Developments in the Built Environment最新文献

{"title":"Evaluation of the thermo-physic, acoustic, and mechanical performance of innovative hydrochar-modified plasters","authors":"Carolina Santini ,&nbsp;Claudia Fabiani ,&nbsp;Marco Barbanera ,&nbsp;Alessandro Cardarelli ,&nbsp;Stefano Agnetti ,&nbsp;Anna Laura Pisello","doi":"10.1016/j.dibe.2025.100627","DOIUrl":"10.1016/j.dibe.2025.100627","url":null,"abstract":"<div><div>This study investigates the integration of hydrochar, derived from municipal solid waste, into cement-lime-based plasters to enhance their thermo-acoustic and mechanical properties. The research begins by analyzing the thermo-physical properties of hydrochar, revealing its exceptional thermal stability exceeding 200 °C. The porous nature of hydrochar proves to be advantageous, positively impacting the thermal characteristics of the plasters. Notably, the innovative plaster exhibits a significant reduction in thermal conductivity, dropping from 1 Wm⁻²K⁻¹ to approximately 0.7 Wm⁻²K⁻¹. Despite a lower density of about 10% compared to the standard plaster, the hydrochar-modified plaster maintains good acoustic and mechanical performance. Transmission loss remains stable at 60 dB varying the thickness of the plaster while compressive and flexural strengths reduce by 2%, due to the higher percentage of water used (from 22% to 26%) to guarantee the same workability of the plasters and to distribute the hydrochar uniformly in the mix design.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100627"},"PeriodicalIF":6.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automating vertical bearing capacity calculations using python: Prompt engineering of ChatGPT on API RP 2A","authors":"Saeyon Kim,&nbsp;Donghwi Kim,&nbsp;Heejung Youn","doi":"10.1016/j.dibe.2025.100628","DOIUrl":"10.1016/j.dibe.2025.100628","url":null,"abstract":"<div><div>This study explores the application of ChatGPT by applying prompt engineering to enable the model to process a design standard documentation and generate computer code for calculating the vertical bearing capacity of piles. A framework is proposed for the prompt engineering of ChatGPT to compute the vertical bearing capacity according to API RP 2A and to generate Python code that complies with this standard. The research is structured into three key steps: providing geotechnical data, refining prompts to guide ChatGPT in processing the API methods for bearing capacity calculation and generating Python code to automate the calculations. Through iterative prompt refinement, the model's accuracy was improved, resulting in Python code that produced reliable outputs aligned with API RP 2A design criteria. In contrast, when ChatGPT performed the calculations directly without generating code, the results were less reliable, underscoring the value of ChatGPT-driven code generation for achieving accurate and consistent outcomes.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100628"},"PeriodicalIF":6.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability analysis-based life cycle assessment of railway components using long-term maintenance data","authors":"Koochul Ji ,&nbsp;Ilyoon Choi ,&nbsp;Jongmuk Won","doi":"10.1016/j.dibe.2025.100629","DOIUrl":"10.1016/j.dibe.2025.100629","url":null,"abstract":"<div><div>This study proposes a framework to evaluate the reliability of rail operation times and optimal maintenance intervals for sleepers and fasteners using a long-term maintenance database in South Korea. Additionally, the study investigates the effects of rail grinding and establishes optimal rail replacement intervals. It was found that the optimal maintenance interval of 2.04 and 2.36 months for fasteners and sleepers and optimal replacement interval of 89 months with griding interval of 10 months for rail would be recommended. It was also found that rail grinding reduces rail degradation rates and extends rail lifespan. In addition, reinforced concrete sleeper, concrete track bed (slab track), and straight rail track shows higher long-term durability than prestressed concrete sleeper, gravel ballast, and curved rail track. Overall, the proposed framework can provide data-driven cost-based optimization to determine the best maintenance strategies for long-term sustainable railway operation.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100629"},"PeriodicalIF":6.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic and operational construction logistics control tower","authors":"Rogier Harmelink ,&nbsp;Siem van Merrienboer ,&nbsp;Arjen Adriaanse ,&nbsp;Jos van Hillegersberg ,&nbsp;Engin Topan ,&nbsp;Ruben Vrijhoef","doi":"10.1016/j.dibe.2025.100625","DOIUrl":"10.1016/j.dibe.2025.100625","url":null,"abstract":"<div><div>Construction companies have issues meeting building demands, and supply chain management promises are only sometimes fully utilized in practice. This paper investigates an IT artefact called the Construction Logistics Control Tower (CLCT). A CLCT is a control tower artefact specifically focusing on optimizing construction logistics activities across the supply chain. We distinguish four potential construction logistics application fields and, therefore, describe four potential variants of the CLCT. We design and narrow down these alternatives by applying a form of co-creation in which stakeholders design and set requirements for the artefact of interest. Our goal is to develop a reference architecture for the strategic and operational form in Enterprise Architecture. We focus on a transportation-based CLCT, which has a strategic component, <em>i.e</em>., it predicts and manages long-term logistics activities regarding construction, and an operational one, <em>i.e</em>., it operationalizes and executes daily transportation processes to support construction activities. Our work provides a core enterprise architecture diagram describing this CLCT variant’s main functionalities. Next, we find that three key technologies need to be combined to realize such a system: Building Information Modelling, Geographic Information System and Transportation Management System. We discuss potential hurdles in the integration process and reflect on potential solutions. In the end, we envision that the construction of such a CLCT takes both a bottom-up and top-down approach but at least should be supported by a large consortium of stakeholders, constructing and supporting the system from their interests.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100625"},"PeriodicalIF":6.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainability assessment of logistics halls","authors":"Alexandra Weniger ,&nbsp;Julian Frede ,&nbsp;Laura Schmidt ,&nbsp;Leonie Hartmann ,&nbsp;Marzia Traverso","doi":"10.1016/j.dibe.2025.100622","DOIUrl":"10.1016/j.dibe.2025.100622","url":null,"abstract":"<div><div>Research objective of this study is to create a framework for assessing the environmental and social sustainability of logistics halls. The goal is to determine which sustainability issues and indicators are particularly relevant for managing the best possible environmental and social balance of a logistics hall. A literature review assesses the current state of the art in Life Cycle Sustainability Assessments. Furthermore, a Social Hotspot Database screening and the Real Estate Impact Analysis Tool of the UNEP are utilized to fulfill relevant social categories. The collected data is summarized in a guideline for social and environmental life cycle assessments following the four-phase structure defined in ISO 14040/14044. To finalize the study, an exemplary case study conducting an environmental and social sustainability assessment of a logistics hall in Germany is carried out. The results provide valuable insights for future sustainability assessments of logistics halls and utilization of the developed framework.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100622"},"PeriodicalIF":6.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generation of cement paste microstructure using machine learning models","authors":"Minfei Liang ,&nbsp;Kun Feng ,&nbsp;Shan He ,&nbsp;Yidong Gan ,&nbsp;Yu Zhang ,&nbsp;Erik Schlangen ,&nbsp;Branko Šavija","doi":"10.1016/j.dibe.2025.100624","DOIUrl":"10.1016/j.dibe.2025.100624","url":null,"abstract":"<div><div>The microstructure of cement paste determines the overall performance of concrete and therefore obtaining the microstructure is an essential step in concrete studies. Traditional methods to obtain the microstructure, such as scanning electron microscopy (SEM) and X-ray computed tomography (XCT), are time-consuming and expensive. Herein we propose using Denoising Diffusion Probabilistic Models (DDPM) to synthesize realistic microstructures of cement paste. A DDPM with a U-Net architecture is employed to generate high-fidelity microstructure images that closely resemble those derived from SEM. The synthesized images are subjected to comprehensive image analysis, phase segmentation, and micromechanical analysis to validate their accuracy. Findings demonstrate that DDPM-generated microstructures not only visually match the original microstructures but also exhibit similar greyscale statistics, phase assemblage, phase connectivity, and micromechanical properties. This approach offers a cost-effective and efficient alternative for generating microstructure data, facilitating advanced multiscale computational studies of cement paste properties.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100624"},"PeriodicalIF":6.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the flowability and non-linear rheological properties in alkali-activated concretes","authors":"Jian Zhang ,&nbsp;Zhenming Li ,&nbsp;Wentao Wang ,&nbsp;Yaxin Tao ,&nbsp;Yubo Sun ,&nbsp;Xiangsheng Chen","doi":"10.1016/j.dibe.2025.100623","DOIUrl":"10.1016/j.dibe.2025.100623","url":null,"abstract":"<div><div>Alkali-activated materials (AAMs) emerge as a sustainable alternative to Portland cement binders. Despite their potential, the rheological properties of alkali-activated concrete, particularly their non-linear behaviors, remain underexplored. To bridge this gap, a comparative study was conducted to examine the flow characteristics and shear thinning/thickening tendencies of alkali-activated slag (AAS) concrete. The research began with a detailed evaluation of the setting times of AAS mixtures, optimizing activator compositions to identify formulations suitable for concrete productions. Employing the Bingham and Herschel-Bulkley models, it was observed that AAS concrete with a lower silicate modulus (Ms) predominantly exhibited shear-thinning behavior. As the Ms increased, a shift toward shear-thickening behavior occurred, becoming more pronounced with higher concentrations of alkaline compounds in the activators. Furthermore, the fresh properties of AAS concrete significantly improved with increased alkali dosages in the activators, resulting in reduced dynamic yield stress and plastic viscosity, along with enhanced workability retention over time.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100623"},"PeriodicalIF":6.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bias-aware degradation models for reinforced concrete bridges based on XAI","authors":"Francesca Marsili ,&nbsp;Filippo Landi ,&nbsp;Rade Hajdin ,&nbsp;Sylvia Kessler","doi":"10.1016/j.dibe.2025.100617","DOIUrl":"10.1016/j.dibe.2025.100617","url":null,"abstract":"<div><div>Bridge management systems store condition data collected during visual inspections of bridges. However, rapidly evolving damage on older bridges still in operation was repaired before it could be documented in these databases, which were developed only 30 to 40 years ago. As a result, condition data is affected by survivorship bias. This work addresses this issue by developing a composite analysis based on explainable artificial intelligence techniques to analyze condition data and derive degradation models for existing bridge components. The analysis comprises four steps: (1) cluster analysis of damage transition times using the k-means algorithm to identify damage patterns with similar damage evolution rates (fast, normal, slow, corresponding to bridge components with a fragile, normal, and robust deterioration behavior); (2) Random Forest classification to predict the cluster based on bridge inventory data; (3) SHAP analysis to explain the predictions of the Random Forest classifier; (4) application of the gamma process to the grouped damage transition times to assess damage evolution. SHAP analysis reveals survivorship bias, indicating that fast-evolving damages primarily affect newly built bridges, while slow-evolving damages are associated with older bridges. By clarifying the composition of the clusters and the population of bridges to which the damage belongs, SHAP analysis also enables the development of bias-aware degradation models. The approach is demonstrated through the analysis of crack evolution in reinforced concrete bridges in Germany.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100617"},"PeriodicalIF":6.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the digital transformation of AEC industry: Content analysis of digital public policy in China","authors":"Yumiao Yang ,&nbsp;Sujuan Zhang ,&nbsp;Yuanyuan Hua ,&nbsp;Hua Wang","doi":"10.1016/j.dibe.2025.100621","DOIUrl":"10.1016/j.dibe.2025.100621","url":null,"abstract":"<div><div>Governments arounds the world are relying on digital policies as a strategic tool to promote digital transformation objectives within the society. This study aims to investigate the evolutionary patterns and trends of China's digital public policies in the architectural, engineering, and construction (AEC) industry. Based on the policy instrument theory, the study develops a three-dimensional analysis framework of “policy topic - policy instrument - stakeholder” to analyze digital public policies. A total number of 56 policies, issued by the central government from 2001 to 2023 in China, were selected as data for content analysis. Using the Dynamic Topic Modeling, six main topics were identified from the texts: informatization development, smart construction, construction industrialization, BIM technology application, prefabricated building, and digital workforce. The results indicate that environment instruments have become central tools for the government to promote digital transformation. Stakeholders involved in digital public policies have remained relatively stable, with the government as the primary actor. The study sheds lights on the evolutionary path of digital public policies within the AEC industry in China. The findings provide a reference for digital policy improvement in the AEC industry and policy formulation in other developing countries for digital transformation.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100621"},"PeriodicalIF":6.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Behavioral analysis of steel I-beams under repeated dynamic loads: Impact of various impactor head types","authors":"Zeynep Yaman ,&nbsp;Yusuf Sümer ,&nbsp;Elif Ağcakoca ,&nbsp;Mahyar Maali ,&nbsp;Abdulkadir Cüneyt Aydın","doi":"10.1016/j.dibe.2025.100620","DOIUrl":"10.1016/j.dibe.2025.100620","url":null,"abstract":"<div><div>The dynamic loadings to which the structural element is repeatedly exposed cause more damage due to the fatigue effect. In this article, the damage cases formed under the effect of the impact load acting on the weak axis of I-section steel beams under repeated impact loads are investigated and the effect of the geometric shape of the falling weight on the element behavior is evaluated by experimental and numerical methods. A 2000 mm long IPE160 section simply supported beam is subjected to impact load in the weak axis direction. The 100 kg impact load is applied from a height of 2200 mm with a hammer head having three different geometric shapes (rectangular, circular and triangular). Three-dimensional finite element models of the 6 experimental studies were analyzed using Abaqus Explicit software. In order to determine the effect of the geometric shape of the falling weight on the beam behavior under the effect of repeated load; five parameters such as displacement, acceleration, support reaction, stress distribution and plastic strain were investigated. The displacement, acceleration and support reaction formed in the beams were numerically investigated by means of finite element models and compared with the experimental results. The results obtained showed that the maximum deflection and acceleration occurred in the beams hit by the triangle-headed impact crusher. In addition, the largest plastic deformation and stress distribution were observed in the tests performed using triangle-headed impact crushers. In the series I (rectangular), II (circular), III (triangular) test series, the displacement value increased by 44%, 79% and 100%, respectively, compared to the first impact. It is seen that the 2nd degree effects play an important role in the increase of the damage level in the second impacts. It was determined that the maximum reaction force tended to increase from Series I to Series III. This shows that reducing the contact area of the falling weight significantly increases the reaction forces.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100620"},"PeriodicalIF":6.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}