57 research outputs found
Houscaper: Developing a tool for easy access of architectural polygonization using the Boolean Marching Cubes Algorithm
The demand for lower construction costs comes at the price of duplicating architectural designs. As a result, the misperception that modular architecture is repetitive prevails. However, the developments in computational design and MMC (modern methods of construction) can suggest a standardized manufacturing approach to provide mass customization. The research explores the computation of Modular building envelope systems using the Boolean marching cube algorithm under the premise of a ‘participatory generative design framework’ of the 'GO-Design' developed by Pirouz Nourian and Shervin Azadi [1]. In this project, (1) a set of architectural tilesets is developed that incorporates mass-customization by providing the potential for generating various configurations, and (2) a prototype of an interactive digital tool is established to enable future inhabitants to customize the configuration of their modular houses based on the predefined tileset. The algorithm is developed and applied in the Rhino & Grasshopper environment. The BMC algorithm reads the voxels' labels pertaining to each cube's vertices (a collection of 8 neighboring voxels) to load and choose the corresponding tile from a predefined tileset. The project's focus is the design of such a tileset, its engineering consistency, and architectural coherence. As an input, a voxelated massing will be the input, possibly later accompanied by a colored zoning scheme. and the output will be a modular architectural assembly. This workflow is envisaged to become a procedural component of a Configure, Price, & Quote (CPQ) system for the industrialization of mass customizable housing.Architecture, Urbanism and Building Sciences | Building Technolog
The Iranian Protest Song: Sociopolitical Discourse and the Zan Zendegi Azadi Movement
The thesis examines the phenomenon of protest music in contemporary Iran, focusing on the music that emerged in the autumn of 2022 during the peak of the anti-regime protests known by the slogan Zan, zendegi, azadi - Woman, Life, Freedom. The analytical framework of the thesis is based on Critical Discourse Analysis (CDA). Through its two approaches, the Discourse-Historical Approach (DHA) and Multimodal Discourse Analysis (MMDA), the author examines the lyrics of the songs, their musical accompaniment, visual elements (music videos, graphics), and the socio-political and historical context. The work focuses on how protest songs reflect the collective identity and discourse of the protest movement and how they influence it. The analysis of nine popular protest songs is complemented by a case study of a prominent rapper Toomaj Salehi, whose work and activities illustrate the challenges faced by artists and activists in Iran
A computational approach for checking compliance with European view and sunlight exposure criteria
Accepted Author ManuscriptBuilding PhysicsDesign Informatic
Injury Epidemiology and Risk Factors in Female Kabaddi Athletes: Insights from Event PON XXI 2024 for Enhanced Prevention and Management
The purpose of the study. This research examines injury patterns, prevalence, and management in female Kabaddi athletes from North Sumatra during the PON XXI 2024 competition, addressing a gap in sports medicine regarding the physiological challenges faced by women in this contact sport. Kabaddi's lack of research on female athletes contributes to a significant deficit in understanding its physiological impact on women.
Materials and methods. The study utilized a quantitative descriptive design with 22 female national Kabaddi athletes from North Sumatra, employing structured surveys, clinical assessments, and systematic injury documentation for comprehensive athlete health evaluation. The methodology comprised pre-competition medical screenings, post-competition injury documentation, and follow-up on recovery and rehabilitation, utilizing advanced statistical methods including descriptive analysis, frequency distributions, and correlation investigations, with significance testing established at p < 0.05.
Results. Findings indicated a 100% injury rate among participants, highlighting the extreme demands of competitive Kabaddi, with the most common injuries being muscular strains (36.4%), joint sprains (27.3%), contusions (18.2%), and other soft tissue injuries (18.2%). The severity profile revealed 45.5% of injuries were mild (Grade I), 36.4% moderate (Grade II), and 18.2% severe (Grade III), with significant correlations identified between training intensity and injury occurrence (p = 0.015), body composition and injury susceptibility (p = 0.025), and age and injury risk (p = 0.042). Injury distribution showed lower limb injuries at 54.5%, upper limb injuries at 27.3%, and trunk/core injuries at 18.2%, with primary injury mechanisms including direct contact trauma (45.5%), overextension (27.3%), rapid directional change (18.2%), and repetitive stress (9.1%). Rehabilitation outcomes indicated an 86.4% recovery success rate, although a 13.6% recurring injury rate emphasized the need for comprehensive athlete management strategies.
Conclusions. This research challenges prevailing norms in sports medicine by promoting gender-specific injury prevention, personalized management, and thorough monitoring. The study offers crucial insights into the injury patterns of female Kabaddi athletes and advocates for tailored approaches to athlete health and performance. By examining the complex interactions among physiological factors, training demands, and injury mechanisms, the research establishes a comprehensive framework for enhancing athlete care, preventive measures, and long-term sustainability in high-intensity sports
The Iranian Protest Song: Sociopolitical Discourse and the Zan Zendegi Azadi Movement
Diplomová práce zkoumá fenomén protestní hudby v současném Íránu se zaměřením na hudbu vzniklou na podzim roku 2022 při vrcholné fázi protirežimních protestů známých pod heslem Zan, zendegí, ázádí - Žena, život, svoboda. Analytický rámec práce vychází z kritické analýzy diskurzu (CDA). Prostřednictvím jejích dvou proudů, diskurzivně-historického přístupu (DHA) a multimodální analýzy diskurzu (MMDA), autor zkoumá slova písní, jejich hudební doprovod, vizuální prvky (videoklipy, grafiky) a sociopolitický i historický kontext. Práce se zaměřuje na to, jak protestní písně reflektují kolektivní identitu a diskurz protestního hnutí a jak jej ovlivňují. Analýzu devíti populárních protestních písní doplňuje případová studie o významném rapperu Túmádži Sálehím, jehož tvorba a aktivity ilustrují potíže, s jakými se umělci i aktivisté v Íránu potýkají.The thesis examines the phenomenon of protest music in contemporary Iran, focusing on the music that emerged in the autumn of 2022 during the peak of the anti-regime protests known by the slogan Zan, zendegi, azadi - Woman, Life, Freedom. The analytical framework of the thesis is based on Critical Discourse Analysis (CDA). Through its two approaches, the Discourse-Historical Approach (DHA) and Multimodal Discourse Analysis (MMDA), the author examines the lyrics of the songs, their musical accompaniment, visual elements (music videos, graphics), and the socio-political and historical context. The work focuses on how protest songs reflect the collective identity and discourse of the protest movement and how they influence it. The analysis of nine popular protest songs is complemented by a case study of a prominent rapper Toomaj Salehi, whose work and activities illustrate the challenges faced by artists and activists in Iran.Department of Middle Eastern StudiesKatedra Blízkého východuFilozofická fakultaFaculty of Art
Playscapes: An investigation into games as generative interfaces for architecture
This projects aims to understand architectural entities present in Blaak Market, Rotterdam systematically and map their relation to a geometric game. Doing so would enable the inhabitants to voice their concern by play ing an intuitive game. Beside the new approach to participatory design, the methodology adopted in this project has made the design process more accessible for further investigation and reflection on design process and the consequences of decisions
GoDesign: A modular generative design framework for mass-customization and optimization in architectural design
We present a modular generative design framework for design processes in thebuilt environment that provides for the unification of participatory design andoptimization to achieve mass-customization and evidence-based design. Thepaper articulates this framework mathematically as three meta proceduresframing the typical design problems as multi-dimensional, multi-criteria,multi-actor, and multi-value decision-making problems: 1) space-planning, 2)configuring, and 3) shaping; structured as to the abstraction hierarchy of thechain of decisions in design processes. These formulations allow for applyingvarious problem-solving approaches ranging from mathematical derivation &artificial intelligence to gamified play & score mechanisms and grammaticalexploration. The paper presents a general schema of the framework; elaborateson the mathematical formulation of its meta procedures; presents a spectrum ofapproaches for navigating solution spaces; discusses the specifics of spatialsimulations for ex-ante evaluation of design alternatives. The ultimatecontribution of this paper is laying the foundation of comprehensive SpatialDecision Support Systems (SDSS) for built environment design processes. (3) (PDF) GoDesign: A modular generative design framework for mass-customization and optimization in architectural design. Available from: https://www.researchgate.net/publication/353931074_GoDesign_A_modular_generative_design_framework_for_mass-customization_and_optimization_in_architectural_design [accessed Aug 27 2021].Design InformaticsTeachers of Practice / AE+
Deposition of TiN, TiC, and DLC Coatings by PACVD
In this chapter, the author studied about titanium nitride (TiN), titanium carbide (TiC), diamond like carbon (DLC) single and multilayer coatings that utilize in harsh environments. These hard coatings were usually produced by the plasma assisted chemical vapor deposition (PACVD) method as a modern technique. PACVD is used to deposit thin coatings for different usages such as computer disc drives, automobile and aerospace parts, surgical/medical instruments and the food industry. The author tried to delineate the state of the performance of different coating systems and layer characteristics that suitable either for laboratory -scales or industrial applications. Mechanical features of these coatings contain the hardness, the toughness, the wear resistance and structural properties that were perused. Consequently, this chapter offers a source of information for those who want to familiarize with the knowledge in the area of materials science of functional coatings that was produced by new plasma-based technologies. </jats:p
Opto-Geometric Modelling of Complex Urban Landscapes
The injection of renewable energy into the grid requires meticulous planning and execution due to the unpredictable nature of weather and in-turn the energy generated by these sources. Moreover, the inclusion of grid-independent energy generators requires accurate tools to predict energy yield in order to simplify matters such as grid-congestion management. One such tool useful to compute solar energy yield, which is under development, is the PVMD toolbox from the PhotoVoltaic Devices and Materials research group within the Delft University of Technology. This toolbox, which is completely based on MATLAB , allows users to specify parameters ranging from the micro-scale (such as the chemistry and characteristics of a single cell) to the macro-scale (such as the electrical parameters of the whole system).However, in its present version, the toolbox can simulate the yield only forsimple systems, such as a single PV panel without any obstructions present nearby.This makes it incompatible to solve complex problems such as models with solar panels installed in the built environment.Therefore, the primary focus of this thesis is on the optical side of the PV simulation, by enabling the toolbox to precisely compute reflected component of irradiance and include shading effects on modules from nearby objects in the scene. This functionality will help consider the presence of features such as dormers, chimneys and highly reflective surfaces present in urban environments which contribute to solar power output. To achieve this, attention was paid towards the formats and sources of geometric data (3D objects in particular) which could be used as an input in the toolbox. Once the data format was selected, the 3D object is parsed into a MATLAB readable format and refined in order to preserve geometric information.Afterwards, the scene was completed by enumerating the geometric data ofthe solar cells and placing them beside the object or on an external surface of the object. Optical properties were then obtained in the form of spectral reflectance data from NASA’ ECOSTRESS Library and converted into the appropriate format to assign these material properties to the geometries. This Opto-geometric data is then parsed back into a file which can be read by RADIANCE, a visual rendering software capable of backward ray-tracing. This ray-tracing technique is used to obtain the irradiance available for each solar cell at a given time instant.The developed workflow is validated by comparing it with real data stored at the PV Monitoring Station within the TU Delft Campus. For the given data-set, the mean percentage error is computed to be 1.89% , with a standard deviation of 12.49%. This proves that the proposed workflow is suitable to visualise shading performance and the effect of reflected irradiance. This model can be further improved by considering parameters such as spectrally responsive albedo and inclusion of other geometry formats. The outputs from this project can also be used as inputs to compute the spectral absorptance of different layers within a solar cell, such as tandem solar cells or develop sensitivity maps for different modules present in the scene.PVMD ToolboxElectrical Engineering | Sustainable Energy Technolog
Generative Solar-Climatic Configuration: A model for feed-forward optimization of building envelopes as to solar energy potential
The typical solar energy potential simulation workflows used in the AEC industry require an abundance of information regarding the detailed geometry and materialization of the design. These requisites render them incompatible with early-stage design decision-making pertaining to form-finding. By performing solar energy potential simulations at the pre-conceptual design phase, the necessary time for later-stage environmental assessments and design improvements is reduced considerably, while building designs with high performance but low environmental footprint are attained.This research proposes a computational framework to navigate voxel-based morphologies of building envelopes in a performative design space. It investigates a generative workflow through an embedded multi-criteria optimization of solar-related indicators, which are mapped in a solar energy potential field. The formulation of this field consists of an a priori assessment of the solar energy potential in every discrete volumetric unit (voxel) and a vectorized description of the interdependency of them. The astronomical size of this solution space renders the use of metaheuristic methods more appropriate. More specifically, a subtractive strategy that incorporates an MCDA approach is being applied in order to reach user-defined optimization targets. The novelty and potential of the proposed methodology lies in streamlining the early decision making process for designers and architects and expanding the morphological possibilities. Through this framework, the performative design space is effectively navigated and nearly optimal solutions are generated, to act as suggestive mechanisms for informed architectural decisions.<br/
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