Doctor of Philosophy, The Ohio State University, 2023, East Asian Languages and Literatures

My dissertation project is an exploration of the intricate literary networks encapsulated within two preeminent pre-Tang anthologies, Wen xuan and Yutai xinyong. I use the term “literary network” in a broader sense, which encompasses a wide range of interactions among literati and non-literati, as well as the textual connections generated across diverse genres of literature and transcending temporal boundaries. It deviates from the conventional approach that uses the concept of “community” in the cultural, literary, or social contexts to examine interactions among literati. Rather, I adopt a more complex notion of “network” to investigate the multi- layered relationships unveiled within the two anthologies. Through a network perspective, I consider not only direct relationships but also indirect connections, mutual influences, and interconnections within the network that cannot be identified by using only established approaches such as close reading. I recognize that literary influence and interactions are not confined to formal institutions or social hierarchies, but can occur across different social strata, genres, and time periods. By employing methodologies and tools from the Digital Humanities (DH), such as network analysis and data visualization, my study transforms information from basic data points into systems of relationships, thereby uncovering emerging patterns of social prominence and social interactions among writers and their inner circles, as reflected in the two pre-Tang anthologies. The objectives of my dissertation are threefold. First, it maps out the entire network of contemporaneous poetic communications in both Wen xuan and Yutai xinyong, as well as the comprehensive literary network, which crosses generic and periodic divisions, within the Wen xuan corpus. Second, it differentiates and analyzes various types and levels of social and literary influence, as indicated by weighted degree, betweenness, and various metrics through network ana (open full item for complete abstract)

Committee: Meow Hui Goh (Advisor); Leigh Bonds (Committee Member); Mark Bender (Committee Member); Patricia Sieber (Committee Co-Chair) Subjects: Asian Literature

Master of Science, The Ohio State University, 2018, Welding Engineering

A long-standing challenge in manufacturing of large-scale weldments is the control of welding-induced distortion and residual stress. It is a particularly challenging problem in Naval applications, where welded plates are often large and thin. Computational weld mechanics are increasingly utilized for optimizing welding process and sequence to achieve sound weld quality. An essential set of input to these weld models is the material property database. Oftentimes such material property data, especially that at elevated temperatures, is not available for many Naval steels. Even when it is available, the data is likely tested on steels from different producers or different heats, thus introducing uncertainty in the property data due to variations in base steel chemistry and microstructure. Hence, there is a significant need to develop a pedigreed material database including metallurgical, thermophysical, and thermomechanical data that have all been gathered from the same base steel to improve the accuracy of weld modeling. As a first step toward developing a pedigreed material database for current and future generations of Naval steels, ABS grade DH-36 steel, one of the most commonly used materials in Naval applications, was studied in the present research. Particularly, the DH-36 steel was subjected to a battery of experimental tests at various temperatures and heating/cooling rates to generate material property data needed for computational weld modeling. A weld model of coupon-scale tee joints was developed based on a commercial finite element analysis code with the tested material property data. The predicted distortion and residual stress were compared to respective experimental results measured by research partners. Furthermore, sensitivity analyses were performed to quantify the effect of model inputs such as yield strength and film loss coefficient on the calculated values of residual stress and distortion. The predicted residual stress and di (open full item for complete abstract)

Committee: Wei Zhang Dr. (Advisor); David Phillips Dr. (Committee Member) Subjects: Engineering; Materials Science