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ADAM: AN ACCIDENT DIAGNOSTIC, ANALYSIS AND MANAGEMENT SYSTEM APPLICATIONS TO SEVERE ACCIDENT SIMULATION AND MANAGEMENT

机译:亚当:对严重事故模拟和管理的事故诊断,分析和管理系统应用

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The Accident Diagnostic, Analysis and Management (ADAM) computer code has been developed as a tool for online applications to accident diagnostics, simulation, management and training. ADAM's severe accident simulation capabilities incorporate a balance of mechanistic, phenomenologically based models with simple parametric approaches for elements including (but not limited to) thermal hydraulics; heat transfer; fuel heatup, meltdown, and relocation; fission product release and transport; combustible gas generation and combustion; and core-concrete interaction. The overall model is defined by a relatively coarse spatial nodalization of the reactor coolant and containment systems and is advanced explicitly in time. The result is to enable much faster than real time (i.e., 100 to 1000 times faster than real time on a personal computer) applications to on-line investigations and/or accident management training. Other features of the simulation module include provision for activation of water injection, including the Engineered Safety Features, as well as other mechanisms for the assessment of accident management and recovery strategies and the evaluation of PSA success criteria. The accident diagnostics module of ADAM uses on-line access to selected plant parameters (as measured by plant sensors) to compute the thermodynamic state of the plant, and to predict various margins to safety (e.g., times to pressure vessel saturation and steam generator dryout). Rule-based logic is employed to classify the measured data as belonging to one of a number of likely scenarios based on symptoms, and a number of "alarms" are generated to signal the state of the reactor and containment. This paper will address the features and limitations of ADAM with particular focus on accident simulation and management.
机译:事故诊断,分析和管理(ADAM)计算机代码已成为在线应用程序的工具,用于事故诊断,模拟,管理和培训。 ADAM的严重事故模拟能力包括机械效力,基于现象学的模型,具有简单的参数方法,包括(但不限于)热液压;传播热量;燃料暖和,崩溃和搬迁;裂变产品释放和运输;可燃气体产生和燃烧;和核心混凝土相互作用。整体模型由反应器冷却剂和容纳系统的相对粗糙的空间脱氮定义,并在时间明确提前。结果是使得能够比实时更快(即,超过100至1000倍,而不是个人计算机上的实时时间)应用于在线调查和/或事故管理培训。仿真模块的其他特征包括用于激活注水,包括工程安全特征,以及评估事故管理和恢复策略的其他机制以及对PSA成功标准的评估。 ADAM的事故诊断模块使用对所选工厂参数的在线访问(按工厂传感器测量)来计算植物的热力学状态,并预测到安全性的各种余量(例如,压力容器饱和和蒸汽发生器干扰的时间)。基于规则的逻辑被用于将测量数据分类为属于基于症状的许多可能场景之一,并且产生了许多“警报”以发出反应器和容纳的状态。本文将解决亚当的特点和局限,特别关注事故模拟和管理。

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