Refine
Year of publication
- 2024 (41)
- 2023 (89)
- 2022 (133)
- 2021 (136)
- 2020 (168)
- 2019 (193)
- 2018 (168)
- 2017 (153)
- 2016 (154)
- 2015 (162)
- 2014 (160)
- 2013 (170)
- 2012 (161)
- 2011 (183)
- 2010 (179)
- 2009 (179)
- 2008 (149)
- 2007 (137)
- 2006 (129)
- 2005 (122)
- 2004 (150)
- 2003 (95)
- 2002 (123)
- 2001 (103)
- 2000 (102)
- 1999 (109)
- 1998 (98)
- 1997 (96)
- 1996 (81)
- 1995 (78)
- 1994 (86)
- 1993 (59)
- 1992 (54)
- 1991 (29)
- 1990 (39)
- 1989 (44)
- 1988 (56)
- 1987 (32)
- 1986 (19)
- 1985 (33)
- 1984 (22)
- 1983 (20)
- 1982 (29)
- 1981 (20)
- 1980 (36)
- 1979 (24)
- 1978 (34)
- 1977 (14)
- 1976 (13)
- 1975 (12)
- 1974 (3)
- 1973 (2)
- 1972 (2)
- 1971 (1)
- 1968 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (1564)
- Fachbereich Elektrotechnik und Informationstechnik (711)
- IfB - Institut für Bioengineering (563)
- Fachbereich Energietechnik (561)
- Fachbereich Chemie und Biotechnologie (537)
- INB - Institut für Nano- und Biotechnologien (533)
- Fachbereich Luft- und Raumfahrttechnik (480)
- Fachbereich Maschinenbau und Mechatronik (262)
- Fachbereich Wirtschaftswissenschaften (205)
- Solar-Institut Jülich (161)
Has Fulltext
- no (4685) (remove)
Language
- English (4685) (remove)
Document Type
- Article (3193)
- Conference Proceeding (1033)
- Part of a Book (191)
- Book (144)
- Doctoral Thesis (30)
- Conference: Meeting Abstract (28)
- Patent (25)
- Other (10)
- Report (9)
- Conference Poster (5)
Keywords
- Gamification (6)
- avalanche (6)
- Earthquake (5)
- Enterprise Architecture (5)
- MINLP (5)
- solar sail (5)
- Additive manufacturing (4)
- Diversity Management (4)
- Energy storage (4)
- Engineering optimization (4)
Side bands in ¹⁷² Hf
(1977)
As an interdisciplinary research network, the Cluster of Excellence “Integrative Production Technology for High-Wage Countries” (CoE) comprises of around 150 researchers. Their scientific background ranges from mechanical engineering and computer science to social sciences such as sociology and psychology. In addition to content- and methodbased challenges, the CoE’s employees are faced with heterogenic organizational cultures, different hierarchical levels, an imbalanced gender distribution, and a high employee fluctuation. The sub-project Scientific Cooperation Engineering 1 (CSP1) addresses the challenge of interdisciplinary cooperation and organizational learning and aims at fostering interdisciplinarity and its synergies as a source of innovation. Therefore, the project examines means of reaching an organizational development, ranging from temporal structures to a sustainable network in production technology. To achieve this aim, a broad range of means has been developed during the last twelve years: In addition to physical measures such as regular network events and trainings, virtual measures such as the Terminology App were focused. The app is an algorithmic analysis method for uncovering latent topic structures of publications of the CoE to highlight thematic intersections and synergy potentials. The detection and promotion of has been a vital and long known element in knowledge management. Furthermore, CSP1 focusses on project management and thus developed evaluation tools to measure and control the success of interdisciplinary cooperation. In addition to the cooperation fostering measures, CSP1 conducted studies about interdisciplinarity and diversity and their relationship with innovation. The scientific background of these means and the research results of CSP1 are outlined in this paper to offer approaches for successful interdisciplinary cooperation management.
Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.