Spallation physics and the ADS target design

Mongelli, Sara Tania; Maiorino, José Rubens; Anéfalos, S.; Deppman, A.; Carluccio, Thiago

doi:10.1590/s0103-97332005000500048

Cited by 26 publications

(17 citation statements)

References 7 publications

(6 reference statements)

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“…This code has been developed for more than ten years [8][9][10][11][12][13][14] and it has been applied in the study of fission induced by photons and protons, and for the study of hyper-nuclear decay [15]. It has also been used in the development of new nuclear reactor technologies [16][17][18]. The main feature of this Monte Carlo code is the precise description of the intranuclear cascade, where a time-ordered sequence of collisions is governed by strict verification of the Pauli principle in a square-well nuclear model.…”

Section: Methodsmentioning

confidence: 99%

Photon and proton induced fission on heavy nuclei at intermediate energies

Andrade-II

Karapetyan

Deppman

et al. 2014

EPJ Web of Conferences

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Abstract. We present an analysis of fission induced by intermediate energy protons or photons on actinides. The 660 MeV proton induced reactions are on 241 Am, 238 U, and 237 Np targets and the Bremmstrahlung-photons with end-point energies at 50 MeV and 3500 MeV are on 232 Th and 238 U targets. The study was performed by means of the Monte Carlo simulation code CRISP. A multimodal fission extension was added to the code within an approach which accounts for the contribution of symmetric and asymmetric fission. This procedure allowed the investigation of fission cross sections, fissility, number of evaporated nucleons and fission-fragment charge distributions. The comparison with experimental data show a good agreement between calculations and experiments.

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Section: Methodsmentioning

confidence: 99%

Photon and proton induced fission on heavy nuclei at intermediate energies

Andrade-II

Karapetyan

Deppman

et al. 2014

EPJ Web of Conferences

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“…CRISP is a Monte Carlo code for simulating nuclear reactions, where the reactions proceed in the two stages: the intranuclear cascade (MCMC code) and the evaporation/fission process (MCEF code). CRISP code calculated spallation yields and neutron multiplicities for reactions induced by high-energy protons, as well as has already been used in studies of the Accelerator Driving System (ADS) nuclear reactors [36][37][38][39][40][41][42].…”

Section: Crisp Code Calculation For Actinide Targetsmentioning

confidence: 99%

Fission and spallation data evaluation using induced-activity method

Karapetyan

2015

Eur. Phys. J. Plus

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The induced-activity investigations in off-line analysis performed in different experiments, concerning pre-actinide and actinide nuclei, are here presented and discussed. Generalized expressions for the determination of independent yields/cross sections of radioactive nuclei, formed in the targets, are derived and analysed. The fragment mass distribution from 238 U, 232 Th and 181 Ta photofission at the bremsstrahlung end-point energies of 50 and 3500 MeV, and from 241 Am, 238 U and 237 Np fission induced by 660-MeV protons, are scrutinized from the point of view of the multimodal fission approach. The results of these studies are hence compared with theoretical model calculations using the CRISP code. A multimodal fission option has been added to this code, which allows to account the contribution of symmetric and asymmetric (superasymmetric) fission to the total fission yield. Moreover, this work contains the general results obtained in the analysis of the isomer ratios of fission fragments from 238 U and 232 Th targets at the bremsstrahlung end-point energies of 50 and 3500 MeV. Moreover, the values of the average angular momenta of primary fragments are estimated by using the statistical model calculation. We subsequently discuss the complex particle-induced reaction, such as heavy-ions and deuterons, by using the thick-target thick-catcher technique and the two-step vector model framework as well. This is accomplished in order to present the investigation of the main processes (fission, spallation and (multi)fragmentation) in intermediate-and high-energy ranges of the incident particle. The set of experimental data, presented in this work, encompasses not merely the data as total production cross sections. Notwithstanding, it further covers other data, as individual yields/cross sections, charge, mass and spin distributions of the reaction fragments, as well as kinematic features. These sources of experimental data can serve as a consistent set of benchmarking data, still necessary for the study of heavy nuclei. Besides, it is also useful for technological applications, from astrophysics and environmental sciences to accelerator technology and accelerator-based nuclear waste transmutation and energy amplification as well. PACS numbers: 25.40.Sc, 25.85.-w * Electronic address: gayane@if.usp.br arXiv:1509.00226v1 [nucl-ex] 1 Sep 2015

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“…Fundamentally, optimal building structure design is a kind of complex optimization which contains discrete variables such as multi-operating modes, multi-variables, multi-constraints and multi-targets in addition to the great number of uncertainties (i.e., load, component material and size, analysis model). In addition, complicated building structure systems have to satisfy the multifarious requirements of formal structure and variable structure [Mongelli, Maiorino, Ané falos et al (2005)]. To empower the optimal building structure design, we proposed the new design method for the optimal building frame column design based on the genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimal Building Frame Column Design Based on the Genetic Algorithm

Shen¹,

Gao²

2019

Computers, Materials &Amp; Continua

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Building structure is like the skeleton of the building, it bears the effects of various forces and forms a supporting system, which is the material basis on which the building depends. Hence building structure design is a vital part in architecture design, architects often explore novel applications of their technologies for building structure innovation. However, such searches relied on experiences, expertise or gut feeling. In this paper, a new design method for the optimal building frame column design based on the genetic algorithm is proposed. First of all, in order to construct the optimal model of the building frame column, building units are divided into three categories in general: building bottom, main building and building roof. Secondly, the genetic algorithm is introduced to optimize the building frame column. In the meantime, a PGA-Skeleton based concurrent genetic algorithm design plan is proposed to improve the optimization efficiency of the genetic algorithm. Finally, effectiveness of the mentioned algorithm is verified through the simulation experiment.

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Spallation physics and the ADS target design

Cited by 26 publications

References 7 publications

Photon and proton induced fission on heavy nuclei at intermediate energies

Photon and proton induced fission on heavy nuclei at intermediate energies

Fission and spallation data evaluation using induced-activity method

Optimal Building Frame Column Design Based on the Genetic Algorithm

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