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Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022

作者： Khalef, Ramy El-Adaway, Islam H. Dept. of Civil Architectural and Environmental Engineering Missouri Univ. of Science and Technology RollaMO United States Hurst-McCarthy Professor of Construction Engineering and Management Professor of Civil Engineering and Founding Director of Missouri Consortium of Construction Innovation Dept. of Civil Architectural and Environmental Engineering and Dept. of Engineering Management and Systems Engineering RollaMO United States

ISBN: (纸本)9780784483978

With an increasing demand for passenger and freight travel, airport construction program spending has heightened throughout the years. This poses a greater threat for sponsors to withstand the required financial capacities especially within the current economic conditions. None of the previous research attempted to provide a comprehensive overview on Airport Improvement Program (AIP) project expenditures. This paper fills this knowledge gaps using a graph theory approach. To this end, the authors used an interdependent research methodology that comprised of: (1) identifying AIP project keywords to represent the work actions performed;(2) vectorizing the data into a reference matrix that is split based on fund level;(3) developing the adjacency matrices from each reference matrix;(4) constructing the graph networks;and (5) visualizing the full data as well as interpreting for similarities and differences between the different fund levels. There were sustained similarities as well as differences between the fund levels. Results also indicated that the rehabilitation in the main aircraft entry, exit, maneuvering, and stationing areas are the main focus and center of all fund levels. Ultimately, this research synthesizes a foundation for comprehensive understanding of AIP projects by studying the interconnections as well as work actions performed in each fund level. This shall aid stakeholders in improved fund allocation decision-making procedures and management of human resources. © 2022 ASCE.

关键词： Graph theory

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An Intelligent IoT Device for Real-Time Cloud-Based Tracking of the Terms of Service in Smart Cities

An Intelligent IoT Device for Real-Time Cloud-Based Tracking...

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ASCE International Conference on Computing in civil engineering 2023: Resilience, Safety, and Sustainability, i3CE 2023

作者： Mohammadi, Mohsen Assaad, Rayan H. Chang, Aichih Jasmine John A. Reif Jr. Dept. of Civil and Environmental Engineering New Jersey Institute of Technology NewarkNJ United States The Smart Construction and Intelligent Infrastructure Systems Lab Dept. of Civil and Environmental Engineering New Jersey Institute of Technology NewarkNJ United States Martin Tuchman School of Management New Jersey Institute of Technology NewarkNJ United States

ISBN: (数字)9780784485248

ISBN: (纸本)9780784485248

The emerging interest in smart, sustainable cities has propelled an exploration race by adopting various technologies to improve business efficiency. Specifically, the smart technology has a considerable potential in a shared environment, which is defined as a socioeconomic system that allows an intermediated set of exchanges of goods and services between individuals and/or organizations to increase efficiency and optimize resource allocation. Smart technology is capable to track the utilization of shared goods or service in a continuous and real-time manner, which effectively strengthens the trust between the shareholders (i.e., users and providers);however, its application in the sharing economy is still immature. This paper proposes an approach to adopt smart technologies in shared properties in smart cities. The developed method includes (1) identifying critical indicators and developing various sensors to obtain real-time data to assess the user's utilization of the shared property, (2) developing an IoT device using open-source embedded systems (i.e., Arduino) to integrate all the sensors, and (3) creating a cloud-based, visual interface accessible by property users and providers to monitor service utilization and the user's compliance with the terms of service. The proposed IoT device was implemented and tested in a shared environment in New Jersey (NJ), USA. Ultimately, this study aims to pave the way to transforming traditional business practices toward more intelligent models whereby both the providers and the users have fewer, or ideally no, regrets in relation to their decisions about the sharing economy environment in smart cities. © ASCE *** rights reserved.

关键词： Smart city

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An Intelligent and Dynamic Pricing IoT Model to Stimulate the Use of Shared Economies in Smart Cities

An Intelligent and Dynamic Pricing IoT Model to Stimulate th...

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Construction Research Congress 2024, CRC 2024

作者： Mohammadi, Mohsen Assaad, Rayan H. Chang, Aichih Jasmine John A. Reif Jr. Dept. of Civil and Environmental Engineering New Jersey Institute of Technology NewarkNJ United States Smart Construction and Intelligent Infrastructure Systems Lab Dept. of Civil and Environmental Engineering New Jersey Institute of Technology NewarkNJ United States Martin Tuchman School of Management New Jersey Institute of Technology NewarkNJ United States

ISBN: (数字)9780784485262

ISBN: (纸本)9780784485262

There has been an increasing interest in smart cities and digital technology/information to enhance the quality of services, while reducing costs and resource consumption. Hence, the "shared economies" notion was introduced accordingly, which is a modern business concept highlighting people's preference to share/rent goods and services (e.g., space, transportation, utilities) rather than to buy and/or own them. Smart cities enabled by peer-to-peer internet capabilities - e.g., IoT technology and devices - can fuel the growth of shared economies by improving information transparency, rationalizing resource allocation, and reducing waste. This paper proposes a dynamic pricing model developed from an innovative renter reliability index, which is measured and created by IoT-enabled and real-time data. The proposed intelligent dynamic IoT model was used and tested in a real-world long-term shared economy environment (i.e., a rental space) of a smart city in New Jersey, USA. The results showed that the proposed model can significantly enhance the transparency and legitimacy of rental pricing in a shared. This paper contributes to the literature by improving the efficiency of the shared products/services, the allocation of resources, and the pricing rationalization, which ultimately stimulates the shared economy concept in smart cities. The proposed model is useful for both the providers and users of shared economy systems, particularly those of shared properties (i.e., rental spaces). © 2024 ASCE.

关键词： Internet of things

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Jet Scour in Cohesive and Non-Cohesive Soil 9

Jet Scour in Cohesive and Non-Cohesive Soil

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9th IAHR International Symposium on Hydraulic Structures, ISHS 2022

作者： Di Nardi, J. Palermo, M. Pagliara, S. Bombardelli, F.A. Department of Energy Systems Territory and Construction Engineering University of Pisa Italy Department of Civil and Environmental Engineering University of California DavisCA United States

ISBN: (纸本)9781958416075

A safe design of hydraulic structures depends on reliable estimations of the scour generated by the interaction between flow, structure, and bed sediments. Non-cohesive and cohesive soils are characterized by very different scour processes. Consequently, the behavior of the two soil types under scour has usually been studied separately. More specifically, cohesive soils are subjected to significant interparticle forces, which affect the properties of the material, resulting in different erosion mechanisms. Because of the complexity of the problem, erosion processes have been mainly investigated experimentally, resulting in a variety of case-dependent predicting equations. Recent theoretical advancements contributed to clarify the physics of scour in granular materials, paving the way to the development of general tools for its assessment. Nevertheless, a systematic characterization of local erosion in different types of soil is still lacking. The aim of this paper is to present an updated summary of current knowledge on scour caused by circular jets for cohesive and non-cohesive soils, highlighting differences and similarities of the scour phenomenon. In so doing, we also point out the still-challenging aspects and the future lines of research. © 2022 ISHS 2022 - 9th IAHR International Symposium on Hydraulic Structures. All rights reserved.

关键词： Scour

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Machine learning classification approach for formation delineation at the basin-scale

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Petroleum Research 2022年第2期7卷 165-176页

作者： Derek Vikara Vikas Khanna Department of Civil and Environmental Engineering University of PittsburghPittsburghPA15261United States KeyLogic Systems LLCMorgantownWV26505United States Department of Chemical and Petroleum Engineering University of PittsburghPittsburghPA15261United States

Machine learning and artificial intelligence approaches have rapidly gained popularity for use in many subsurface energy *** are seen as novel methods that may enhance existing capabilities,providing for improved efficiency in exploration and production ***,their inte-gration into reservoir management workflows may shape the future landscape of the energy *** study implements a framework that generates predictive models using multiple machine learning classification-based algorithms which can identify specific stratigraphic units(i.e.,formations)as a function of total vertical depth and spatial *** framework is applied in a case study to 13 specific formations of interest(Upper Spraberry through Atoka/Morrow reservoirs)in the Midland Basin,West Texas,United States;a prominent hydrocarbon producing sub-basin of the larger Permian *** study dataset consists of over 275,000 records and includes data fields like formation iden-tifier,true vertical depth(in feet)of formations observed,and latitude and longitude coordinates(in decimal degrees).A subset of 134,374 data records were relevant to the 13 distinct formations of interest and were extracted and used for machine learning model training,validation,and *** super-vised learning approaches including random forest(RF),gradient boosting(GB),support vector machine(SVM),and multilayer perceptron neural network(MLP)were evaluated and their prediction accuracy *** best performing model was ultimately built on the RF algorithm and is capable of an overall prediction accuracy of 93 percent on holdout *** RF-based model demonstrated high prediction accuracy for major oil and gas producing zones including the San Andres,Upper Spraberry,Lower Spraberry,Clearfork,and Wolfcamp at 98,94,89,94,and 94 percent ***,the resulting data-driven model provides a robust,cost-effective approach which can complement contemporary reservoir manag

关键词： Permian basin Midland basin K-means clustering Random forest Classification machine learning

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A Systematic Assessment of Genetic Algorithm (GA) in Optimizing Machine Learning Model: A Case Study from Building Science

A Systematic Assessment of Genetic Algorithm (GA) in Optimiz...

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Ali, A. Jayaraman, R. Azar, E. Sleptchenko, A. Khalifa University Department of Engineering Systems and Management Abu Dhabi United Arab Emirates Carleton University Department of Civil and Environmental Engineering OttawaON Canada

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Machine learning (ML) algorithms are techniques that allow computers to learn from the data without being explicitly programmed. ML techniques consist of hyperparameters that typically influence prediction accuracy, hence requiring tuning. In this study, we systematically evaluate the performance of the genetic algorithm (GA) technique in tuning ML hyperparameters compared to three other common tuning techniques i.e. grid search (GS), random search (RS), and bayesian optimization (BO). While previous studies explored the potential of metaheuristics techniques such as GA in tuning ML models, a systematic comparison with other commonly mentioned techniques is currently lacking. Results indicate that GA slightly outperformed other methods in terms of optimality due to its ability to pick any continuous value within the range. However, apart from GS which took the longest, it was observed that GA is quite a time inefficient compared to RS and BO which were able to find a solution close to the GA within a shorter time (GA - 149 minutes, RS - 88 minutes, BO - 105 minutes, GS - 756 minutes). © 2022 IEEE.

关键词： Genetic algorithms

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Employing Open Geospatial Data and Techniques in Achieving Effective Flood Awareness and Decision Support

Employing Open Geospatial Data and Techniques in Achieving E...

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Frontiers of Information Technology (FIT)

作者： Kamran Aslam Salman Atif Javed Iqbal Ali Tahir Institute of Geographical Information Systems School of Civil and Environmental Engineering NUST Islamabad Pakistan

ISBN: (数字)9798331510503

ISBN: (纸本)9798331510510

South Asia and Pakistan in specific have experienced frequent and catastrophic flood disasters over the past several decades. Despite the resulting serious socioeconomic issues, an effective system for prediction, mitigation and management of the floods is non-existent. The situation has deteriorated due to isolated monitoring of the flood disasters by various stakeholders. These organizations have developed costly data collection mechanisms only to maintain proprietary ownership of critical data with no horizontal sharing system in place. All this results in non-availability of river discharges, evolving flood extents, weather and other related data in near real time to the authorities looking after mitigation process and to the organizations subsequently involved in rehabilitation activities. This research has been carried out to develop a system of leveraging open-data and utilizing it to model flood extents and predict vulnerability zones. The first phase of the study covers exploration of various remotely sensed near real time open-data sources pertaining to floods. In the second phase, spatial modeling techniques have been tested on acquired open data to establish accurate Flood Inundation extents. The Hydrologic engineering Center River Analysis System (HECRAS) has been used to model the complete Indus River Basin split into four reaches: Upper, Upper Middle, Lower Middle and Lower. For these, 30-year return period extents were generated and subsequently put through geospatial analysis techniques for identification of vulnerable settlements, corresponding population and the affected area. Datasets and methodology determined through this study provide a comprehensive guideline for flood risk reduction and can prove to be an essential toolkit for any disaster management organization.

关键词： Prevention and mitigation Disasters Organizations Real-time systems Data models Rivers Geospatial analysis Floods Stakeholders Socioeconomics

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Mixed Traffic Flow Performance Evaluation Considering Spatial Distribution of Mixed-Automated Vehicles 27

Mixed Traffic Flow Performance Evaluation Considering Spatia...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Liu, Haoji Mu, Zeyu Wang, Zejiang Park, B. Brian Oak Ridge National Laboratory Oak RidgeTN37932 United States University of Virginia Link Lab and the Department of Systems and Information Engineering CharlottesvilleVA22903 United States University of Virginia Department of Civil and Environmental Engineering CharlottesvilleVA22903 United States

ISBN: (纸本)9798331505929

Adaptive cruise control (ACC) and cooperative ACC (CACC) systems for connected automated vehicles (CAVs) have been extensively developed over decades. However, the impact of the mixed-automated vehicle spatial distribution on mixed traffic flow performance considering different cruise controllers, particularly with the introduction of new CACC systems involving unconnected vehicles between two CAV s (CACCu), remains unclear. In this study, we modeled and evaluated the impact of different spatial distributions on mixed traffic flow. First, we developed car-following models for traditional human-driven vehicles (THV s) incorporating human reaction time, and for CAV s utilizing various cruise controllers including ACC, CACC, and CACCu, accounting for delayed vehicle dynamics. Then, numerical simulations were conducted to analyze the influence of mixed-automated vehicle spatial distribution, CAV penetration rate, and CAV s' desired time gap on traffic flow performance. Evaluation measures for driving comfort, energy consumption, and travel efficiency were employed to assess the outcomes. Our findings indicate that solely pursuing the clustered distribution to form CACC platoons may not always be optimal due to potential traffic disturbances amplified by clustered THV s, contrasting with most existing research. Furthermore, implementing CACCu is proved to improve CAV connectivity utilization, resulting in enhanced traffic performance in terms of safety, comfort, energy efficiency, and travel efficiency. © 2024 IEEE.

关键词： Adaptive control systems

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An analytical study on local buckling strength of box stub-columns made of SBHS500 under axial compression 11th

An analytical study on local buckling strength of box stub-c...

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11th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2022

作者： Yamazaki, R. Ono, K. Takeshima, N. Okada, S. Kitane, Y. Matsumura, M. Department of Civil and Environmental Engineering Waseda University Tokyo Japan IHI Infrastructure Systems Co. Ltd Tokyo Japan Department of Civil and Earth Resources Engineering Graduate School of Engineering Kyoto University Kyoto Japan Center for Water Cycle Marine Environment and Disaster Management Kumamoto University Kumamoto Japan

ISBN: (纸本)9781032345314

In 2017, SBHS (Steels for Bridge High-performance Structure) has been specified in "Specifications for Highway Bridges" in Japan. In order to investigate local buckling strength of welded box stub-column made of SBHS500 under axial compression, finite element analyses were conducted, covering a wide range of width-to-thickness ratio (RR). The validity of the analysis models was examined by comparing the experiment results in previous study and reproduction analysis results. Then, the local buckling strength obtained from analysis results were compared with existing ultimate strength curves. As a result, the ultimate strength values obtained from parametric analysis were slightly lower than values given by existing ultimate strength curves around RR = 0.7. In the end of this study, another ultimate strength curve which can evaluate local buckling strength of welded box stub column made of SBHS500 more accurately was proposed based on the analysis results. © 2022 the Author(s).

关键词： Axial compression

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Pedal Power vs Battery Boost: An In-depth Analysis of the Dichotomy and Symbiosis between Traditional and Electric Bike-sharing

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Journal of Traffic and Transportation engineering(English Edition) 2024年

作者： Wenhao Li Jin Yu Zhengtao Qin Tomio Miwa Yanjie Ji Qinhe An School of Transportation， Southeast University Department of Civil and Environmental Engineering， Nagoya University， Furocho School of Architecture and Transportation， Guilin University of Electronic Technology Key Laboratory of Road and Traffic Engineering of Ministry of Education， Tongji University Institute of Materials and Systems for Sustainability， Nagoya University， Furocho

People are increasingly utilizing electric bike-sharing (EBS) for travel as a new mode of shared mobility comparable to traditional bike-sharing (TBS). However， few studies have focused on what is the attraction of the integrated bike-sharing system， encompassing both EBS and TBS， and how they develop in tandem. A web-based stated preference survey is designed to explore people’s preferences for different bike-sharing modes in China. The collected data is employed to create a panel random parameters random utility multinomial logit model (Panel RPRUM) and a panel random parameters random regret logit model (Panel RPRRM). This paper quantitatively estimates the inherent effects on EBS and TBS choices across various attributes. The results show that while there are similarities， there are also differences in users' choice tendencies between TBS and EBS. Access time and egress time are the most important influencing the choice of bike-sharing system (both TBS and EBS)， though the degree of influence varies between the two. In addition， the trade-off between trip cost and distance significantly affects user choices between EBS and TBS， reflecting their complementary nature. The dynamic pricing strategy with varying distances might further enhance the acceptability of the bike-sharing system.

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