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Heat Exchanger Network Optimization Based on Inner Utility Placement Strategy
BAO Zhongkai, CUI Guomin, CAO Chong, REN Jie, LI Menghong
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS 2019, 36 (
6
): 707-718. DOI:
10.19596/j.cnki.1001-246x.7957
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484
)
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Traditional stage-wised superstructure (SWS) of heat exchanger network allowes that utilities are placed at ends of process streams, which restricts flexible development of network structures. Hence, a novel inner utility placement strategy is proposed, in which utilities could be placed at each stream branch in intermediate stages. An improved random walk algorithm with compulsive evolution with structure-protection strategy (SP-RWCE) is employed, in which a pseudo optimum generation strategy is presented to modify SP-RWCE, where pseudo optimums with evolution potentialities could be promoted and generated to accept protection and exploitation by expanding optimal total annual cost of individuals in long-term evolution stagnation. Optimization results of three benchmark cases are superior to reported values, all of them include inner utilities. It indicates that the modified SWS enlarges solution space, the improved SP-RWCE has stronger search ability, and the placement of inner utility could effectively reduce heat exchange areas.
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An Integrated High-throughput Computational Material Platform
YANG Xiaoyu, WANG Juan, REN Jie, SONG Jianlong, WANG Zongguo, ZENG Zhi, ZHANG Xiaoli, HUANG Sunchao, ZHANG Ping, LIN Haiqing
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS 2017, 34 (
6
): 697-704.
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910
)
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16
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The core philosophy of Material Genome Initiative is transition of way of new material design from traditional "try-and-error" approach to in-silico material design approach where intensive computing and material informatics are employed. It aims to effectively speed up discovery, development, production and deployment of new material two times faster as it is now. It means a culture shift of new material discovery:simulation and prediction first, followed by experiment. An integrated computational material platform that can facilitate high-throughput quantum mechanical simulations and manage simulation lifecycle data is therefore vital. This paper depicts a high throughput computational material platform and software framework, namely, MatCloud, which effectively integrates individual quantum mechanical simulation tasks, data extraction and data storage into an automatic flow in an end-to-end manner without direct human control. Especially, core data curation activities are also integrated into this flow rather than happening at post-simulation stage separately. MatCloud is demonstrated in an example of disorder binary alloy design to be valid and effective.
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COMPUTATION AND ANALYSIS ON THE WARHEAD DETECTION
Wu Jun, Liu Chengan, Ren Jie
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS 1997, 14 (
S1
): 530-534.
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189
)
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The γ ray transport process in some pits of warhead models has been studied.Since the penetrating γ ray spectra are different for different models,the feasibility of using the γ ray from fissile materials as the fingerprint of the warhead has been analyzed.By comparing the characteristics of γ ray's intensities,the thickness of bare ball of Wg.Pu can be estimated if its thickness is less than 1.5 cm.
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BURNUP CALCULATION OF 200MW INERTIAL CONFINEMENT HYBRID REACTOR
Liu Zhongxing, Wu Jun, Huang Wengkai, Lu Xun, Ren Jie, Zeng Wenping
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS 1997, 14 (
2
): 221-226.
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(
269
)
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A proposal of 200MW Inertial Confinement Fusion Fission Hybrid reactor which does not produce plutonium is presented on the basis of one dimensional discrete ordinate transport calculation and burmup calculation by using code BISON 1.5
[4]
.The time dependent results of energy deposit,
238
U(n,
γ
),
239Pu(n,
α
),
6
Li(n,
α
) reac-tion rates and
K
eff
are given.Such a novel reactor proposed here not only could maintain high output power but also could keep critical safety.
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