Investigating the role of origami algorithm in facades of high-rise buildings to reduce visual pollution and improve urban landscape quality

Anthropogenic Pollution

دوره 7، شماره 2، اسفند 2023، صفحه 1-8

نوع مقاله: ORIGINAL RESEARCH PAPER

شناسه دیجیتال (DOI): 10.57647/j.jap.2023.0702.16

نویسندگان

Tabassom Tabasi¹؛ Amir Farajolahi Rod^{* 2}؛ Vahid Ahmadi¹؛ Hamid Reza Shoaei³

¹Department of Architecture, Mashhad Branch, Islamic Azad University, Mashhad, Iran

²Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran.

³Department of Architecture, Shahrood Branch, Islamic Azad University, Shahrood, Iran

چکیده

The present study was conducted to identify and prioritize origami components affecting facades of high-rise buildings to explain the role of origami algorithm in improving urban landscape quality and reducing visual pollution. The research had an exploratory nature, and used the method of descriptive-survey data analysis. The research design was carried out in three steps, documentary analysis, Delphi survey and semiotic analysis. A panel of experts (n=15) was considered as specialists in urban planning, architecture and urban design. Data were analyzed by statistical tests, SPSS-22 software and MAXQDA 2020 software. A hypothetical model of high-rise building made in RHINO software using Grasshopper plugin was applied for simulation. The results of the questionnaires revealed the effects of 18 components on the facade of high-rise buildings and also 12 components on the improvement of urban landscape quality. The findings indicated a correlation between overall dimensions of origami algorithm and urban landscape quality, and showed that the components of "repetition", "details", "geometry" and "rhythm" were most related to the origami algorithm, thereby highlighting the strong impact of the origami algorithm on improving urban landscape quality. According to the simulation results, among the components affecting urban landscape quality, "View composition" had the largest contribution with the correlation coefficient of 130, followed by "Color" and "Balance and symmetry" with the coefficients of 120. The end of this classification included the component "position of openings" with the coefficient of 2.

کلیدواژه‌ها

Origami Algorithm؛ High-Rise Buildings؛ Visual Pollution؛ Urban Landscape Quality

مراجع

Abasi M, Tahbaz M, Vafaee R, (2015) Introducing an Innovative Variable Building Layers System (V.B.L.S). Naqshe Jahan, 5 (2): 55-64.

Bakhshi Balkanlou A, Salahuddin M, Bayazidi Q, (2019) Aesthetic criteria of modern architectural structures in developing countries with an emphasis on bionic architecture. Islamic Art Studies, 39: 87-76.

Bokharaee S, (2017) Oppressive Environments: An Analytical Investigation of the Role of Buildings and Set-tings. Soffeh, 27(77): 5-20.

Borzouei A, Zandieh M, Heidari S, (2021) Analyzing the Use of Origami to Increase the Solar Radiation on Photovoltaic Panels through Software Simulation. Iranian Architecture and Urbanism [Internet], 11(2):189-203. Available from: https://sid.ir/paper/370122/en

Biyik E, Araz M, Hepbasli A, Shahrestani M, Yao R, Shao L, Atlı YB, (2017) A key review of building integrated photovoltaic (BIPV) systems. Engineering Science and Technology, An International Journal, 20 (3): 833–858.

Dehghani M, Moosavian SAA, (2015) Dynamics modeling of continuum manipulators by constant‐curvature elements without numerical singularities. Modares Mechanical Engineering, 14 (15): 231‐240. [Persian]

Dong H, Qin B, (2017) Exploring the Link between Neighborhood Environment and Mental Wellbeing:A Case Study in Beijing, China. Landscape and Urban Planning, 164: 71-80. https://doi.org/10.1016/j.landurb-plan.2017.04.005

Ebrahimzadeh I, Ghadermarzi J, (2014) An analysis of housing in urban areas; A solution to improve the quality of life of citizens; Case study: neighborhoods of Dehgolan city. Geography and Development, 13 (40): 156-139.

Firouzeh A, Paik J, (2015) Robogami: a fully integrated low‐ profile robotic origami. Journal of Mechanisms and Robotics, 7 (2): 1‐8.

Heydari O, Zebardast L, Asgarirad F, (2019) Study and evaluation of outdoor advertising in urban spaces (Case study: distance between Enqelab square and Valiasr intersection in Tehran city). Journal of Environmental Science and Technology [Internet], 3 (82): 265-278. https://sid.ir/paper/395825/en

Krimm J, Techen H, Knaack U, (2016) Tuning acoustical facade designs aiming for a controlled influence on the urban soundscape, In Proceedings of the Inter-Noise 2016, 45th International Congress and Exposition on Noise Control Engineering, Hamburg, 2056-2063.

Lindal PJ, Hartig T, (2013) Architectural Variation, Building Height, And the Restorative Quality of Urban Residential Streetscapes. Journal of Environmental Psychology, 33: 26-36. https://doi.org/10.1016/j.jenvp.2012.09.003

Mirheydar Turan B, Ostadi M, Mohamad Niaye Qaraee F, Ehsaee A, (2021) A New Approach to the Analysis of Visual-Perception Illusion on the Spatial Layout of Urban Elements. Geographycal Research [Internet], 36 (4): 142: 407-417.

Nematipour N, Dehghan T, Poshti A, (2021) Origami: Japanese Architecture and its Aesthetic Adaptability with the Western Theorists’,Point of View. KIMIYA YE HONAR [Internet], 10 (38): 43-70. https://sid.ir/paper/1031680/en

Onal CD, Tolley MT, Wood RJ, Rus D, (2015) Origami inspired printed robots. IEEE/ASME Transactions on Mechatronics, 20 (5): 2214‐2221.

Pilehchiha P, (2019) Optimization methods and algorithms in architectural design and urban planning, basic mathematical solutions. Naqsh Jahan, 10 (3): 205-216.

Qin Y, Dai JS, (2013) Four motion branches of an origami based eight bar spatial mechanism. 37^th Mechanisms and Robotics Conference. Portlan, Oregon.

Rahmani A, (2019) Methodological basics and applications of the Delphi method: a narrative review. Journal of Rafsanjan University of Medical Sciences, 19: 515-538.

Rollings KA, Wells NM, Evans GW, Bednarz A, Yang Y, (2017) Housing and Neighborhood Physical Quality: Children’s Mental Health and Motivation. Journal of Environmental Psychology, 50: 17-23.

Sahebsara F, Taghvaeipour A, Ghafarirad H, (2019) Kinematic Modelling of Origami-Inspired Continuum Robotic Arm by Constant-Curvature Elements. Modares Mechanical Engineering [Internet], 19 (11): 2729-2735. https://sid.ir/paper/178359/en

Saghafi MJ, Asadikhalaji M, Pouyande R, (2015) Optimum Slope of Solar collectors in comparison to put in south façade in Tehran. Fine arts, Architecture and urbanism, 44: 57-64.

Salehi M, Hamedi M, Nohouji HS, Arghavani J, (2014) Mechanical properties identification and design optimization of nitinol shape memory alloy microactuators. Smart Materials and Structures, 23 (2): 25-34.

Sardari Y, Moazzami M, Mohammadi M, (2019) The meaning of the exterior appearance of the residential tower; Analyzing the discourse semiotics of tall residential buildings in Tehran. Journal of architecture and urban planning, 27: 5-25.

Vaid U, Evans GW, (2016) Housing Quality and Health: An Evaluation of Slum Rehabilitation in India. Environment and Behavior, 49 (7): 771–790. https://doi.org/10.1177/0013916516667975

Webster RJ, Jones BA, (2010) Design and kinematic modeling of constant curvature continuum robots: a review. The International Journal of Robotics Research, 29 (13): 1661‐1683.

Zarghami E, Ghanbaran A, Karimimoshaver M, SaadatiVaghar P, (2020) Investigating the Visual-Psychological Pollution of Tall Buildings through Fish Eye Images and Citizen's Opinion; Case Study: Pastor and Jahannama Tower in Hamadan. Armanshahr [Internet], 13 (32): 143-159. https://sid.ir/paper/407232/en

Zhang K, Qiu C, Dai JS, (2016) An extensible continuum robot with integrated origami parallel modules. Journal of Mechanisms and Robotics, 8 (3): 031010.

Zhang Z, Zhang J, (2017) Perceived Residential Environment of Neighborhood and Subjective Well-Being among the Elderly in China: A Mediating Role of Sense of Community. Journal of Environmental Psychology, 51: 82-94. https://doi.org/10.1016/j.jenvp.2017.03.004

Zhakypov Z, Paik J, (2018) Design methodology for constructing multilateral origami robots and machines. IEEE Transactions on Robotics, 34 (1): 151‐165.

 

Zaefizadeh, M., Jalili, A., Khayatnezhad, M., Gholamin, R., & Mokhtari, T. (2011). Comparison of multiple linear regressions (MLR) and artificial neural network (ANN) in predicting the yield using its components in the hulless barley. Advances in Environmental Biology, 109-114.