test data, simulation data, and operational performance data. This includes processing of domain specific metrics from sensor data, identifying confidence bounds on simulations and tests, and building algorithms that can forecast future events from historical data. RESPONSES DUE Responses to this Market Survey are requested no later then 30 business days after the announcement posting date, and should contain no more than 25 pages of text. RESPONSE FORMAT(S): ELECTRONIC: Responses must be submitted electronically and must be submitted in one of the three following formats: Microsoft Word, Microsoft Excel, or Microsoft Power Point. Due to firewall limitation, your response may not exceed a total file size of three and one-half (3.5) megabytes. If your response is longer than that due to the inclusion of graphics, for example, you may use multiple e-mail messages to submit increments of your response to stay under the maximum-size limitation of an individual e-mail. If you are submitting your response through multiple e-mails, the subject line must include a message similar to, quote mark Response to Vehicle Modeling and Improved Reliability, message 1 of 3, 2 of 3, 3 of 3, etc., quote mark as well as your organization's name. All interested entities, regardless of size, are encouraged to respond to this Market Survey. Please submit electronic responses and any questions prior to full response to Jim Dusett via email at donald.j.dusett.civ@mail.mil. Please format the subject line of the response email as follows; quote mark [Organization Name] response to Vehicle Modeling and Improved Reliability. GENERAL INFORMATION: The Government appreciates the time and effort taken to respond to this Market Survey. The Government acknowledges its obligations under 18 U.S.C. 1905 to protect information qualifying as quote mark CONFIDENTIAL quote mark under this statute. Pursuant to this statute, the Government is willing to accept any trade secret or confidential restrictions placed on qualifying data forwarded in response to the survey questions and to protect it from unauthorized disclosure subject to the following: 1. Clearly and conspicuously mark qualifying data as quote mark Trade Secret quote mark or quote mark Confidential quote mark and include the restrictive legend (all caps) quote mark CONFIDENTIAL quote mark as well as any explanatory text, so that the Government is clearly notified of what data needs to be appropriately protected. 2. In marking such data, please take care to mark only those portions of the data or materials that are truly trade secret or confidential (over breadth in marking inappropriate data as quote mark CONFIDENTIAL quote mark may diminish or eliminate the usefulness of your response - see item 6 below). Use circling, underscoring, highlighting or any other appropriate means to indicate those portions of each page which are to be protected 3. The Government is not obligated to protect unmarked data. Additionally, marked data that is already in the public domain or in the possession of the Government or third parties, or is afterward placed into the public domain by the owner or another party through no fault of the Government will not be protected once in the public domain. Data already in the possession of the Government will be protected in accordance with the Government's rights to the data, 4. Confidential data transmitted electronically, whether by physical media or not, whether by the respondent or by the Government, shall contain any restrictive legends as well as any explanatory text, on both the cover of the transmittal e-mail and at the beginning of the file itself. Where appropriate for individual portions only of an electronic file, use the restrictive legends quote mark CONFIDENTIAL DATA BEGINS: quote mark and quote mark CONFIDENTIAL PORTION ENDS. quote mark 5. In any reproductions of technical data or any portions thereof subject to asserted restrictions, the Government shall also reproduce the asserted restriction legend and any explanatory text. 6. The Government sometimes uses support contractors in evaluating market-survey responses. Consequently, responses that contain confidential information may receive only limited or no consideration since the respondent's marking of data as quote mark Confidential quote mark will preclude disclosure of same outside the Government and therefore will preclude disclosure to these support contractors assisting the evaluation effort.
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- Place of Performance
- Address: ACC - Warren (ACC-WRN)(DTA) ATTN: AMSTA-AQ-AMB, E Eleven Mile Road Warren MI
- Zip Code: 48397-5000
- Zip Code: 48397-5000
- Record
- SN03674747-W 20150322/150320235024-3c8d8d294baa782d92f14c0bc0d4c12b (fbodaily.com)
- Source
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