Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Weizmann, M., Amir, O., & Grobman, Y. J. (2019) Structural performance of semi-regular topological interlocking assemblies , Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 1-7)

	Grobman, J. Y. (2011) Performalism: Form and Performance in Digital Architecture / Yasha J , Grobman and Eran Neuman. In Performalism: Form and performance in digital architecture. Routledge

	Grobman, Yasha J, and Yosie Elimelech (2016) Microclimate on Building Envelopes: Testing Geometry Manipulations as an Approach for Increasing Building Envelopes’ Thermal Performance , Architectural Science Review 59 (4): 1–10

	Sprecher, Aaron (2012) Informationism: Information as Architectural Performance , Performalism: Form and Performance in Digital Architecture, edited by Yasha J. Grobman and Eran Neuman, 27–31. New York: Routeldge

	A. Jipa, M. Bernhard, B. Dillenburger, N. Ruffray, T. Wangler, R. Flatt (2017) skelETHon Formwork 3D Printed Plastic Formwork for Load-Bearing Concrete Structures , Blucher Design Proceedings 345–352

	A. Nee Wenkai Li and S. Ong (2017) A State-of-the-Art Review of Augmented Reality in Engineering Analysis and Simulation , MultimodalTechnologies and Interaction 1 (3): 17

	A. Odena, C. Olah, and J. Shlens (2017) Conditional Image Synthesis with Auxiliary Classifier GANs , Proceedings of the 34th International Conference on Machine Learning. PMLR 70: 2642–2651

	A. Papadopoulou, J. Laucks, and S. Tibbits (2017) From self-assemblies to evolutionary structures , Architectural Design 87 (4): 28–37

	A. Papadopoulou, J. Laucks, and S. Tibbits (2017) From Self[1]Assembly to Evolutionary Structures , Architectural Design 87 (4): 28–37

	A. Rossi and O. Tessmann (2017) Geometry as Assembly– Integrating Design and Fabrication with Discrete Modular Units , Proceedings of the 35th eCAADe Conference: ShoCK!: Sharing Computational Knowledge!, vol 2. 201–210

	A. Rossi and O. Tessmann (2017) Collaborative Assembly of Digital Materials, Discip + Disruption , ACADIA, 512–521

	A. Yamaguchi and C. G. Atkeson (2017) Implementing tactile behaviors using FingerVision , IEEE-RAS International Conference on Humanoid Robots

	Aage, N., Andreassen, E., Lazarov B. S. & Sigmund, O. (2017) Giga-voxel computational morphogenesis for structural design , Nature, 550, 84-86. https://doi.org/10.1038/nature23911Bai, J. T., & Zuo, W. J. (2020). Hollow structural design in topology optimization via moving morphable component method. Structural and Multidisciplinary Optimization, 6, 187-205

	Abanto, G.A., Karkri, M., Lefebvre, G., Horn, M., Solis, J.L. and Gómez, M.M., (2017) EurOtop: Manual on wave overtopping of sea defences and related structures , Case Studies in Construction Materials, 6, pp.177-191

	Abar S, Theodoropoulos GK, Lemarinier P, et al (2017) Agent based modelling and simulation tools: a review of the stateof-art software , Computer Sci Rev 2017; 24: 13–33.

	Abar S., Theodoropoulos G., Lemarinier, P. and O'Hare, G. (2017) Agent Based Modelling and Simulation tools: A review of the state-of-art software , Computer Science Review 24, pp. 13-33

	Abarca-Gómez, L. et al. (2017) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults , The Lancet, 390(10113), pp. 2627 - 2642 https://doi.org/10.1016/S0140-6736(17)32129-3

	Abbas, OM (2017) Forecasting with Machine Learning , International Journal of Computer., 26, pp. 184-194

	Abbasabadi, N. and Ashayeri, M. (2019) Urban energy use modelling methods and tools: A review and an outlook , Building and Environment, 161, 106270. https://doi.org/10.1016/j.buildenv.2019.106270Alhamwi, A., Medjroubi, W., Vogt, T. and Agert, C. (2017). GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas. Applied Energy, 191, 1-9. https://doi.org/10.1016/j.apenergy.2017.01.048Chen, Y. and Hong, T. (2018). Impacts of building geometry modelling methods on the simulation results of urban building energy models. Applied Energy, 215, 717-735. https://doi.org/10.1016/j.apenergy.2018.02.073Chen, Y., Hong, T., Luo, X. and Hooper, B. (2019). Development of city buildings dataset for urban building energy modelling. Energy and Buildings, 183, 252-265. https://doi.org/10.1016/j.enbuild.2018.11.008Davila, C.C., Reinhart, C.F., and Bemis, J.L. (2016). Modelling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets. Energy, 117, 237-250. https://doi.org/10.1016/j.energy.2016.10.057Dogan, T. and Reinhart, C. (2017). Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation. Energy and Buildings, 140, 140-153. https://doi.org/10.1016/j.enbuild.2017.01.030EC. (2021). 2030 Climate Target Plan. European Commission. Retrieved June 1, 2021, from https://ec.europa.eu/clima/eu-action/european-green-deal/2030-climate-target-plan_en

	Abboud, R (2017) Architecture in an Age of Augmented Reality: Opportunities and Obstacles for Mobile AR in Design, Construction, and Post - Completion. , Master's Thesis, NAWIC

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