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Dive into the research topics where Kevin Earle is active.

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Featured researches published by Kevin Earle.


AIAA SPACE 2014 Conference and Exposition | 2014

Asteroid Redirect Robotic Mission: Robotic Boulder Capture Option Overview

Daniel D. Mazanek; Raymond G. Merrill; Scott P. Belbin; David M. Reeves; Kevin Earle; Bo J. Naasz; Paul A. Abell

The National Aeronautics and Space Administration (NASA) is currently studying an option for the Asteroid Redirect Robotic Mission (ARRM) that would capture a multi-ton boulder (typically 2-4 meters in size) from the surface of a large (is approximately 100+ meter) Near-Earth Asteroid (NEA) and return it to cislunar space for subsequent human and robotic exploration. This alternative mission approach, designated the Robotic Boulder Capture Option (Option B), has been investigated to determine the mission feasibility and identify potential differences from the initial ARRM concept of capturing an entire small NEA (4-10 meters in size), which has been designated the Small Asteroid Capture Option (Option A). Compared to the initial ARRM concept, Option B allows for centimeter-level characterization over an entire large NEA, the certainty of target NEA composition type, the ability to select the boulder that is captured, numerous opportunities for mission enhancements to support science objectives, additional experience operating at a low-gravity planetary body including extended surface contact, and the ability to demonstrate future planetary defense strategies on a hazardous-size NEA. Option B can leverage precursor missions and existing Agency capabilities to help ensure mission success by targeting wellcharacterized asteroids and can accommodate uncertain programmatic schedules by tailoring the return mass.


AIAA SPACE 2008 Conference & Exposition | 2008

Strategic Analysis Overview

William Cirillo; Kevin Earle; Kandyce Goodliff; John D. Reeves; Chel Stromgren; Mark R. Andraschko; R. Gabe Merrill

NASA s Constellation Program employs a strategic analysis methodology in providing an integrated analysis capability of Lunar exploration scenarios and to support strategic decision-making regarding those scenarios. The strategic analysis methodology integrates the assessment of the major contributors to strategic objective satisfaction performance, affordability, and risk and captures the linkages and feedbacks between all three components. Strategic analysis supports strategic decision making by senior management through comparable analysis of alternative strategies, provision of a consistent set of high level value metrics, and the enabling of cost-benefit analysis. The tools developed to implement the strategic analysis methodology are not element design and sizing tools. Rather, these models evaluate strategic performance using predefined elements, imported into a library from expert-driven design/sizing tools or expert analysis. Specific components of the strategic analysis tool set include scenario definition, requirements generation, mission manifesting, scenario lifecycle costing, crew time analysis, objective satisfaction benefit, risk analysis, and probabilistic evaluation. Results from all components of strategic analysis are evaluated a set of pre-defined figures of merit (FOMs). These FOMs capture the high-level strategic characteristics of all scenarios and facilitate direct comparison of options. The strategic analysis methodology that is described in this paper has previously been applied to the Space Shuttle and International Space Station Programs and is now being used to support the development of the baseline Constellation Program lunar architecture. This paper will present an overview of the strategic analysis methodology and will present sample results from the application of the strategic analysis methodology to the Constellation Program lunar architecture.


AIAA SPACE 2008 Conference & Exposition | 2008

Logistics Modeling for Lunar Exploration Systems

Mark R. Andraschko; R. Gabe Merrill; Kevin Earle

The extensive logistics required to support extended crewed operations in space make effective modeling of logistics requirements and deployment critical to predicting the behavior of human lunar exploration systems. This paper discusses the software that has been developed as part of the Campaign Manifest Analysis Tool in support of strategic analysis activities under the Constellation Architecture Team - Lunar. The described logistics module enables definition of logistics requirements across multiple surface locations and allows for the transfer of logistics between those locations. A key feature of the module is the loading algorithm that is used to efficiently load logistics by type into carriers and then onto landers. Attention is given to the capabilities and limitations of this loading algorithm, particularly with regard to surface transfers. These capabilities are described within the context of the object-oriented software implementation, with details provided on the applicability of using this approach to model other human exploration scenarios. Some challenges of incorporating probabilistics into this type of logistics analysis model are discussed at a high level.


AIAA SPACE 2008 Conference & Exposition | 2008

A Comparison of Probabilistic and Deterministic Campaign Analysis for Human Space Exploration

R. Gabe Merrill; Mark Andraschko; Chel Stromgren; Bill Cirillo; Kevin Earle; Kandyce Goodliff

Human space exploration is by its very nature an uncertain endeavor. Vehicle reliability, technology development risk, budgetary u ncertainty, and launch uncertainty all contribute to stochasticity in a n exploration scenario . However, traditional strategic analysis has been done in a deterministic manner , analyzing and optimizing the performance of a series of planned missions. Histor y has shown that exploration scenarios rarely follow such a planned schedule. This paper describes a methodology to integrate deterministic and probabilistic analysis of scenarios in support of human space exploration. Probabilistic strategic analysis is u sed to simulate “possible” scenario outcomes, based upon the likelihood of occurrence of certain events and a set of pre -determined contingency rules. The results of the probabilistic analysis are compared to the nominal results from the deterministic anal ysis to evaluate the robustness of the scenario to adverse events and to test an d optimize contingency planning.


AIAA SPACE 2015 Conference and Exposition | 2015

Sustaining Human Presence on Mars Using ISRU and a Reusable Lander

Dale Arney; Christopher A. Jones; Jordan J. Klovstad; David R. Komar; Kevin Earle; Robert W. Moses; Hilary Shyface

This paper presents an analysis of the impact of ISRU (In-Site Resource Utilization), reusability, and automation on sustaining a human presence on Mars, requiring a transition from Earth dependence to Earth independence. The study analyzes the surface and transportation architectures and compared campaigns that revealed the importance of ISRU and reusability. A reusable Mars lander, Hercules, eliminates the need to deliver a new descent and ascent stage with each cargo and crew delivery to Mars, reducing the mass delivered from Earth. As part of an evolvable transportation architecture, this investment is key to enabling continuous human presence on Mars. The extensive use of ISRU reduces the logistics supply chain from Earth in order to support population growth at Mars. Reliable and autonomous systems, in conjunction with robotics, are required to enable ISRU architectures as systems must operate and maintain themselves while the crew is not present. A comparison of Mars campaigns is presented to show the impact of adding these investments and their ability to contribute to sustaining a human presence on Mars.


ieee aerospace conference | 2009

Lunar exploration architecture level key drivers and sensitivities

Kandyce Goodliff; William Cirillo; Kevin Earle; John D. Reeves; Hilary Shyface; Mark Andraschko; R. Gabe Merrill; Chel Stromgren; Christopher Cirillo

Strategic level analysis of the integrated behavior of lunar transportation and lunar surface systems architecture options is performed to assess the benefit, viability, affordability, and robustness of system design choices. This analysis employs both deterministic and probabilistic modeling techniques so that the extent of potential future uncertainties associated with each option are properly characterized. The results of these analyses are summarized in a predefined set of high-level Figures of Merit (FOMs) so as to provide senior NASA Constellation Program (CxP) and Exploration Systems Mission Directorate (ESMD) management with pertinent information to better inform strategic level decision making.


2018 AIAA SPACE and Astronautics Forum and Exposition | 2018

Mega-Drivers to Inform NASA Space Technology Strategic Planning

Melanie L. Grande; Matthew Carrier; William Cirillo; Kevin Earle; Christopher A. Jones; Emily Judd; Jordan J. Klovstad; David M. Reeves; Matthew Stafford

The National Aeronautics and Space Administration (NASA) Space Technology Mission Directorate (STMD) has been developing a new Strategic Framework to guide investment prioritization and communication of STMD strategic goals to stakeholders. STMD’s analysis of global trends identified four overarching drivers which are anticipated to shape the needs of civilian space research for years to come. These Mega-Drivers form the foundation of the Strategic Framework. The Increasing Access Mega-Driver reflects the increase in the availability of launch options, more capable propulsion systems, access to planetary surfaces, and the introduction of new platforms to enable exploration, science, and commercial activities. Accelerating Pace of Discovery reflects the exploration of more remote and challenging destinations, drives increased demand for improved abilities to communicate and process large datasets. The Democratization of Space reflects the broadening participation in the space industry, from governments to private investors to citizens. Growing Utilization of Space reflects space market diversification and growth. This paper will further describe the observable trends that inform each of these Mega Drivers, as well as the interrelationships between them within STMD’s new Strategic Framework.


2018 AIAA SPACE and Astronautics Forum and Exposition | 2018

Strategic Framework for NASA's Space Technology Mission Directorate

Kevin Earle; William Cirillo; Melanie L. Grande; Christopher A. Jones; Jordan J. Klovstad; David M. Reeves; Matthew Stafford

In October 2016, NASA’s Space Technology Mission Directorate (STMD) began adopting a new strategic framework that focuses investment prioritization and communication on impacts, outcomes, and challenges. The structure of the framework has been modeled after one successfully pioneered by NASA’s Aeronautics Research Mission Directorate over the past five years, incorporating lessons learned and changes where appropriate. The Framework is driven by two major factors: (a) dialogue with the community and (b) analysis of the overarching trends shaping the course of civilian space research. These factors are captured in the Framework as Mega-Drivers, which represent major axes of change within the space industry and are characterized by a collection of industry trends and projections. In response to these Mega-Drivers, STMD has developed its understanding of the vision for the future of civilian space relative to STMD space research, captured in five Strategic Thrusts that represent the major lines of investment within STMD’s portfolio. Within each of these Strategic Thrusts, multiple measureable, community-level goals have been established that STMD chooses to pursue as part of a joint effort across the community. STMD chose these goals based upon their potential impact, refers to them as Outcomes within the Framework. These Outcomes are decomposed into the products and/or capabilities that will be delivered by STMD, represented in the framework as Technical Challenges. This paper will further describe the framework structure and the progress that has been in defining each of the above elements to date.


AIAA SPACE 2016 | 2016

A COTS-Style Acquisition Strategy for Human Exploration Beyond LEO

Dale Arney; Kevin Earle; Jordan J. Klovstad; Christopher A. Jones

The Evolvable Mars Campaign presents a long term strategy for NASAs Journey to Mars within a capability driven framework. By comparing each element to a set of criteria, this paper reviews the potential of acquiring those capabilities using a strategy similar to the Commercial Orbital Transportation Services program. The paper presents the criteria, assesses the elements against those criteria, and then discusses the suitability of each element to being developed using this acquisition strategy. Throughout the campaign, certain capabilities are well suited to being developed in this manner while others are not. This assessment is a snapshot in time, and should be revisited as the campaign and/or commercial capabilities change. This paper will explore each of these elements in the campaign and discuss how the COTS development andacquisition strategy could or could not be applied to those elements. This assessment will be based on theservices or functionality required in the campaign, and will use the best practices discussed above to create acase for or against a COTS-style acquisition strategy for each given element.


Archive | 2008

Analysis of Logistics in Support of a Human Lunar Outpost

William Cirillo; Kevin Earle; Kandyce Goodliff; John D. Reeves; Mark Andrashko; R. Gabe Merrill; Chel Stromgren

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Chel Stromgren

Science Applications International Corporation

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Christopher A. Jones

Georgia Institute of Technology

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Dale Arney

Georgia Institute of Technology

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