1 Introduction
Subcriticality is an important concept for monitoring the safety of reactor operation in critical or near-critical states. The neutron source multiplication (NSM) method is widely used to acquire nuclear system reactivity in nuclear safety analysis [1-7]. Experimental NSM investigations were carried out in several facilities worldwide in recent years, including the Kyoto University Critical Assembly "KUCA" facility [8-10], the YALINA thermal subcritical assembly [11,12], and the MASURCA reactor through the series of MUSE experiments of the fast subcritical mock-up [13-15]. These studies investigated the nuclear characteristics in NSM experiments and examined the neutron properties of subcritical systems. Neutrons involved in those experiments were 14 MeV pulsed neutrons, 252Cf spontaneous fission neutrons, deuterium–deuterium (D–D) and deuterium–tritium (D–T) neutrons. Different neutron source distributions (distributed in space, energy, and angle) have different effects on the multiplication of the nuclear systems.
The NSM method is a simple measurement technique which may feasibly be carried out in real-time. This method does not require any special equipment other than a stationary external neutron source, and an ordinary neutron detector. Additionally, the NSM method is based on steady-state analysis, so that this technique is very suitable for real-time measurement. Despite these advantages, the absolute value of subcriticality cannot be measured directly by the NSM method. One of the important reasons is that extra neutron sources used in the NSM experiments are very different from eigen-distribution neutron source (fundamental-mode fission sources) in space, energy, and angle distribution. It is impossible for extra neutron sources to distribute uniformly throughout the system volume. When the neutron sources are eigen-distribution neutron sources, the effective multiplication factor keff can be directly related to the neutron multiplication factor M by M =1/(1-keff). However, the fundamental-mode source is a fictitious source distribution that does not exist in reality. In order to establish the relationship between the ordinary neutron source and fundamental-mode source, G.D.Spriggs et al.[16] have developed the theory of equivalent fundamental-mode sources, and demonstrated a factor that could convert any arbitrary source distribution to an equivalent fundamental-mode source distribution. They also demonstrated a method for calculating this factor in subcritical systems. In China, Jin-Feng Du and Yan-Peng Yin [17-18] developed the Monte Carlo analysis method to calculate the equivalent fundamental-mode source strength of 14 MeV neutrons and spontaneous fission neutron sources in CFBR-II reactors, respectively.
Two neutron source distributions (distributed in space, energy and angle) producing the same number of neutrons will not necessarily contribute equally toward the multiplication of the given system. For this reason, equally sized units added to the system will have different effects on the multiplication of the system. Fundamental-mode neutrons and delayed neutrons that are all produced from fission events in critical system should be identically distributed in space and angle, varying only in energy spectrum. Therefore, we could introduce a factor to convert delayed neutron distribution to an equivalent fundamental-mode source distribution, i.e., introduce a factor to eliminate the energy distribution difference between eigen-distribution neutron sources and delayed neutron sources in the NSM experiments to acquire keff of the nuclear system.
In this paper, we build on the concept of equivalent fundamental-mode source to propose using delayed neutrons as an extra neutron source in NSM experiments to acquire keff of the subcritical system. The paper is structured to begin with a statement of basic theory; thereafter, our use of the Monte Carlo analysis method to calculate the equivalent fundamental-mode source strength of delayed neutrons is demonstrated; then, the multiplication experiments we conducted in subcritical systems using delayed neutrons as a driving source to measure keff are described; and finally, conclusions are drawn, and future work is outlined.
2 Delayed neutron multiplication
In this section, we describe a novel method to determine keff of subcritical system using delayed neutron multiplication. Delayed neutrons are born from fission events and spread all over the system. They can induce fission events and proliferate neutrons like other ordinary neutrons. Delayed neutron multiplication can be measured by an appropriate method. The determination of keff from delayed neutron multiplication is predicated based on an understanding of the concept of equivalent fundamental-mode source.
In a subcritical system, if the source S was distributed as a fundamental-mode fission source, the fundamental-mode multiplication, M0, would be related to the effective multiplication factor of the system, keff, as follows:
However, the equivalent fundamental-mode source is a fictitious theoretical source. In experiments, arbitrary sources that have been placed in or near the assembly (such as an external startup neutron source) will produce system multiplication, M, that can differ significantly from the fundamental-mode multiplication, M0.
Because it is customary in reactor physics to express most quantities in terms of keff, it is necessary to modify Eq.(1) by including a factor g* that allows us to express the actual multiplication produced by an arbitrary source distribution in terms of the fundamental-mode multiplication. That is,
where
This factor
A method for determining keff by delayed neutron multiplication will now be described. Delayed neutrons need to be acquired first. To produce these, a nuclear device is operated in critical mode for a moment and delayed neutron precursors are produced. Delayed neutrons precursors distribute throughout the system, and then, the device is shut down to stop the fission events. Subsequently the existent precursors in the system decay. At this point, only delayed neutrons exist in the system (and no more prompt neutrons). A few minutes later, the reactor enters a subcritical state from shut-down mode; thus, delayed neutron multiplication is realized. Then, keff of the system can be acquired according to the relationship between keff and delayed neutron multiplication (
While the reactor is running, delayed neutron precursors are all continuously being produced and decaying. Precursors release neutrons called delayed neutrons. When the reactor operates in critical mode for more than ten minutes, precursors′ generation and decay will reach dynamic equilibrium according to the characteristics of delayed neutron precursors. The neutron detectors count rate,
where
When the density of delayed neutron precursors reaches saturation, the reactor is shut-down. Fission events cease and delayed neutron precursor production also ceases. The precursors that existed in the whole system subsequently decay. The decay properties of precursors determine that the shorter a precursor’s half-life, the faster it disappears. According to six groups of delayed neutron model, the 1-th precursor with the longest half-life (87Br:T1/2=55.6 s in ENDF/B-VI) has the slowest decay behavior. Thereafter, 300 s after the fission events stop, only 1-th delayed neutrons exist in the system [19]. The emission rate (which can be defined as neutron source intensity) of the 1-th delayed neutrons at time t beginning from the shut-down moment,
where t is the time, start from the reactor shutdown(s); T is the time duration while reactor run in critical mode (s);
If the time duration, T, that the system is kept at in a critical state is greater than ten half-lives of 87Br, all the precursors could reach saturation, giving:
Alternatively, according to the theory of equivalent fundamental-mode source, 1-th delayed neutrons fundamental-mode source strength (
where
More than 300 s after the fission events stop, the reactor steps into a subcritical state, the relationship between multiplication (M), keff, the multiplication of the system, leakage of the neutrons and efficiency of the detector, and the neutron detector counting rate
where all the parameters in the Eq. (8) are the same as above mentioned.
Substituting Eq. (6) and Eq. (7) into Eq. (8),
Combined with the Eq. (4) and Eq. (9), Eq.(10) is obtained by
Then,
Eq. (11) is the basic equation of this work. With the parameters
3 Monte Carlo analysis of the effective coefficient gdn*
In order to obtain the factor gdn*of 1-th delayed neutrons, the Monte Carlo numerical method was adopted to simulate the reaction and transport process of delayed neutrons and eigen-distribution neutrons, respectively.
As we mentioned above in Eq. (3), the effective coefficient g* is defined as the ratio of the fixed-source multiplication to the fundamental-mode multiplication. In this work, a neutron source multiplication method was used to acquire gdn*of 1-th delayed neutrons. Here, the enriched uranium bare sphere assembly model with 8.805 cm radius and 93.71% enrichment 235U is built. A neutron detector was put outside of the system. The detector was spherical and closely surrounded the system, improving the detector efficiency. The resultant efficiency of leaked neutron detection was 100%. Additionally, the F1 tally card (current integrated over a surface) of MCNP5 [20] was adopted to acquire the average importance of every neutron emitted from the neutron source. The calculated formula is:
where
The neutron source distribution produces primary neutrons, and simulates the neutron transport process in the subcritical system. The leaked neutrons are statistically integrated the over the detector surface, and normalized to delayed neutrons or eigen neutrons. The normalized value represents the average importance of a source neutron. The average importance of delayed neutrons and eigen neutrons is acquired, allowing the effective coefficient, g*, of delayed neutrons to be obtained from their ratio.
In this work, we used 1-th delayed neutrons to analyze the average importance of 1-th delayed neutrons in a Monte Carlo numerical simulation. The distribution of delayed neutron precursors was in accordance with the relative fission rate in the critical nuclear system volume, as what that of the 1-th delayed neutron precursors. Relative delayed neutron emission rates in the volume are required to determine the relative fission rate along the radius. The FMn tally multiplier card in MCNP5 was used to calculate fission rate with the form:
where φ(E)
19 observation points are set at every 0.5 cm interval along the radius. Relative fission rate distribution along the radius is tallied statistically, and the results, which can be used to sample the relative intensity of delayed neutron distribution in the next step, are shown in Fig.1.
-201802/1001-8042-29-02-013/alternativeImage/1001-8042-29-02-013-F001.jpg)
1-th delayed neutron distributions are sampled as follows: (1) A DNB card is used to turned off delayed neutron production in MCNP5; (2) enriched uranium bare sphere assembly is first divided into 18 concentric spherical shells along the radius; (3) relative intensity distribution of 1-th delayed neutrons at the initial time in each fissile spherical shell is according to relative fission rate as shown in Fig.1; (4) 1-th delayed neutrons, with the average energy of 250 keV, emitted homogeneously in the whole volume; (5) the detector counts of delayed neutrons, ndn, is given via the F1 tally card.
As to eigen neutrons, they are sampled as following: (1) critical calculation is performed to produce eigen neutrons via a KCODE card; (2) an SSW card is used and eigen neutron information is written in a WSSA file; (3) an SSR card is used to read the location, direction, and energy distribution of eigen neutrons from the RSSA file, which called the WSSA file in the former step; (4) the calculation is executed and detector counts for eigen neutrons, nen, are recorded with the use of an F1 tally card.
After performing calculations on delayed neutrons and eigen neutrons, the detector counts for these two neutron types are obtained, and their ratio, ndn/nen, is calculated. This is the effective coefficient of delayed neutrons (gdn*), which is 1.22. Statistical uncertainty has been controlled within 1%.
This result is consistent with expectations. From Eq. (3), the 1-th delayed neutrons’ effective coefficient (gdn*)and neutron importance are connected. Neutrons’ importance, determined by the neutrons properties, include direction, energy, and distribution. In other words, when neutrons are injected into subcritical and/or critical system, the neutron population will increase in terms of neutrons′ properties. For eigen-distribution neutrons, a kind of fission neutron produced in a critical system, its "relative neutron importance" should be 1. For 235U nucleus, a low-energy neutron has a greater probability to induce fission. Delayed neutrons have a softer spectrum than prompt neutrons, so they induce fission events more easily than prompt neutrons. Thus, it is reasonable to have an effective coefficient greater than 1 for delayed neutrons. We can also obtain this conclusion from effective delayed neutron fraction βeff, which is larger than the delayed neutron fraction, β.
Furthermore, comparative studies were conducted to demonstrate that the 1-th delayed neutrons’ effective coefficient, gdn*, is larger than the effective coefficient of the total delayed neutrons. In [18] and [21], Yanpeng Yin calculated the effective delayed neutron fraction βeff of CFBR-II, which is 704 pcm. Gregory experimentally studied the effective delayed neutron fraction βeff of fast critical assembly XIX-1, determining it to be 737 pcm. Thus, drawn from experimental results, we could obtain g* of these two according to Eq.(12). The gdn*values obtained in this work and comparative results of the two reference works are listed in Table 1.
The average energy of 1-th delayed neutrons (250 keV) is lower than the average energy of total delayed neutrons (about 450 keV), so it is easier for 1-th delayed neutrons to induce fission. It can be concluded that it is reasonable for the effective coefficient g* of 1-th delayed neutrons to be larger than that of the total delayed neutrons. Owing to this, we propose that using the Monte Carlo method based on the MCNP code to calculate the effective coefficient of 1-th delayed neutrons is practical.
G.D. Spriggs et al.calculated the parameter g* of 252Cf spontaneous fission neutrons [21], and 235U and 238U spontaneous fission neutrons [16], but did not establish g*of delayed neutrons. As such, our achievement in this work is an effective complement to their theory of equivalent fundamental-mode sources.
4 Experiment apparatus review
Our experimental procedure was performed using the Chinese Fast Burst Reactor-II (CFBR-II). The CFBR-II is a spherical assembly consisting of cast-enriched uranium. Two hemispherical enriched-uranium blocks, referred to as upper and lower safety blocks, are driven mechanically. Between the two safety blocks, there is a 31-cm diameter and 5.2-cm-thick stainless-steel plate. There are three horizontal circular rod slots in the plate, which hold three control rods: an auto-adjustment rod, composition rod, and pulse rod to pass through. Control rods are all made from cast-enriched uranium. The reactivity of the assembly can be controlled by adjusting the depth to which control rods are inserted. The assembly can work at subcritical, delayed critical, and super prompt critical states.
Two BF3 proportional counters were used to record the leaked neutrons (proportional to the neutron density in the system) during measurement. A BF3 proportional counter, SZJ-1 type, the production of Beijing Nuclear Instrument Factory, was put in the paraffin barrel to construct the Hanson long counter, along with a preamplifier, a high-voltage power supply, a main amplifier, and a multi-scalar to constitute the measurement system. The front of the detectors was 180 cm away from the center of the system, and the dead time of the detectors was 3 μs. Fig.2 demonstrates the system structure and the location of detectors.
-201802/1001-8042-29-02-013/alternativeImage/1001-8042-29-02-013-F002.jpg)
450450Stainless steel plate180cmBF3 180cmBF3 CFBR-IIUpper blockLower block(a)
5 Experiments and results analysis
We performed experiments as follows: (1) the reactor was kept in critical state for more than 10 min and the delayed neutron precursors reached saturation, at which point the neutron detectors count rate (
-201802/1001-8042-29-02-013/alternativeImage/1001-8042-29-02-013-F003.jpg)
The supplementary specifications for the neutron count rate n1 and n2 are as follows. These rates are acquired from a common, current method, which is often used when the neutron count rate is too large for detectors to handle. A brief description of the method is as follows. First, the relationship between electric current and neutron count rate is determined from the ionization chamber and the neutron detector, working simultaneously at low power. The detector count rate when the nuclear assembly is working at high power can be determined by extrapolation from readings obtained via the ionization chamber.
With the constants
case | Results in this work(keff) | positive period method( |
∆ε% |
---|---|---|---|
1 | 0.9921 | 0.9922 | 0.01 |
2 | 0.9969 | 0.9939 | 0.30 |
Here is the complementary to the reference method (the positive period method). The control rods of CFBR-II were calibrated using the positive period method. The curves describing the relationship between reactivity and the position of control rods are well established. When the reactivity of the system is changed by adjusting the position of the control rods, the reactivity of the system can be read off the curves.
6 Conclusion
A methodology to use delayed neutrons as the neutron source in neutron multiplication experiments to acquire keff was first proposed and investigated via preliminary NSM experiments on CFBR-II. The evaluated results were approximately equal to the reference method (the positive period method).
An experimental delayed neutron multiplication method was established, and the Monte-Carlo method was adopted to analyze the effective coefficient g* of delayed neutrons. The effective neutron multiplication factor keff was obtained experimentally in two subcritical states. The results were approximately equal to the reference method (the positive period method) and were not heavily dependent on detection efficiency. We posit that running the reactor at an appropriate power level would reduce the relative differences in experimental results. We conclude that measurement of keff by delayed neutron multiplication in subcritical systems, as we outlined in this paper, is feasible for simple subcritical apparatus, such as CFBR-II.
Neutron source multiplication method research in reactor physics experimen
. Nucl. Sci. Eng. 25, 14-19(2005). doi: 10.3321/j.issn:0258-0918.2005.01.002Application of the modified neutron source multiplication method to the prototype FBR Monju
. Ann. Nucl. Energy. 51, 94-106(2013). doi: 10.1016/j.anucene.2012.07.040Preliminary analysis of fuel management for a small modular molten salt fast reactor
. Nucl. Sci. Tech. 39, 070603 (2016). doi: 10.11889/j.0253-3219.2016.hjs.39.070603Using the neutron balance method to access the feed fuel requirements for CANDLE
. Nucl. Sci. Tech. 39, 060601 (2016). doi: 10.11889/j.0253-3219.2016.hjs.39.060601Detected-neutron multiplication factor measured by neutron source multiplication method
. Ann. Nucl. Energy. 38, 2417-2427(2011). doi: 10.1016/j.anucene.2011.01.007Measurement of keff with an improved neutron source multiplication method based on numerical analysis
. Nucl. Sci. Tech. 25, 020602 (2014). doi: 10.13538/j.1001-8042/nst.25.020602Influence of extended low power operation on neutronics parameters of CNP600
. Nucl. Sci. Tech. 25, 110602 (2016). doi: 10.11889/j.0253-3219.2016.hjs.39.110602Experimental analysis for neutron multiplication by using reaction rate distribution in accelerator-driven system
. Ann. Nucl. Energy. 37, 592-597 (2010a). doi: 10.1016/j.anucene.2009.12.022Subcritical multiplication factor and source efficiency in accelerator-driven system
. Ann. Nucl. Energy. 37, 1214-1222 (2010b). doi: 10.1016/j.anucene.2010.04.010Effects of neutron spectrum and external neutron source on neutron multiplication parameters in accelerator-driven system
. Ann. Nucl. Energy. 37, 1785-1791 (2010c). doi: 10.1016/j.anucene.2010.07.003Analysis of reactivity determination methods in the subcritical experiment Yalina
. Nucl. Instrum. Meth. A. 554, 374-383(2005). doi: 10.1016/j.nima.2005.07.058Pulsed neutron source measurements in the subcritical ADS experiment YALINA-Booster
. Ann. Nucl. Energy. 35, 2357-2364(2008).doi: 10.1016/j.anucene.2008.07.011The MARVEL assembly for neutron multiplication
. Appl. Radiat. Isotopes. 80, 42-48(2013). doi: 10.1016/j.apradiso.2013.05.012Neutronic Studies in Support of Accelerator-Driven Systems: The MUSE Experiments in the MASURCA Facility
. Nucl. Sci. Eng. 148, 124-152(2004). doi: 10.13182/NSE01-13CPrompt multiplication factor measurements in subcritical systems: From MUSE experiment to a demonstration ADS
. Prog. Nucl. Energ. 49, 142-160(2007). doi: 10.1016/j.pnucene.2006.11.001The Equivalent Fundamental-Mode Source
. Ann. Nucl. Energy. 26, 237-264(1999). doi: 10.1016/S0306-4549(98)00048-614Calculation of effective coefficient of spontaneity fission neutron source in CFBR-Ⅱreactor
. Nucl. Power. Eng. 31, 131-133 (2010). doi: 10.7538/yzk.2013.47.04.0619Calculation of CFBR-Ⅱ's multiplication-reactivity conversion factor
. Chin. J. Comput. Phys. 27, 799-804(2010). doi: 10.3969/j.issn.1001-246X.2010.06.002Measurement of total fission number by delayed neutron method for burst reactor
. Atom. Energy. Sci. Technol. 41, 699-701(2007). doi: 10.3969/j.issn.1000-6931.2007.06.014Rossi-α and βeff measurements in a fast critical assembly
. Prog. Nucl. Energy. 35, 169-181(1999). doi: 10.1016/S0149-1970(99)00010-4Verification of the evaluated fission product yields data from the neutron induced fission of 235U, 238U and 239Pu based on the delayed neutron characteristics
. Prog. Nucl. Energy. 83, 13-25(2015). doi: 10.1016/j.pnucene.2015.02.016