Kinetic Architecture Application at The Shed at Hudson Yards

Author(s):  
Brian Hamill

<p>As the arrangement of modern performance art evolves to be more dynamic and fluid, the physical and programmatic flexibility of performance spaces plays a vital role in the long-term sustainability of these facilities. Because of its transformable nature and ability to provide unprecedented flexibility, kinetic architecture is a fast-growing field which integrates architecture with electro-mechanical and structural engineering. Building functionality and performance integration is enhanced by moving various elements to reconfigure a space to the desires of its artists. Retractable roofs have been used in stadiums and other types of facilities to control environmental effects; however, this case study demonstrates how kinetic architecture has been creatively adapted to provide a highly flexible performance and exhibit space.</p><p>This paper provides a brief overview of the design and construction of The Shed at Hudson Yards. This twelve- story high moving structure, weighing 3725 tonnes (8,000,000 pounds), is designed to be moved from its nested position over a fixed building to its deployed position over the adjacent plaza. The Shed’s deployed position creates an enclosed space similar in size and scale to the main concourse of Grand Central Terminal. For additional flexibility, The Shed also features large movable wall sections which can be opened allowing air and pedestrian movement through the plaza space.</p>

Particles ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 333-342
Author(s):  
Ignacio Lázaro Roche

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as a geophysics tool over the past decade. It allows us to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or the wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.


2021 ◽  
Author(s):  
Daewook Kim ◽  
Wonhyuk Cho ◽  
Barbara Allen

Social economy organizations (SEOs), designed to do good for society, have been attracting significant attention as an alternative to purely profit-driven businesses. However, the sustainability of these hybrid organizations has been questioned due to the challenges in meeting the dual bottom-lines of financial performance and social purpose. This article takes a causal-process tracing (CPT) case study approach and analyzes eight SEOs to investigate the common characteristics of sustainable SEOs. The results of the analysis show that effective leadership is a sufficient (but not necessary) condition for the survival of SEOs, while leadership is a necessary (but not sufficient) condition for SEOs’ thriving. Business competitiveness is found to be necessary for SEOs’ long-term success and performance over time. Collaborative networking is a contributory condition for SEOs thriving but not a necessary condition for their survival.


2011 ◽  
Vol 299-300 ◽  
pp. 1252-1255
Author(s):  
Hui Jin ◽  
Chun Ling Liu ◽  
Xing Yu Wang

Supplier evaluation and selection is one of the most important components of supply chain, which influence the long term commitments and performance of the plant. Supplier selection is a complex multi-criteria problem which includes both qualitative and quantitative factors. In order to select the best suppliers it is essential to make a trade off between these tangible and intangible factors some of which may conflict. In this paper, an AHP-based supplier selection model is formulated and then applied to a real case study for a polyamide fiber plant in China. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination.


Author(s):  
Reinaldo Moraga ◽  
Luis Rabelo ◽  
Alfonso Sarmiento

In this chapter, the authors present general steps towards a methodology that contributes to the advancement of prediction and mitigation of undesirable supply chain behavior within short- and long- term horizons by promoting a better understanding of the structure that determines the behavior modes. Through the integration of tools such as system dynamics, neural networks, eigenvalue analysis, and sensitivity analysis, this methodology (1) captures the dynamics of the supply chain, (2) detects changes and predicts the behavior based on these changes, and (3) defines needed modifications to mitigate the unwanted behaviors and performance. In the following sections, some background information is given from literature, the general steps of the proposed methodology are discussed, and finally a case study is briefly summarized.


2013 ◽  
Vol 3 ◽  
pp. 156-167 ◽  
Author(s):  
S Dhakal

Use of improved seeds has a vital role in enhancing agricultural production. Agriculture extension has implemented farmers’ managed seed multiplication program at the community level to ensure efficient supply of improved seeds. Several success and failure cases of seed multiplication through farmers' organizations were experienced. Therefore, a case study was conducted in the western terai region of Nepal to explore the factors responsible for success/failure of farmers' organizations involved in seed production. The results of the study found that internal factors of group, nature of extension support, quality control mechanism, and seed marketing approaches are the key elements, which affect the performance of farmers' organizations- seed groups and cooperatives. It was also observed that organizations developed in farmers' own initiatives performed better than those formed in external influence. The results of this research suggest that the autonomy of group actions has long term impact on ownership development. Business skills, technical skills and organizational management skills were equally important for the viability of farmers' organizations so far as seed business is concerned. Agronomy Journal of Nepal (Agron JN) Vol. 3. 2013, Page 156-167 DOI: http://dx.doi.org/10.3126/ajn.v3i0.9018


2021 ◽  
Author(s):  
Daewook Kim ◽  
Wonhyuk Cho ◽  
Barbara Allen

Social economy organizations (SEOs), designed to do good for society, have been attracting significant attention as an alternative to purely profit-driven businesses. However, the sustainability of these hybrid organizations has been questioned due to the challenges in meeting the dual bottom-lines of financial performance and social purpose. This article takes a causal-process tracing (CPT) case study approach and analyzes eight SEOs to investigate the common characteristics of sustainable SEOs. The results of the analysis show that effective leadership is a sufficient (but not necessary) condition for the survival of SEOs, while leadership is a necessary (but not sufficient) condition for SEOs’ thriving. Business competitiveness is found to be necessary for SEOs’ long-term success and performance over time. Collaborative networking is a contributory condition for SEOs thriving but not a necessary condition for their survival.


2006 ◽  
Vol 129 (1) ◽  
pp. 148-154
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  

The long term management of a production asset raises several major issues, among which rank the technical management of the plant, its economics, and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) that take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance), and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate, and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.


Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance) and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.


Author(s):  
Ignacio Lázaro Roche

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as geophysics tool over the past decade. It allows to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.


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