Hasil untuk "Architectural engineering. Structural engineering of buildings"

Alina Apostu, Maria Drăghici

This case study of Masca, the first Romanian public theatre to pilot a socio-ecological urban living lab (ULL), reassesses resilience through a resourcefulness lens. It explores the challenges and opportunities public cultural institutions face in reinventing themselves as facilitators of resilience practices. Masca ULL’s aims and activities are positioned as anticipated resilience practices: tried-and-tested sustainable practices cultivated through transdisciplinary collaboration and community engagement in commoning activities. Formal and informal stakeholder networks, organisational structures and key turning points in Masca’s ULL process are analysed. Two emergent forms of resilience are identified: (1) the capacity to build collective resilient action despite volatile social partnerships and weak support structures; and (2) the endurance to imagine and enact alternative futures despite little government support and even little social cohesion. An untapped potential exists for cultural institutions to connect social actors and to facilitate socio-ecological resilience. PRACTICE RELEVANCE Public cultural institutions, such as theatres, have a significant potential to cultivate and integrate sustainable practices and social cohesion at local and wider scales by reassessing and expanding their public functions. ULLs can provide the setting to test and prefigure alternative models that would enable public cultural institutions to act as facilitators for stakeholders from multiple sectors—administration/governance, research, business, communities—to collaborate and develop resilient socio-ecological practices in response to the most pressing issues faced by society, e.g. ecological crises. Apart from integrating tried-and-tested resilience practices, ULLs can develop methods to identify and maximise forms of resilience to address specific local circumstances with national and global scales.

Mark Looi

The rapid advance of Generative AI into software development prompts this empirical investigation of perceptual effects on practice. We study the usage patterns of 147 professional developers, examining perceived correlates of AI tools use, the resulting productivity and quality outcomes, and developer readiness for emerging AI-enhanced development. We describe a virtuous adoption cycle where frequent and broad AI tools use are the strongest correlates of both Perceived Productivity (PP) and quality, with frequency strongest. The study finds no perceptual support for the Quality Paradox and shows that PP is positively correlated with Perceived Code Quality (PQ) improvement. Developers thus report both productivity and quality gains. High current usage, breadth of application, frequent use of AI tools for testing, and ease of use correlate strongly with future intended adoption, though security concerns remain a moderate and statistically significant barrier to adoption. Moreover, AI testing tools' adoption lags that of coding tools, opening a Testing Gap. We identify three developer archetypes (Enthusiasts, Pragmatists, Cautious) that align with an innovation diffusion process wherein the virtuous adoption cycle serves as the individual engine of progression. Our findings reveal that organizational adoption of AI tools follows such a process: Enthusiasts push ahead with tools, creating organizational success that converts Pragmatists. The Cautious are held in organizational stasis: without early adopter examples, they don't enter the virtuous adoption cycle, never accumulate the usage frequency that drives intent, and never attain high efficacy. Policy itself does not predict individuals' intent to increase usage but functions as a marker of maturity, formalizing the successful diffusion of adoption by Enthusiasts while acting as a gateway that the Cautious group has yet to reach.

Lili Chen, Winn Wing-Yiu Chow, Stella Peng et al.

PURPOSE OR GOAL: This study investigates how GenAI can be integrated with a criterion-referenced grading framework to improve the efficiency and quality of grading for mathematical assessments in engineering. It specifically explores the challenges demonstrators face with manual, model solution-based grading and how a GenAI-supported system can be designed to reliably identify student errors, provide high-quality feedback, and support human graders. The research also examines human graders' perceptions of the effectiveness of this GenAI-assisted approach. ACTUAL OR ANTICIPATED OUTCOMES: The study found that GenAI achieved an overall grading accuracy of 92.5%, comparable to two experienced human graders. The two researchers, who also served as subject demonstrators, perceived the GenAI as a helpful second reviewer that improved accuracy by catching small errors and provided more complete feedback than they could manually. A central outcome was the significant enhancement of formative feedback. However, they noted the GenAI tool is not yet reliable enough for autonomous use, especially with unconventional solutions. CONCLUSIONS/RECOMMENDATIONS/SUMMARY: This study demonstrates that GenAI, when paired with a structured, criterion-referenced framework using binary questions, can grade engineering mathematical assessments with an accuracy comparable to human experts. Its primary contribution is a novel methodological approach that embeds the generation of high-quality, scalable formative feedback directly into the assessment workflow. Future work should investigate student perceptions of GenAI grading and feedback.

Jingyue Li, André Storhaug

With the advancement of Agentic AI, researchers are increasingly leveraging autonomous agents to address challenges in software engineering (SE). However, the large language models (LLMs) that underpin these agents often function as black boxes, making it difficult to justify the superiority of Agentic AI approaches over baselines. Furthermore, missing information in the evaluation design description frequently renders the reproduction of results infeasible. To synthesize current evaluation practices for Agentic AI in SE, this study analyzes 18 papers on the topic, published or accepted by ICSE 2026, ICSE 2025, FSE 2025, ASE 2025, and ISSTA 2025. The analysis identifies prevailing approaches and their limitations in evaluating Agentic AI for SE, both in current research and potential future studies. To address these shortcomings, this position paper proposes a set of guidelines and recommendations designed to empower reproducible, explainable, and effective evaluations of Agentic AI in software engineering. In particular, we recommend that Agentic AI researchers make their Thought-Action-Result (TAR) trajectories and LLM interaction data, or summarized versions of these artifacts, publicly accessible. Doing so will enable subsequent studies to more effectively analyze the strengths and weaknesses of different Agentic AI approaches. To demonstrate the feasibility of such comparisons, we present a proof-of-concept case study that illustrates how TAR trajectories can support systematic analysis across approaches.

Nidhal Selmi, Jean-michel Bruel, Sébastien Mosser et al.

Decision-making is a core engineering design activity that conveys the engineer's knowledge and translates it into courses of action. Capturing this form of knowledge can reap potential benefits for the engineering teams and enhance development efficiency. Despite its clear value, traditional decision capture often requires a significant amount of effort and still falls short of capturing the necessary context for reuse. Model-based systems engineering (MBSE) can be a promising solution to address these challenges by embedding decisions directly within system models, which can reduce the capture workload while maintaining explicit links to requirements, behaviors, and architectural elements. This article discusses a lightweight framework for integrating decision capture into MBSE workflows by representing decision alternatives as system model slices. Using a simplified industry example from aircraft architecture, we discuss the main challenges associated with decision capture and propose preliminary solutions to address these challenges.

Olubukola O. Tokede, Kumudu K. Weththasinghe, Sukanta Kumer Shill et al.

Irnawaty Idrus, Sahabuddin Latif

Even distribution of natural light is crucial in creating optimal visual comfort in classrooms. Many classrooms in tropical areas experience lighting imbalances, with areas near windows receiving excessive light, while others lack lighting. This study aims to evaluate the effectiveness of passive design strategies in improving the uniformity of natural lighting through a computational simulation approach. The research subjects include elementary, junior high, and senior high school classrooms in Makassar City, South Sulawesi. Modeling was conducted using Ecotect Analysis 2010 software, comparing two types of spaces: existing models and models with passive design interventions such as reflective floors. Simulation results show that passive design can improve daylight uniformity and significantly reduce glare potential. In addition to supporting visual comfort, the application of this strategy also contributes to energy efficiency by reducing dependence on artificial lighting. This study recommends the application of passive design as an integral part of sustainable classroom planning, especially in tropical climates.

Mohammed Latif Siddiq, Arvin Islam-Gomes, Natalie Sekerak et al.

Reproducibility is a cornerstone of scientific progress, yet its state in large language model (LLM)-based software engineering (SE) research remains poorly understood. This paper presents the first large-scale, empirical study of reproducibility practices in LLM-for-SE research. We systematically mined and analyzed 640 papers published between 2017 and 2025 across premier software engineering, machine learning, and natural language processing venues, extracting structured metadata from publications, repositories, and documentation. Guided by four research questions, we examine (i) the prevalence of reproducibility smells, (ii) how reproducibility has evolved over time, (iii) whether artifact evaluation badges reliably reflect reproducibility quality, and (iv) how publication venues influence transparency practices. Using a taxonomy of seven smell categories: Code and Execution, Data, Documentation, Environment and Tooling, Versioning, Model, and Access and Legal, we manually annotated all papers and associated artifacts. Our analysis reveals persistent gaps in artifact availability, environment specification, versioning rigor, and documentation clarity, despite modest improvements in recent years and increased adoption of artifact evaluation processes at top SE venues. Notably, we find that badges often signal artifact presence but do not consistently guarantee execution fidelity or long-term reproducibility. Motivated by these findings, we provide actionable recommendations to mitigate reproducibility smells and introduce a Reproducibility Maturity Model (RMM) to move beyond binary artifact certification toward multi-dimensional, progressive evaluation of reproducibility rigor.

Zirui Li, Stephan Husung, Haoze Wang

Cross-organizational collaboration in Model-Based Systems Engineering (MBSE) faces many challenges in achieving semantic alignment across independently developed system models. SysML v2 introduces enhanced structural modularity and formal semantics, offering a stronger foundation for interoperable modeling. Meanwhile, GPT-based Large Language Models (LLMs) provide new capabilities for assisting model understanding and integration. This paper proposes a structured, prompt-driven approach for LLM-assisted semantic alignment of SysML v2 models. The core contribution lies in the iterative development of an alignment approach and interaction prompts, incorporating model extraction, semantic matching, and verification. The approach leverages SysML v2 constructs such as alias, import, and metadata extensions to support traceable, soft alignment integration. It is demonstrated with a GPT-based LLM through an example of a measurement system. Benefits and limitations are discussed.

Hüseyin Emre Ilgın, Özlem Nur Aslantamer

High-rise office structures constructed using timber material (with a minimum of eight stories) signify a burgeoning and favorable sector, mainly owing to their ability to offer substantial environmental and economic advantages across their lifespan. However, it is crucial to recognize that the current corpus of scholarly literature lacks a thorough investigation into vital aspects concerning the architectural and structural planning of these sustainable structures. In an effort to fill this gap and augment the understanding of advancing international tendencies, this paper delved into data originating from 27 high-rise offices on a worldwide scale. The primary findings were: (i) Central core arrangements were the most popular, accounting for 67%, followed by peripheral types at 22%. (ii) Prismatic designs were the most frequently used at 85%, with free forms making up 11%. (iii) Material combinations involving timber and concrete were widely prevalent, making up 70% of composite constructions, which were 74% of the sample group, with pure timber constructions at 26%. (iv) Structural systems predominantly utilized shear walled frame systems, comprising 85% of the total. This article serves as a valuable resource for architectural designers, offering guidance on planning and executing future sustainable developments in the domain of high-rise timber office.

Abdelrahman M. Farouk, Hariharan Naganathan, Rahimi A. Rahman et al.

The role of technology in education is becoming increasingly important, and the introduction of advanced technology and AI is transforming the way we learn. Virtual reality (VR) is an effective technology that enhances student engagement and improves learning outcomes. However, the cost of implementing VR is a significant concern for educational institutions, making integrating VR technology into education challenging. To address this challenge, this study aims to explore the costs associated with integrating VR into architectural, engineering, and construction (AEC) education. The study had three objectives: to identify relevant case studies that utilized VR in AEC education, to perform keyword analysis, and to conduct a cost analysis of the selected case studies. The thematic analysis identified VR applications in various categories, including VR platforms, construction safety training, design review simulators, civil engineering labs, building information modeling (BIM) integration, architectural design, and surveying engineering. The results revealed that the cost of VR varies based on the application, indicating that it is possible to implement VR in education even on a limited budget. This research provides valuable insights and recommendations for researchers and practitioners who want to adopt VR technology in AEC education effectively.

Oliver Karras, Felix Wernlein, Jil Klünder et al.

[Background.] Empirical research in requirements engineering (RE) is a constantly evolving topic, with a growing number of publications. Several papers address this topic using literature reviews to provide a snapshot of its "current" state and evolution. However, these papers have never built on or updated earlier ones, resulting in overlap and redundancy. The underlying problem is the unavailability of data from earlier works. Researchers need technical infrastructures to conduct sustainable literature reviews. [Aims.] We examine the use of the Open Research Knowledge Graph (ORKG) as such an infrastructure to build and publish an initial Knowledge Graph of Empirical research in RE (KG-EmpiRE) whose data is openly available. Our long-term goal is to continuously maintain KG-EmpiRE with the research community to synthesize a comprehensive, up-to-date, and long-term available overview of the state and evolution of empirical research in RE. [Method.] We conduct a literature review using the ORKG to build and publish KG-EmpiRE which we evaluate against competency questions derived from a published vision of empirical research in software (requirements) engineering for 2020 - 2025. [Results.] From 570 papers of the IEEE International Requirements Engineering Conference (2000 - 2022), we extract and analyze data on the reported empirical research and answer 16 out of 77 competency questions. These answers show a positive development towards the vision, but also the need for future improvements. [Conclusions.] The ORKG is a ready-to-use and advanced infrastructure to organize data from literature reviews as knowledge graphs. The resulting knowledge graphs make the data openly available and maintainable by research communities, enabling sustainable literature reviews.

Keisuke Horiuchi, Ken Nakae

Abstract In this paper, the survey conducted by the government aimed at collecting fundamental statistics on housing is referred to as the “national housing statistics survey.” The purpose of this study is to clarify the background of the discussions on the national housing statistics survey in Japan and how these discussions were linked to the actual survey. Previous studies have recognized two surveys in 1941, the “Housing Survey of Industrial Cities” and the “Housing Survey of Larger Cities” as the first national housing statistical surveys in Japan, and revealed the background to how both surveys were conducted. In contrast, this paper also focused on the discussions that ensued between the 1920s and 1930s, and discovered that discussions on obtaining national housing statistics began in 1923, and Japanese researchers intended to include housing‐related items in the 1930 National Census. However, its implementation was incomplete owing to a lack of funds, and only the number of rooms was investigated. The results of the discussions up to 1930 were reflected in the discussions around 1940, and two surveys with many items were conducted to understand the actual detailed conditions of the houses existing in the “industrial cities” and “larger cities” where munitions industries were concentrated.

Ana – Maria TOMA, Irina IGNATESCU-MANEA, Oana NECULAI

This article describes a fun way to teach AutoCAD, including some of the commands in creating a fun, animated landscape. In this way, the students are able to pay attention to the presentation because the idea catches their eye, the drawing being fun, easy to fallow and giving them interesting ways to express themselves through AutoCAD 3D. The idea is to teach the students some of the commands, linking them together, by creating a story like animation, which takes the viewer from basics to more advance features of AutoCAD, both 2D and 3D.

Giuseppe Trinchese, Alessia Verniero, Gregorio García López de la Osa

The work presented aims to analyse the feasibility of reusing concrete, once demolished from a building in Tres Cantos in Madrid, to manufacture finishing materials for buildings, as well as to design a procedure. The first phase consists of a bibliographic search on the reuse of materials, analysing the techniques adopted so far and the lines of work. The second phase related to the acquisition of data related to the production and recycling of Construction and Demolition Waste (CDW) at a European level. The third phase consists of the study of recycled aggregates resulting from demolitions or landslides, their treatment process. The fourth and final phase consists of the development of a laboratory test plan to evaluate varied materials for finishing exterior cement pavements with concrete from the demolition of the case study building. There were many conclusions and results of the project. The granulometry of the fine fraction of demolished concrete is suitable to produce non-structural products, such as building finishes and in particular non-driveway outdoor flooring. In terms of flexural and compressive strength, the mechanical behaviour of recycled mixes is lower than that of reference mixes. The recycled mixes show slightly higher capillary absorption capacities than the reference mixes, and the value is higher the greater the percentage of recycled aggregates used (a critical issue which can be resolved by pre-saturating the recycled material).

Yuji Matsuda, Taketo Tobimatsu, Risa Fujii

Abstract Japan's group homes, where usually three to seven people with disabilities live in a community residence, are gradually increasing in number as a residence for persons with disabilities. However, it remains unclear what challenges exist in opening and operating such homes, and how the challenges differ depending on the type of resident disability. A questionnaire survey was administered among corporations operating group homes for persons with disabilities (GHD) in Japan's Kanto region regarding issues during opening and operation of GHDs, as well as the condition of the buildings. The results revealed the following issues. First, in metropolitan areas such as Tokyo, it is difficult to construct or lease a building with sufficient space. Second, GHDs, where people with intellectual disabilities live, are often positioned as permanent residences. Furthermore, in GHDs where the residents primarily have physically disabilities, it is often difficult to achieve sufficient floor space. In addition, in GHDs primarily housing people with mental disabilities, they are often positioned as temporary residences prior to living alone in apartments, etc., and understanding from neighborhood residents constitutes a major issue.

Cecilia Mazzoli, Caterina Morganti, Cristiana Bartolomei

The contribution outlines the typical elements of Chinese architecture, which combines the sophistication of technical and aesthetic details, and provides rules and criteria for the sizing and assembling standardized construction of different classes of buildings. These building elements are described in detail, through text and images, in the ancient manuals of Chinese architecture. The most significant document for its completeness and excellent state of preservation is entitled Yingzao Fashi: it was written by Li Chieh and published in 1103, after about thirty years of changes and integrations, and has been reissued several times over the centuries by different authors. This manual includes part of the contents of other earlier manuscripts, written since 700. It contains a set of guidelines resulting from the fusion of knowledge related to the theory and practice of building, respectively, transferred through theoretical texts and practical experiences. The contents of this important text were further developed and increasingly refined in other subsequent manuals (e.g., the Gongcheng Zuofa Zeli of 1734 and the Qing Shi Yingzao Zeli - Yingzao Suanli of 1934). The technical knowledge contained in these manuals allows the dissemination of down-handed practices to support the architects, artisans, and carpenters’ activity for constructing traditional works based on a wooden frame structure. The collection of drawings, tables, and rules elaborated over the centuries allows today a deeper comprehension of the genesis and evolution of the main construction elements of traditional Chinese buildings (foundations, beams, pillars, bracketing systems, roofing systems), enabling their analysis, recovery, and reconstruction. Thus, the contribution presents an overview of the important and complex theme of the transmission of technical knowledge in construction through manuals, based on research carried out at the Archive of the BnF - Bibliothèque nationale de France in Paris.

Sherlock A. Licorish, Christoph Treude, John Grundy et al.

Six months ago an important call was made for researchers globally to provide insights into the way Software Engineering is done in their region. Heeding this call we hereby outline the position Software Engineering in Australasia (New Zealand and Australia). This article first considers the software development methods practices and tools that are popular in the Australasian software engineering community. We then briefly review the particular strengths of software engineering researchers in Australasia. Finally we make an open call for collaborators by reflecting on our current position and identifying future opportunities

Cody Karcher, Robert Haimes

A method of Sequential Log-Convex Programming (SLCP) is constructed that exploits the log-convex structure present in many engineering design problems. The mathematical structure of Geometric Programming (GP) is combined with the ability of Sequential Quadratic Program (SQP) to accommodate a wide range of objective and constraint functions, resulting in a practical algorithm that can be adopted with little to no modification of existing design practices. Three test problems are considered to demonstrate the SLCP algorithm, comparing it with SQP and the modified Logspace Sequential Quadratic Programming (LSQP). In these cases, SLCP shows up to a 77% reduction in number of iterations compared to SQP, and an 11% reduction compared to LSQP. The airfoil analysis code XFOIL is integrated into one of the case studies to show how SLCP can be used to evolve the fidelity of design problems that have initially been modeled as GP compatible. Finally, a methodology for design based on GP and SLCP is briefly discussed.

Firuz Kamalov, Ho-Hon Leung

The rapid advances in technology over the last decade have significantly altered the nature of engineering knowledge and skills required in the modern industries. In response to the changing professional requirements, engineering institutions have updated their curriculum and pedagogical practices. However, most of the changes in the curriculum have been focused on the core engineering courses without much consideration for the auxiliary courses in mathematics and sciences. In this paper, we aim to propose a new, augmented mathematics curriculum aimed at meeting the requirements of the modern, technology-based engineering workplace. The proposed updates require minimal resources and can be seamlessly integrated into the existing curriculum.