Architectural Design Model Research Articles

How water circularity can help to reduce and regulate water waste in urban districts

Abstract Global water consumption has increased sixfold in the past 100 years and is growing at about 1% per year due to population growth, economic development, and changing consumption patterns; therefore, climate change, combined with urbanization and population growth, is causing water availability problems in cities around the world. Rethinking circular cities that put water at the centre of their priorities and that manage it cyclically and keep it within the urban environment as much as possible to maximize its value must become the fundamental goal. However, to date, cities are not even close to maximizing the use of water that reaches their buildings. As a result, two main issues have emerged as crucial in the international debate: the scarcity of water resources due to its wastefulness and overuse, and extreme weather events, such as heavy rains alternating with periods of prolonged drought, a consequence of global warming. In response to these issues, this research aims to investigate the potential of a design approach that takes into account the two phenomena of water excess and shortage, integrating water from the earliest decision-making stages of building design. Starting from the definition of architectural strategies, replicable solutions are defined and evaluated against specific KPIs to develop a resilient and climate-neutral architectural and urban design model.

Experimental Infrastructure Design for Energy-Independent Car Park Building Based on Parametric Photovoltaic Facade System

The purpose of this study is to develop a new architectural model that responds to environmental pollution. The subject of this study is infrastructure buildings related to automobiles, which cause environmental pollution. Parking facilities accommodate several vehicles, necessitating the design of large-scale parking infrastructure. In this study, the parametric design of an energy-independent building was developed targeting the facade of a large-scale parking facility. As basic research for the development of the parametric design, a parking building was planned toward the optimization of parking space. Based on this basic research, a kinetic photovoltaic facade was developed to achieve optimal renewable energy generation from the perspective of eco-friendly architectural design. Energy simulation using building information modeling (BIM) on the kinetic photovoltaic system developed in this study over a period of one year resulted in the generation of a total of 692,386 kWh·year−1. The novelty of this study is the development of a kinetic photovoltaic facade that is oriented according to the optimal tilt angle every month, focusing on the infrastructure. The significance of the kinetic photovoltaic system lies in the fact that it not only maximizes the efficiency of renewable energy generation but also presents a new architectural design model.

A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering

Maintenance is one of the costliest phases in the software development process. If architectural design models are accessible, software maintenance can be made more straightforward. When the software’s source code is the only available resource, comprehending the program profoundly impacts the costs associated with software maintenance. The primary objective of comprehending the source code is extracting information used during the software maintenance phase. Generating a structural model based on the program source code is an effective way of reducing overall software maintenance costs. Software module clustering is considered a tremendous reverse engineering technique for constructing structural design models from the program source code. The main objectives of clustering modules are to reduce the quantity of connections between clusters, increase connections within clusters, and improve the quality of clustering. Finding the perfect clustering model is considered an NP-complete problem, and many previous approaches had significant issues in addressing this problem, such as low success rates, instability, and poor modularization quality. This paper applied the horse herd optimization algorithm, a distinctive population-based and discrete metaheuristic technique, in clustering software modules. The proposed method’s effectiveness in addressing the module clustering problem was examined by ten real-world standard software test benchmarks. Based on the experimental data, the quality of the clustered models produced is approximately 3.219, with a standard deviation of 0.0718 across the ten benchmarks. The proposed method surpasses former methods in convergence, modularization quality, and result stability. Furthermore, the experimental results demonstrate the versatility of this approach in effectively addressing various real-world discrete optimization challenges.

RETRACTED: An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation

Over the last two decades, Internet of Things (IoT) networks have grown exponentially. Although the devices have relatively low memory, resource, and processing capability, the trend is that nodes generate a large volume of data. That is where cloud technology comes into play to provide storage space. Because of its centralized nature and robustness, a large network operating with cloud assistance may be vulnerable. Due to rigid access control policies, the devices may be vulnerable to malicious activity. On the other hand, cloud technology provides a platform for such a security system to operate. A centralized secure architecture fails to consider mobile and edge devices within the context of these criteria. This raises numerous concerns about trusting third-party cloud intermediaries, which cause security and privacy leaks. The goal of this research is to look into the problem of blockchain consensus algorithms and their applicability in IoT with cloud-native infrastructure in the Ethereum and MultiChain variants. The significant challenge is scaling the core layer without sacrificing decentralization, security, or public verifiability. This type of testbed is used to investigate the impact of architectural design and consensus models in a lightweight IoT environment. Consensus in each IoT transaction remains the most important aspect of blockchain-enabled IoT networks. When the ledger is updated without privacy protection, transaction-oriented breaches can occur. Current practices for integrating finite IoT network resources into infrastructure-oriented blockchain implementations are flawed due to they are willing to sacrifice data security and integrity in order to save time and energy. This encourages researchers to investigate an improved lightweight block verification approach to the blockchain functional framework, that decreases processing needs, network latency, and network overhead substantially. As a result, the layer-3 consensus promotes blockchain to include the block with a 35% improvement in base layer block time efficiency and a 56% increase in throughput.

Transpiler-Based Architecture Design Model for Back-End Layers in Software Development

The utilization of software architectures and designs is widespread in software development, offering conceptual frameworks to address recurring challenges. A transpiler is a tool that automatically converts source code from one high-level programming language to another, ensuring algorithmic equivalence. This study introduces an innovative software architecture design model that integrates transpilers into the back-end layer, enabling the automatic transformation of business logic and back-end components from a single source code (the coding artifact) into diverse equivalent versions using distinct programming languages (the automatically produced code). This work encompasses both abstract and detailed design aspects, covering the proposal, automated processes, layered design, development environment, nest implementations, and cross-cutting components. In addition, it defines the main target audiences, discusses pros and cons, examines their relationships with prevalent design paradigms, addresses considerations about compatibility and debugging, and emphasizes the pivotal role of the transpiler. An empirical experiment involving the practical application of this model was conducted by implementing a collaborative to-do list application. This paper comprehensively outlines the relevant methodological approach, strategic planning, precise execution, observed outcomes, and insightful reflections while underscoring the the model’s pragmatic viability and highlighting its relevance across various software development contexts. Our contribution aims to enrich the field of software architecture design by introducing a new way of designing multi-programming-language software.

Multi-objective Evolutionary Algorithm Supported Construction of Architectural Window Design Model Based on Visual Comfort - A Case Study of Office Buildings in Cold Regions

Abstract With the accelerated advancement of big data Internet development, people gradually realize the urgency and importance of energy saving, so the multi-objective optimization research for the performance of office buildings in cold regions is significant, and this paper focuses on the construction of a building window design model based on visual comfort supported by multi-objective evolutionary algorithm- taking office buildings in cold regions as an example, firstly, by reviewing the literature to understand the principle, algorithm, and concept of multi-objective evolution, construct the building window design model based on visual comfort according to the objective function and extract the standard model of inner corridor slab space building in office buildings in cold regions of Harbin and Shenyang. The optimized design of building window parameters was carried out using the established joint simulation and optimization work platform. The results show that for Harbin, as the window heat transfer coefficient increases, the heating energy consumption increases, the cooling energy consumption increases more slowly, and the total energy consumption increases linearly. An increase in window heat transfer coefficient by 0.1W/ (m 2 ∙K) Increases are cooling energy consumption by 0.18%, heating energy consumption by 0.78%, and total energy consumption by 0.46%. For Shenyang, as the window heat transfer coefficient increases, the heating energy consumption increases, the cooling energy consumption increases more slowly, and the total energy consumption increases linearly. If the heat transfer coefficient of the window increases by 0.1W/ (m 2 ∙K), cooling energy consumption increases by 0.18%, heating energy consumption increases by 0.78%, and total energy consumption increases by 0.46%. This study provides a theoretical basis for extracting standard models for other building types while making the results more generalizable and improving the efficiency of sustainable office building design.

Intelligent initial model and case design analysis of smart factory for shipyard in China

At present, due to the lack of core technology and technological innovation ability, the design technology of traditional shipyards in China is backward. The operation mode of front-line workers in shipyards is highly dangerous. There are problems that endanger the physical and mental health of workers, such as noise and paint mist pollution, which lead to low production efficiency of workers and difficulties in personnel allocation. Under this background, “shipyard labor shortage” and other similar situations followed. If the concept of smart factory is introduced into traditional shipyards, the above problems can be effectively alleviated and solved. However, due to the complexity of ship product structure processing and manufacturing, the definition of smart shipyard in China is still vague, and the research process of smart shipyard is relatively slow. Aiming at the vague functional concept of smart shipyard, the lack of research on information design and management, smart production process and smart implementation process, this paper provides a conceptual architecture design model of civil smart shipbuilding factory. The functional definition of smart shipyard is discussed, and the initial conceptual model of smart shipyard is established, including information network platform model, smart production process model and smart implementation process model. The application case verifies the above model. Firstly, the information network platform model of α group is constructed, and the group brain control system is established. Secondly, the smart production process of shipyard A under α group is established. Finally, the smart implementation process of shipyard A is designed. The case study shows that: All ships completed 100% modeling, and the pre-outfitting rate increased to about 95%. By using the wire cutting robot, the production efficiency is increased by 70%. In the smart factory mode, the 60,000 tons bulk carrier can save 35thousand dollars labor costs and 11 million dollars in shipping fuel costs each year. The shell steel plate of the 300,000 tons ore carrier is reduced by 212 tons, and the weight is reduced by 10.5%. Case shipyard A under α group using the above smart factory model can save about 0.7 million dollars labor costs per year; reduce fuel costs by about 2.2 million dollars per year; saving 2.5 million steel usage per year. In total, shipyard A reduced expenditure by about 5.4 million dollars in one year.

Application of renewable energy decorative materials in modern architectural design under low-carbon concept

Abstract The construction industry is booming, but construction projects will consume much non-renewable energy and cause environmental pollution. In response to this problem, this article establishes a low-carbon architectural design model and discusses the application of renewable energy decorative materials in modern architectural design in detail. Previous studies have shown that renewable energy decorative materials are widely used in ventilation design, thermal insulation design, interior design and lighting design, and the weights of carbon emissions in the use stage are 20%, 46%, 29% and 33%, respectively. In 2021, the usage weights of renewable energy decorative materials in ventilation design, thermal insulation design, interior design and lighting design will be 70%, 72%, 80% and 70%, respectively, far exceeding the usage of traditional materials.

Architecture design for civil aircraft hydraulic system

The hydraulic system is a highly complex system for civil aircraft. System Engineering is a method to solve complex and comprehensive problems. To reduce the development risk, this paper establishes a hydraulic system architecture design model based on system engineering using system ideas and analysis methods. With this model, several aspects of hydraulic system architecture design are discussed, including input, requirements analysis, functional analysis, system synthesis, and system balance.

Design of fitness walker for the elderly based on ergonomic SAPAD model

Abstract Against the social background of the gradual transformation of the social pension mode and the arrival of the ageing age, the tool design of fitness walkers for the elderly was studied. In this paper, the physiological and psychological status of the elderly with mild or moderate stroke or unable to exercise due to the decline of physical function was analysed. In addition, the corresponding elderly fitness walker product market research was studied. Aiming at these problems, this paper proposes a set of elderly fitness walker frames based on the ergonomic semiotic approach of the product architecture design (SAPAD) model. First, the development and structure of artificial engineering is introduced in detail. Then the framework of walking aid for the elderly based on the SAPAD model is proposed, and the SAPAS model and walking aid for the elderly are introduced, respectively, along with the framework of simulation design and application. The experimental results show that the framework of elderly fitness walker based on the ergonomic SAPAD model can be implemented. It can be applied to the elderly’s fitness assistance. A fitness walker can be suitable for the elderly who want to continue to exercise; it also hopes to care for the elderly who need to exercise from the perspective of the product.

New possibilities of living together in post-humanist society: Interior and furniture design for pets

With their various physical differences, pets have to live with their owners in interiors, which is designed according to human scale. On the other hand, human-specific anthropometric measurements, which are the basic parameters in space design, are not sufficient to provide ergonomics in indoor spaces, which are also living spaces for pets. The hypothesis of this study, in which current examples of interior and furniture designs suitable for the physical needs of pets, whose numbers are increasing day by day, are discussed with an inclusive approach in interior architecture; It has been determined as 'when the interiors where pets live are redesigned according to the characteristics of the animals, ergonomics is provided for 'all living things' in the common living areas. The subject of common living space in the literature; Although it has been investigated in interdisciplinary fields such as cognitive psychology, zoology, and architecture on topics such as biodiversity, sustainability, animal welfare, and animal behavior, the subject of 'space organization of shared living spaces shared with domestic animals' as a new approach in the field of interior architecture has not been sufficiently discussed. For this reason, the research is a pioneering and descriptive study in terms of drawing attention to current practices in terms of conceptual infrastructure, architectural design, space organization, application examples and experimental models, making a systematic review of existing studies on the subject, and identifying new trends in the field of interior architecture. The aim of the research is to expand the interior design, which is a multidimensional subject, to include spaces designed for living with pets, in particular the arrangement of common living spaces. Since subjects such as interior design, interior architecture, and design have a wide field of research, the scope of the study is limited to the specific space and furniture designs designed for pets in terms of ease of research. In the descriptive study, the survey model, one of the quantitative research methods, was preferred as a research method to review the existing status of the researches in the field of design within the existing sample applications. As a result of the study, it has been understood that the 'interior and furniture design for pets' approach is a design approach that is open to development, is an inclusive application in the interior and has a high potential to be preferred.

Improvements for pedestrian safety application P-Minder

P-Minder is a lightweight sidewalk segmentation and obstacle detection-based approach designed for phubbers’ safety, which can help phubbers to avoid obstacles and other dangers during phubbing walking. But two issues have been found in previous experiments: P-Minder undifferentiated scores the recognition results and costs high resource occupation during background operation. Therefore, this paper proposes the sector correlation model to classify the recognition and segmentation results for an accurate judgment. Then, the new application architecture design and walking detection model decrease the resource occupation. Besides, the datasets are expanded, and the models are retrained to adapt to the improved architecture. In the same datasets, P-Minder achieves a 1.7 percentage point accuracy improvement during the experiment. The experimental result proves that the segmentation model can reach 81.2% mean intersection over union. Besides, the method finally achieves 75.52% detection accuracy in the experiment with a low computing resources cost.

(Retracted) Inspection of unmanned aerial vehicles in oil and gas industry: critical analysis of platforms, sensors, networking architecture, and path planning

The rapid growth of unmanned aerial vehicles (UAVs) has huge potential in the oil and gas industry (OGI). These are especially helpful in situations in which human lives are at risk. OGI pipelines are threatened by natural and man-made disasters, which are harmful to both people and assets. Usually, oil and gas pipelines pass through extreme environments for which standard inspection, maintenance, and repairing approaches such as rope access, scaffolds, telescopic elevation platforms supported by cranes, and manned helicopters are not secure and difficult and expensive to implement. However, technological advancements like device miniaturization have boosted the performance of UAVs, offering cost-effective, efficient, and high mission flexibility. UAVs are capable of carrying sensors and cameras to perform monitoring. As pipelines span thousands of kilometers, multi-UAV systems, commonly referred to as flying ad-hoc networks (FANETs), can collaboratively complete monitoring missions more effectively and economically as compared with single UAV systems. Moreover, many issues must be resolved before the effective use of UAVs can provide stable and reliable context-specific networks. Several OGI-specific issues of UAVs such as architecture design, platform, sensors, networking architectures, and path planning models for different OGI pipeline surveillance scenarios must be resolved to use FANETs effectively for robust and sustainable networks. The prime objective of this research is a state-of-the-art review of UAVs in OGI. We first present OGI midstream challenges and parameters to give a brief overview of the challenges faced by the OGI for pipeline surveillance. Then we discuss OGI-specific scenarios for sensor readings, visual leak detection, and detection of any unusual activity that happens in the pipeline while monitoring through UAVs. We also present different OGI-specific UAV platforms, UAV networking architectures, and path planning models of FANET for efficient communication and collaboration. Finally, the challenges of UAVs and future research prospects in OGI-specific UAVs are highlighted.

Translation of AADL model to security attack tree (TAMSAT) to SMART evaluation of monetary security risk

ABSTRACT Designing secure architectures for IT infrastructure is a difficult process that needs mechanisms to provide security risk metrics that can help guide the system design process. It is through this evaluation process that a designer can ensure that implementations of a model meet the necessary security-based requirements. This work presents a scheme called TAMSAT for translating early-stage system architecture design models into security-based attack trees, which are evaluated for security risk. These attack trees can be evaluated around a set of assets of importance, whose security risk is classified by a monetary value. This security risk value can inform the system designer and provide input into an iterative design process, as well as illuminate unexpected sources of potential future security issues.

Large-Scale Shopping Mall Architectural Design Based on Intelligent BIM Technology

In this paper, limit analysis method and limit analysis finite element method are used to study the stability of large-scale shopping mall building structure. Moreover, this paper combines data analysis to verify the algorithm analysis process of this paper and uses statistical methods to verify that the algorithm proposed in this paper is applicable to the architectural design of large shopping malls. Furthermore, this work uses BIM and finite element technologies to test the usefulness of this strategy by simulating the shopping mall design process. The experimental research shows that the large-scale shopping mall architectural design model proposed in this paper, which is based on intelligent BIM technology, has a good large-scale shopping mall architectural design effect as well as a large-scale shopping mall architectural structure analysis effect.

Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving (Case Study of Residential Architecture in Northwest of Iran)

In the last decades, researchers have been considering some fundamental issues such as energy saving, global warming, greenhouse emissions, and non‐renewable energy to make models of house environmental standards to achieve a suitable consumption pattern for saving energy. In architecture, using natural energy is one of the essential pillars of design because it was one of the criteria of designing, which was considered on climate and geography, and it has been a high performance of climate adaptation in the modeling of traditional houses. In this research, Azerbaijan (located in northwestern Iran) is selected to evaluate the practical features of traditional Iranian houses designed in the cold climate, and criteria for developing sensible solutions to achieve a suitable design model for energy saving are provided. The primary purpose of this paper is to evaluate and identify the features of climate design in traditional houses in a cold climate, which are suitable residential buildings for energy management, and to identify the components affecting energy saving. The data collection method is based on checklists, observation, considering the orientation, density, solar radiation angle in the region, documentary, analysis of maps, and adaptation of the architectural plan of the studied houses with the pattern of solar radiation in the area. This research discusses the design criteria for future structures and their adaptable measures based on the obtained results. Finally, it is declared that the traditional architectural design model follows the region’s climatic conditions, and considering the current climate and energies, traditional houses were designed; therefore, the best model for maximum use of available energy is climatic design. As a result, suggestions are made regarding residential architecture design to save energy.

Implementation of Open Data Exchange between Architectural Design and Structural Analysis Models

Building information modelling promises model-based collaboration between stakeholders in the project design stage. However, data exchange between physical and analytical building models used for architectural design and structural analysis respectively rarely takes place due to numerous differences in building element representation, especially the representation of geometry. This paper presents the realization of a novel data exchange framework between architectural design and structural analysis building models, based on open interpretations on central storage. The exchange is achieved with a new system architecture, where the program redDim was developed to perform the interpretations, including the most challenging transformations of geometry. We deliver a proof of concept for the novel framework with a prototype building model and verify it on two further building models. Results show that structural-analysis models can be correctly automatically created by reducing dimensionality and reconnecting building elements. The proposed data exchange provides a base for missing standardization of interpretations, which facilitates the non-proprietary automated conversion between physical and analytical models. This research fills the gap in the existing model-based communication that could lead to a seamless data exchange.

Structural Analysis and 3D Timber Spatial Structure Modeling

The analysis of the structural form of the multi-volume dome structure using load-bearing wooden arches is performed. The complexity of the volumes and their connecting lines, as well as the requirement to conduct a non-linear analysis of long-span wooden elements at the request of Eurocode 5 make the information model necessary. It is noted that the design using this technology is developing in the direction of taking into account all stages of the structure life cycle. Information modeling of wooden structures in the world is the most prepared for the use of BIM-technologies. This is due to the sophisticated digital technologies for the production of modern wooden structures elements. An information model was formed for designing according to the regulations of Ukraine. The Information Model was created in the SAPFIR software package for further possibility of importing the model into the LIRA-CAD software package. The necessary auxiliary steps were used to build the model. The loads on the curved surface were calculated in the PC Espri. For further development of the nodes, 3D-modeling was used with the transfer of the information model into the PC Tekla Structures as a specialized environment for the constructive section of the project.
 The presented analysis of the complex dome structure using wooden arches summarizes the approaches to the development of unique forms of structures using wood. The use of information models has significantly increased the complexity of architectural design and structural model taking into account the nonlinear effects of wood. The possibility of integrating these tools for further implementation in BIM-technology is shown.

Architectural Interior Modeling Product Design Based on the Multimedia Three-Dimensional Hybrid Algorithm

With the continuous development of social economy, people’s aspiration for architecture is getting higher and higher. Designing more functional and aesthetically pleasing interior styling products is increasingly important research. Relying on the multimedia three-dimensional hybrid algorithm, the mathematical modeling of the relationship between visual comfort and chromaticity is modeled in this paper, to construct an economical and practical interior architectural design model that takes into account color comfort perception, that is, complete “design, conversion, editing and repair, and semantic and coordinate supplement” and other chain construction to realize usable interior architectural design models. The simulation experiment results show that the model based on the multimedia 3D hybrid algorithm has high practicability.

Interpreted open data exchange between architectural design and structural analysis models

The heterogeneity of the architecture, engineering and construction (AEC) industry reflects on digital building models, which differ across domains and planning phases. Data exchange between architectural design and structural analysis models poses a particular challenge because of dramatically different representations of building elements. Existing software tools and standards have not been able to deal with these differences. The research on inter-domain building information modelling (BIM) frameworks does not consider the geometry interpretations for data exchange. Analysis of geometry interpretations is mostly project-specific and is seldom reflected in general data exchange frameworks. By defining a data exchange framework that engages with varying requirements and representations of architectural design and structural analysis in terms of geometry, which is open to other domains, we aim to close the identified gap. Existing classification systems in software tools and standards were reviewed in order to understand architectural design and structural analysis representations and to identify the relationships between them. Following the analysis, a novel data management framework based on classification, interpretation and automation was proposed, implemented and tested. Classification is a model specification including domain-specific terms and relationships between them. Interpretations consist of inter-domain procedures necessary to generate domain-specific models from a provided model. Automation represents the connection between open domain-specific models and proprietary models in software tools. Practical implementation with a test case demonstrated a possible realization of the proposed framework. The innovative contribution of the research is a novel framework based on the system of open domain-specific classifications and procedures for the inter-domain interpretation, which can prepare domain-specific models on central storage. The main benefit is a centrally prepared domain-specific model, relieving software developers from so-far-unsuccessful implementation of complex inter-domain interpretations in each software tool, and providing end users with control over the data exchange. Although the framework is based on the exchange between architectural design and structural analysis, the proposed central data management framework can be used for other exchange processes involving different model representations.