39 research outputs found

    The Miniaturization of the AFIT Random Noise Radar

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    Advances in technology and signal processing techniques have opened the door to using an UWB random noise waveform for radar imaging. This unique, low probability of intercept waveform has piqued the interest of the U.S. DoD as well as law enforcement and intelligence agencies alike. While AFIT\u27s noise radar has made significant progress, the current architecture needs to be redesigned to meet the space constraints and power limitations of an aerial platform. This research effort is AFIT\u27s first attempt at RNR miniaturization and centers on two primary objectives: 1) identifying a signal processor that is compact, energy efficient, and capable of performing the demanding signal processing routines and 2) developing a high-speed correlation algorithm that is suited for the target hardware. A correlation routine was chosen as the design goal because of its importance to the noise radar\u27s ability to estimate the presence of a return signal. Furthermore, it is a computationally intensive process that was used to determine the feasibility of the processing component. To determine the performance of the proposed algorithm, results from simulation and experiments involving representative hardware were compared to the current system. Post-implementation reports of the FPGA-based correlator indicated zero timing failures, less than a Watt of power consumption, and a 44% utilization of the Virtex-5\u27s logic resources

    State of the art survey of technologies applicable to NASA's aeronautics, avionics and controls program

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    The state of the art survey (SOAS) covers six technology areas including flightpath management, aircraft control system, crew station technology, interface & integration technology, military technology, and fundamental technology. The SOAS included contributions from over 70 individuals in industry, government, and the universities

    ์ดˆ๊ณ ์„ฑ๋Šฅ ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ๋‹ค๊ธฐ๋Šฅ ๋ณตํ•ฉ ์‘์šฉ์„ ์œ„ํ•œ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ์˜ ์ ์šฉ ๋ฐ ์˜ํ–ฅ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์ถ•ํ•™๊ณผ, 2020. 8. ํ™์„ฑ๊ฑธ.This study aimed to develop multi-functional ultra-high performance concrete (UHPC) with excellent mechanical strength, electromagnetic interference (EMI) shielding effectiveness (SE), and damage sensing capabilities for applying structural health monitoring (SHM), in on-site production. Carbon nanotubes (CNTs), selected as a key material to achieve the purpose of this study, were mixed with UHPC and investigated with regard to dispersion methods, mechanical properties, EMI SE, damage sensing, electrical curing (EC) and structural modifications with respect to CNT incorporation. Ozone treatment was applied to CNTs as a dispersion method and its impact on dispersion of CNTs and hydration reaction of UHPC were investigated. The results reveals that oxygenic and carboxylic groups, formulated by ozone treatment, functionalized the surface of the CNTs and enveloped the cementitious grains, which increasing the degree of dispersion of CNTs and interfacial interaction between CNTs and UHPC particles. Ozone treatment provided multiple nucleation sites and double steric repulsion, accelerating hydration at early ages and improving compressive strength at later ages. Thus, the proposed ozone treatment can be an effective way to disperse CNTs in UHPC. Dispersed CNT suspensions were fabricated using sonication and subsequent shear mixing with superplasticizer, a proposed method for dispersing high content of CNTs in UHPC. Then, the CNT suspensions were incorporated into UHPC to form UHPC/CNT composites and their mechanical properties were investigated with respect to the CNT content. The proposed dispersion method effectively dispersed CNTs within both an aqueous solution and UHPC composite up to the critical incorporation concentration (CIC). In addition, it was found that CNT content below the CIC improve the mechanical properties of UHPC through pore filling, bridging, and calcium-silicate-hydrates (C-S-H) stiffening, whereas CNT content above CIC weakens the properties due to agglomeration of CNTs, suppression of hydration, and increase in air-voids. A dispersed CNTs remarkably improved the electrical conductivity and resulting SE of UHPC up to the percolation threshold. Two testing methods for EMI SE (ASTM D4935-18 and IEEE-STD-299) verified the result and suggested that ASTM D4935-18 can only be used to evaluate a rough trend of SE, and IEEE-STD-299 using the samples with sufficient incident area size at least 1200 ร— 1200 mm2 should be considered to accurately evaluate the EMI SE at actual structure level. In addition, a practical model to effectively estimate the SE of UHPC was proposed based on statistical analysis of the experimental results. The addition of CNTs significantly decreased electrical resistivity of the UHPC, enabling EC at low voltages in the range of 19โ€“23 V; improved mechanical properties via bridging, pore filling, and C-S-H stiffening effects; and influenced the deflection hardening behavior under flexural stress. Furthermore, the UHPC/CNT under compressive or flexural stress exhibited significant crack sensing capabilities due to the obtained low resistivity. A dramatic fractional change in resistivity (FCR) value of the UHPC/CNT composites can represent the failure under compression or first cracking under flexure. Therefore, it was verified that the UHPC/CNT can extend the applications of UHPC especially for on-site casting and structural crack sensors for UHPCbased structures. Finally, the dispersed CNTs slightly interfered the hydration of the UHPC, but they significantly modified the structure of C-(A)-S-H to be denser, stiffer, and more complex than that of UHPC without CNTs which have been evidenced by observed partial cross-linking in the C-(A)-S-H, reduced d-spacing and the higher fractal dimensions of solid system. Such behaviors were much more significant when EC was applied because the electrical field formed by EC activated ionic polarization and accelerated the chemical reaction among ions in the UHPC matrix, which led to a higher degree of hydration. In conclusion, incorporating appropriate amount of CNTs into UHPC using the proposed dispersion methods can overcome the limitation of UHPC and produce multi-functional UHPC with EMI SE and crack sensing capabilities on-site using EC.์ด ๋…ผ๋ฌธ์€ ๋›ฐ์–ด๋‚œ ๊ธฐ๊ณ„์  ํŠน์„ฑ (Mechanical porperties)์„ ๋ณด์œ ํ–ˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ „์žํŒŒ ๊ฐ„์„ญ (Electromagnetic interference, EMI)์— ๋Œ€ํ•œ ์ฐจํ ํšจ๊ณผ (Shielding effectiveness, SE), ๊ตฌ์กฐ ํ—ฌ์Šค ๋ชจ๋‹ˆํ„ฐ๋ง (Structural health monitoring, SHM) ์ ์šฉ์„ ์œ„ํ•œ ๊ท ์—ด ์ž๊ธฐ ๊ฐ์ง€ (Crack self-sensing) ๋“ฑ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ ๋ฐœํœ˜๋กœ ๋ณตํ•ฉ ์‘์šฉ์ด ๊ฐ€๋Šฅํ•œ ์ดˆ๊ณ ์„ฑ๋Šฅ ์ฝ˜ํฌ๋ฆฌํŠธ (Ultra-high performance concrete, UHPC)๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ํ˜„์žฅ ์‹œ๊ณต์ด ๊ฐ€๋Šฅํ† ๋ก ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ (Carbon Nanotubes, CNTs)๋ฅผ ํ•ต์‹ฌ ์žฌ๋ฃŒ๋กœ ์„ ์ •ํ•˜์—ฌ UHPC์— ํ˜ผ์ž…ํ•˜๊ณ  ๋ถ„์‚ฐ ๋ฐฉ๋ฒ• (dispersion methods), ๊ธฐ๊ณ„์  ํŠน์„ฑ, ์ „์žํŒŒ ์ฐจํ, ๊ท ์—ด ์ž๊ธฐ ๊ฐ์ง€, ์ „๊ธฐ ๊ฒฝํ™” (Electrical curing, EC), ๊ทธ๋ฆฌ๊ณ  ๋ฏธ์„ธ๊ตฌ์กฐ ๋ณ€ํ˜• (Microstructural modifications) ๊ด€์ ์—์„œ ๋…ผ์˜ ํ•˜์˜€๋‹ค. CNT๋ฅผ UHPC์— ํšจ๊ณผ์ ์œผ๋กœ ๋ถ„์‚ฐ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ ์˜ค์กด ์ฒ˜๋ฆฌ (Ozone treatment)๋ฅผ ์ ์šฉํ•˜๊ณ  ์ด์— ๋”ฐ๋ฅธ UHPC์˜ ์ˆ˜ํ™” ๋ฐ˜์‘ (Hydration reaction)์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์˜ค์กด ์ฒ˜๋ฆฌ๋Š” ์‚ฐ์†Œ ๋ฐ ์นด๋ฅด๋ณต์‹ค๊ธฐ (Oxygenic and Carboxylic chemical group)๋ฅผ CNT ํ‘œ๋ฉด๊ณผ UHPC ์ž…์ž ์ฃผ์œ„์— ํ˜•์„ฑํ•˜์—ฌ ํšจ๊ณผ์ ์œผ๋กœ CNT๋ฅผ ๋ถ„์‚ฐ์‹œํ‚ค๊ณ  UHPC์˜ ๊ณ„๋ฉดํ™œ์„ฑ์ž‘์šฉ (Interfacial interaction)์„ ๊ฐœ์„ ํ•˜์˜€๋‹ค. ์˜ค์กด ์ฒ˜๋ฆฌ๋Š” UHPC ์ˆ˜ํ™” ๋ฐ˜์‘์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€๋Š” ์•Š์•˜์ง€๋งŒ CNT์˜ ํšจ๊ณผ์ ์ธ ๋ถ„์‚ฐ์„ ํ†ตํ•ด ๋‹ค์ค‘ ํ•ต ํ˜•์„ฑ ๋ฐ˜์‘์„ (Multiple nucleation)์„ ์ด‰์ง„ํ•˜์—ฌ UHPC์˜ ์ดˆ๊ธฐ ์ˆ˜ํ™” ๋ฐ˜์‘์„ ๊ฐ€์†ํ™” ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ•„๋Ÿฌ ํšจ๊ณผ (Filler effect)๋กœ ์ธํ•ด ๋”์šฑ ๋” ํ–ฅ์ƒ๋œ ์••์ถ• ๊ฐ•๋„๋ฅผ ๋ฐœํ˜„ํ•˜๋Š”๋ฐ ๊ธฐ์—ฌํ•˜์˜€๋‹ค. ๋Œ€์šฉ๋Ÿ‰์˜ CNT๋ฅผ UHPC์— ๊ท ์ผํ•˜๊ฒŒ ๋ถ„์‚ฐ์‹œํ‚ค๊ธฐ ์œ„ํ•˜์—ฌ ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ (Sonication) ๋ฐ ์ดˆ๊ณ ์„ฑ๋Šฅ ๊ฐ์ˆ˜์ œ (Super plasticizer)๋ฅผ ํ™œ์šฉํ•œ ์ „๋‹จ ํ˜ผํ•ฉ (Shear mixing) ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ œ์•ˆ๋œ ๋ถ„์‚ฐ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ์ œ์กฐ๋œ CNT ๋ถ„์‚ฐ์•ก์„ UHPC์™€ ํ˜ผํ•ฉํ•˜๊ณ  CNT ํ˜ผ์ž… ์ค‘๋Ÿ‰์— ๋”ฐ๋ฅธ ๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ๋ถ„์‚ฐ ๋ฐฉ๋ฒ•์€ ํ˜ผ์ž… ์ž„๊ณ„์  (Critical incorporation concentration, CIC) ๋ฏธ๋งŒ์—์„œ CNT๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ๋ถ„์‚ฐ์‹œํ‚ฌ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ ๊ณต๊ทน ์ถฉ์ „ (Pore filling), ๊ฐ€๊ต ํšจ๊ณผ (Bridging effect), C-S-H (Calcium-silicatehydrates) ์น˜๋ฐ€ํ™” (Densification) ๋“ฑ์„ ํ†ตํ•ด ์••์ถ•๊ฐ•๋„ (Compressive strength) ๋ฐ ํƒ„์„ฑ๊ณ„์ˆ˜ (Elastic modulus)๋ฅผ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. ํ•˜์ง€๋งŒ, ํ˜ผ์ž… ์ž„๊ณ„์  ์ด์ƒ์˜ CNT๊ฐ€ ํ˜ผ์ž…๋œ ๊ฒฝ์šฐ์—๋Š” ๋ถ„์‚ฐ๋œ CNT๊ฐ€ ์ผ๋ถ€ ์‘์ง‘ ๋˜์–ด (Agglomeration) UHPC์˜ ์ˆ˜ํ™”๋ฐ˜์‘์„ ๋ฐฉํ•ดํ•˜๊ณ  ๊ณต๊ทน ๋˜๋Š” ๊ท ์—ด๋กœ ์ž‘์šฉํ•˜์—ฌ ๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ์•ฝํ™”์‹œ์ผฐ๋‹ค. ๋ถ„์‚ฐ๋œ CNT๋Š” ์นจํˆฌ ์ž„๊ณ„์  (Percolation threshold) ๋ฒ”์œ„ ๋‚ด์—์„œ UHPC์˜ ์ „๊ธฐ์ „๋„๋„ (Electrical conductivity) ๋ฐ ์ „์žํŒŒ ์ฐจํ ํšจ๊ณผ๋ฅผ ๊ทน๋Œ€ํ™” ์‹œ์ผฐ๋‹ค. ์ „์žํŒŒ ์ฐจํ ํšจ๊ณผ๋ฅผ ์ธก์ •ํ•˜๋Š” ๋‘ ๊ฐ€์ง€ ํ‘œ์ค€ ์‹œํ—˜ (ASTM D4935-18, IEEE-STD-299)์„ ์ ์šฉํ•œ ๊ฒฐ๊ณผ ASTM D4935-18์€ ์žฌ๋ฃŒ ์ˆ˜์ค€์—์„œ ์ฐจํ ํšจ๊ณผ์˜ ๋Œ€๋žต์ ์ธ ์ถ”์„ธ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ์œผ๋‚˜ ์‹ค์ œ ๊ตฌ์กฐ ์ˆ˜์ค€์—์„œ ์ •ํ™•ํ•˜๊ฒŒ ์ฐจํ ํšจ๊ณผ๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ตœ์†Œ 1200 ร— 1200 mm2 ์ด์ƒ์˜ ์ถฉ๋ถ„ํ•œ ์ž…์‚ฌ๋ฉด์  (Incident area)์„ ๊ฐ€์ง€๋Š” ์‹คํ—˜์ฒด๋กœ IEEE-STD-299์— ์˜๊ฑฐ ์‹คํ—˜ํ•ด์•ผ ํ•จ์ด ์ž…์ฆ๋˜์—ˆ๋‹ค. UHPC๋‚ด์— ๊ท ์ผํ•˜๊ฒŒ ๋ถ„์‚ฐ๋œ CNT๋Š” UHPC์˜ ์ „๊ธฐ์ €ํ•ญ๋ฅ ์„ ํ˜„์ €ํžˆ ๋‚ฎ์ถ”์–ด ์•ฝ 19โ€“23 V ๋ฒ”์œ„์˜ ์ €์ „์•• ํ•˜์—์„œ๋„ ์ฆ๊ธฐ ์–‘์ƒ๊ณผ ๋™๋“ฑ ์ด์ƒ์˜ ํšจ๊ณผ๋ฅผ ๋ฐœํ˜„ํ•˜๋Š” ์ „๊ธฐ ๊ฒฝํ™”๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜์˜€์œผ๋ฉฐ ๊ทธ ๊ฒฐ๊ณผ ์••์ถ•๊ฐ•๋„, ํƒ„์„ฑ๊ณ„์ˆ˜, ํœจ ๋ณ€ํ˜• ๊ฒฝํ™” (Deflection hardening) ๋“ฑ์˜ ๊ธฐ๊ณ„์  ํŠน์„ฑ์ด ๋ˆˆ์— ๋„๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, UHPC/CNT ๋ณตํ•ฉ์žฌ๋ฃŒ๋Š” ๋‚ฎ์€ ์ „๊ธฐ์ €ํ•ญ๋ฅ ๋กœ ์ธํ•ด ์••์ถ• ๋ฐ ํœจ ์‘๋ ฅ ํ•˜์—์„œ ํƒ์›”ํ•œ ๊ท ์—ด ์ž๊ธฐ ๊ฐ์ง€ ๋Šฅ๋ ฅ์„ ๋ฐœํ˜„ํ•˜์—ฌ ๊ตฌ์กฐ์ฒด์˜ ๊ท ์—ด ๋ฐ ์•ˆ์ •์„ฑ ์—ฌ๋ถ€๋ฅผ ํŒ๋‹จํ•  ์ˆ˜ ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ฏธ์„ธ๊ตฌ์กฐ ๋ถ„์„ ๊ฒฐ๊ณผ, CNT๋Š” UHPC์˜ ์ค‘์žฅ๊ธฐ ์ˆ˜ํ™” ๋ฐ˜์‘์„ ๋‹ค์†Œ ์–ต์ œํ•˜์˜€์ง€๋งŒ C-(A)-S-H์˜ ์ค‘๊ฐ„์ธต (Interlayer) ๊ฐ„๊ฒฉ์„ ์ค„์ด๊ณ  ์ผ๋ถ€๋ฅผ ์—ฐ๊ฒฐํ•จ์œผ๋กœ์จ UHPC์˜ ๋ฏธ์„ธ๊ตฌ์กฐ๋ฅผ ๋”์šฑ ์น˜๋ฐ€ํ•˜๊ฒŒ ํ•˜๊ณ  ๊ฐ•์„ฑ์„ ๊ฐ•ํ™”ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ณต์žกํ•˜๊ฒŒ ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ์ „๊ธฐ ๊ฒฝํ™”๋ฅผ ์ ์šฉํ–ˆ์„ ๋•Œ ๋”์šฑ ์‹ฌํ™”๋˜์—ˆ๋Š”๋ฐ ์ด๋Š” ์ „๊ธฐ ๊ฒฝํ™”์— ์˜ํ•ด UHPC ๋งคํŠธ๋ฆญ์Šค ๋‚ด์— ํ˜•์„ฑ๋œ ์ „๊ธฐ์žฅ์œผ๋กœ ์ธํ•ด ์ด์˜จ ๋ถ„๊ทน ๋ฐ ํ™”ํ•™๋ฐ˜์‘์ด ๊ฐ€์†ํ™”๋˜์–ด ์ˆ˜ํ™”๋„๊ฐ€ ํ–ฅ์ƒ๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์ด ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ๋ถ„์‚ฐ ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋ชฉ์ ์— ๋งž๊ฒŒ ์ ์ ˆํ•œ ์–‘์˜ CNT๋ฅผ UHPC์— ํ˜ผ์ž…ํ•˜๋ฉด UHPC์˜ ํ•œ๊ณ„์ ์„ ๊ทน๋ณตํ•˜๊ณ  ๋›ฐ์–ด๋‚œ ๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ๋ฐœํ˜„ํ•˜๋Š” ๊ฐ€์šด๋ฐ ์ „๊ธฐ ๊ฒฝํ™”๋ฅผ ํ†ตํ•ด ํ˜„์žฅ ํƒ€์„ค์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ์ „์žํŒŒ ์ฐจํ, ๊ท ์—ด ์ž๊ธฐ ๊ฐ์ง€ ๋“ฑ ๋‹ค๊ธฐ๋Šฅ ๋ณตํ•ฉ ์‘์šฉ์ด ๊ฐ€๋Šฅํ•œ UHPC ๊ฐœ๋ฐœ์ด ๊ฐ€๋Šฅํ•˜๋‹ค.Chapter 1. Introduction 1 1.1 Background 1 1.1.1 The latest issues in concrete technology 1 1.1.2 Ultra High-Performance Concrete (UHPC) 2 1.1.3 Carbon Nanotubes (CNTs) 4 1.1.4 Compatibility between UHPC and CNTs 6 1.2 Objectives and structure of thesis 9 Chapter 2. Preliminary Study 11 2.1 Literature review 11 2.1.1 Methods to disperse CNTs 11 2.1.2 Cementitious materials incorporated with CNTs for applying EMI shielding 13 2.1.3 Cementitious materials embedded with CNTs for applying SHM techniques 16 2.1.4 Electrical curing (EC) of cementitious materials 18 2.2 Materials used in this study 19 2.3 Basics of microstructural analysis used in this study 21 2.3.1 X-ray diffraction (XRD) 21 2.3.2 Thermogravimetric (TG) analysis 23 2.3.3 Solid-state 29Si nuclear magnetic resonance (NMR) 24 2.3.4 Isothermal calorimetry 25 2.3.5 Mercury intrusion porosimetry (MIP) 27 2.3.6 Small angle X-ray scattering (SAXS) 29 Chapter 3. Ozone Treatment for the Dispersion of CNTs and Hydration Acceleration of UHPC 32 3.1 Introduction 33 3.2 Experimental Details 33 3.2.1 Properties of CNTs 33 3.2.2 Mixture proportions and sample preparation 35 3.2.3 Test methods 38 3.3 Results and Discussion 41 3.3.1 Effect of ozone treatment on dispersion of CNTs 41 3.3.2 Effect of ozone treatment on hydration of UHPC composite 52 3.4 Conclusions 62 Chapter 4. Effect of CNTs on Mechanical Properties of UHPC 64 4.1 Introduction 65 4.2 Experimental Details 65 4.2.1 Properties of CNTs 65 4.2.2 Mixture proportions and sample preparation 65 4.2.3 Test methods 69 4.3 Results and Discussion 70 4.3.1 Degree of dispersion of CNTs 70 4.3.2 Effect of CNTs on Mechanical properties of UHPC 76 4.4 Conclusions 80 Chapter 5. Role of CNTs in the Electromagnetic Shielding Effectiveness of UHPC 83 5.1 Introduction 84 5.2 Experimental Details 84 5.2.1 Mixture proportions and sample preparation 84 5.2.2 Test methods 87 5.3 Results and Discussion 93 5.3.1 Electrical resistivity and conductivity 93 5.3.2 Basics of EMC theory 96 5.3.3 EMI SE results based on two different SE testing method 102 5.3.4 Effects of incident area size on EMI SE 105 5.3.5 Modelling to practically estimate SE of UHPC 115 5.4 Conclusions 126 Chapter 6. Electrically Cured UHPC with CNTs for Field Casting and Crack Self-sensing 128 6.1 Introduction 129 6.2 Experimental Details 129 6.2.1 Properties of CNTs 129 6.2.2 Mixture proportions and sample preparation 132 6.2.3 Test methods 134 6.3 Results and Discussion 137 6.3.1 Flowability 137 6.3.2 Change in temperature and electrical resistivity during curing 137 6.3.3 Morphology of the CNTs in the UHPC 145 6.3.4 Poromechanical properties 147 6.3.5 Compressive strength, elastic modulus, and FCR 149 6.3.6 Flexural strength and FCR 156 6.4 Conclusions 161 Chapter 7. Micro- and Meso-Structural Changes of UHPC by CNTs 164 7.1 Introduction 165 7.2 Experimental Details 165 7.2.1 Mixture proportions and sample preparation 165 7.2.2 Test methods 166 7.3 Results 167 7.3.1 X-ray diffraction 167 7.3.2 Thermogravimetric anlaysis 170 7.3.3 29Si NMR spectroscopy 172 7.3.4 Small angle X-ray scattering 179 7.4 Discussion 190 7.5 Conclusions 193 Chapter 8. Conclusions 195 Reference 201 Appendix 218 ์ดˆ ๋ก 224Docto

    SYNTHETIC APERTURE RADAR PROCESSING USING UWB OFDM SIGNALS

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    The dissertation seeks to increase understanding of electronic warfare (EW) self-protection (EWSP) of battlefield helicopters by taking a holistic (systems) view on EWSP. It also evaluates the methodologies used in the research and their suitability as descriptive tools in communication between various EWSP stakeholders. The interpretation of the term "holistic view" is a central theme to the dissertation. The research methodology is bottom-up โ€“ which is necessary since no previous work exists that could guide the study โ€“ and progresses from analysis to synthesis. Initially several methods are evaluated for presenting findings on EWSP, including high-level system simulation such as Forrester system dynamics (FSD). The analysis is conducted by a comprehensive literature review on EW and other areas that are believed to be of importance to the holistic view. Combat scenarios, intelligence, EW support, validation, training, and delays have major influence on the effectiveness of the EWSP suite; while the initial procurement decision on the EWSP suite sets limits to what can be achieved later. The need for a vast support structure for EWSP means that countries with limited intelligence and other resources become dependent on allies for support; that is, the question of EWSP effectiveness becomes political. The synthesis shows that a holistic view on EWSP of battlefield helicopters cannot be bounded in the temporal or hierarchical (organizational) senses. FSD is found to be helpful as a quality assurance tool, but refinements are needed if FSD is to be useful as a general discussion tool. The area of survivability is found to be the best match for the holistic view โ€“ for an EWSP suprasystem. A global survivability paradigm is defined as the ultimate holistic view on EWSP. It is suggested that future research should be top-down and aiming at promoting the global survivability paradigm. The survivability paradigm would give EWSP a natural framework in which its merits can be assessed objectively.reviewe

    DRONE DELIVERY OF CBNRECy โ€“ DEW WEAPONS Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD)

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    Drone Delivery of CBNRECy โ€“ DEW Weapons: Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD) is our sixth textbook in a series covering the world of UASs and UUVs. Our textbook takes on a whole new purview for UAS / CUAS/ UUV (drones) โ€“ how they can be used to deploy Weapons of Mass Destruction and Deception against CBRNE and civilian targets of opportunity. We are concerned with the future use of these inexpensive devices and their availability to maleficent actors. Our work suggests that UASs in air and underwater UUVs will be the future of military and civilian terrorist operations. UAS / UUVs can deliver a huge punch for a low investment and minimize human casualties.https://newprairiepress.org/ebooks/1046/thumbnail.jp

    Advanced RFI detection, RFI excision, and spectrum sensing : algorithms and performance analyses

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    Because of intentional and unintentional man-made interference, radio frequency interference (RFI) is causing performance loss in various radio frequency operating systems such as microwave radiometry, radio astronomy, satellite communications, ultra-wideband communications, radar, and cognitive radio. To overcome the impact of RFI, a robust RFI detection coupled with an efficient RFI excision are, thus, needed. Amongst their limitations, the existing techniques tend to be computationally complex and render inefficient RFI excision. On the other hand, the state-of-the-art on cognitive radio (CR) encompasses numerous spectrum sensing techniques. However, most of the existing techniques either rely on the availability of the channel state information (CSI) or the primary signal characteristics. Motivated by the highlighted limitations, this Ph.D. dissertation presents research investigations and results grouped into three themes: advanced RFI detection, advanced RFI excision, and advanced spectrum sensing. Regarding advanced RFI detection, this dissertation presents five RFI detectors: a power detector (PD), an energy detector (ED), an eigenvalue detector (EvD), a matrix-based detector, and a tensor-based detector. First, a computationally simple PD is investigated to detect a brodband RFI. By assuming Nakagami-m fading channels, exact closed-form expressions for the probabilities of RFI detection and of false alarm are derived and validated via simulations. Simulations also demonstrate that PD outperforms kurtosis detector (KD). Second, an ED is investigated for RFI detection in wireless communication systems. Its average probability of RFI detection is studied and approximated, and asymptotic closed-form expressions are derived. 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