An environmentally sensitive dynamic human model for LSS robustness studies with the V-HAB simulation

The development of efficient and safe Life Support Systems is one of the key drivers of the Global Solar System Exploration efforts. For each task performed by Life Support Systems (LSS) a great multitude of sub-system concepts exist and the challenge is to find the optimal combination of sub-systems for a given mission scenario. On a sub-system level the Equivalent Systems Mass (ESM) trade study approach is well suited to effectively compare sub-system options. On a system level in addition to ESM data time dependent sub-system performances within an overall system must be addressed. Criteria such as system stability, controllability and effectiveness must be considered in order to be able to assess the dynamic robustness of systems designed to the averages. In an effort to establish a dynamic simulation environment for this type of LSS optimizations the “Virtual Habitat” tool (V-HAB) is being developed at the Technical University of Munich (TUM). This paper introduces the most important part of the Virtual Habitat simulation, which is the human model.

[1]  Frank I. Katch,et al.  Exercise Physiology: Energy, Nutrition, and Human Performance , 2006 .

[2]  J. Holloszy,et al.  Time course of the adaptive responses of aerobic power and heart rate to training. , 1981, Medicine and science in sports and exercise.

[3]  T. Karlsen,et al.  Aerobic high-intensity intervals improve VO2max more than moderate training. , 2007, Medicine and science in sports and exercise.

[4]  David Kortenkamp,et al.  Simulating Advanced Life Support Systems for Integrated Controls Research , 2003 .

[5]  L. Finkelstein,et al.  Mathematical model of the human renal system , 1985, Medical and Biological Engineering and Computing.

[6]  J. Horowitz,et al.  Lipid metabolism during endurance exercise. , 2000, The American journal of clinical nutrition.

[7]  A. Johnson,et al.  The physiological regulation of thirst and fluid intake. , 2004, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[8]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[9]  D. Hostler,et al.  Fiber Type Composition of the Vastus Lateralis Muscle of Young Men and Women , 2000 .

[10]  K. Jacobs,et al.  Regulation of blood glucose homeostasis during prolonged exercise. , 2007, Molecules and cells.

[11]  S. I. Bartsev,et al.  An Approach to LSS Optimization Based on Equivalent System Mass, System Stability and Mission Success , 2007 .

[12]  J. Greenleaf,et al.  Problem: thirst, drinking behavior, and involuntary dehydration. , 1992, Medicine and science in sports and exercise.

[13]  S. Heymsfield,et al.  Hydration of fat-free body mass: new physiological modeling approach. , 1999, American journal of physiology. Endocrinology and metabolism.

[14]  M N Sawka,et al.  Fluid and electrolyte supplementation for exercise heat stress. , 2000, The American journal of clinical nutrition.

[15]  M. Falvo,et al.  Effect of Exercise Intensity on Fat Utilization in Males and Females , 2007, Research in sports medicine.

[16]  M. Sawka,et al.  Hydration effects on thermoregulation and performance in the heat. , 2001, Comparative biochemistry and physiology. Part A, Molecular & integrative physiology.

[17]  S. Ward,et al.  Influence of exercise intensity on the on‐ and off‐transient kinetics of pulmonary oxygen uptake in humans , 2001, The Journal of physiology.

[18]  F. Ferreira,et al.  A Mathematical Model of the Diluting Power of the Cortical Thick Ascending Limb of the Loop of Henle , 2006, The Journal of Membrane Biology.

[19]  L S Liebovitch,et al.  A model of epithelial water transport. The corneal endothelium. , 1981, Biophysical journal.

[20]  J A Romijn,et al.  Regulation of endogenous fat and carbohydrate metabolism in relation to exercise intensity and duration. , 1993, The American journal of physiology.

[21]  Julio A. Hernández,et al.  Modeling cell volume regulation in nonexcitable cells: the roles of the Na+ pump and of cotransport systems. , 1998, American journal of physiology. Cell physiology.

[22]  Guido Avanzolini,et al.  A comprehensive simulator of the human respiratory system: Validation with experimental and simulated data , 2007, Annals of Biomedical Engineering.

[23]  Brian J. Whipp The Control of Breathing in Man , 1987 .

[24]  R. Schmidt,et al.  Physiologie des Menschen , 1993, Springer-Lehrbuch.

[25]  Anton Zhukov,et al.  Model Confidence Level - A Systematic Metric for Development of a Virtual Space Habitat , 2009 .

[26]  A. Cowley,et al.  Vasopressin reduces cardiac function and augments cardiopulmonary baroreflex resistance increases in man. , 1986, The Journal of clinical investigation.

[27]  R. Seagrave,et al.  Human water, sodium, and calcium regulation during space flight and exercise. , 1999, Acta astronautica.

[28]  Guido Avanzolini,et al.  An integrated model of the human ventilatory control system: the response to hypoxia , 2001 .

[29]  M N Sawka,et al.  Physiological consequences of hypohydration: exercise performance and thermoregulation. , 1992, Medicine and science in sports and exercise.

[30]  K. Vinnakota,et al.  Computer Modeling of Mitochondrial Tricarboxylic Acid Cycle, Oxidative Phosphorylation, Metabolite Transport, and Electrophysiology* , 2007, Journal of Biological Chemistry.

[31]  Alberto Torasso,et al.  Dynamic plant simulation tool for LSS optimization , 2008 .

[32]  A. J. Bart,et al.  Mathematical analysis and digital simulation of the respiratory control system. , 1967, Journal of applied physiology.

[33]  S. Ward,et al.  Negative accumulated oxygen deficit during heavy and very heavy intensity cycle ergometry in humans , 2003, European Journal of Applied Physiology.

[34]  R. D. Hanson Respiratory heat loss at increased core temperature. , 1974, Journal of applied physiology.