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International Conference of Sustainable Development and Smart Built Environments, SDSBE 2024

作者： Alizadehsalehi, Sepehr Hadavi, Ahmad Project Management Program Northwestern University EvanstonIL United States Department of Civil and Environmental Engineering Northwestern University EvanstonIL United States

ISBN: (纸本)9789819640508

The Architecture, engineering, and Construction (AEC) industry will benefit significantly from integrating Artificial Intelligence (AI) and Extended Reality (XR) technologies. This paper explores the immense potential of AI-enhanced XR in tackling the industry challenges. While AI and XR are currently employed independently, this paper proposes a framework for their integration, aiming to optimize resource allocation, elevate safety protocols, and enhance project accuracy. Supported by a SWOT analysis, the study presents practical implications and proposed use cases showcasing the application of AI and XR in AEC projects. The paper provides a strategic roadmap for integrating AI-driven XR, emphasizing its potential to drive immediate and sustainable advancements in construction practices and set new industry benchmarks for innovation and efficiency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： project management

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Parallelization Strategies for Hierarchical Density-Based Clustering Algorithm Using OpenMP for Scan-To-BIM Applications

Parallelization Strategies for Hierarchical Density-Based Cl...

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Annual Conference of the Canadian Society of Civil engineering, CSCE 2021

作者： Ma, J. Leite, F. Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin United States

ISBN: (纸本)9789811909672

Clustering is an unsupervised learning method that provides insights by investigating unknown structures in a dataset without exploiting any ground truth target information. For constructing an as-built Building Information Models (BIM) from captured laser-scanned datasets, the segmentation process precedes modeling, which provides a baseline to be traced for obtaining 3D models from point clouds. For the segmentation process, a clustering algorithm can be effectively applied so that it can group the points having similar features without predefined criteria which, in turn, segments can be easily separated from the entire scene. Amongst various types of clustering algorithms, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) was developed as a density-based and hierarchical clustering algorithm which provides a simplified tree of significant clusters. This algorithm has several distinct advantages over other clustering algorithms: (1) avoids "flat" (i.e. non-hierarchical) labeling of data objects, (2) automatically simplifies the hierarchy into the most significant clusters, and (3) requires a single input parameter (i.e. minimum number of points) for density threshold. However, this algorithm has an overall computation time complexity represented as a quadratic form (i.e., O (dn2) ) which suffers from the computational efficiency issue especially for massive amounts of data such as those found in 3D point clouds. To ease the applicability of HDBSCAN to Scan-to-BIM applications, this research aims to parallelize major time-consuming components of HDBSCAN algorithm. OpenMP interface was adopted for thread parallelization and parallel efficiency was measured by calculating speedup and efficiency from strong and weak scaling results. © 2023, Canadian Society for Civil engineering.

关键词： Clustering algorithms

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Enhancing Public Engagement in Sustainable Systems through Augmented Reality 41

Enhancing Public Engagement in Sustainable Systems through A...

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41st International Symposium on Automation and Robotics in Construction, ISARC 2024

作者： Lee, Yu-Chen Alsuhaibani, Abdullah Cheng, Chih-Shen Leite, Fernanda Sustainable Systems Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Civil Engineering and Project Management Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Civil Engineering and Project Management Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Dean for Research Cockrell School of Engineering Joe J. King Professor in the Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States

ISBN: (纸本)9780645832211

The sustainability of building infrastructure has been a growing critical global concern. However, stakeholders often overlook the sustainability aspect of systems in their everyday lives. This paper presents an exploration of the potential of augmented reality (AR) technology as a tool for enhancing public engagement around sustainable systems in buildings. We introduce an innovative approach to address the challenge of gap between sustainable infrastructure and user awareness. Through data collection such as access counts, usage duration, and user feedback, we can evaluate the effectiveness of AR applications in improving awareness and engagement in sustainability. This study illustrates how AR technology can facilitate a deeper connection between the public and sustainable systems, thus paving the way for a more environmentally friendly society. © 2024 ISARC. All Rights Reserved.

关键词： Sustainable development

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Modeling projects for the Creation of Technically Complex Products 8

Modeling Projects for the Creation of Technically Complex Pr...

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8th IEEE International Conference on Industrial engineering and Applications, ICIEA 2021

作者： Mustaev, Irek Semivelitchenko, Evgeniy Maximova, Natalia Ivanov, Vladimir Mustaev, Timur Mustaeva, Diana Usatu Department of Innovation Management Ufa Russia UEC-UMPO Department of Program and Project Management Ufa Russia Dba Engineering Llc Ufa Russia

ISBN: (纸本)9781665428958

The article describes the elements of sociophysical approach used for modeling projects of creating complex technical objects and decision making with it. The proposed approach allows taking into account the individual economic, social, and technological characteristics of the enterprise and the technical characteristics of the objects being created. The sociophysical approach has an advantage in comparison with the approach focused on assessing the present value of the project and can be used for studing and creating control systems with long-life cycle. It is shown that the application of the sociophysical approach opens the way to solving the problems of finding reliable interpretable solutions at all stages of the life cycle of an innovative project. The terminology used in the sociophysical modeling of enterprises and projects is given. Within the framework of sociophysical modeling the structure of sociophysical models of enterprises and projects is disclosed. The definition of the technological level of the enterprise as a sociophysical category is given. Two models of projects implemented at the enterprise are presented. First model-is a model with technological level save. Second model is a model with technological level change. A graphic illustration is given. Some calculation results confirming the efficiency of using the accumulated potentials are presented. © 2021 IEEE.

关键词： Decision making

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Quantifying Construction and Demolition Waste Using SLAM-Based Mobile Mapping System: A Case Study from Kafr El Sheikh, Egypt

Quantifying Construction and Demolition Waste Using SLAM-Bas...

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2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021

作者： Attia, Tarek Elshaboury, Nehal Hesham, Amr Elhadary, Mohamed Construction and Project Management Research Institute Housing and Building National Research Centre Giza Egypt Construction Engineering Management Program Arab Academy for Science Technology Maritime Transport Giza Egypt

ISBN: (纸本)9781665416566

The quantities of construction and demolition waste (CDW) have significantly augmented due to rapid urbanization in Egyptian cities. This waste stream threatens public health and the environment. Quantifying waste is considered aCDW in Kafr El Sheikh Governorate, Egypt. The results show that the quantity of CDW in the study areas is estimated to be 19,174.071 cubic meters. The proposed methodology could be further extended in other Egyptian governorates facing the same challenges of data unavailability. This research provides the government bodies, policymakers, investors, demolition engineers, and researchers with reliable estimates of CDW quantities. © 2021 IEEE.

关键词： Demolition

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Construction Research Congress 2022

Construction Research Congress 2022

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Construction Research Congress 2022: Health and Safety, Workforce, and Education, CRC 2022

作者： Celoza, Amelia Leite, Fernanda De Oliveira, Daniel P. Construction Industry Institute AustinTX United States John A. Focht Centennial Teaching Fellowship in Civil Engineering Construction Engineering and Project Management Program Dept. of Civil Architectural AustinTX United States Funded Studies Construction Industry Institute AustinTX United States

ISBN: (纸本)9780784483985

The Construction Industry Institute (CII) is a research and development organization that focuses on the capital projects industry. With over 38 years of research, CII is a leader in the construction engineering and management (CEM) field. The objective of this research was to evaluate the impact of CII's research publications on recent construction engineering and management academic publications. Researchers utilized Google Scholar to identify academic publications that cited CII. Data were collected for the time range between August 2018 and August 2021, yielding a dataset of 354 academic publications and over 500 citations to CII research publications. Analysis identified "Constructability: A Primer" as the most frequently cited research publication in this dataset. Additionally, front end planning, constructability, and planning for modularization were the top cited CII Best Practices. These findings indicate the popularity of the front end planning and constructability best practices among CII's research publications. In addition to identifying the most frequently cited publications and best practices, there was also a gap with respect to publication citations related to strong areas of interest from the industry, such as advanced work packaging (AWP) and technology. These gaps identify some of the many opportunities for future research and development within the capital projects industry. Overall, CII's research has disseminated into broader CEM research and their future-looking research outlook drives the capital projects industry forward as it tackles more uncertainty and new challenges. © 2022 ASCE.

关键词： Modular construction

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Towards Circular Economy in the Built Environment: Overcoming Obsolescence Via Building Adaptation

SSRN

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SSRN 2023年

作者： Eliote, Guilherme Monteiro Leite, Fernanda Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States John A. Focht Centennial Teaching Fellow in Civil Engineering Construction Engineering and Project Management Program Sustainable Systems Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States

Every year, buildings undergo services of adaptation to account for changes in users’ needs, deterioration, code updates, among others. This process, also called building obsolescence, is inevitable and most of these buildings lack a proactive adaptation plan. New buildings, however, can be designed to be more resilient when dealing with obsolescence by leveraging circular economy principles. The understanding of building obsolescence is crucial since they are the triggers of a process of adaptation. Studies have investigated different types of building obsolescence but have not focused on specific causes. Through qualitative analysis of interviews, we identified challenges faced by Architecture, engineering, and Construction professionals in the building adaptation process. Recommendations to tackle these challenges were given, including the selection of durable materials, overdesign of key elements, design for disassembly, and use of modular systems. The research findings can help planners avoid common issues that harm the building adaptation process. © 2023, The Authors. All rights reserved.

关键词： Obsolescence

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Towards Circular Economy in the Built Environment: Overcoming Obsolescence Via Building Adaptation

SSRN

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SSRN 2022年

作者： Eliote, Guilherme Monteiro Leite, Fernanda Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States Construction Engineering and Project Management Program Sustainable Systems Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States

关键词： Obsolescence

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Insights on the irrigation conveyance efficiency of three canal systems for improving agricultural sustainability in Sri Lanka

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Water Supply 2025年第5期25卷 807-824页

作者： Harindu S. Sumanasekara Ananda Jayasinghe Anjana B. Herath Kushan D. Siriwardhana Indra L. Imbulana Kithsiri Mullegamgoda Ruchiru Herath Ganila Paranavithana Upaka Rathnayake Irrigation Department Regional Integrated Multi-Hazard Early Warning System (RIMES) – Sri Lanka National Centre for Climate Applications (SNCCA) Colombo 07 Sri Lanka Improving System Efficiencies and Water Productivity Project Mahaweli Water Security Investment Program Colombo 10 Sri Lanka Engineering and Design Center Faculty of Engineering University of Peradeniya Peradeniya 20400 Sri Lanka Water Resources Management and Soft Computing Research Laboratory Millennium City Athurugiriya 10150 Sri Lanka Department of Civil Engineering Faculty of Engineering Technology The Open University of Sri Lanka Nugegoda 10250 Sri Lanka Department of Civil Engineering and Construction Faculty of Engineering and Design Atlantic Technological University Sligo F91 YW50 Ireland

System conveyance efficiency of the canals is highly important in planning new irrigation development schemes. Enhancing the efficiencies directly influences sustainable agricultural practices. This study, conducted in 2022–2023, assessed conveyance losses in three major irrigation schemes in Sri Lanka: Maduru Oya, Hurulu Wewa, and Minipe Left Bank Canal. The research aimed to quantify current conveyance losses and identify factors influencing efficiency to inform rehabilitation efforts. Field measurements were taken using the float method to determine flow rates at multiple points along selected canals. Conveyance losses were calculated as the percentage difference in flow between measurement points. Results showed significant variations in losses across the three systems: Maduru Oya averaged 27.8% (standard deviation (SD) = 6.03%), Hurulu Wewa 26.5% (SD = 20.4%), and Minipe Left Bank Canal 33.1% (SD = 15.4%) for the D47 canal and 27.7% (SD = 23.7%) for the D32 canal. Factors observed to influence conveyance losses included canal lining condition, soil texture, and topographical features such as elevation differences between drainage and field canals. The study concludes that targeted rehabilitation efforts, particularly increased lining in high-loss areas and improved maintenance in tail-end sections, could substantially improve system efficiency. These findings provide crucial data for irrigation planners and policymakers in Sri Lankan agriculture. © 2025 The Authors.

关键词： conveyance losses irrigation conveyance efficiency soil infiltration sustainable water management

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Energy consumption of high-rise double skin façade buildings, a machine learning analysis

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Journal of Building engineering 2024年 89卷

作者： Rezaie, Maedeh Kariminia, Shahab Band, Shahab S. Ameri, Rasoul Farokhi, Maryam Pai, Hao-Ting Gocer, Ozgur Rismanchi, Behzad Shooshtarian, Salman Department of Architecture Advancement in Architecture and Urban Planning Research Center Najafabad Branch Islamic Azad University Najafabad Iran Future Technology Research Center National Yunlin University of Science and Technology Douliu Taiwan Department of Information Management International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Information Management National Yunlin University of Science and Technology Taiwan Bachelor Program of Big Data Applications in Business National Pingtung University Pingtung Taiwan School of Architecture Design and Planning The University of Sydney SydneyNSW Australia Renewable Energy and Energy Efficiency Group Department of Infrastructure Engineering Faculty of Engineering and Information Technology The University of Melbourne Australia School of Property Construction and Project Management RMIT University Melbourne Australia

Most energy exchanges take place through the building skin. The skin characteristics play a decisive role in the extent of these exchanges, but they are somewhat more varied in the double skin façade (DSF). Among these characteristics, cavity segmentation has a noticeable effect on the implementation of the DSF in different directions during the hot and cold seasons. The aim of this study was to investigate the role of DSF segmentation in energy consumption and natural ventilation of high-rise buildings in hot and dry climates. This study used DesignBuilder software to study sixty-four segmentation component scenarios in an eight-story residential building in Isfahan, Iran. Moreover, a proposed hybrid model utilizing the hybridization of the Hunger Game Search and Gradient Boosting (HGS-GB) algorithm was employed to estimate energy consumption in various scenarios involving lighting, heating, cooling, and total scenarios. The available outcomes revealed that the HGS-GB model had a better performance in comparison with other individual models, such as Gradient Boosting (GB), Random Forest (RF), and K-nearest neighbors (KNN). The R2 values for lighting, heating, cooling, and total energy estimation were 0.9993, 0.9958, 0.9991, and 0.9922, respectively. The findings of this study suggest the significance of DSF segmentation in energy consumption and natural ventilation in high-rise buildings in hot and dry climates. © 2024 Elsevier Ltd

关键词： Forestry

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