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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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Scenario Generation for Built Environment Decision Support under Uncertainty: Case Studies of Airflow Modeling and Climate-Resilient Infrastructure System Design

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Journal of Computing in civil engineering 2025年第4期39卷

作者： Luo, Linchao Cheng, Chih-Shen Mobley, William Novoselac, Atila Lieberknecht, Katherine Leite, Fernanda Civil Engineering and Project Management Program Dept. of Civil Architectural Environmental Engineering Univ. of Texas at Austin AustinTX78712 United States Texas Advanced Computing Center Univ. of Texas at Austin AustinTX78712 United States Robert and Francis Stark Centennial Fellowship in Engineering Dept. of Civil Architectural Environmental Engineering Univ. of Texas at Austin AustinTX78712 United States School of Architecture Univ. of Texas at Austin AustinTX78712 United States Cockrell School of Engineering Joe J. King in Civil Architectural Environmental Engineering Univ. of Texas at Austin AustinTX78712 United States

When confronted with unforeseen challenges, practicing informed decision making is crucial for enhancing resilience in the built environment. While scan-to-building information modeling (BIM) is a well-established approach for creating detailed digital representations of physical assets, its application in assessing and improving infrastructure resilience remains underexplored. This study addresses this gap by proposing a novel application of scan-to-BIM, namely, scan-to-BIM-to-digital twin (S-BIM-DT) workflow. By integrating reality capture and digital twin technologies, this workflow creates continuously updated and accurate digital representations of physical assets, enabling the generation of various scenarios. Unlike traditional methods, the S-BIM-DT workflow facilitates continuous model refinement, supporting informed resilience strategies. By combining these technologies into a cohesive process, the workflow facilitates decision making under uncertainty, enabling stakeholders to evaluate and respond to various scenarios effectively. We demonstrate the implementation of the S-BIM-DT workflow through two use cases that highlight its capability to enhance resilience at different scales. The first use case involves the Combined Transportation, Emergency, and Communications Center (CTECC) in Austin, Texas. BIM-enriched computational fluid dynamics (CFD) modeling simulates airflow and develops alternative scenarios for optimizing the heating, ventilation, and air conditioning (HVAC) systems. This approach enhances resilience against airborne health threats in a postCOVID context. The second use case focuses on designated areas within Beaumont, Texas, as part of the Southeast Texas Urban Integrated Field Laboratory (SETx-UIFL) research. By developing inundation maps to assess extreme weather events, this modeling aids in preparedness efforts and informs the development of climate-resilient infrastructure in vulnerable neighborhoods. Results indicate that the S-BIM-D

关键词： Binary codes

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Land-use analysis using infrastructure representations and high-resolution flood inundation mapping techniques

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International Journal of Disaster Risk Reduction 2025年 123卷

作者： Murphy, Sean Wang, Mark Cheng, Chih-Shen Passalacqua, Paola Leite, Fernanda Kumar Construction Engineering and Project Management Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin TX United States Center for Water and the Environment Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin TX United States Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin TX United States Dept. of Earth and Planetary Sciences The University of Texas at Austin Austin TX United States Cockrell School of Engineering Joe J. King Professor in Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin TX United States

In the face of climate change and population growth in coastal regions, land-use analysis efforts are more challenging than ever. Land-use decision-makers in coastal communities are burdened with the difficult choices of where to place new homes versus other assets. While there has been an increased focus on hazard mitigation and disaster resilience in the field of planning, evidence points towards continued development in risk-prone areas including flood zones. Residential development within flood zones specifically continues to be a major issue. To help counter this trend, this study introduces a novel land-use analysis method, coupling topographic flood inundation mapping techniques with digital elevation model (DEM) adaptations. This Topographic Model Scenario Generation workflow can be used by planners early in the land-use decision making process and provides an alternative to high-computational hydraulic models. The analysis also includes the identification of strengths and weaknesses of topographic models' recognition of built infrastructure assets, adding to a limited body of knowledge addressing recommended uses of such models. Levees and canals prove particularly functional in this context while detention ponds less so, likely due to a lack of total water mass accountability. Finally, we provide a functional demonstration in Southeast Texas to illustrate the workflow's ability to create multiple infrastructure scenarios and visualize their effects across different flood events. © 2025 Elsevier Ltd

关键词： Flood risk management GeoFlood HAND Land use analysis Topographic flood models

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Towards a scale free network approach to study organizational communication network

Towards a scale free network approach to study organizationa...

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14th Pacific Asia Conference on Information Systems, PACIS 2010

作者： Uddin, Mohammed Murshed, Shahriar Tanvir Hasan Hossain, Liaquat Project Management Graduate Program School of Civil Engineering University of Sydney Sydney Australia

In this experiment, we study the scale free network property of an organizational communication network. We used social network analysis methods during organizational crisis period that captures the dynamics of communication networks. We did not find any significant fluctuation between the actor prominence in daily and aggregated networks. We found that email communication network displays a high degree of scale free behavior described by power law.

关键词： Telecommunication networks

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A multiobjective optimization model for project selection with probabilistic considerations

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Socio-Economic Planning Sciences 2006年第4期40卷 297-313页

作者： Gabriel, Steven A. Kumar, Satheesh Ordóñez, Javier Nasserian, Amirali Project Management Program Department of Civil and Environmental Engineering University of Maryland College Park MD 20742 United States

When faced with limited resources, project managers must determine which projects to fund at what levels from a pool of potential ones. This problem of project selection is inherently multiobjective since various factors, such as the available budget, the chance of success, and the efficient allocation of the project team, must be considered simultaneously. The uncertainty of the data at the time decisions are made further complicates project selection. In this paper, a multiobjective, integer-constrained optimization model with competing objectives for project selection is formulated using probability distributions to describe costs. The objectives correspond to important project criteria, such as: rank (value), managerial labor needed, and average cost. The subjective rank is determined via the Analytic Hierarchy Process. The model is applied to a data set from a US government agency that involves 84 separate projects. The results indicate improved budgetary efficiency compared to the actual project selection, thus supporting use of the model for public sector project selection. The model is unique since it integrates multiobjective optimization, Monte Carlo simulation, and the Analytic Hierarchy Process. © 2005 Elsevier Ltd. All rights reserved.

关键词： Multi-criteria decision-making Optimization project risk management project selection Systems approach

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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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Virtual reality for design and construction education environment

Virtual reality for design and construction education enviro...

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Architectural engineering National Conference 2019: Integrated Building Solutions - The National Agenda, AEI 2019

作者： Alizadehsalehi, Sepehr Hadavi, Ahmad Huang, Joseph Chuenhuei Project Management Program Dept. of Civil and Environmental Engineering Northwestern Univ. EvanstonIL United States

ISBN: (数字)9780784482261

ISBN: (纸本)9780784482261

In the last few years, the application of VR has exponentially grown to give visually large field-of-view from planning to execution stages of any types of civil infrastructure systems. Handling the complexity and uncertainty of construction projects, however, requires well-prepared architects and engineers. Architecture and civil engineering students are also expected to go through the proper training to be well-equipped for this challenge. VR has proved a helpful tool for architecture, engineering, and construction (AEC) education environments with the aim to leave a lasting impact on a student's learning and experience. The purpose of this paper is to provide a brief review of the most recent VR systems in the design and construction industry and the education environment. The paper also evaluates the use of VR in a two-pronged approach by conducting a comprehensive literature review and interviewing students in the master of project management (MPM) program. This paper could provide a roadmap for future efforts to implement VR into the architectural and construction industry as well as the education environment. © 2019 American Society of civil Engineers.

关键词： Construction industry

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'Poka yoke' or quality by mistake proofing design and construction systems

'Poka yoke' or quality by mistake proofing design and constr...

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16th Annual Conference of the International Group for Lean Construction, IGLC16

作者： Tommelein, Iris D. Project Production Systems Laboratory United States Engineering and Project Management Program Civil and Environmental Engineering Department University of California Berkeley CA 94720-1712 United States

ISBN: (纸本)9781905732456

The Japanese concept 'poka yoke', translated into English as 'mistake proofing,' has been mentioned at previous IGLC conferences. This notwithstanding, mistake proofing appears to not have been (nor be) systematically researched or practiced in the lean construction community. To raise awareness of opportunities provided by thinking with mistake proofing in mind as a means to build quality into project delivery, this paper summarizes the philosophy that underlies mistake proofing. Examples illustrate how mistake proofing applies to the work done within one specialty trade, how manufacturers and fabricators can design their products so they cannot be constructed defectively, and how architects and engineers may conceive of system designs that are less likely to fail during construction or in a product's life cycle. Reader contributions to an online repository of mistake proofing applications in the architecture-engineering-construction (AEC) industry, posted at http://***/pokayoke/, will be gratefully acknowledged.

关键词： Image quality

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Identification of late deliverables and their true effects on industrial construction projects

Identification of late deliverables and their true effects o...

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2014 Construction Research Congress: Construction in a Global Network, CRC 2014

作者： Barry, William Leite, Fernanda O'Brien, William J. Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering University of Texas at Austin Austin TX 78712 United States

ISBN: (纸本)9780784413517

Given that a construction site is both temporary and unique, the outcome of every construction project is dependent on having all of the proper resources delivered to the site at the appropriate time. Although construction supply chains, logistics, and materials management systems have been scrutinized in recent years, the full range of potential late deliverables has not yet been investigated. Further, the true effects of these late deliverables are much more far-reaching and less understood. This paper, part of a larger research project being developed by the Construction Industry Institute Research Team 300, describes the process followed to list and categorize common late deliverables to industrial construction sites using team knowledge, expert interviews, industry surveys, and indepth case studies, as well as a review of the existing literature on the topic. This information will serve as a starting point for an investigation into how these late deliverables affect the cost, schedule, quality, and safety performance of construction projects along with the effects on the organizations involved. The enumeration and classification of these project effects incorporating the perspectives of both owners and contractors, are also described in this paper. © 2014 American Society of civil Engineers.

关键词： Construction industry

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Immigration and the construction industry: Effects of immigrant hiring practices and pending immigration reform legislation on construction industry economics in the United States

Immigration and the construction industry: Effects of immigr...

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25th Inaugural Construction management and Economics: 'Past, Present and Future' Conference, CME 2007

作者： Golden, Sabrina K. Skibniewski, Miroslaw J. Project Management Program Department of Civil and Environmental Engineering University of Maryland College Park MD 20742-3021 United States

ISBN: (纸本)9780415460590

Current estimates indicate an illegal immigrant population of over 11 million residing in the United States;an estimated 19% of this total works in the construction industry. There are several draft bills currently making their way through the US federal legislative process. All of them tighten immigration rules and enforcement, which will ultimately affect the available immigrant workforce. Enforcement of current law will no doubt have a measurable impact on the availability of illegal immigrant workers. Amnesty or some version of a "guest-worker" program would also have a significant impact on the immigrant workforce. Regardless of the scope and breadth of immigration reform, there will be a considerable impact on labour resources for the construction industry. The research will analyse the current hiring practices of immigrants within the construction industry and predict the effects of impending immigration reform on industry economics. Initial predictions of the direction of immigration reform indicate that labour shortages are unlikely;however, increased labour costs are likely due to a prevailing wage provision in the proposed law. Increased costs of around 1% are predicted for projects in the DC metro region.

关键词： Construction industry

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