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检索条件"任意字段=2012 ASCE International Conference on Computing in Civil Engineering"

共 2005 条记录，以下是51-60 订阅

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Fully Autonomous Fire Safety Equipment Inspection Missions on a Legged Robot

Fully Autonomous Fire Safety Equipment Inspection Missions o...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Aziz, Angelina Herbers, Patrick Bayer, Hakan Koenig, Markus Ruhr Univ Bochum Dept Civil & Environm Engn Comp Engn Bochum Germany

ISBN: (数字)9780784485224

ISBN: (纸本)9780784485224

As building automation becomes more prevalent, smart buildings will be integrated into smart cities. Using artificial intelligence (AI) is expected to increase efficiency and the automation level throughout the whole life cycle of building information modeling (BIM). Especially for the management phase of a building, facility managers are recognizing the value of machine learning and robotics for the automation of different maintenance tasks. In the fire safety management field, documentation of fire safety equipment (FSE) is required due to recurring maintenance work, system changes, and relocations. This study concentrates on the automatic detection of inspection tags on FSE using a YOLO network and its deployment on a mobile robot. The goal is to create a fully autonomous inspection mission for a legged robot by executing predefined routes, identifying FSE, and extracting necessary information, such as the next maintenance date tags.

关键词： Inspection

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Impacts of Flooding on Traffic Functionality from Crowdsourced Location Data

Impacts of Flooding on Traffic Functionality from Crowdsourc...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Contreras, Francisco Torres-Machi, Cristina Univ Colorado Boulder Dept Civil Environm & Architectural Engn Boulder CO 80309 USA

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

The increasing availability of global positioning systems and smartphones has enabled the crowdsourcing of actual travel behavior. Using this data to measure the impacts of flooding on traffic functionality, however, remains a challenge, as different traffic variables can be used to quantify functionality, and it is not straightforward to determine the duration of the traffic disruption. This research analyzed five flood events to determine the traffic variables that better capture the impacts of flooding on traffic functionality. The study also proposes a methodology to determine the moment at which the impacts of flooding on traffic end. The results suggest that number of trips, vehicle miles traveled (VMT), and vehicle hours traveled (VHT) are the traffic variables that better reflect the impacts of flooding on traffic functionality and that changes in the standard deviation of these variables can be used to determine the duration of the traffic disruption.

关键词： Crowdsourcing

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Developing a Transportation Asset Data Lifecycle Ecosystem (TADLE): A Framework of Information Requirements and Flow

Developing a Transportation Asset Data Lifecycle Ecosystem (...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Ammar, Ashtarout Dadi, Gabriel B. Nassereddine, Hala Univ Kentucky Dept Civil Engn Lexington KY 40506 USA

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

State departments of transportation (DOTs) face several challenges in managing their transportation asset data and maintaining the asset condition to a certain level of required serviceability. In the current practices, asset information is siloed and isolated throughout the asset life cycle, resulting in data stagnation and loss. Conversely, understanding data architecture is critical to leverage the value of asset data. Thus, this paper aims to develop a Transportation Asset Data Lifecycle Ecosystem (TADLE) that compiles the information associated with and required for each data life-cycle stage. Furthermore, this study presents a case study to validate and implement TADLE to determine the essential information and data flow associated with managing an ancillary asset throughout its life cycle by a state DOT. The developed framework will support state DOTs in advancing the data and information systems necessary for efficient transportation asset management practices to allow for data computing, analysis, and informed decision-making.

关键词： Ecosystems

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Detecting and Preventing Falls Using a Hybrid Technology System: A Review

Detecting and Preventing Falls Using a Hybrid Technology Sys...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Ajasa, Solomon Sesesie Song, Siyuan Univ Alabama Dept Civil Construct & Environm Engn Safety Automat & Visualizat Environm Lab Tuscaloosa AL 35487 USA

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

Over the years, falls have been the leading cause of severe injuries and fatal accidents in the construction industry. Various automated detection and prevention systems have been developed to improve worker safety conditions on the job. However, there have been limitations in the use and accuracy of these systems due to the peculiarities of the construction sites. Hence, this study was conducted by reviewing multiple studies on 10 sensing technologies, their modes of operation, and the factors that influence performance, strengths, and weaknesses based on working conditions at varying levels of fall risk. This study proposes a framework that can facilitate the integration of two or more systems to detect and prevent workers from falling. A comparative analysis was conducted to identify the usefulness and limitations of various sensing technologies, with the aim of developing a hybrid system that can be employed in various fall hazard levels.

关键词： Construction industry

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Agile Project Planning Framework and Method for Allocating Limited Crews to Drainage Construction Projects

Agile Project Planning Framework and Method for Allocating L...

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asce international conference on computing in civil engineering (I3CE)

作者： Bayesteh, Ali Lu, Ming Univ Alberta Dept Civil & Environm Engn Donnadeo Innovat Ctr Engn Edmonton AB Canada

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

Drainage infrastructure maintenance projects are resource-intensive undertakings at the clients' premises. Their projects' domain consists of multiple one-of-a-kind small projects scattered over various locations and subject to constant changes over time (emergent projects, deadline changes). Conventional project planning models relying on a sequential phase-to-phase (waterfall) methodology do not lend themselves well to plan crew allocation and job schedules in response to dynamic customers' demands. This research introduces agile project management methods originated in the software development industry;further a practical agile project management approach is conceptualized to allocate a finite number of crews to perform routine jobs by their respective deadlines while dealing with high-priority jobs or emergency jobs, all subject to the updated constraints on crews' availability. A drainage service case study is provided to demonstrate method application.

关键词： Drainage

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Structural Failure Mode Prediction in Laterally Loaded Reinforced Concrete Columns Using Machine Learning

Structural Failure Mode Prediction in Laterally Loaded Reinf...

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asce international conference on computing in civil engineering (I3CE)

作者： Agbobli, Divine Y. Osei, Jack B. Mo, Yunjeong Iowa State Univ Dept Civil Construct & Environm Engn Ames IA 50011 USA Kwame Nkrumah Univ Sci & Technol Dept Civil Kumasi Ghana

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

Research has demonstrated the critical role of reinforced concrete (RC) columns in major built infrastructure systems such as bridges and high-rise buildings. To build upon this, this study aims to demonstrate the effectiveness of the support vector machine (SVM) learning technique in predicting the potential failure mode of laterally loaded spiral RC columns. The Pacific Earthquake engineering Research Center's laboratory test data of 159 spiral RC columns was used for this data-driven study, and the SVM model adopted the radial basis function kernel and optimized values of the hyperparameters cost and gamma to develop a robust SVM classification model. The model has an accuracy of 94.59% and a Cohen's kappa coefficient of 0.92. Overall, this study has successfully demonstrated machine learning tools' effectiveness and usability in data-driven engineering problem-solving and would contribute immensely to the domain knowledge on using technological tools to solve society's most pressing challenges.

关键词： Support vector machines

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State-of-the-Practice of Digital Twin Implementation in the Utility Sector

State-of-the-Practice of Digital Twin Implementation in the ...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Arisekola, Kolade Madson, Katherine Sturgill, Roy Iowa State Univ Dept Civil Construct & Environm Engn Ames IA 50011 USA

ISBN: (数字)9780784485231

ISBN: (纸本)9780784485231

The utility sector has historically been challenged with poor information on subsurface utilities, leading to problems such as utility strikes, subsequent delays, and cost overruns. Emerging technologies such as a digital twin (DT) are being proposed to better capture subsurface utility data to minimize some of these problems. This study reviews the state of the practice of DT in the utility sector to pave the way for future research direction. The study involved selecting and critically reviewing relevant papers in two databases. The review's outcome shows that DT adoption in the utility sector is still nascent, and more academic research is needed for significant advancement. It was also observed that the most advanced implementation of DT can be found in the water sector, while other utilities only implemented geometric DTs. Also, the problem of accurately locating existing subsurface facilities for easy maintenance or upgrade continues to linger.

关键词： Subsurface Utility engineering Asset Management Digital Twins Utility Management

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Towards a Robust Deep Learning-Based Scale Inference Approach in Construction Drawings

Towards a Robust Deep Learning-Based Scale Inference Approac...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Faltin, Benedikt Schoenfelder, Phillip Koenig, Markus Ruhr Univ Bochum Dept Civil & Environm Engn Comp Engn Bochum Germany

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

engineering drawings from various domains, for example, the construction industry, exhibit the geometry of the contained components in certain scales. The drawing's real-world scale is not necessarily stored as meta information with the drawing file. This information is only implicitly contained by dimension lines. This paper presents a multistage pipeline to infer the true scale using deep learning-based methods and logical reasoning. By using the state-of-the-art object detection method YOLOv7 and the robust optical character recognition model EasyOCR, the proposed approach localizes each dimension line and interprets their respective length. The global scale of the drawing is determined by a voting scheme resulting in the most likely pixel-resolution. The method is tested on bridge construction drawings and shows promising results in all stages of the pipeline. The authors plan to publish the trained model weights together with the source code.

关键词： Pipelines

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Trends and Potentials in Design Optimization for Road Projects

Trends and Potentials in Design Optimization for Road Projec...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Dai, Ke Kim, Jung In City Univ Hong Kong Dept Architecture & Civil Engn Kowloon Hong Kong Peoples R China

ISBN: (数字)9780784485224

ISBN: (纸本)9780784485224

In the practical implementation of road design, engineers must make multiple decisions during the design process, which is often neither formalized nor automated, thereby resulting in a repetitive cycle of design, analysis, and modification processes when designing and constructing road projects. Researchers in the architecture, engineering, and construction domain have explored design optimization from many perspectives. This study presents a systematic review of existing literature on road design optimization, summarizing the status quo of existing studies in terms of optimization disciplines, objectives, and methods. The review highlights that existing research on road design optimization has mainly focused on optimizing traffic network, geometry design, and material performance with certain objectives, using various approaches. Future topics could include optimization methods that integrate more analysis processes from different disciplines and incorporate multidisciplinary expertise into building information modeling (BIM) with parametric representation and rich semantic information.

关键词： Semantics

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Decision-Making Framework for Implementing Blockchain in Building Operations and Maintenance (O&M)

Decision-Making Framework for Implementing Blockchain in Bui...

引用

asce international conference on computing in civil engineering (I3CE)

作者： Kifokeris, Dimosthenis Tezel, Algan Moon, Sungkon Chalmers Univ Technol Dept Architecture & Civil Engn Gothenburg Sweden Univ Nottingham Dept Civil Engn Nottingham England Ajou Univ Dept Civil Syst Engn Coll Engn Suwon South Korea

ISBN: (数字)9780784485231

ISBN: (纸本)9780784485231

Blockchain is a distributed ledger technology that verifies and records transactions simultaneously across a computer network, offering data dependability, traceability, and immutability. It has gained attention in the architecture, engineering, construction, and operations (AECO) industry. However, to justify its deployment costs, it is essential to identify where blockchain can generate the most value. This study proposes that the operations and maintenance (O&M) phase of a building's life cycle, which has a significant environmental, social, and economic impact, can yield a higher return for blockchain. A literature review was conducted to investigate the implementation of blockchain in AECO, revealing a need for more attention to O&M. Inspired by the insights from the review and existing blockchain deployment frameworks, a high-level decision-making framework for blockchain adoption in O&M was developed. The paper also discusses various opportunities, challenges, and future research questions for a successful implementation of blockchain in buildings' O&M.

关键词： Blockchain

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