Thesis (M.A.)--Ohio University, November, 2009. / Title from PDF t.p. Includes bibliographical references.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaves 121-130). Also available via the Internet.

No description available.

Thesis (Ph. D.)--University of Texas at Austin, 2002. / Vita. Includes bibliographical references. Available also from UMI Company.

Not available / text

No description available.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 175-181).

The process of model generation is key to the realization of a Simulation Model Development Environment. Model generation is facilitated in the environment via the Model Generator - a software utility that assists a modeler in the development of a simulation model specification. Since modeling is inherently creative, the correct assistance provided to a modeler can neither be derived algorithmically, nor proved mathematically. Only through experimentation with prototypical assistance forms can we begin to understand the meaning of correctness. This thesis describes the development of a Model Generator prototype for the Simulation Model Development Environment. A review of the literature indicates the need for more extensive questioning of the model generation process to identify the proper foundational support than 1s available in applications designed under the program generation approach. The Conical Methodology provides the Conceptual Framework, and the Condition Specification provides the target specification form for the Model Generator prototype. A set of algorithms to derive a condition specification via a series of interactive dialogues is presented, and the results of early prototype experimentation are discussed. New questions are raised as to the role of relational attributes in the Conical Methodology and the extent and types of model analysis provided by a Model Generator. Finally, an analysis of the Model Generator as a platform for the assessment of the Conical Methodology/Condition Specification is given and directions for future research outlined. / Master of Science

This thesis examines those aspects of simulation with digital computers which concern the use of conceptual frameworks (CFs) for the design and implementation of a model. A literature review of CFs which are in common use is conducted. These CFs are applied to a complex modeling problem, a traffic intersection system. A comparative review of the CFs is given based upon the lessons learned from the above applications, and a taxonomy is developed. The research clarifies the differences that exist among the myriad of CFs in use today. In particular, the comparative review highlights the significant CF features that are necessary for successful model representation of discrete-event systems. The taxonomy provides a useful and meaningful classification of CFs and produces insights in to the conceptual relationships that exist among them. The characteristics of CFs that are desired to enable the development of model specifications that are analyzable, domain independent, and fully translatable are identified. The roles of CFs are better understood and specific potential directions for future research are pinpointed. / Master of Science

The motivation for this study is to create a scaled laboratory model of a steel construction pile being driven by an impact hammer, which can provide controlled data to aid understanding and development of a structural acoustics numerical model simulating full-scale impact pile driving. The scaled model is approximately thirty times shorter than a typical 30-meter long Cast-in-Shell-Steel (CISS) pile. The relationship between the impact force, structural vibrations, and radiated sound field is analyzed. The time-domain acoustic intensity in the radial direction is found to be predominately negative immediately following excitation by the impact force. Analysis of the radial intensity shows that during the hammer strike, there is a net flow of energy from the structure into the water; however, because the structure and water are acoustically coupled a significant portion of the energy immediately flows back into the cylinder following hammer impact. This fluid-structure interaction results in a highly damped acoustic pulse in the water that propagates to the far field. In addition, the frequency spectra of the impact force, model pile wall acceleration in the radial direction in air and water, and underwater acoustic pressure are analyzed to find transfer functions between these variables. The transfer function between impact force and sound pressure is of particular interest because it can be used to calculate the system response for any other applied hammer force. This transfer function analysis has potential applications in mitigating noise generated by impact pile driving.