Case Study for the Application of Multidisciplinary Computational Design Assessment and Constructability Optimisation Tools

Author(s):  
Cari R. Bryant ◽  
Matt Bohm ◽  
Robert B. Stone ◽  
Daniel A. McAdams

This paper builds on previous concept generation techniques explored at the University of Missouri - Rolla and presents an interactive concept generation tool aimed specifically at the early concept generation phase of the design process. Research into automated concept generation design theories led to the creation of two distinct design tools: an automated morphological search that presents a designer with a static matrix of solutions that solve the desired input functionality and a computational concept generation algorithm that presents a designer with a static list of compatible component chains that solve the desired input functionality. The merger of both the automated morphological matrix and concept generation algorithm yields an interactive concept generator that allows the user to select specific solution components while receiving instantaneous feedback on component compatibility. The research presented evaluates the conceptual results from the hybrid morphological matrix approach and compares interactively constructed solutions to those returned by the non-interactive automated morphological matrix generator using a dog food sample packet counter as a case study.


Author(s):  
Stéphane Paboeuf ◽  
Laura-Mae Macadré ◽  
Pascal Yen Kai Sun

Tidal turbines are emerging technologies offering great potential for the harnessing of a renewable and predictable oceanic resource. However, exploitation at sea comes with significant design, installation, grid connection, and maintenance operations challenges. Consequently, guidelines and standards are required to ensure safety, quality, performance and accelerate tidal turbines development and commercialisation. Standardisation is also a necessity to support and improve safety and confidence of a wide range of Marine Renewable Energy (MRE) stakeholders such as designers, project operators, investors, insurers or final users. There are undergoing developments on guidelines, standards and certification systems within the International Electrotechnical Commission (IEC) Technical Committee TC 114 “Marine energy - Wave, tidal and other water current converters” and the IEC Renewable Energy “Marine Energy - Operational Management Committee” (IECRE ME – OMC). However, as the tidal energy concepts are only at the demonstration stage, only few guidelines and no dedicated certification scheme has been published so far within this organization, which guarantee an international, independent, non-governmental and consensus-based elaboration process. The aim of this paper is to present a proposal of certification methodology, developed by Bureau Veritas for the design assessment of current and tidal turbines, and its application to a French case study. This certification procedure was developed within the French research project Sabella D10 funded by ADEME and is published in the Bureau Veritas guideline NI603 “Current & Tidal Turbines”. The suggested certification procedure addresses prototype, component, type and project certification. Main objective, scope, intermediary steps to be completed and resulting certificates will be detailed for each certification scheme, as well as their interactions. This methodology will be illustrated by the case study on the Sabella D10 prototype, a French tidal turbine installed in 2015 in the Fromveur Passage, off Ushant Island. Sabella D10 is a 1 MW tidal turbine fully submerged laid on the seabed with a horizontal axis and 6 blades. It is the first French tidal turbine producing electricity and connected to the electrical network. The Sabella D10 case study will focus on prototype certification and computations performed for support structure and blades. The paper will describe the load cases that have been considered, the review procedure for the support structure and the blades design assessment, including description of a streamlined method for basic design and a detailed method for final design. In conclusion, the next steps will be introduced to continue the certification developments of tidal and current turbines.


2021 ◽  
Vol 7 ◽  
Author(s):  
Cody Ising ◽  
Pedro Rodriguez ◽  
Daniel Lopez ◽  
Jeffrey Santner

In combustion chemistry experiments, reaction rates are often extracted from complex experiments using detailed models. To aid in this process, experiments are performed such that measurable quantities, such as species concentrations, flame speed, and ignition delay, are sensitive to reaction rates of interest. In this work, a systematic method for determining such sensitized experimental conditions is demonstrated. An open-source python script was created using the Cantera module to simulate thousands of 0D and hundreds of 1D combustion chemistry experiments in parallel across a broad, user-defined range of mixture conditions. The results of the simulation are post-processed to normalize and compare sensitivity values among reactions and across initial conditions for time-varying and steady-state simulations, in order to determine the “most useful” experimental conditions. This software can be utilized by researchers as a fast, user-friendly screening tool to determine the thermodynamic and mixture parameters for an experimental campaign. We demonstrate this software through two case studies comparing results of the 0D script against a shock tube experiment and results of the 1D script against a spherical flame experiment. In the shock tube case study we present mixture conditions compared to those used in the literature to study H + O2 (+M)→HO2(+M). In the flame case study, we present mixture conditions compared to those in the literature to study formyl radical (HCO) decomposition and oxidation reactions. The systematically determined experimental conditions identified in the present work are similar to the conditions chosen in the literature.


2021 ◽  
Author(s):  
J Rogers ◽  
Marc Aurel Schnabel ◽  
Tane Moleta

This paper presents the trilogy of virtual classifications, the speculative environment, the virtual inhabitant and the virtual built-form. These combine, generating a new realm of design within immersive architectural space, all to be designed relative to each other, this paper focuses on the speculative environment portion. This challenged computational design and representation through atmospheric filters, visible environment boundaries, materiality and audio experience. The speculative environment was generated manipulating the physical laws of the physical world, applied within the virtual space. The outcome provided a new spatial experience of architectural dynamics enhanced by detailed spatial qualities. Design concepts within this paper suggest at what immersive virtual reality can evolve into. Following an interconnective design methodology framework allowed a high level of complexity and richness to shine through the research case study throughout the process and final dissemination stages.


2021 ◽  
Author(s):  
J Rogers ◽  
Marc Aurel Schnabel ◽  
Tane Moleta

This paper presents the trilogy of virtual classifications, the speculative environment, the virtual inhabitant and the virtual built-form. These combine, generating a new realm of design within immersive architectural space, all to be designed relative to each other, this paper focuses on the speculative environment portion. This challenged computational design and representation through atmospheric filters, visible environment boundaries, materiality and audio experience. The speculative environment was generated manipulating the physical laws of the physical world, applied within the virtual space. The outcome provided a new spatial experience of architectural dynamics enhanced by detailed spatial qualities. Design concepts within this paper suggest at what immersive virtual reality can evolve into. Following an interconnective design methodology framework allowed a high level of complexity and richness to shine through the research case study throughout the process and final dissemination stages.


Author(s):  
Marn-Ling Shing ◽  
Chen-Chi Shing ◽  
Lee-Pin Shing ◽  
Lee-Hur Shing

Teaching a mathematics foundation course such as Discrete Mathematics for an information technology curriculum is always a challenge. The challenge may be identifying students  mathematical backgrounds early and then using different teaching techniques in the classroom. An even bigger challenge is that many topics have to be covered effectively in a short semester course. This paper provides a standard quantitative methodology for conducting an outcome assessment using Discrete Mathematics as a case study. It starts with creating an ABET accredited course outcome based on different learning levels. And then it shows how to design assessment instruments, how to determine the sample size, how to collect data and how to analyze and validate the data.


2018 ◽  
Vol 63 (1) ◽  
pp. 47-71
Author(s):  
Patricia Rodríguez-Inés ◽  
Olivia Fox

Translating into a language that is not one’s native language is no easy task, but one which may be necessary in certain settings. If a market niche exists for professional translators whose working language is not their native language, as studies have shown it does in Spain, it seems appropriate that translation trainees should be encouraged to develop their competence in what is generally known in Translation Studies as inverse (A-B/C) translation, in order to satisfy market requirements. Given current European Higher Education Area (EHEA) requirements for training students for the professional workplace, most translation degree programs in universities in Spain include subjects in which students are required to translate into the foreign language. This paper describes an early attempt to reconcile institutional requirements (curriculum design, assessment, reporting) and professional requirements (development of translation and instrumental competences, together with so-called softskills) in the specialised inverse translation class in the Faculty of Translation and Interpreting of the Universitat Autònoma de Barcelona. A competence-based, learner-centred, process-oriented curriculum was instituted.


2021 ◽  
Vol 2042 (1) ◽  
pp. 012070
Author(s):  
Tobias Kramer ◽  
Veronica Garcia-Hansen ◽  
Sara Omrani Vahid M. Nik ◽  
Dong Chen

Abstract This paper presents an alternative workflow for thermal comfort prediction. By using the leverage of Data Science & AI in combination with the power of computational design, the proposed methodology exploits the extensive comfort data provided by the ASHRAE Global Thermal Comfort Database II to generate more customised comfort prediction models. These models consider additional, often significant input parameters like location and specific building characteristics. Results from an early case study indicate that such an approach has the potential for more accurate comfort predictions that eventually lead to more efficient and comfortable buildings.


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