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检索条件"丛书名=Lecture Notes in Civil Engineering"

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HBIM for Historic Concrete Buildings: Benefits of Documentation and Analysis for Historic Preservation 20th

HBIM for Historic Concrete Buildings: Benefits of Documentat...

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20th International Conference on Computing in civil and Building engineering-ICCCBE

作者： Sowder, Anne Marie Issa, Raja R. A. CUNY City Tech Dept Construct Management & Civil Engn Brooklyn NY 11201 USA Univ Florida ME Rinker Sr Gainesville FL 32611 USA

ISBN: (纸本)9783031842108;9783031842085;9783031842078

Research approaches that complement historical contextualization of buildings with the creation of 3D models result in data-rich visualizations that represent built projects holistically rather than just as static drawings or collections of components, thus generating new avenues for the documentation and analysis of historic structures. Using Historic Building Information Modeling (HBIM) to derive basic data on materials and quantities not only documents existing conditions but uncovers new information as the model becomes a receptacle for the historical, analytical, and physical property data. Paired with a point cloud model, HBIM works as well for as-built discovery as it does as a tool for design and construction due to the inclusion in models of attribute data important to the study and maintenance of historically significant buildings and monuments. As a result, HBIM is an increasingly popular tool in cultural heritage communities for its application to historic preservation. These digital techniques make the large amounts of data collected in research on historic buildings readable to information systems, increasing the value of the data. The research workflow described in this paper includes the capture and digitization of existing buildings in their as-built condition through 3D laser scanning, modeling in 3D, and the identification and quantification of building materials. Applying this approach to simple concrete bungalow structures built during 1935-36 in the upper Florida Keys reveals that even in a case where project elements are not complex, documenting as-built conditions helps reveal information about the delivery of the project that will be relevant to their preservation. This study expands on previous research by the author relating to the construction of historic concrete houses in Florida and on the logistical and organizational background of the building effort.

关键词： HBIM Historic Preservation Concrete Construction

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A Framework of ifcJSON-Based Digital Twin Platform for Monitoring Building Environment Using BIM, IoT, and Semantic Web Technologies 20th

A Framework of ifcJSON-Based Digital Twin Platform for Monit...

引用

20th International Conference on Computing in civil and Building engineering-ICCCBE

作者： Chung, Jihoon Shelden, Dennis Rensselaer Polytech Inst Sch Architecture Troy NY 12180 USA

ISBN: (纸本)9783031842108;9783031842085;9783031842078

Over the past two decades, Building Information Modeling (BIM) has evolved into a multidisciplinary data repository in the Architecture, engineering, and Construction sectors. This high-fidelity repository, compiled during the design, engineering, and construction phases, has significant potential for reuse in subsequent operation and maintenance phases;however, its static nature of the information is rarely utilized for facility management purposes. To address this issue, recent research works have focused on integrating BIM with Internet of Things (IoT) sensors to facilitate real-time updates of environmental or facility-related information for digital twin paradigm. Nevertheless, these systems encounter several challenges: 1) insufficient consideration of data transmission efficiency between sensors and servers, 2) inefficient data serialization of BIM models in web environments, and 3) limited interoperability with other systems in different domains. In response to these technical barriers, this paper proposes a framework for a generalizable web-based building monitoring system by integrating BIM, IoT, and semantic web technologies. The framework is composed of four layers: sensor layer, network layer, middleware layer, and application layer. To enhance semantic representation and data processing efficiency, we suggest converting BIM models from ifcSPF to a linked data version of ifcJSON. As a preliminary study, we develop a prototype of the web platform based on the proposed framework and conduct a pilot-test in a university laboratory. The results demonstrate that the ifcJSON-based linked data effectively federates building information with IoT sensor data and ontologies, such as Brick ontology and ifcOWL. This outcome can serve as a foundation for developing a scalable building monitoring system utilizing BIM, IoT, and semantic web technologies.

关键词： Digital Twin Building Information Modeling Internet of Things Semantic Web Technology

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Development and Validation of an Advanced Green Roof Energy Model 9th

Development and Validation of an Advanced Green Roof Energy ...

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9th International Building Physics Conference

作者： Konkov, Dmitrii Tariku, Fitsum BCIT Bldg Sci Ctr Excellence Burnaby BC V5G 3H2 Canada McCuaig & Associates Engn Burnaby BC V5C 6P9 Canada

ISBN: (纸本)9789819783151;9789819783137;9789819783120

The escalating demand for sustainable urban development has increased the focus on energy efficiency, particularly within the building sector;our research dives into the specific topic of green roofs, investigating their potential to enhance building performance through advanced heat and moisture transfer modelling. Our research addresses the problem of how green roofs, as a building technology, can be effectively modelled to predict their impact on building energy consumption. We modified the existing heat air and moisture transfer model (HAMFit) implemented in COMSOL Multiphysics to simulate heat and moisture dynamics in green roofs. We integrated vegetative effects, moisture transfer, and thermal conduction into the model, validated against empirical data from an extensive field study in a marine climate. Results indicate that green roofs moderately enhance thermal performance, with the benefits observed in heating-dominated climates. The results also underline that evapotranspiration contributes to additional cooling effects under favourable moisture and temperature conditions. The findings suggest that green roof design shall be optimized for each climate and design, offering an additional component in pursuing sustainable building design.

关键词： Energy Modelling Green Roofs Moisture and Energy Transfer Field Experiment

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Finite Element Study of Unreinforced and Reinforced Unpaved Roads Subjected to Repetitive Vehicular Loading 5th

Finite Element Study of Unreinforced and Reinforced Unpaved ...

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5th International Conference on Transportation Geotechnics

作者： Sarma, Nayan Jyoti Dey, Arindam Indian Inst Technol Gauhati 781039 India

ISBN: (纸本)9789819782437;9789819782413;9789819782406

An unpaved road system is frequently subjected to distresses arising especially from rutting. This phenomenon is mostly imbibed by the repeated vehicular loading acting on the aggregate layer. Traditional design undrained analysis of unpaved road design leads to overestimated aggregate thickness, which has an eventual toll on the project cost. Hence, it becomes imperative to comprehend the behaviour of the unpaved road system subjected to repetitive vehicular loading and its consequent effects on rutting. This paper reports, the detailed outcome of Finite Element (FE) based analyses of unreinforced unpaved road system comprising a soil subgrade represented by generalized shear strength parameters. The aggregate layer is subjected to repetitive vehicular loading arising from different axle loads, and their influence on the rutting behaviour is illustrated. Further, to counteract rutting originating from higher axle loading, a planar geotextile with different stiffnesses is introduced at the aggregate-subgrade interface. The study successfully shows that even a single layer of high tensile strength geotextile can completely arrest the accumulation of deformation beyond certain number of loading cycles.

关键词： Unpaved road Rutting Finite element-based modeling

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Research on Photovoltaic Construction Management Based on UAV AI Recognition Technology 6th

Research on Photovoltaic Construction Management Based on UA...

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6th International Conference on Advances in civil and Ecological engineering Research

作者： Wang, Fang Chen, Shasha Sun, Weiqian Zhang, Ruyin Zhang, Lihua Lv, Shengcai Ren, Guangcai Power China Guiyang Engn Corp Ltd Guiyang Peoples R China

ISBN: (纸本)9789819616299;9789819616275;9789819616268

With the rapid development of the photovoltaic industry, photovoltaic construction management is facing more and more challenges. Traditional construction management methods have been unable to meet the needs of modern photovoltaic construction management. In order to solve this problem, this article proposes a photovoltaic construction management method based on unmanned aerial vehicle (UAV) AI recognition technology by studying intelligent construction and utilizing advanced information technologies such as the Internet of Things, big data, and BIM. By elaborating on intelligent data organization, AI recognition algorithms, and UAV AI recognition technology architecture, the basic principles and application methods of UAV AI recognition technology are introduced in detail. Through practical applications in multiple projects, the feasibility and effectiveness of the photovoltaic construction management method based on UAV AI recognition technology are verified. The results show that the method can greatly improve the efficiency and quality of photovoltaic construction management, and realize the rapid, efficient and accurate management of photovoltaic construction projects. Meanwhile, this method can also provide strong support for the intelligent management of subsequent operation and maintenance of photovoltaic power stations, promoting the sustainable development of the photovoltaic industry.

关键词： Photovoltaic power generation Construction management Unmanned aerial vehicle (UAV) AI recognition technology

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Turning Rails into Trails: Inspiring Cases of Railway Conversion Around the World 11th

Turning Rails into Trails: Inspiring Cases of Railway Conver...

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11th International Conference of Ar.Tec.

作者： Rizk, Yara Salvo, Simona Sapienza Univ Rome Rome Italy

ISBN: (纸本)9783031718571;9783031718557;9783031718540

The abstract should summarize the contents of the paper in short This research paper delves into the multifaceted significance of preserving railway heritage, most precisely railway lines, expanding beyond traditional considerations of material and architectural heritage. Those networks stand as historical witnesses to crucial events like the industrial revolution, colonization, and globalization, contributing to the shaping of historical landscapes, global demography, and communities. The study explores the history of the Rails-to-Trails movement, originally aimed at promoting a healthy lifestyle but evolving into a global phenomenon that preserves historical landscapes, reconnects rail towns, and fosters slow tourism. Examining the reuse of abandoned urban rails into linear parks, the paper focuses on well-known examples like New York's High Line, addressing both its successes and limitations. Alternative ideas, such as those along the Petite Ceinture, highlight diverse approaches to repurposing urban rails and emphasize the importance of community involvement in decision-making processes. The paper underscores the challenge of balancing conservation, sustainability, and economical interests, emphasizing that well-integrated greenways present an eclectic solution for the future of railway heritage, harmonizing history, landscape, and contemporary needs.

关键词： Railway Heritage Rail to Trail Industrial Archeology Greenway Linear parks Railbanking system

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Heating Performance of Photochromic and NIR-Shielding Window Retrofits: An Experimental Evaluation in a Continental Climate 9th

Heating Performance of Photochromic and NIR-Shielding Window...

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9th International Building Physics Conference

作者： Khaled, Khaled Berardi, Umberto Toronto Metropolitan Univ Toronto ON Canada

ISBN: (纸本)9789819783151;9789819783137;9789819783120

Windows play a critical role in driving the heating and cooling energy loads of buildings, especially in older buildings with outdated windows. While replacing existing windows with high-performance products can significantly boost building energy efficiency, the associated costs can be prohibitive. Consequently, retrofit technologies that utilize existing glass panes and frames offer a compelling solution. This paper investigates the energy performance of two innovative window retrofit technologies at the BeTOP outdoor test cell facility in Toronto, Ontario, a continental location with warm summers and cold winters. The evaluated technologies include a near-infrared-absorbing liquid-applied nano-coating and a peal-and-stick photochromic window film with dynamic absorptance to visible radiation. These technologies are applied directly to the interior glazing surface, allowing for swift installation with minimal occupancy interruption. Since the studied retrofit technologies primarily target cooling energy savings, they may contribute to greater heating energy consumption in a heating-dominated climate. Hence, the study focused on evaluating the in-situ winter performance of the retrofit technologies against a clear reference under identical conditions. While the considered retrofit technologies did not significantly amplify the heating consumption, a noticeable increase in the interior glazing surface temperature was driven by the retrofit coatings' solar absorbing property. Hence, the studied retrofit technologies could potentially show enhancements in thermal comfort aspects in the winter without significant heating penalties. This suggests potential for effective year-round energy savings. Further work is planned to evaluate the cooling and annual performances as well as the daylight performances for different sky conditions.

关键词： Outdoor test cells Window retrofits Photochromic NIR shielding

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Machine Learning Methods to Predict Resilient Moduli Behavior of Subgrade Soils 5th

Machine Learning Methods to Predict Resilient Moduli Behavio...

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5th International Conference on Transportation Geotechnics

作者： Chou, Sopharith Biswas, Nripojyoti Puppala, Anand J. Texas A&M Univ College Stn TX 77843 USA Univ Massachusetts Lowell Lowell MA 01854 USA

ISBN: (纸本)9789819782154;9789819782130;9789819782123

Due to limited budgets and complex testing procedures to determine resilient modulus (MR), engineers often rely on correlations between modulus and other engineering properties such as unconfined compressive strength (UCS). However, a majority of such correlations are based on linear regression, which can often lead to under or over-prediction of the correlated values. With the advancement in computing techniques, it has become convenient to understand and predict the behavior of engineering materials using optimization techniques. In this study, two machine learning (ML) techniques, including Artificial Neural Network (ANN) and Random Forest (RF), were used to predict the MR values from UCS data. Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and coefficient of determination (R) were computed to assess the effectiveness of the models. The statistical analysis of the testing sets indicated that the RF model achieved a goodness of fit value of 0.97, an MAE of 12.7 MPa, and an RMSE of 18.5 MPa. Alternatively, the ANN model indicated the corresponding goodness of fit value of 0.71 with an MAE of 44.3 MPa and an RMSE of 60.9 MPa. Furthermore, among various contributing factors, UCS was identified as the primary factor in predicting MR values for both models. Based on these findings, the RF model outperformed the ANN model in predicting unknown data within the examined parameter ranges and provides fitting parameters depending on the nature of the datasets, which avoids the overfitting effect. Therefore, this study demonstrates a progressive understanding of the potential use of the advanced computing tool to obtain more accurate resilient modulus values from the strength data.

关键词： Resilient modulus Ground Improvement Machine learning Random forest model Artificial neural network model

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A Review of Blockchain-Based Digital Twins in the AEC Sector in the Context of Application 20th

A Review of Blockchain-Based Digital Twins in the AEC Sector...

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20th International Conference on Computing in civil and Building engineering-ICCCBE

作者： Broetzmann, Jascha Rueppel, Uwe Tech Univ Darmstadt IIB Darmstadt Germany

ISBN: (纸本)9783031842269;9783031842245;9783031842238

With technological advancements, new challenges and security risks inevitably emerge. Thus, it is crucial to address these risks directly during the development stage. Blockchain technology presents a potential solution to meet these requirements and can serve as a foundation for other emerging technologies such as digital twins. Digital twins utilize collected data about the monitored asset to boost their performance and prolong their lifespan. Nonetheless, it is imperative to securely and reliably track all data and information to ensure the trustworthiness of analyses within digital twins. Blockchain's key feature is immutably and traceably storing data, which can securely digitise intellectual property and assets. Therefore, this paper aims to examine current blockchain-based digital twin applications in the Architecture, engineering, and Construction (AEC) industry to derive and summarise key takeaways, as a thorough comprehension of the tools is mandatory for their adoption. Additionally, the study will explore the pros and cons of blockchain-based digital twins to determine if it serves as a forward-looking alternative to traditional digital twins. Furthermore, a blockchain concept for the own implemented digital twin is proposed.

关键词： Digital Twin Blockchain Security

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Exploring Recycled Plastic Aggregates in Hemp Concrete 9th

Exploring Recycled Plastic Aggregates in Hemp Concrete

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9th International Building Physics Conference

作者： Aldaou, Lara Issaadi, Nabil Leklou, Nordine Amiri, Ouali Nantes Univ Ecole Centrale Nantes CNRS GeMUMR 6183 F-44600 St Nazaire France

ISBN: (纸本)9789819783076;9789819783052;9789819783045

The escalating crisis of plastic pollution poses a pressing threat to our environment, necessitating urgent and effective preventive actions. Within the realms of civil engineering and architecture, there's a growing inclination towards utilizing agricultural materials and industrial waste for constructing sustainable building materials. An appealing avenue emerges in integrating recycled plastic waste into the production of novel, eco-friendly materials. By repurposing plastic waste into new construction materials, we not only mitigate the adverse impacts of plastic pollution but also unlock significant economic and environmental advantages. This approach resonates strongly with the ethos of sustainable development, offering a solution that addresses economic, and environmental imperatives. The work presented in this paper consisted of studying the effect of valorizing plastic waste in construction materials by substituting hemp fibers in hemp concrete with recycled plastic aggregates, or by adding them to hemp concrete, while examining the thermal performance of the resulting materials as a function of water content. The composite material comprised a blend of hemp shives, binder, and three different types of plastics Polyethylene-Polypropylene (PE/PP), Polyvinyl Chloride (PVC), and Polyurethane (PUR), with replacement or adding percentages of 30% and 50% relative to the mass of hemp shives.

关键词： Plastic waste thermal properties hemp Concrete water content

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