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History Tissue models Haldane Workman Bühlmann Physics of bubbles Spacecraft cabin atmospheres 1 2011 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu

First Class Assignment Four topics in the first section of the course Space Habitability Human Factors Anthropometrics Psychosocial Aspects Find a technical paper in two of the topic areas Post the paper (in PDF) and a summary (~0.5-1 page) to discussion board on Blackboard No duplication! There s an advantage in being first Due Thursday March 3rd 2

Discussion of Term Project Please go to Blackboard site and list team members (and innovative team names) for all teams First phase: design interior layout of X-Hab in configuration for 2011 test series Accommodations for four crew Diagrams coming for outer envelope Submit as slide package (no presentation) by March 18 (i.e., before Spring break) Second phase: full interior layout of two layers with life support and habitat elements 3

Caissons 4 Pressurized chambers for digging tunnels and bridge foundations Late 1800 s - caisson workers exhibited severe symptoms joint pain arched back blindness death

Brooklyn Bridge Designed by John Roebling, who died from tetanus contracted while surveying it Continued by son Washington Roebling, who came down with Caisson Disease in 1872 Competed by wife Emily Warren Roebling 110 instances of caisson disease from 600 workers 5

Decompression Sickness (DCS) 1872 - Dr. Alphonse Jaminet noted similarity between caisson disease and air embolisms Suggested procedural modifications Slow compression and decompression Limiting work to 4 hours, no more than 4 atm Restricting to young, healthy workers 1908 - J.B.S. Haldane linked to dissolved gases in blood and published first decompression tables 6

Supersaturation of Blood Gases Early observation that factor of two (50% drop in pressure) tended to be safe Definition of tissue ratio R as ratio between saturated pressure of gas compared to ambient pressure R = P N2 P ambient =0.79 (nominal Earth value) 50% drop in pressure corresponds to R=1.58 (R values of ~1.6 considered to be safe ) 7

Tissue Models of Dissolved Gases Issue is dissolved inert gases (not involved in metabolic processes, like N2 or He) Diffusion rate is driven by the gradient of the partial pressure for the dissolved gas dp tissue (t) dt = k [P alveoli (t) P tissue (t)] where k=time constant for specific tissue (min -1 ) P refers to partial pressure of dissolved gas 8

Solution of Dissolved Gas Diff. Eq. Assume ambient pressure is piecewise constant (response to step input of ambient pressure) Result is the Haldane equation: P tissue (t) =P tissue (0) + [P alveoli (0) P tissue (0)] 1 e kt Need to consider value of P alveoli P alveoli =(P ambient P H2O P CO2 + P O2 ) Q P alveoli = P ambient P H2O + 1 RQ RQ P CO2 Q where Q=fraction of dissolved gas in atmosphere ΔP O2 =change in ppo2 due to metabolism 9

Linearly Varying Pressure Solution Assume R is the (constant) rate of change of pressure - solution of dissolved gases PDE is P t (t) =P alv0 + R t 1 k P alv0 P t0 R k e kt This is known as the Schreiner equation For R=0 this simplifies to Haldane equation Produces better time-varying solutions than Haldane equation Easily implements in computer models 10

Tissue Saturation following Descent 11

Tissue Saturation after Ascent 12

Effect of Multiple Tissue Times 13

Haldane Tissue Models Rate coefficient frequently given as time to evolve half of dissolved gases: T 1/2 = ln (2) k k = ln (2) T 1/2 Example: for 5-min tissue, k=0.1386 min -1 Haldane suggested five tissue compartments : 5, 10, 20, 40, and 75 minutes Basis of U. S. Navy tables used through 1960 s Three tissue model (5 and 10 min dropped) 1950 s: Six tissue model (5, 10, 20, 40, 75, 120) 14

Workman Tissue Models Dr./Capt. Robert D. Workman of Navy Experimental Diving Unit in 1960 s Added 160, 200, 240 min tissue groups Recognized that each type of tissue has a differing amount of overpressure it can tolerate, and this changes with depth Defined the overpressure limits as M values 15

Workman M Values Discovered linear relationship between partial pressure where DCS occurs and depth M=partial pressure limit (for each tissue compartment) M 0 =tissue limit at sea level (zero depth) ΔM=change of limit with depth (constant) d=depth of dive M = M 0 + Md Can use to calculate decompression stop depth d min = P t M 0 M 16

PADUA (Univ of Penn.) Tissue Model Tissue T 1/2 (minutes) M 0 (bar) 1 5 3.040 2 10 2.554 3 20 2.067 4 40 1.611 5 80 1.581 6 120 1.550 7 160 1.520 8 240 1.490 9 320 1.490 10 480 1.459 17

Bühlmann Tissue Models Laboratory of Hyperbaric Physiology at University Hospital, Zurich, Switzerland Developed techniques for mixed-gas diving, including switching gas mixtures during decompression Showed role of ambient pressure on decompression (diving at altitude) Independently developed M-values, based on absolute pressure rather than SL depth Zurich 12 and 16-tissue models widely used 18

Bühlmann M-Value Models Modifies Workman model by not assuming sea level pressure at water s surface M = P amb b P amb =pressure of breathing gas + a b=ratio of change in ambient pressure to change in tissue pressure limit (dimensionless) a=limiting tissue limit at zero absolute pressure ZH-L16 model values for a and b a =2T 1 3 1/2 < bar > b =1.005 T 1 2 1/2 19

Physics of Bubbles Pressure inside a bubble is balanced by exterior pressure and surface tension P internal = P ambient + P surface = P ambient + 2γ r where γ=surface tension in J/m 2 or N/m (=0.073 for water at 273 K) Dissolve gas partial pressure P g =P amb in equilibrium Gas pressure in bubble P int >P amb due to γ All bubbles will eventually diffuse and collapse 20

Critical Bubble Size Minimum bubble size is defined by point at which interior pressure P int = gas pressure P g 2γ r min = P g p ambient r<r min - interior gas diffuses into solution and bubble collapses r>r min - bubble will grow r=r min - unstable equilibrium 21

Bubble Formation and Growth In equilibrium, external pressure balanced by internal gas pressure and surface tension Surface tension forces inversely proportional to radius 22

Clinical Discussion of DCS Tissue models are predictive, not definitive Every individual is different Overweight people more susceptible to DCS Tables and models are predictive limits - there will be outliers who develop DCS while adhering to tables Doppler velocimetry reveals prevalence of bubbles in bloodstream without presence of DCS symptoms - asymptomatic DCS 23

Implications of DCS in Space Flight Drop from sea level pressure to ~4 psi, 100% O2 pressure Equivalent to ascent from fully saturated 120 ft dive Launch in early space flight Extravehicular activity from shuttle or ISS R = P N2 = 14.7(0.78) P amb 4 =2.87 To have safe (R=1.4) EVA from shuttle requires suit pressure of 8.2 psi 24

Current Denitrogenation Approaches Depress to 10.2 psi for 12-24 hours prior to EVA Full cabin depress in shuttle Campout in air lock module of ISS Exercise while breathing 100% O2 In-suit decompression on 100% O2 (3.5-4 hours) 25

Historical Data on Cabin Atmospheres from Scheuring et. al., Risk Assessm ent of Physiological Effects of Atm ospheric Com position and Pressure in Constellation Vehicles 1 6th Annual Humans in Space, Beijing, China, May 2007 26

Spacecraft Atmosphere Design Space from Scheuring et. al., Risk Assessm ent of Physiological Effects of Atm ospheric Com position and Pressure in Constellation Vehicles 1 6th Annual Humans in Space, Beijing, China, May 2007 27

Effect of Pressure and %O 2 on Flammability from Hirsch, William s, and Beeson, Pressure Effects on Oxygen Concentration Flam m ability Thresholds of Materials for Aerospace Applications J. Testing and Evaluation, Oct. 2006 28

Atmosphere Design Space with Constraints from Scheuring et. al., Risk Assessm ent of Physiological Effects of Atm ospheric Com position and Pressure in Constellation Vehicles 1 6th Annual Humans in Space, Beijing, China, May 2007 29

Constellation Spacecraft Atmospheres from Scheuring et. al., Risk Assessm ent of Physiological Effects of Atm ospheric Com position and Pressure in Constellation Vehicles 1 6th Annual Humans in Space, Beijing, China, May 2007 30