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| 1 | Robustness analysis of underground powerhouse construction simulation based on Markov Chain Monte Carlo method显示文摘Scheduling is a major concern in construction planning and management, and current construction simulation research typically targets the shortest total duration. However, uncertainties are inevitable in actual construction, which may lead to discrepancies between the actual and planned schedules and increase the risk of total duration delay. Therefore, developing a robust construction scheduling technique is of vital importance for mitigating disturbance and improving completion probability. In the present study, the authors propose a robustness analysis method that involves underground powerhouse construction simulation based on the Markov Chain Monte Carlo(MCMC) method. Specifically, the MCMC method samples construction disturbances by considering the interrelationship between the states of parameters through a Markov state transition probability matrix, which is more robust and efficient than traditional sampling methods such as the Monte Carlo(MC) method. Additionally, a hierarchical simulation model coupling critical path method(CPM) and a cycle operation network(CYCLONE) is built, using which construction duration and robustness criteria can be calculated. Furthermore, a detailed measurement method is presented to quantize the robustness of underground powerhouse construction, and the setting model of the time buffer is proposed based on the MCMC method. The application of this methodology not only considers duration but also robustness, providing scientific guidance for engineering decision making. We analyzed a case study project to demonstrate the effectiveness and superiority of the proposed methodology. | ZHONG DengHua BI Lei YU Jia ZHAO MengQi | 2016 | Science China(Technological Sciences)2016，59，2： | 6 |
| 2 | A moment-based stochastic edge-based smoothed finite element method for electromagnetic forming process显示文摘In this paper, a novel stochastic method named as the moment-based stochastic edge-based finite element method(MSES-FEM)is proposed to deal with the uncertain electromagnetic problems. First, electromagnetic and mechanical field are formulated by smoothed Galerkin Weak Form under edge-based smoothed finite element method(ES-FEM) scheme. The moment analysis is then applied to obtain the first four moments of the responses and to observe the effects of each random variable on electromagnetic field responses. The maximum entropy theory is employed to calculate the probability density functions(PDFs) of the responses. A quasi-static electromagnetic problem and a practical electromagnetic forming problem(EMF) are performed. The proposed method successfully solves stochastic electromagnetic forming analysis under the uncertain parameters. Numerical results obtained by the proposed MSES-FEM are quite satisfactory with the ones by the Monte Carlo simulation(MCS). | YANG Qin WANG Bing LI She CUI XiangYang | 2020 | Science China(Technological Sciences)2020，63，9： | 0 |
| 3 | 基于Walsh-Hadamard变换与栈式自编码快速核素识别显示文摘为解决短时辐射环境核素组成分析问题,提出了基于Walsh-Hadamard变换与栈式自编码快速核素识别算法。该算法采用探测率和精确核素识别能谱计数两个参数作为评价新型核素识别算法性能的指标。实验结果表明:新核素识别算法在满足精确核素识别能谱计数的条件下,性能不受探测时间、核素个数和探测距离的影响,而且对运动放射源具有较好的识别性能。新核素识别算法可用于辐射检测设备的快速核素识别。 | 何建平 汤晓斌 龚频 王鹏 韩镇阳 高乐 颜文 | 2017 | 核电子学与探测技术2017，37，8： | 0 |
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