Consolidation out of Diversification in Narratology

Although the field of narratology is increasingly diversified with the appearance of various new approaches and new models, it has more elements of consolidation than the picture appears to be. I will discuss three aspects of consolidation: (1) how postclassical narratologies consolidate classical narrative poetics; (2) how the cognitive approach to unreliability consolidates the rhetorical criterion of unreliability and, moreover, how the rhetorical approach consolidates the cognitive concern with individual readers; and (3) how the Chinese classification of modes of discourse presentation consolidates its Western counterpart

Path Following Control of Automated Vehicle Considering Uncertainties and Disturbances with Parametric Varying

Automated Vehicle Path Following Control (PFC) is an advanced control system that can regulate the vehicle into a collision-free region in the presence of other objects on the road. Common collision avoidance functions, such as forward collision warning and automatic emergency braking, have recently been developed and equipped on production vehicles. However, it is impossible to develop a perfectly precise vehicle model when the vehicle is driving. Most PFCs did not consider uncertainties in the vehicle model, external disturbances, and parameter variations at the same time. To address the issues associated with this important feature and function in autonomous driving, a new vehicle PFC is proposed using a robust model predictive control (MPC) design technique based on matrix inequality and the theoretical approach of the hybrid $\&$ switched system. The proposed methodology requires a combination of continuous and discrete states, e.g. regulating the continuous states of the AV (e.g., velocity and yaw angle) and discrete switching of the control strategy that affects the dynamic behaviors of the AV under different driving speeds. Firstly, considering bounded model uncertainties, and norm-bounded external disturbances, the system states and control matrices are modified

Validations of Computational Codes of Molten Salt Reactors

As one of the six advanced reactor concepts selected by the 2002 Generation IV roadmap as a technology meriting future research, Molten Salt Reactors (MSRs) attracted broad attention and multiple private and public entities are working towards its commercialization. Facing stringent regulatory requirements, validations of computational codes used to calculate and prove the safety characteristics of MSRs play a key role.This project developed the world-first, MSR-related reactor physics benchmark basing on the series of zero-power experiments of the Molten Salt Reactor Experiment (MSRE) for the International Reactor Physics Experiment Evaluation Project (IRPhEP) handbook, in order to fill the knowledge gap of MSR benchmarking.The role of the MSRE was to demonstrate the practicality of this high-temperature fluid-fuel reactor concept. Design of the MSRE was initiated at the Oak Ridge National Laboratory (ORNL) in 1960. It was a successful experiment, demonstrating key features of the liquid- fuel MSR, enhancing confidence in the practicality and performance of MSRs and leaving numerous experimental data from nuclear operation.To reconstruct the MSRE, a three-dimensional high-fidelity benchmark model was developed by Monte Carlo neutron transport code Serpent2 with new methods developed to account for the unique feature of fuel salt motion in the core. The calculated effective multiplication factor, keff, for the criticality experiment, when 235U was progressively added to the fuel salt in order to achieve criticality with stationary salt and isothermal conditions, was 1.02132 (±3 pcm). The total uncertainty for experimental keff was estimated to be 420 pcm. The calculated keff is 2.154% larger than the experimental and benchmark model value, which is approximately 5 times the benchmark model uncertainty. It is to be noted that, for systems containing large volume of graphite (or other carbonaceous materials), Monte Carlo codes tend to overestimate the keff of the benchmark model by 1% to 2%. The bias is possibly due to uncertainties in the impurity content of the graphite blocks, the accuracy of the neutron capture cross section of carbon and the accuracy to model the nuclear-grade graphite.The calculated reactivity coefficient of 235U concentration on the MSRE benchmark model (0.2228±0.0014, represented as the change of reactivity over the relative change of 235U mass in loop) matches well with the experiment value (0.223±0.006), strengthening the confidence of accurate representation of the fuel salt composition in the MSRE benchmark. Most of other reactivity effect calculations, including the control rod bank worth, reactivity effects of fuel circulation and isothermal and fuel temperature coefficients show good agreement with experiment values (within 1σ) as well.This dissertation also illustrates the scenario of building a series of neutronics benchmarks for the Fluoride-salt-cooled High-temperature Reactor (FHR), a conceptual MSR without fueled experiments to compare. This is a code-to-code verification benchmark and can be used to verify the credibility of neutronics codes in modeling reactors with TRISO particle type fuel and a pebble bed geometry

The Future of Literary Theories: Exclusion, Complementarity, Pluralism

LiteratureA&HCI4ARTICLE3-4159-1803