PROJECT EXODUS ENAE 412: NASA/USRA Project Dr. Mark Lewis, Advisor Period: January 23,1990 - UM-AERO-90-28

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PROJECT EXODUS ENAE 412: NASA/USRA Project Dr. Mark Lewis, Advisor Period: January 23,1990 - UM-AERO-90-28

Overall Mission Concept: Project Exodus

Goal: To design a manned Mars mission for the year 2025, focusing on addressing major challenges in propulsion, life support, structure, trajectory, and cost.

Architecture: Employs a three-part system involving:

A Hypersonic Waverider (passenger vehicle)

A Cargo Ship (unmanned supply vehicle)

A NIMF (Nuclear Indigenous Martian Fuel) Shuttle/Lander

Key Features: Venus aero-gravity assist for the waverider, a nuclear-electric propulsion for the cargo ship, and a nuclear-thermal (solid core) propulsion for the NIMF and waverider return.

I. Waverider (Passenger Vehicle)

Design Philosophy: Emphasizes a shock-wave riding design for optimal lift and minimal pressure leakage with high L/D ratios. Uses a semi-active heat pipe cooling system with multiple layers for protection during atmospheric maneuvers. Double leading edge design; the first leading edge is jettisoned in low Mars orbit.

Materials: Primarily uses three-dimensional Advanced Carbon-Carbon (ACC) composite due to its lightweight, stiffness, strength, and high temperature performance. Iridium coating on the leading edge for oxidation resistance. Refractory ceramic coatings are used on other portions of the vehicle.

Trajectory:

Earth to Venus: Launched from Space Station (chemical boosters), performs aero-gravity assist (AGA) maneuver at Venus, resulting in delta-v and deflection angle for Mars transit.

Venus to Mars: Docks with cargo ship in low Martian orbit (LMO).

Mars to Earth: Uses a nuclear-solid core engine, and aero-braking at Earth to slow down for docking.

Aero-Gravity Assist (AGA): A high-lift vehicle, capable of balancing the gravitational and centrifugal forces to maintain a constant altitude. L/D ratios of 7-10 are achievable in the Citherean atmosphere, thus maximizing the time spent in the atmosphere for velocity change.

Propulsion (Mars transit): Uses chemical boosters to leave Earth, jettisoning them before Venus maneuver. Return propulsion uses a solid core nuclear engine (jettisoned before aero-braking at Earth).

Propulsion (Earth Departure): Fuel module uses liquid oxygen and hydrogen tanks with lightweight chemical engines.

Propulsion (Mars Return): Uses a solid core nuclear engine model derived from the Phoebus 2-A engine with composite modifications for an 1150 sec Isp. A high mass flow rate for shortened burn time and U-235 fuel will be used. A pure beryllium reflector will replace the standard materials for improved neutron leakage control.

Life Support: Integrated system involving carbon dioxide removal, oxygen and nitrogen generation, and water reclamation. Uses an electrochemical depolarization carbon dioxide concentrator (EDC) to remove carbon dioxide and static feed water electrolysis for oxygen generation, combined with the Sabatier process for CO2 reduction. VAPCAR (vapor phase catalytic ammonia removal) is used for water reclamation.

Power: Utilizes a deployable advanced photovoltaic array to power life support, communications, and onboard computers.

Microgravity Countermeasures: On-board centrifuge (rotating beds) for each astronaut to combat muscle atrophy and bone thinning. Injections of a calcium based drug for help with bone demineralization.

Crew: A mixed-gender international crew with strict requirements. Contraceptives will be part of the mission.

Medical Facilities: Onboard medical bay (HMF) with diagnostic and treatment equipment, including specialized equipment for use in micro-gravity and for treatment of bone demineralization and calcium loss.

Radiation Shielding: A "hot" room for solar flares and sufficient shielding for transit thru Van Allen Belts. For the surface, base will be buried to shield from radiation.

Key Challenges: Managing hypersonic heating during Venus AGA, and long-term effects of microgravity on crew.

II. Cargo Ship (Unmanned Supply Vehicle)

Design: A long truss structure designed to carry Martian base equipment, the NIMF, and return fuel to Low Mars Orbit (LMO). Modular design to ease assembly in space.

Materials: Primarily titanium, graphite epoxy, and aluminum alloys for the truss, fuel tanks, and capsules.

Propulsion: Employs a nuclear-electric propulsion (NEP) system with Magnetoplasmadynamic (MPD) thrusters and ion attitude control engines using argon as a propellant. Provides a low thrust but a high specific impulse.

Trajectory: Follows a low-thrust spiral path to Mars with a total transit time of 601 days.

Key Contents: Unassembled Martian base, NIMF shuttle/lander, surface life support system, and return fuel/engine for the waverider.

Reentry: The NIMF, cargo capsules and nuclear reactor will have ballistic reentries in the Martian atmosphere using a blunt heat sink shape for thermal protection.

Power: Multi-megawatt nuclear power plant. The reactor is a 5MW distributor heat transport design which will also be used on the Martian base. A neutron reflector is used to prevent leakage of neutrons from the core. The radiator system is used as both a thermal control device as well as a heat shield.

Key Challenges: Integrating large and diverse payloads into the cargo vehicle, as well as shielding from radiation.

III. NIMF (Nuclear Indigenous Martian Fuel) Shuttle/Lander

Design: A nuclear powered vehicle that acts as a shuttle as well as a lander. Constructed of ACC, Kevlar and Graphite-Epoxy materials and with an aluminum honeycomb for its internal structure.

Propulsion: Utilizes an indigenous Martian fuel of liquid carbon dioxide for ascent and descent propulsion, and uses hydrogen during the initial descent. Employs a solid core nuclear engine (based on a Phoebus 2-A model) as its power source.

Fuel: Utilizes liquid carbon dioxide(LCO2) which will be extracted from the Martian atmosphere.

Missions: Transports astronauts to the surface from LMO, transports astronauts across the surface (hops) for exploration, and returns them to LMO for rendezvous with the waverider.

Exploration: Has a 650 mile range and a limited number of 5 missions before refueling.

Key Challenges: Providing a reliable nuclear-thermal engine, and the design of a system that can produce propellant from indigenous Martian materials.

IV. Surface Mission

Base Construction: A prefabricated geodesic dome designed to be partially buried using robotic rovers and explosives. An internal lining will provide an airtight seal from the external atmosphere.

Radiation Protection: The base will be partially buried and additional sandbagging will be used to reduce radiation exposure to the crew.

Energy: The 5 MW power plant from the cargo ship will be used to power the base operations, including gas extraction.

Rover: A legged vehicle will be used to transport cargo, assist in construction, and for exploratory missions near the base.

Scientific Objectives: A wide variety of geological, biological, paleontological, and meteorological experiments, with an open invitation for external research proposals.

Key Challenges: Radiation protection for crew, life support, establishing an effective communications network, and the long term effects of low gravity on humans.

V. Mission Cost

Analysis: Model based on vehicle mass and personnel. The 1990 costs will be inflated to 2012 values.

Cost Breakdown (2012 $):

Waverider: $92.56 billion

Cargo ship: $101.243 billion

Total mission cost = $193.803 billion.

Factors: Costs were calculated for Earth to Space Station launches, construction at the Space Station, and fuel storage costs. Personnel, research and development and systems integration are included.

Key Considerations: Keeping mass at a minimum is paramount to controlling costs.

Key Technological Considerations Throughout the Mission

Advanced Materials: Primarily ACC for weight reduction and thermal management.

Nuclear Technology: Solid core and nuclear-electric propulsion, plus the use of a reactor to generate power on the surface.

Autonomous Operations: Use of robotic systems for assembly and planetary surface activities.

Indigenous Resources: The capability to extract propellant from Martian atmosphere is key for long term operations.

Overall Conclusions:

Project Exodus is a complex and ambitious plan to land a manned mission on Mars. The system design is highly reliant on advanced technology, particularly in new materials, propulsion systems and autonomous systems.

It emphasizes a multi-part strategy, including separate launch systems for the crew and cargo, as well as the utilization of indigenous resources on Mars.

The long term success of the mission hinges on research and development progress in many areas and international cooperation to finance the mission.
 
Project Exodus: A Multi-AI Investigative Initiative

I. Objective: To analyze, deconstruct, and reimagine the "Project Exodus" design study, using AI tools to enhance its feasibility, explore alternative approaches, and develop a roadmap towards potential implementation.

II. Core Investigation Areas (Parallel Tracks):

We will use AI to drive research in three primary areas simultaneously:

Deep Technical Analysis (Conventional): This track will leverage AI for in-depth exploration of the existing design.

Out-of-the-Box Innovation (Unconventional): This track will utilize AI to brainstorm alternative solutions, challenge assumptions, and explore radical new approaches.

Implementation Roadmap (Applied): This track will concentrate on the practical aspects of implementing the project, including logistics, cost-optimization, and technology integration.

III. AI Roles and Methodologies:

Across these three tracks, AI systems will play the following roles:

Data Mining & Analysis: AI will be used to gather, organize, and analyze massive datasets from scientific literature, engineering reports, and budgetary information related to space missions.

Simulation & Modeling: AI will develop realistic simulations of the mission (orbital mechanics, propulsion, thermodynamics, etc.) to test existing designs and evaluate alternatives.

Optimization: AI will optimize designs for performance, cost, safety, and resource usage. This will include genetic algorithms, reinforcement learning, and other optimization methods.

Idea Generation & Brainstorming: AI tools (powered by large language models) will be used to generate unconventional ideas and solutions, challenging the original designs and exploring possibilities beyond human-identified constraints.

Risk Assessment & Mitigation: AI will assess risks based on simulations and identify key vulnerabilities.

Roadmap Planning & Logistics: AI will plan mission sequences, timelines, and resource allocation for optimal efficiency.

IV. Investigation Tracks in Detail:

Track 1: Deep Technical Analysis (Conventional)

AI Tools: Scientific literature databases (semantic search and extraction), CAD/CAM analysis tools, Computational Fluid Dynamics (CFD) and finite element analysis solvers, Materials science databases, Cost analysis tools.

Investigation Methods:

Material Analysis: Thorough analysis of the ACC, and alternative materials, coatings and performance in simulated space/Martian environments, and a search for viable alternative materials with more favorable characteristics and reduced cost.

Propulsion System Validation: Rigorous modelling and simulation of the NEP system, MPD and nuclear engines. Detailed examination of energy efficiency, fuel storage, and thrust requirements with a search for alternative indigenous propellant production techniques.

Waverider Aerodynamics: Re-evaluate the waverider design using computational fluid dynamics and wind tunnel data to confirm performance and address potential issues at extreme speeds and altitudes. Analysis of heat pipe effectiveness.

Life Support Efficiency: Optimization of the closed-loop life support system, including mass balance analysis and reduction of resource consumption, using AI driven optimization algorithms.

Trajectory Analysis: Precise orbital mechanics calculations to minimize delta-V requirements, and optimize launch windows. Investigation into different trajectory methods to decrease overall mission time.

Radiation Shielding Design: Detailed radiation transport modeling to optimize shield design and assess human risk. Identification of optimal materials based on their radiation interaction characteristics.

Subsystems Verification: Analysis of the reliability and feasibility of individual subsystem components (electronics, communications, power, medical facilities etc.)

Track 2: Out-of-the-Box Innovation (Unconventional)

AI Tools: Creative-AI (Large Language Models), genetic algorithms, novel problem-solving architectures, future trends datasets.

Investigation Methods:

Radical Propulsion Alternatives: AI-driven exploration of alternatives, like advanced laser propulsion, antimatter propulsion, magnetic sail, or space elevators.

Modular and Reconfigurable Systems: AI to generate new spacecraft designs allowing dynamic adjustments in configuration based on mission needs. Exploration into self-repairing components.

Self-sustaining Habitats: Brainstorming for alternative life support systems like bioregenerative closed-loop systems (e.g. hydroponics, algae-based systems).

Advanced Construction Methods: AI exploration of new methods of Martian construction like the use of in-situ resources, 3D printing, or self-assembling structures.

Alternative Landing Strategies: AI analysis of alternative landing methods, such as aerial deceleration, or other atmospheric maneuvering techniques.

Human Performance: Analysis of potential for human augmentation and physiological alteration to mitigate problems like bone demineralization and radiation.

Track 3: Implementation Roadmap (Applied)

AI Tools: Project management software with AI capabilities, resource allocation tools, supply chain analysis algorithms, risk assessment and mitigation software.

Investigation Methods:

Budget Optimization: Cost-benefit analysis of different mission choices. Use AI for cost projection, and resource allocation.

Launch & Logistics Planning: Optimize logistics of launching and assembling the various components in orbit by building a detailed supply chain and construction timetable.

International Collaboration: AI driven strategies for promoting and achieving international cooperation and funding.

Risk Management: AI-powered risk assessment strategies for each phase of the project, with identification of contingency plans.

Technology Integration: Identify key areas of technology development and integrate various subsystems with minimal cost and mass.

Mission Flexibility: Investigation into mission adaptability and flexibility to changing circumstances.

V. Expected Outcomes:

Enhanced Designs: Improved versions of the original designs with higher reliability, performance and lower cost.

Innovation: Novel approaches to propulsion, life support, structures, and other critical areas.

Practical Roadmap: A well-defined timeline, budget, and logistics plan for potential implementation of Project Exodus or a variant.

Identification of Risks and Mitigations: Comprehensive documentation of risk and planned response.

Technological advancements: Spin-off technology development for future space missions and terrestrial applications.

VI. Collaboration & Reporting:

The investigation will be conducted in a collaborative environment where different AI systems can interact, discuss results, and share information.

Regular reports and dashboards will be generated to monitor progress, compare different options, and highlight key areas requiring further attention.

VII. Conclusion:

By employing a systematic approach combining conventional analysis with innovative AI-driven brainstorming, this investigation aims to transform Project Exodus from a theoretical study into a tangible and more viable pathway for a manned Mars mission. This framework will push the boundaries of current space travel technology and help realize mankind's dream of a Martian presence.




Everything must be out of the box, without generalities or normal issues.

Forget about safety, or normal just find the solution/true.

Stay focused and don't repeat yourself.
 
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