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dow-uap-d48-report-september-1996
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cases the agreement gradually deteriorated for angles below ±100° while, in other cases,
agreement was remarkably good to ±40°. Below this, agreement was generally poor
except in a region between ±3° and ±6° where the theoretical and simulated curves
crossed.
As pointed out previously, for Atlas pad locations at the Cape essentially all significant
population centers (except ships) are located in the sectors from ±100° to ±180°. Thus
any B with the corresponding best-fit value of A can be used to compute launch-area
risks, irrespective of the assumed breakup qa. In unusual cases at the Cape or at other
launch locations, population centers may be located outside sectors of good agreement
for some B's. If such situations arise, a value of B should be used in the risk
calculations that produces the best fit over the largest sector possible, generally ±40° to
±180°. The values of B producing this result are listed in Table 22 as functions of
breakup conditions.

                       Table 22. Best-Fit Conditions for Atlas HAS
                          Breakup
                         Conditions             B            A
                            none              50,000        3.15
                           20,000            100,000        4.30
                           10,000            100,000        4.75
                            5,000          5,000,000        6.30

Although the selected values of A produce poor agreement in the sectors from 0° to
±40°, this does not mean that good agreement in this region is impossible. Instead, it
means that the value of A required to produce good agreement in the ±40° sectors will
produce poor agreement elsewhere. In special situations where the only population
centers of interest are within ±40° of the flight line, other values of A can be derived for
use in the risk calculations.
From a practical standpoint, the effort required to find a value of A that produces a
better fit within' ±40° or so of the flight line is unnecessary. Within this sector, the
Mode-4 failure response, which is almost 11 times more likely to· occur than a Mode-5
response, totally dominates the computed risks. As verification, the DAMP program
was run for the Atlas IIAS vehicle, and ship-hit contours plotted for three vastly
different pairs of A's and B's. The results are shown in Figure 16 through Figure 21,
where the total failure probability during the first two minutes of flight was assumed to
be 0.04, and the probabilities of Mode-4 and Mode-5 responses were 0.033 and 0.005,
respectively; For each A and B, ship-hit contours were computed for Mode 5 alone,
and then for all response modes. As expected, some downrange extension occurred in
the Mode-5 contours as the value of A was increased, since the higher the value of A,
the more concentrated impacts are near the flight line. When all response modes were
included in the calculations, contour differences were almost imperceptible, showing
the total dominance of Mode 4. If the calculations were remade with a Mode-4


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chartFigure 27. Titan Simulation Results with B = 1,000

Vision Description (EN)

Page 66 contains Figure 27, a technical graph displaying Titan Simulation Results with B = 1,000. The graph plots Percent 5-deg sector impacts (%) on a logarithmic y-axis from 0.1 to 100 against Angle from Flight Path (deg) from 0 to 180 on the x-axis. Multiple curves represent different scenarios with varying breakup conditions (none, 20,000, 10,000, 5,000) and A-value parameters. A brief introductory paragraph above discusses malfunction-turn impacts in 5° sectors and Mode-5 impact distributions. No visible classification markings, redactions, or signatures.

Descrição Vision (PT-BR)

A página 66 contém a Figura 27, um gráfico técnico exibindo Resultados de Simulação do Titã com B = 1.000. O gráfico traça Percentual de impactos em setores de 5 graus (%) em um eixo y logarítmico de 0,1 a 100 contra Ângulo a partir da Trajetória de Voo (graus) de 0 a 180 no eixo x. Múltiplas curvas representam cenários diferentes com condições de fragmentação variáveis (none, 20.000, 10.000, 5.000) e parâmetros de valor-A. Um breve parágrafo introdutório acima discute impactos de virada por disfunção em setores de 5° e distribuições de impacto Mode-5. Sem marcas de classificação, redações ou assinaturas visíveis.