Preference Modeling in Engineering Design
In: Decision Making in Engineering Design, S. 43-47
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In: Decision Making in Engineering Design, S. 43-47
In: Technology, Humans, and Society, S. 159-181
In: Nuclear and chemical waste management, Band 7, Heft 3-4, S. 177
ISSN: 0191-815X
In: Acta polytechnica: journal of advanced engineering, Band 43, Heft 3
ISSN: 1805-2363
Traditional methods for designing of civil engineering structures and other engineering systems are frequently based on the concept of target probability of failure. However, this fundamental quantity is usually specified on the basis of comparative studies and past experience only. Moreover, probabilistic design methods suffer from several deficiencies, including lack of consideration for accidental and other hazard situations and their consequences. Both of these extreme conditions are more and more frequently becoming causes of serious failures and other adverse events. Available experience clearly indicates that probabilistic design procedures may be efficiently supplemented by a risk analysis and assessment, which can take into account various consequences of unfavourable events. It is therefore anticipated that in addition to traditional probabilistic concepts the methods of advanced engineering design will also commonly include criteria for acceptable risks.
In: Water and environment journal, Band 7, Heft 1, S. 18-23
ISSN: 1747-6593
AbstractThe role of mathematical models in engineering design is no longer that of simply automating techniques which were previously carried out manually. Throughout industry models are now becoming accepted as one of the main decision support systems to managers. This is certainly the case in engineering design for managing the environment. We are rapidly moving into the age of expert systems and hydro‐informatics, where the primary aim of most models is decision support. In this paper the role of the models in modern practice is reviewed and illustrated by case histories.
In: Science, technology, & human values: ST&HV, Band 31, Heft 3, S. 223-236
ISSN: 1552-8251
Engineering ethics and science and technology studies (STS) have until now developed as separate enterprises. The authors argue that they can learn a lot from each other. STS insights can help make engineering ethics open the black box of technology and help discern ethical issues in engineering design. Engineering ethics, on the other hand, might help STS to overcome its normative sterility. The contributions in this special issue show in various ways how the gap between STS and engineering ethics might be overcome. In this editorial introduction, the authors discuss the various contributions briefly and delve into the way the various authors conceptualize the engineering design process and the consequences of those conceptualizations for what ethical issues become visible. They also discuss the implications for the responsibility of engineers for technological development.
In: Materials & Design, Band 16, Heft 5, S. 302-303
In: Materials & Design, Band 15, Heft 6, S. 375-376
In: http://hdl.handle.net/2027/uiug.30112101043963
"This handbook was prepared by the Research Triangle Institute, Research Triangle Park, NC--for the Engineering Handbook Office of Duke University, prime contractor to the U.S. Army Materiel Command.--." ; Cover title. ; Includes bibliographies and index. ; pt. 3. Induced environmental factors. ; Mode of access: Internet. ; 2
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In: IRE Transactions on Engineering Management, Band EM-8, Heft 2, S. 55-71
In: Small group research: an international journal of theory, investigation, and application, Band 31, Heft 3, S. 354-382
ISSN: 1552-8278
In this article, the authors test the hypothesis that cycles of speaking and turn taking during group design discussions are entrained to rhythmic shifts in group-level modes of reasoning. Video recordings of six teams of engineering students performing realistic design tasks were coded for instances of figural and conceptual reasoning, rates of turn taking, and group participation. Exploratory spectral analysis pointed to rhythmic oscillations every 5 to 10 minutes between periods of predominantly figural or conceptual discussion, whereas structural equations modeling indicated a lead-lag relationship between peaks in figural reasoning and lowered levels of conceptual reasoning, group participation, and turn taking. The authors interpret these results as evidence for cognitive entrainment in group discussion and illustrate the potential of frequency and pooled time series techniques for studying the temporal structure of group interaction.
In: Decision Making in Engineering Design, S. 21-33
In: IEEE technology and society magazine: publication of the IEEE Society on Social Implications of Technology, Band 20, Heft 3, S. 15-22
ISSN: 0278-0097
In: Futures: the journal of policy, planning and futures studies, Band 29, Heft 3, S. 177
ISSN: 0016-3287