Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
High-performing simulations of the s...
~
The University of Utah., Civil and Environmental Engineering.
Linked to FindBook
Google Book
Amazon
博客來
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions /
Record Type:
Electronic resources : Monograph/item
Title/Author:
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions // Matthew Lawrence Lund.
Author:
Lund, Matthew Lawrence,
Description:
1 electronic resource (159 pages)
Notes:
Source: Masters Abstracts International, Volume: 77-12.
Contained By:
Masters Abstracts International77-12.
Subject:
Aerospace engineering. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10120793
ISBN:
9781339819716
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions /
Lund, Matthew Lawrence,
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions /
Matthew Lawrence Lund. - 1 electronic resource (159 pages)
Source: Masters Abstracts International, Volume: 77-12.
The space radiation environment is a significant challenge to future manned and unmanned space travels. Future missions will rely more on accurate simulations of radiation transport in space through spacecraft to predict astronaut dose and energy deposition within spacecraft electronics. The International Space Station provides long-term measurements of the radiation environment in Low Earth Orbit (LEO); however, only the Apollo missions provided dosimetry data beyond LEO. Thus dosimetry analysis for deep space missions is poorly supported with currently available data, and there is a need to develop dosimetry-predicting models for extended deep space missions. GEANT4, a Monte Carlo Method, provides a powerful toolkit in C++ for simulation of radiation transport in arbitrary media, thus including the spacecraft and space travels. The newest version of GEANT4 supports multithreading and MPI, resulting in faster distributive processing of simulations in high-performance computing clusters. This thesis introduces a new application based on GEANT4 that greatly reduces computational time using Kingspeak and Ember computational clusters at the Center for High Performance Computing (CHPC) to simulate radiation transport through full spacecraft geometry, reducing simulation time to hours instead of weeks without post simulation processing. Additionally, this thesis introduces a new set of detectors besides the historically used International Commission of Radiation Units (ICRU) spheres for calculating dose distribution, including a Thermoluminescent Detector (TLD), Tissue Equivalent Proportional Counter (TEPC), and human phantom combined with a series of new primitive scorers in GEANT4 to calculate dose equivalence based on the International Commission of Radiation Protection (ICRP) standards. The developed models in this thesis predict dose depositions in the International Space Station and during the Apollo missions showing good agreement with experimental measurements. From these models the greatest contributor to radiation dose for the Apollo missions was from Galactic Cosmic Rays due to the short time within the radiation belts. The Apollo 14 dose measurements were an order of magnitude higher compared to other Apollo missions. The GEANT4 model of the Apollo Command Module shows consistent doses due to Galactic Cosmic Rays and Radiation Belts for all missions, with a small variation in dose distribution across the capsule. The model also predicts well the dose depositions and equivalent dose values in various human organs for the International Space Station or Apollo Command Module.
English
ISBN: 9781339819716Subjects--Topical Terms:
1002622
Aerospace engineering.
Subjects--Index Terms:
Apollo
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions /
LDR
:04176nmm a22004573i 4500
001
2427528
005
20260911085159.5
006
m o d
007
cr|nu|||||||||
008
260929s2016 miu||||||m |||||||eng d
020
$a
9781339819716
035
$a
(MiAaPQD)AAI10120793
035
$a
(MiAaPQD)utah:13280
035
$a
AAI10120793
040
$a
MiAaPQD
$b
eng
$c
MiAaPQD
$e
rda
100
1
$a
Lund, Matthew Lawrence,
$e
author.
$3
3814422
245
1 0
$a
High-performing simulations of the space radiation environment for the International Space Station and Apollo Missions /
$c
Matthew Lawrence Lund.
264
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2016
300
$a
1 electronic resource (159 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 77-12.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Advisors: Jevremovic, Tatjana Committee members: Ring, Terry Arthur; Springer, Wayne.
502
$b
M.S.
$c
The University of Utah
$d
2016.
520
$a
The space radiation environment is a significant challenge to future manned and unmanned space travels. Future missions will rely more on accurate simulations of radiation transport in space through spacecraft to predict astronaut dose and energy deposition within spacecraft electronics. The International Space Station provides long-term measurements of the radiation environment in Low Earth Orbit (LEO); however, only the Apollo missions provided dosimetry data beyond LEO. Thus dosimetry analysis for deep space missions is poorly supported with currently available data, and there is a need to develop dosimetry-predicting models for extended deep space missions. GEANT4, a Monte Carlo Method, provides a powerful toolkit in C++ for simulation of radiation transport in arbitrary media, thus including the spacecraft and space travels. The newest version of GEANT4 supports multithreading and MPI, resulting in faster distributive processing of simulations in high-performance computing clusters. This thesis introduces a new application based on GEANT4 that greatly reduces computational time using Kingspeak and Ember computational clusters at the Center for High Performance Computing (CHPC) to simulate radiation transport through full spacecraft geometry, reducing simulation time to hours instead of weeks without post simulation processing. Additionally, this thesis introduces a new set of detectors besides the historically used International Commission of Radiation Units (ICRU) spheres for calculating dose distribution, including a Thermoluminescent Detector (TLD), Tissue Equivalent Proportional Counter (TEPC), and human phantom combined with a series of new primitive scorers in GEANT4 to calculate dose equivalence based on the International Commission of Radiation Protection (ICRP) standards. The developed models in this thesis predict dose depositions in the International Space Station and during the Apollo missions showing good agreement with experimental measurements. From these models the greatest contributor to radiation dose for the Apollo missions was from Galactic Cosmic Rays due to the short time within the radiation belts. The Apollo 14 dose measurements were an order of magnitude higher compared to other Apollo missions. The GEANT4 model of the Apollo Command Module shows consistent doses due to Galactic Cosmic Rays and Radiation Belts for all missions, with a small variation in dose distribution across the capsule. The model also predicts well the dose depositions and equivalent dose values in various human organs for the International Space Station or Apollo Command Module.
546
$a
English
590
$a
School code: 0240
650
4
$a
Aerospace engineering.
$3
1002622
650
4
$a
Nuclear engineering.
$3
595435
650
4
$a
Nuclear physics.
$3
517741
653
$a
Apollo
653
$a
GEometry ANd Tracking 4
653
$a
International Space Station
653
$a
Radiation
653
$a
Shielding
690
$a
0538
690
$a
0552
690
$a
0756
710
2
$a
The University of Utah.
$b
Civil and Environmental Engineering.
$e
degree granting institution.
$3
3814423
720
1
$a
Jevremovic, Tatjana
$e
degree supervisor.
773
0
$t
Masters Abstracts International
$g
77-12.
790
$a
0240
791
$a
M.S.
792
$a
2016
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10120793
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9523578
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login