Architecture Design Methodology Research Articles

Using Generative AI Midjourney to Enhance Divergent and Convergent Thinking in an Architect’s Creative Design Process

Architects use a range of tools, from the traditional pencil to Virtual Reality technologies to prototype and articulate their creative designs. In recent years, Generative Artificial Intelligence (GenAI) software has reached the mainstream and there is an exponential appearance of GenAI images that portray architectural designs. This article documents an architectural design methodology that uses Midjourney, a text-to-image GenAI software, as a design tool that enhances architects’ creativity. Prompted by a design brief, we used Midjourney to accelerate (1) the identification and refinement process of developing a prospective user and (2) the ideation process of creating different desirable spaces for the designed user.

Encoded Landscapes: A Link between Inka Wall Orientations and Andean Geomorphology

While some Inka structures and motifs align with astronomical and horizon markers, a significant portion of their constructions exhibit different patterns. We examined the potential correlation between the orientation patterns of the Inka walls and Andean geomorphology, aiming to uncover the extent to which the physical landscape guided these ancient architectural design methodologies. Using geospatial technology and specially developed peak detection and recognition software, we extensively and meticulously analyzed over 40,000 m of surveyed Inka walls and 20,000 mountain peaks across 11 distinct geographical areas. The analysis revealed a significant correlation between key wall orientations and the parallel peak alignment of the Andean Mountain Range. This suggests a purposeful encoding of landscape orientations into Inka architecture. These findings propose a novel perspective on the intricate relationship between Inka culture and the Andean highlands’ topography. Furthermore, this research introduces a distinctive methodological approach to exploring the impact of natural landscapes on architectural planning, establishing a foundation for comparative studies among other ancient civilizations.

Optimized Distance-Based Algorithm for Cloud Space—Tourist Route Recommendation for Heritage Town, Pondicherry, India

Architecture, often regarded as a three-dimensional art form, relies on a multitude of abstractions during the design process. In this context, architectural elements are effectively represented through vector-based data processing techniques, offering a canvas for creative exploration. To further our understanding of spatial configurations and generate multiple design insights, mathematical structures known as graphs come into play. Graph theory, a fundamental component of this process, it is a mathematical field that studies relationships and connections between objects using vertices and edges, finding applications in computer science, network analysis, and more finds application in architectural design. This study delves into the application of graph theory in the analytical exploration of urban networks, with a focus on tourism parameters in the picturesque town of Pondicherry, Tamil Nadu, India. Traditionally, urban network analysis seeks to determine the shortest distance between origin and destination, a metric rooted in accessibility. However, in leisure destinations, a novel approach involving an optimized distance-based algorithm is introduced. This innovative methodology aims to facilitate efficient access to all tourist destinations within the spatial extent while minimizing discrete physical distances. To illustrate this concept, we take the iconic French Quarters in the White Town of Pondicherry as a case study. By applying the optimized distance-based algorithm, we endeavor to uncover the most efficient route for tourists to navigate and leisurely explore the area. The outcome of this analysis reveals a path graph structure, which, when compared to a circular graph structure, demonstrates superior efficiency in guiding tourists through the space. The implications of this tourist route extend beyond the realm of tourism itself. It has the potential to enhance the organization of tourist activities, allowing stakeholders to manage and regulate the flow of visitors. Additionally, it presents an opportunity to promote and develop the region’s often-underestimated tourist destinations, which can, in turn, have a positive impact on the local economy. In summary, the integration of graph theory into architectural and urban design methodologies enriches the approach to tourism and offers a holistic perspective on spatial optimization.

AI system architecture design methodology based on IMO (Input-AI Model-Output) structure for successful AI adoption in organizations

With the advancement of AI technology, the successful AI adoption in organizations has become a top priority in modern society. However, many organizations still struggle to articulate the necessary AI, and AI experts have difficulties understanding the problems faced by these organizations. This knowledge gap makes it difficult for organizations to identify the technical requirements, such as necessary data and algorithms, for adopting AI. To overcome this problem, we propose a new AI system architecture design methodology based on the IMO (Input-AI Model-Output) structure. The IMO structure enables effective identification of the technical requirements necessary to develop real AI models. While previous research has identified the importance and challenges of technical requirements, such as data and AI algorithms, for AI adoption, there has been little research on methodology to concretize them. Our methodology is composed of three stages: problem definition, system AI solution, and AI technical solution to design the AI technology and requirements that organizations need at a system level. The effectiveness of our methodology is demonstrated through a case study, logical comparative analysis with other studies, and experts reviews, which demonstrate that our methodology can support successful AI adoption to organizations.

Perancangan Arsitektur Teknologi Informasi di Dinas KOMINFO Kabupaten Semarang Menggunakan Enterprise Architecture Planning

Department of communication and Information Technology (KOMINFO) Semarang requires the design of appropriate information technology architecture in order to perform its function as a government institution that is able to provide excellent service to the community. Therefore, the application of Enterprise Architecture Planning (EAP) as an Information Technology Architecture Design methodology was chosen to make it easier to design the right information technology architecture.This study aims to design the architecture of Information Technology in the Department of communication and information Semarang using EAP methodology. The research methodology used in the form of literature studies and direct observation in the field to collect information about infrastructure, applications, and data available at the Semarang district communication and Information Office.The results of this study are several implementation plans that need to be done, such as hardware and software updates,human resources training,Local Government Application Development, Local Government Network Development, E Office and Website Development. Each domain has components that are interrelated and grouped into subdomains, making it easier to manage. The design of this information technology architecture can help the Semarang district communication and Information Office in improving the current information system and improving its performance in providing services to the community.

High Performance Software Architectures for Remote High-Speed Data Acquisition

There are various tools for real-time data acquisition and analysis of high-frequency signals. Usually, the tools for data acquisition and analysis are incompatible with each other, expensive, or require the utilization of various technologies. Designing a unique toolset for real-time data acquisition and analysis of high-frequency signals presents a large challenge, both in terms of hardware and software design. Some of the main challenges include fulfilling strict real-time performance requirements, using cost-effective hardware components, and designing a software architecture with minimal software latency for data sampling on an embedded platform and data analysis on a PC machine. This paper presents a software architecture design methodology for embedded platforms, including an RTOS and an Ethernet interface, along with the application architecture on the host side. To demonstrate the advantages of the proposed methodology, a prototype consisting of the STM32H747 microcontroller, FreeRTOS operating system, and a GUI application based on the Qt framework has been created. It has been shown that using the proposed architecture design methodology makes it possible to preserve the maximal hardware sampling rate utilizing a 100 Mbps Ethernet link. In the experiments, sampling rates up to 4.57 MSps for 10-bit resolution and real-time transfer of data over Ethernet link and visualization on host PC have been achieved with this specific MCU.

Influence of space properties of enclosed patio on thermal performance in hot-humid areas of China

Patio plays an important role in climate adaptation and microclimate adjustment of buildings. This study aims to explore enclosed patio design guidelines, which are essential for both architectural design methodology and practical projects for providing better thermally comfortable indoor and outdoor spaces. A combined qualitative and quantitative methodological approach was used to clarify how the passive design strategies of the enclosed patio affect the thermal environment of houses around the patio. The findings reveal the spacial characteristics and thermal adjustment of enclosed patios. The results of simulation indicate that appropriate design parameters of enclosed patio can achieve a better indoor and outdoor thermal comfort environment for its users, which includes similar dimension in width and depth, increased number of windows in a high ratio of width to depth, semi-open auxiliary space, 3-4 floor height, upper-lower double windows of four-sided enclosed patio and south opening direction of three-sided enclosed patio.

Graphene-based area efficient power planning architecture design methodology for nanomagnetic logic implementation

Graphene-based area efficient power planning architecture design methodology for nanomagnetic logic implementation

Implementation of Sustainable Agrotourism for Food Crops Planning in Agricultural Land

Agricultural land for food crops is a pillar of the economy in an area to increase local revenue, besides that, it is also a source of food crops for the local area. In maintaining agricultural land so that land conversion does not occur, one of the efforts that can be done is through food crops as sustainable agro-tourism. The research location is in the Anja neighborhood, Tawaeli District, Palu City. The purpose of this research is to make the concept and design of agricultural land for food crops to become a sustainable agro-tourism area through architectural design methods. The research method used is the planning and architectural design methodology through a dimensional approach to a comprehensive approach. This is based on the fact that this research interacts thoroughly with many aspects related to the concept and design of agricultural land for food crops as a sustainable agro-tourism area. Based on the analysis of the potential of the area, the results showed that the location of agricultural land for food crops in the Anja neighborhood has a strong attraction as agro-tourism, besides the Anja neighborhood location is very strategic. The facilities and infrastructure owned by agricultural land in the Anja neighborhood can also be maintained in several agro-tourism facilities

APPLICATION OF IMMERSIVE TECHNOLOGIES IN THE EARLY DESIGN STAGE IN ARCHITECTURE EDUCATION - A SYSTEMATIC REVIEW

This paper reviews existing research on the use of immersive technologies, Virtual Reality in particular, in various stages of the architectural design process. Nine research papers were systematically reviewed and analyzed. They were filtered down by using the keywords: ‘Virtual/Augmented Reality, Architectural Education, Gravity Sketch, Unity and Virtual Environments’ from two main databases that focus on digital and computer-aided design research: Cumulative Index about publications in Computer Aided Architectural Design (CuminCAD) and Elsevier's abstract and citation database (Scopus). The selection of papers was filtered down based on relevant approaches which investigate architectural design, creative thinking and teaching methodology using immersive technologies. Another criterion applied to the filtering process of the research papers is the exploration and integration process of new tools and overlapping external software to aid the existing workflow of the user. Our findings explore the evolution of immersive tools to highlight the advantages and disadvantages of virtual reality-based software and hardware, as a creative development tool in the field of education and practice. This paper also proposes a novel teaching methodology that incorporates immersive technologies in the early design phase of architectural education.

Prediction of Oil Sorption Capacity on Carbonized Mixtures of Shungite Using Artificial Neural Networks

Using the mixture of carbonized rice husk and shungite from the Kazakhstan Koksu deposit and the experimentally determined oil sorption capacity from contaminated soil with oil originating in the Karazhanbas oil field, a set of Artificial Neural Network (ANN) models were built for sorption predictions. The ANN architecture design, training, validation and testing methodology were performed, and the sorption capacity prediction was evaluated. The ANN models were successfully trained for capturing the sorption capacity dependence on time and on a carbonized rice husk and shungite mixture ratio for the 10% and 15% oil-contaminated soil. The best trained ANNs revealed a very good prediction capability for the testing data subset, demonstrated by the high coefficient of the determination values of R2 = 0.998 and R2 = 0.981 and the mean absolute percentage errors ranging from 1.60% to 3.16%. Furthermore, the ANN sorption models proved their interpolation ability and utility for predicting the sorption capacity for any time moments in the investigated time interval of 60 days and for new values of the shungite and rice husk mixture ratios. The ANN developed models open opportunities for planning new experiments, maximizing the sorption performance and for the design of dedicated equipment.

Skyrmion based 3D low complex runtime reconfigurable architecture design methodology of universal logic gate

In this study, we introduce the area efficient low complex runtime reconfigurable architecture design methodology based on Skyrmion logic for universal logic gate (ULG) i.e. NOR/NAND implementation using micromagnetic simulations. We have modelled the two input 3D device structure using bilayer ferromagnet/heavy metal where the magnetic tunnel junctions inject and detect the input and output skyrmions by exploiting the input reversal mechanism. The implementation of NOR and NAND is performed using this same device where it is reconfigured runtime with enhanced tunability by the ON and OFF state of current passing through a non magnetic metallic gate respectively. This gate acts as a barrier for skyrmion motion (additional control mechanism) to realize the required Skyrmion logic output states. To the best of authors’s knowledge the boolean optimizations and the mapping logic have been presented for the first time to demonstrate the functionalities of the NOR/NAND implementation. This proposed architecture design methodology of ULG leads to reduced device footprint with regard to the number of thin film structures proposed, low complexity in terms of fabrication and also providing runtime reconfigurability to reduce the number of physical designs to achieve all truth table entries (∼75% device footprint reduction). The proposed 3D ULG architecture design benefits from the miniaturization resulting in opening up a new perspective for magneto-logic devices.

Using Sustainable Tectonics to Create a Long-lasting Architectural Framework with Artistic Dimensions and Expressive Design

Throughout history, architecture has changed to reflect the increasing expressive capacities of ideas, elements, and structural systems as a result of this development, explains the development of structural systems as a result of the accumulation of construction and architectural experiences, and thus how structural thought transforms from a purely functional perspective. Structural tectonic to generate closed or semi-closed architectural spaces fulfills functional requirements and achieves structural and aesthetic conditions without sacrificing the role of shaping architecture and structural cohesiveness. The goal of the research is to investigate new architectural design methodologies emerging from the combination of tectonic systems and sustainable architecture to better understand tectonic architecture patterns in both traditional and digital forms. Tectonics organizes the analytical criteria for analyzing the constituent layers of architecture's formal structure in both designs and practice. By analyzing the theoretical and practical aspects and developing a clear mechanism to achieve a distinctive expressive sustainable architecture by integrating traditional tectonic factors in traditional sustainable practices and digital tectonic factors in technical sustainability, the study provides a conceptual framework under the theme of Sustainable Tectonics to define the formal structure of sustainable designs, traits, and layers detectable in sustainable architectural design. The study looked at key analytical features that may be utilized to analyze the underlying assumptions systematically. The analytical technique is a research strategy.

Artificial intelligence-designer for high-rise building sketches with user preferences

Architectural design is a highly intellectual creative work. It is so interesting and fascinating to explore artificial intelligence (AI)-based architectural design methodology, i.e. exploring the creativity of machines from a design perspective. Conceptual design, which gives a sketch of a building satisfying certain constraints, requires very high creativity and is an important step in the architectural design process. This study proposes a novel AI-based design method of high-rise building sketches with user preferences (termed AI-designer), where AI-designer can control the sketch generation in two aspects: shape preferences and architectural fusion. To achieve these two functions, the AI-based design method contains the shape preference module with Self-Sparse GAN and architecture fusion module. The proposed shape preference module with Self-Sparse GAN enables the user to specify the shape of the building sketch by a simple hand-drawn sketch, where the Self-Similarity score (SS-score) is proposed to obtain the degree of similarity of shapes for selecting a specified number of sketches generated by the Self-Sparse GAN. Meanwhile, the architecture fusion module allows to implement user-preference elements (such as artistic style and local culture) with the generated sketches for further forming a clearer architectural fusion sketch by using the line loss with a feature-based attention mechanism. The design results show that the proposed AI-designer can not only generate a large number of desired architectural sketches with a specific theme while remaining diversity in just a few seconds, but also form clearer sketches with architectural fusion by re-rendering using user-specified elements.

THE REL THE RELATIONSHIP BE TIONSHIP BETWEEN SCHOOL ARCHI WEEN SCHOOL ARCHITECTURE AND TURE AND SELF-EFFICA SELF-EFFICACY OF STUDEN CY OF STUDENTS WI TH SPECI TH SPECIAL NEEDS IN SOME AL NEEDS IN SOME SCHOOLS IN LEBANON - THE RECIPROCAL ARCHITECTURAL DESIGN METHOD

This study sought to develop a new architectural design methodology for educational facilities. The design factors of inclusive schools built environment affect the self-efficacy of students with special needs. Self-efficacy being defined by Albert Bandura as one's belief in one's ability to succeed completing specific tasks in a certain environmental action. This research is conducted by following the sequential explanatory research design, surveyed by a mixed method. Participants were a group of 35 special education teachers and 25 students with special needs, conveniently selected from some schools in Lebanon. The two questionnaires and the individual interviews administered by the researcher formed the outcome of the study. Findings ascertain the importance of suitable school architecture, for the sake of increasing the self-efficacy of students with special needs in order to enhance special education standards in Lebanese schools. The Reciprocal Method is a new deterministic design framework in architecture that seeks for innovative design in educational facilities in direction of universal standards.

Apparent Destruction Architectural Design for the Sustainability of Building Skins

Technical durability and aesthetical longevity of building skins are among the fundamental demands of sustainable architecture in terms of building fabric’s physical changes due to deterioration. This concept paper presents a design concept intended to fill the existing gap related to the limited durability of buildings and non-existing design methods for its effective extension. The study concentrates on the anticipation and assimilation of disintegration processes occurring in time into the architectural design methodology to promote the design techniques focused on the visual expression of the coexistence of nature and the artificial in the function of time. This study investigates the building’s enclosure as an active boundary through which the building’s interaction with the natural environment occurs, as well as a regulator of the building’s energy performance and a factor conditioning their durability. The consideration of formal and esthetical deconstruction in architectural design is followed by the analyses of some relevant examples of completed buildings and cultural determinants underlying this issue. The proposed Apparent Destruction Architectural Design (ADAD) concept addresses the time-dependency of the building skins’ physical properties manifested by the deterioration, destruction and re-figuration of the building’s fabric. This design concept offers a solution to the disturbing problem of architecture’s impermanence enhances the issue of sustainability of the building’s fabric in time, becomes a means to search for the unconventional comprehension and vision of architecture, as well as to reframe the architectural design toward its compliance with sustainability postulates through the aesthetic concept.

Architectural and Landscape Garden Planning Integrated with Artificial Intelligence Parametric Analysis

Parametric design, driven by digital technology, has sparked extensive research and debate in the domains of architecture and urban planning, offering a new approach to issue solving. Architecture and landscape architecture, like architecture and urban planning, are disciplines that are part of the artificial environment. Architectural landscape design has begun to be influenced by parametric design. This study presents a more technical parametric design technique of architectural landscape design that involves artificial intelligence parametric analysis and proposes an architectural landscape planning and design method that incorporates artificial intelligence (AI) parametric analysis. This is a new discipline of concurrent design that complements and expands architectural landscape design methodologies and is based on artificial intelligence methods. This study integrates artificial intelligence parametric design theory and methodology into architectural landscape design and presents a parametric method appropriate for landscape architecture design based on architectural landscape architecture characteristics.

Architectural Design Methodology Between Human Needs and Designer's Own Capabilities. (Dept. A)

Architectural Design Methodology Between Human Needs and Designer's Own Capabilities. (Dept. A)

Performance-driven design methodology for habitation shell design in extreme conditions on Mars

The research project illustrates how performance-driven design tools can be conducted as an architectural design methodology that suggests an innovative approach to design a habitation shell in extreme environmental conditions without human assistance. This research study attempts to use environmental data revealed by NASA and its habitat design requirements to develop a conceptual design for an innovative habitation form and then simulate it with Mars conditions to analyze the habitation shell's structural behavior according to finite element analysis. In this regard, research phases, including layout configuration, form-finding, and structural analysis, have been conducted to explore a habitation concept implemented with generative design tools as a decision-maker in extreme conditions. In conclusion, two generated typologies of proposed habitation forms will be compared in terms of their structural performance under extreme loads of the martian environment. Within this research project, due to the numerous extreme challenges of design and construction of habitation in extreme conditions using conventional approaches, a performance-driven design methodology will provide a rational and sustainable design methodology to tackle extreme barriers to Mars's environment.

Computational design of microarchitected porous electrodes for redox flow batteries

Porous flow-through electrodes are used as the core reactive component across electrochemical technologies. Controlling the fluid flow, species transport, and reactive environment is critical to attaining high performance. However, conventional electrode materials like felts and papers provide few opportunities for precise engineering of the electrode and its microstructure. To address these limitations, architected electrodes composed of unit cells with spatially varying geometry determined via computational optimization are proposed. Resolved simulation is employed to develop a homogenized description of the constituent unit cells. These effective properties serve as inputs to a continuum model for the electrode when used in the negative half cell of a vanadium redox flow battery. Porosity distributions minimizing power loss are then determined via computational design optimization to generate architected porosity electrodes. The architected electrodes are compared to bulk, uniform porosity electrodes and found to lead to increased power efficiency across operating flow rates and currents. The design methodology is further used to generate a scaled-up electrode with comparable power efficiency to the bench-scale systems. The variable porosity architecture and computational design methodology presented here thus offers a novel pathway for automatically generating spatially engineered electrode structures with improved power performance.