Architectural Engineering Research Articles

The Bounded Limitlessness of Digital Gender-Sexual Violations: The Implications for Women and Gender-Sexual Relations.

Developments in digital technologies might provide limitless ways to reshape humanity's very existence, but also open up what we term "bounded limitless" opportunities for digital gender-sexual violations (DGSV). That is, "limitless" opportunities for men to sexually violate women within the inherent "boundedness" of digital technological infrastructures and architectures. Building on the existing interdisciplinary feminist scholarship, we explore the gendered disbenefits, specifically some of the ways in which digital technologies provide men with "bounded limitless" opportunities to perpetrate DGSV in physical and virtual times and spaces, and the implications for women, their bodies, and gender-sexual relations more broadly.

Research on the High-Quality Development of Agricultural Supply Chain Financial Ecosystem Empowered by Science and Technology

A systematic perspective on agricultural supply chain finance can offer fresh insights into its development. The high-quality development of the agricultural supply chain finance ecosystem is crucial for the comprehensive revitalization of rural areas and the realization of agricultural power. Based on the current state of development of this ecosystem, this paper identifies several bottlenecks, such as insufficient policy and technical support in the macro-environment system, weak incentives for independent circulation within the industrial environment system, and inadequate motivation for stakeholders to participate in the micro-environment system. To address these issues, this paper proposes that the visualization, digitalization, and authenticity characteristics of the “blockchain + Internet of Things” technology architecture can effectively resolve these bottlenecks. Additionally, targeted strategies are suggested to promote the high-quality development of the agricultural supply chain finance ecosystem.

Las Polémicas de la Relación Espacio Social y su Influencia en la Forma Urbana en Ciudades Contemporáneas

This essay explores the polemics of the concept “social spatial.” Four main axes of thought can be distinguished: social space as the material environment of social groups; social space as a relational establishment of positions; social space as a dialectical approach to the society-space relationship; and, finally, the threads of constructivism that question the opposition of society and space from a post-structural perspective. This essay attempts to situate these four perspectives within the literature that pays attention to social theory, social geography, urban studies and their implications for the spatial professions of urban planning, urban design, architecture and civil engineering. These four perspectives of social space are complementary from a theoretical point of view. Its application in social research often occurs simultaneously within and among different disciplines, depending largely on the object of analysis, and how geography is defined. I argue that these four theoretical perspectives define geography differently as either functional space, central places, territoriality, or lived places. Moreover, these perspectives and their respective definitions of geography influence practice and professional policy that affect urban form. This essay pays attention to the link between knowledge and practice that have created contemporary socio-spatial environments.

Advancements in Eco‐Friendly Colloidal Quantum Dots and their Application in Light Emitting Diodes: Achieving Bright and Color‐Pure Emission for Displays

AbstractSolution‐processable colloidal quantum dots (QDs) are regarded as promising light emitters for next‐generation displays owing to their high photoluminescence quantum yield (PLQY) and broad color tunability. Even though cadmium (Cd)‐based QDs and relevant electroluminescent light‐emitting diodes (LEDs) progressed rapidly, their commercial deployment remains prohibited due to potential environmental concerns. In this review, recent advances in synthesizing eco‐friendly, bright, and color‐pure emitting QDs including InP, ZnSeTe, and AgInGaS2 (AIGS) QDs toward high‐performing LEDs are presented. In particular, the synthetic strategies such as regulating the composition, core/shell structure, and surface ligands of QDs for enhancing the PLQY and reducing the spectral bandwidth are comprehensively discussed. Moreover, various techniques to obtain high‐performance QDs‐based LEDs (QLEDs) involving device architecture and interface engineering as well as modification in electron and hole transport layers are overviewed. Finally, the existing challenges and outlook regarding the optimization of QD's synthesis and optical properties for boosted QLEDs device performance are put forward to enable prospective advanced displays.

Structural Engineering of Cationic Block Copolymer Architectures for Selective Breaching of Prokaryotic and Eukaryotic Biological Species.

Positively charged antimicrobial polymers are known to cause severe damage to biological systems, and thus synthetic strategies are urgently required to design next-generation nontoxic cationic macromolecular architectures for healthcare applications. Here, we report a structural-engineering strategy to build cationic linear and star-block copolymer nanoarchitectures having identical chemical composition, molar mass, nanoparticle size, and positive surface charge, yet they differ distinctly in their biological action in breaching prokaryotic species such as E. coli (Gram-negative bacteria) without affecting eukaryotic species like red-blood and mammalian cells. For this purpose, linear and star-block structures are built on a polycaprolactone biodegradable platform having an imidazolium positive handle. Under physiological conditions, the linear architecture exhibits toxicity indiscriminately to all biological species, whereas its star counterpart is remarkably selective in membrane breaching action toward bacteria while maintaining inertness toward eukaryotic species. Confocal microscopy analysis of HPTS fluorescent dye-loaded star-polymer nanoparticles substantiated their antimicrobial action in E. coli. Tissue-penetrable near-infrared fluorescent dye (IR-780) loaded NP aided the in vivo biodistribution analysis and ex vivo quantification of cationic species' accumulations in vital organs in mice. Azithromycin, a clinical water-insoluble macrolide, is delivered from the star platform to accomplish synergistic antimicrobial activity by the combination of bactericidal-bacteriostatic action of the polymer carrier and drug together in a single system.

Study on the Prediction of Motion Response of Offshore Platforms Based on ResCNN-LSTM

In the random sea environment, offshore platforms are influenced by factors such as wind, waves, and currents, as well as their interactions, leading to complex motion phenomena that affect the safety of offshore platform operations. Consequently, accurately predicting the motion response of offshore platforms has long been a key focus in the fields of naval architecture and ocean engineering. This paper utilizes STAR-CCM+ to simulate time-history data of offshore platform motion responses under both regular and irregular waves. Furthermore, a predictive model combining residual convolutional neural networks and long short-term memory neural networks using neural network technology is also studied. This model utilizes an autoregressive approach to predict the motion responses of offshore platforms, with its predictive accuracy validated through comprehensive evaluations. Under regular wave conditions, the coefficient of determination (R2) for the platform’s heave and pitch responses consistently exceeds 0.99. Meanwhile, under irregular wave conditions, the R2 values remain generally above 0.4. Additionally, the model exhibits commendable performance in terms of Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) metrics. The aim of this study is to present a novel approach to predicting offshore platform motion responses, while providing a more scientific basis for decision-making in offshore platform operations.

Exploring Students Awareness, Access and Utilization of Artificial Intelligence (AI) in Architectural Design

Artificial intelligence has become a trending topic in the last decade and has permeated all spheres of life and profession and Architecture is no exception. The use of artificial intelligence in architecture is still in its infancy as more research is still being carried out in the application of artificial intelligence in architecture to solve problems ranging from intelligent material design to architectural plan solutions. This study aimed to examine students’ levels of awareness, access, and use of artificial intelligence in architectural design at selected tertiary institutions in Southeast Nigeria. The three tertiary institutions selected are; The Department of Architectural Technology, Akanu Ibiam Federal Polytechnic Unwana, The Department of Architectural Technology Abia State Polytechnic, Aba and The Department of Architecture, Abia State University, Uturu. The main objective is to carry out a survey to investigate the awareness, access, and utilization of artificial intelligence (AI) in architectural design among students in selected tertiary institutions in Southeast Nigeria. This study adopted a descriptive research design of the survey method and employed a three-sectioned questionnaire to elicit information from the respondents. The sample size included a multistage sample of 300 undergraduates across three tertiary institutions in Ebonyi State and Abia State. The findings of the study were that the majority of the students are not aware of artificial intelligence and will use AI if they are aware of it and have access to it for their architectural design. Therefore, there is a need for integrating AI-related courses and workshops into the Architectural curriculum which can lead to better-prepared graduates who are proficient in using advanced design tools, potentially increasing their employability and innovation in the field. This study concluded that students' ability to explore digital resources such as AI for Architectural design is dependent on their awareness and access to digital technologies. A lack of these will result in a lack of use and lack of skill to use them.

A cultural exposition model for interpreting architectural heritage: A study on Pingyao historical city

Architectural heritage, encompassing both its material and immaterial aspects, serves as a vital lens for understanding the historical, social, and esthetic values embedded in a society. As a reflection of cultural evolution, it offers insight into the architectural technologies, social structures, and collective memories of specific historical periods. This article investigates the architectural history of Pingyao historical city by employing theoretical perspectives that integrate material, social, and spiritual dimensions. The study demonstrates how the philosophy and cultural values of ancient Chinese society are reflected in the spatial and architectural forms of Pingyao. The material dimension considers how principles such as Feng Shui, numerology, and color symbolism shaped the city’s general layout and building designs. The social attribute addresses the influence of Confucianism on spatial organization, the use of culturally significant architectural elements, and the function of key structures in fostering social unity among the population. The spiritual aspect explores concepts of Eastern origin, such as Yin and Yang, the Five Elements theory, and the “Unity of Heaven and Humanity,” as these are incorporated into the city’s external architecture. Furthermore, it examines the influence of Buddhism and Daoism on Pyingyao’s architectural features. This comprehensive analysis reveals that Pingyao is far more than a collection of historic buildings; it is an intricate cultural artifact, offering a unique perspective on earlier stages of Chinese thought and society. Therefore, the preservation and study of Pingyao’s architecture offer a valuable opportunity to deepen our understanding of China’s architectural history.

Interpretable reduced-order optimization research for improving indoor environmental quality in buildings based on dimensional analysis and surrogate-based optimization

Implementing large-scale optimization designs and identifying optimal design variables in fields such as architectural engineering is crucial for improving indoor environmental quality. However, the high-dimensional nonlinear characteristics complicate the understanding of the optimization process and increase the difficulty of finding optimal solutions. This study proposes an interpretable reduced-order optimization (ROO) method based on dimensional analysis, which integrates numerous variables into a single reduced-order coefficient through a power form. The goal is to develop a reduced-order and approximately one-dimensional nonlinear relationship during the optimization process and to reveal the mechanisms of single-objective and multi-objective optimization, thereby enhancing the interpretability of the optimization process. The reliability of the ROO is validated through single-objective optimization of building thermal bridges and multi-objective optimization of squirrel cage fans. The study shows that the power in the reduced-order coefficient can be used to determine the sensitivity and impact of design variables on optimization targets. The nonlinear relationship between the composite structural parameters of the building thermal bridge and the total heat flux can be reduced to an approximately one-dimensional linear relationship, significantly reducing the total heat flux of the thermal bridge by 10.3 %. The ROO accurately describes the aerodynamic performance of the fan and its high-dimensional nonlinear relationship with eight design variables, eliminating optimization conflicts among multiple operating conditions and significantly enhancing the aerodynamic performance. The ROO method proposed in this study offers a new approach to making the optimization process more interpretable, playing a crucial role in optimization design and revealing optimization mechanisms in engineering applications.

Multi-Fidelity Aeromechanical Design Framework for High Flow Speed Multistage Axial Compressors

Abstract The development of novel engine architectures is vital in achieving the aviation sector’s net-zero carbon emission target by 2050. With today’s digital decade providing support for an accelerated technology maturation, the challenge for turbomachinery design remains to significantly push the limits of current performance within an ambitious development lead time. In this context, it is essential to adopt a design framework where the predictive models or simulations employed target a sufficiently reliable performance assessment. These models must be tailored to the dynamics of evolving industrial design processes, and therefore continuously balance required design flexibility, robust evaluation, appropriate fidelity (i.e. the level of detail and accuracy they provide), and resulting evaluation time. This paper discusses a framework for designing axial compressors and its application to the aeromechanical optimisation of a high-speed compressor rotor. The design environment integrates geometry parametrisation, modular evaluation with different levels of fidelity for the aerodynamic and structural models, and surrogate-based optimisation (SBO) capabilities. It is shown how the combination of a modular sequencing of the different models and the acceleration enabled by high-performance computing (HPC) and machine learning allows for a more advanced preliminary design. A significant gain in isentropic efficiency is attained while satisfying all structural constraints. At the same time, it is demonstrated that the framework is compatible with the characteristics of the preliminary design phase: both in its ability to adapt to cycle and design changes as well as regarding the turnaround time of the optimisation itself.

Technological architecture for interoperability in cancer studies

Introduction: Given the high incidence of colorectal cancer among patients at the Holguín Oncology Center and the insufficient interoperability that hinders data collection and analysis, affecting the accuracy of studies, the importance of a technological architecture that enables access to integrated clinical data is emphasized.Objective: To design and evaluate a technological interoperability architecture that optimizes the organization and analysis of clinical data to improve survival studies of colorectal cancer at the Territorial Oncology Center of Holguín.Methods: Using the architecture development method proposed by the TOGAF framework, an interoperability technology architecture was designed. The Kaplan-Meier method was employed for survival analysis, and a study was conducted with a sample of 206 patients diagnosed with colorectal cancer between 2019 and 2024, analyzing variables such as age, sex, histological type, and treatment regimen.Results: Improved interoperability was achieved, reflecting enhanced analysis in cancer survival studies. This allowed for a better understanding of treatment efficacy, disease demographics, and the impact of chemotherapy and surgical treatment.Conclusions: The designed interoperability architecture has facilitated data exchange between systems, improving the collection and organization of clinical information, which has had a significant impact on the optimization of treatments and patient outcomes

Effective stress dissipation by multi-dimensional architecture engineering for ultrafast and ultralong sodium storage

Stress accumulation is a key factor leading to sodium storage performance deterioration for NiSe2-based anodes. Therefore, inhibiting the concentrated local stress during the sodiataion/desodiation process is crucial for acquiring stable NiSe2-based materials for sodium-ion batteries (SIBs). Herein, a stress dissipation strategy driven by architecture engineering is proposed, which can achieve ultrafast and ultralong sodium storage properties. Different from the conventional sphere-like or rod-like architecture, the three-dimensional (3D) flower-like NiSe2@C composite is delicately designed and assembled with one-dimensional nanorods and carbon framework. More importantly, the fundamental mechanism of improved structure stability is unveiled by simulations and experimental results simultaneously. It demonstrates that this designed multidimensional flower-like architecture with dispersed nanorods can balance the structural mismatch, avoid concentrated local strain, and relax the internal stress, mainly induced by the unavoidable volume variation during the repeated conversion processes. Moreover, it can provide more Na+-storage sites and multi-directional migration pathways, leading to a fast Na+-migration channel with boosted reaction kinetic. As expected, it delivers superior rate performance (441 mA h g−1 at 5.0 A g−1) and long cycling stability (563 mA h g−1 at 1.0 A g−1 over 1000 cycles) for SIBs. This work provides useful insights for designing high-performance conversion-based anode materials for SIBs.

Smart Photovoltaic Windows for Next-Generation Energy-Saving Buildings.

The global energy system transforming from fossil fuels to renewable green energy through the adaption of innovative and dynamic green technologies. Energy-saving buildings (ESBs) are attracting extensive attention as intelligent architectures capable of significantly reducing the energy consumption for heating, air-conditioning, and lighting. They provide comfortable working and living environment by regulating and harnessing solar energy. Smart photovoltaic windows (SPWs) offer a promising platform for designing ESBs due to their unique feature. They can modulate solar energy based on dynamic color switching behavior under external stimuli and generate electrical power by harvesting solar energy. In this review, the-state-of-art of strategies and technologies are summarized putting SPWs toward high-efficiency ESBs. The SPWs are systematically categorized according to the working principle and functional component. For each type of SPWs, material and architecture engineering are focused on to optimize operation mode, optical modulation capability, photovoltaic performance and durability for giving ESBs flexible manipulation, extraordinary energy-saving effect, and high electricity power. In addition, the challenges and opportunities in this cutting-edge research area are discussed, with the aim of promoting the development of advanced multifunctional SPWs and their application in high efficiency ESBs.

Construction of the Co3O4/Nb2O5 Composite Catalyst with a Prickly Spherelike Architecture for CO2 Cycloaddition with Styrene Oxide.

A high-performance Nb2O5-based catalyst for the cycloaddition of CO2 with SO is designed by properly unifying the concepts of compositional regulation and architectural engineering. The Co3O4/Nb2O5 composite catalyst shows an intriguing prickly spherelike morphology. It exhibits a high styrene carbonate (SC) yield of 94.3% within 4 h (0.0824 mol g-1 h-1) under mild reaction conditions (0.4 MPa of CO2 and a reaction temperature of 90 °C) assisted by tetrabutylammonium bromide (TBAB). The coupling of Co3O4, which chemically interacts with Nb2O5, can effectively modulate the electronic structures of Nb2O5, constructing abundant acid/base sites for effectively activating the reactants and boosting the intrinsic activity. The high activity, cost-effectiveness, and good recyclability make the tailor-made Co3O4/Nb2O5 prickly spheres more appealing for commercial applications. This work offers new insights into designing and constructing well-integrated metal oxide composites for the cycloaddition of CO2 with an epoxide.

Engineering morphological architecture of superhydrophobic/hydrophilic composite membrane for efficient photothermal membrane distillation

The viability and efficacy of photothermal membrane distillation (PMD) is still uncertain due to its inherent energy-efficiency and throughput mass flux limitation. Herein, we develop a delamination-free multilayer photothermal membrane that simultaneously imparts slashed mass transfer resistance, enhanced photothermal effect and strong water-repellency by engineering morphological architecture. Using a one-step programmed dual-channel electrospinning followed by an electrostatic spraying technique, the proposed membrane is composited by a thick water-intrudable hydrophilic supporting layer, a thin hydrophobic layer, and an ultrathin Ti3C2Tx MXene-engineered superhydrophobic layer. It is proposed that the morphological architecture engineering could render mitigation of mass transfer resistance, firm water-repellency, and robust heat localization. Hence, in addition to superior flux of 1.27 L m−2 h−1 (inlet feed/permeate at 20/20 °C) and 15.89 L m−2 h−1 (inlet feed/permeate at 50/20 °C), prominent solar efficiency (76.34 % and 96.45 %) of the proposed composite membrane (DS15-M) also was achieved during PMD operation (1.0 kW m−2). Moreover, the DS15-M showcased not only robust wetting resistance and long-term consistency, but also obviously mitigated temperature polarization effect during the PMD operation. This research work emphasizes the important role of morphological architecture in rendering performance enhancement, which is a significant implication in engineering membrane architecture for PMD application.

A flexible proximity-pressure–temperature tri-mode robotic sensor with stimulus discriminability, high sensitivity and wide perception range

Along with the explosive utilization of intelligent and bionic robotics, the rise of somatosensory system with excellent flexibility and multiple biological sensing characteristic emerges as a substantial crux of this domain. Herein, we propose a flexible high-performance multi-mode sensor for real-time proximity–pressure–temperature perception based on a monolithic sensing unit with fingerprint-like hierarchical architecture. The monolithic sensing unit, primarily constituted by a double-permeable ionic liquids/Multi-walled nanotubes conductive network, demonstrates dual-functionality in detecting pressure and temperature. Making use of the further synergy of rational topographical architecture engineering and feasible decoupling algorithm construction, extraordinary progress in sensing performances for both pressure and temperature are attained with negligible mutual interferences. Additionally, the sensor is capable of switching to touchless mode to detect objects at distance up to 200 mm, validating its remarkable proximity sensing ability. The multifunctional nature of sensor is further substantiated through its integration with a robotic hand, highlighting its practical applicability in advanced robotic systems.

Zinc Tellurium with Anionic Vacancies Anchored on Ordered Macroporous Carbon Skeleton Enabling Accelerated Polysulfide Conversion for Lithium-Sulfur Batteries.

Lithium-sulfur batteries (LSBs) showcase great promise for large-scale energy storage systems, however, their practical commercialization is seriously hindered by the sluggish redox reaction kinetics and detrimental shuttle effect of soluble polysulfides. Herein, small ZnTe1- x nanoparticles with anionic vacancies firmly anchored on 3D ordered macroporous N-doped carbon skeleton (3DOM-ZnTe1- x@NC) are elaborately constructed as a high-efficiency electrocatalyst for LSBs. The ordered macroporous carbon skeleton not only greatly increases the external surface area to expose sufficient active sites but also facilitates the electrolyte penetration. Additionally, the experimental studies combined with theoretical calculations confirm the presence of Te vacancies optimizes the electronic structure to enhance the intrinsic catalytic activity and chemical absorption. Consequently, LSBs assembled with the 3DOM-ZnTe1- x@NC modified separators exhibit high specific discharge capacity, as well as superior rate performance and good long-term cycling stability. Even under a high sulfur loading of 6.5 mg cm-2 and lean electrolyte, an impressive areal capacity of 5.28 mAh cm-2 is achieved at 0.1C after 100 cycles. More significantly, the 3DOM-ZnTe1- x@NC based pouch cells are also fabricated to demonstrate its potential for practical applications. This work highlights that the rational combination of 3DOM architecture and vacancy engineering is important for designing advanced Li-S electrocatalysts.

Effect of ethanol content, water injection, and compression ratio on combustion and detailed emissions in an SI-GDI engine

The transportation sector accounts for 29 % of the total greenhouse gas emissions produced in the US. Steadily tightening criteria emissions and fuel efficiency requirements have led to current research efforts evaluating multiple mixed strategies or extending beyond traditional engine architectures and fuels. Ethanol is used extensively as both a fuel additive and primary fuel replacement for gasoline. Modern engines utilizing boosting or high compression ratios require fuels such as ethanol that are more resistant to pre-ignition to operate efficiently at high load conditions. Water dilution has historically been used for knock reduction and some potential has been found for emissions and efficiency improvements. The studies on these topics, however, often focus on wide-open-throttle (WOT) conditions and neglect part load where engines normally operate. This investigation evaluates the combined effects of fuel ethanol content, compression ratio, and water dilution on the combustion and emissions characteristics A 2.4L 4-cylinder naturally aspirated (NA) gasoline direct injection (GDI) engine at part load conditions.The results indicated that the varied combinations of compression ratio and fuel ethanol content did not change the typical performance or emissions results expected for either parameter alone. Water dilution only significantly degraded stability at conditions with coefficient of variation (CoV) of indicated mean effective pressure (IMEP) values near or above 3 %. Water dilution at 10 % and 20 % W/F rations reduced average oxides of nitrogen (NOx) emissions by 20 % and 40 % respectively. The water dilution effect on unburned hydrocarbons (UHCs) was more mixed with flame ionization detector (FID) results showing mixed positive and negative effects for lower ethanol content fuels and up to a 20 % increase in UHC emissions with the high ethanol fuel (E85). Fourier transform infrared (FTIR) results agreed with the fuel blend UHC sensitivity reported with the FID. Ethanol emissions were found to increase by two to three times more for each level of water dilution than unburned gasoline emissions.

Enterprise Architecture Design of PT Hariansyah Karya Group Information System Using TOGAF ADM

The rapid development of information technology provides great benefits in the business world, but its utilization must be aligned with industry goals to avoid failures arising from lack of planning PT Hariansyah Karya Group is a service provider company with various business units under its auspices facing challenges in selecting and implementing information systems and information technology in accordance with business needs. This research focuses on designing an integrated enterprise architecture using the The Open Group Architecture Framework (TOGAF) framework and the Architecture Development Method (ADM) to meet the business needs of PT Hariansyah Karya Group and analyze business needs and design appropriate architectural solutions. The research includes five main phases of TOGAF ADM: Preliminary Phase, Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. The results of the research are used as a guide for developing an integrated information system at PT Hariansyah Karya Group that can increase operational efficiency, improve coordination between business units, and support company growth to adapt to technological developments. In addition, this research aims to improve the performance and efficiency of business processes at PT Hariansyah Karya Group after the implementation of the new enterprise architecture. With good enterprise architecture planning and in accordance with business strategy, PT Hariansyah Karya Group is expected to optimize its business processes and reduce the risk of information system implementation failure.

Strategi Perencanaan Prasarana Sekolah dengan Enterprise Architecture dan Framework TOGAF

The planning and management of school infrastructure are critical for ensuring the effective delivery of educational services. This study explores the application of Enterprise Architecture (EA) using the TOGAF (The Open Group Architecture Framework) to improve the management of infrastructure at SMK IDN, an IT-focused boarding school. The research involves identifying current issues with the manual system used for infrastructure management, collecting data through observations, interviews, and document analysis, and developing a comprehensive information system that integrates and automates these processes. The TOGAF-ADM framework is employed to map the required architectural solutions, including business, application, and technology architectures. Implementation of this system aims to enhance efficiency, data consistency, and ease of asset tracking. The expected outcome is a robust, integrated information system that supports better infrastructure management, aligning with the school's mission to provide high-quality, technologically advanced education.