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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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Classification of Driving Style in Relation to Risk Level Based on G-G Diagram

Classification of Driving Style in Relation to Risk Level Ba...

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International Conference on Intelligent Transportation

作者： Yuanfang Zhu Meilan Jiang Toshiyuki Yamamoto Civil and Environmental Engineering Department Nagoya University Nagoya Institute of Innovation for Future Society Nagoya University Nagoya Japan Institute of Materials and Systems for Sustainability Nagoya University Nagoya Japan

This paper proposes a novel method to classify drivers' driving styles based on G-G diagrams that display the lateral and longitudinal accelerations on the x- and y-axes. A data-based safe driving area was defined to distinguish risky acceleration points from safe acceleration points. The Jensen–Shannon divergence was used to measure the similarity between the distributions of data points outside the safe driving area. A hierarchical clustering algorithm was used to classify the drivers into two groups based on similarity: non-aggressive and aggressive groups. To verify the proposed method, we used the naturalistic driving data of 71 drivers. The results indicated that the proposed method could help understand the risk level of drivers and individual differences in their driving styles. Drivers in the aggressive group exhibited diverse types of risky driving styles, and the percentage of points outside the safe driving area was much higher than that for the low-risk group. The proposed method can be applied in driving performance feedback provision, fleet management, and usage-based insurance.

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Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors 25

Real-Time Freeway Traffic Anomalous Event Detection System v...

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Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical systems (with CPS-IoT Week 2025)

作者： Austin Coursey Junyi Ji Zhiyao Zhang William Barbour Marcos Quinones-Grueiro Tyler Derr Gautam Biswas Daniel B. Work Institute for Software Integrated Systems Vanderbilt University Nashville TN USA and Department of Computer Science Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA and Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA Department of Computer Science Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA Department of Computer Science Vanderbilt University Nashville TN USA and Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA

ISBN: (纸本)9798400714986

Undetected anomalous incidents on the freeway, such as crashes, can cause increased congestion and secondary crashes. To address this problem, we recently released a real freeway traffic anomalous event detection dataset. However, our evaluation was limited to a static week of traffic data. This demo presents a live anomaly detection dashboard, processing sensor data with a 1-minute delay. It has interactive components to adjust the anomaly detection performance, providing a realistic evaluation of graph anomaly detection methods for long-term analysis and method improvements.

关键词： anomaly detection

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Automatic Vehicle Trajectory Data Reconstruction at Scale

SSRN

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SSRN 2023年

作者： Wang, Yanbing Gloudemans, Derek Ji, Junyi Teoh, Zi Nean Liu, Lisa Zachár, Gergely Barbour, William Work, Daniel Department of Civil and Environmental Engineering Vanderbilt University United States Institute for Software Integrated Systems Vanderbilt University United States Department of Computer Science Vanderbilt University United States Department of Electrical Engineering Vanderbilt University United States

Vehicle trajectory data has received increasing research attention over the past decades. With the technological sensing improvements such as high-resolution video cameras, in-vehicle radars and lidars, abundant individual and contextual traffic data is now available. However, though the data quantity is massive, it is by itself of limited utility for traffic research because of noise and systematic sensing errors, thus necessitates proper processing to ensure data quality. We draw particular attention to extracting high-resolution vehicle trajectory data from video cameras as traffic monitoring cameras are becoming increasingly ubiquitous. We explore methods for automatic trajectory data reconciliation, given "raw" vehicle detection and tracking information from automatic video processing algorithms. We propose a pipeline including (a) an online data association algorithm to match fragments that are associated to the same object (vehicle), which is formulated as a min-cost network flow problem of a graph, and (b) a trajectory reconciliation method formulated as a quadratic program to enhance raw detection data. The pipeline leverages vehicle dynamics and physical constraints to associate tracked objects when they become fragmented, remove measurement noise on trajectories and impute missing data due to fragmentations. The accuracy is benchmarked on a set of microsimulation datasets as well as two samples of manually-labeled data, which shows that the reconciled trajectories improve the accuracy on all the tested input data for a wide range of measures. A real-time version of the reconciliation pipeline is implemented and will be applied in a continuous video processing system running on a camera network covering a 4-mile stretch of Interstate-24 near Nashville, Tennessee. © 2023, The Authors. All rights reserved.

关键词： Pipelines

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Evaluation of analytic wavelet parameters effet for data analyses in civil structural heath monitoring 10

Evaluation of analytic wavelet parameters effet for data ana...

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10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021

作者： Silik, Ahmed Noori, Mohammad Altabey, Wael Ghiasi, Ramin Wu, Zhishen Dang, Ji Internationak Institute for Urban Systems Engineering Southeast University Nanjing China Mechanical Engineering Department California Polytechnic State University San Lis Obispo United States Department of Mechanical Engineering Alexandria University Alexandria Egypt Civil and Environmental Engineering Saitama University 255 Shimo-Okubo Asakura-Ku Saitama City Japan Department of Civil Engineering Faculty of Engineering Sciences Nyala University Nyala092 Sudan

Vibration measured data in civil engineering structures, is a physical quantity varying with time, contaminated from varied sources and affected by uncertainties not accounted for during the data acquisition. It can be high dimensional, which can obstruct the decision algorithms accuracy. The issue is how to analyses these data to well correlate the data information to structural characteristics through extracting sensitive damage features. To address these issues in order to enhance the damage detection accuracy, time-frequency analysis based continuous wavelet transform can be used. However, the issue in using wavelet is how to select the appropriate wavelet base and its parameters. Thus, this study, is aims to propose a novel method for selecting a customized analytic wavelet parameters for analyzing structural vibration measurements. The strategy is based on comparative analysis and visual correlation. First, investigating the effect of candidate analytic wavelet parameters, second, conduct subjective and objective analyses based on features that are well correlated with damage to select the most suited wavelet. The novelty of this study is that, the selection criteria are associated directly with features that correlated well with changing in structures due to damage such as energy fluctuations and how slowly energy decays and to detecting the transient events. The proposed method is verified by experimental data collected from shake table testes. Experimental results showed that Morse are more versatile wavelet and give a better performance followed by Bump and Morel wavelet. © 2021 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

关键词： Wavelet transforms

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Coupled experimental assessment and machine learning prediction of mechanical integrity of MICP and cement paste as underground plugging materials

Biogeotechnics

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Biogeotechnics 2023年第2期1卷 25-33页

作者： Oladoyin Kolawole Rayan H.Assaad Matthew P.Adams Mary C.Ngoma Alexander Anya Ghiwa Assaf John A.Reif Jr.Department of Civil and Environmental EngineeringNew Jersey Institute of TechnologyNewarkNJ 07102USA Geomechanics for Geo-Engineering and Sustainability Lab New Jersey Institute of TechnologyNewarkNJ 07102USA Smart Construction and Intelligent Infrastructure Systems Lab New Jersey Institute of TechnologyNewarkNJ 07102USA Materials and Structures Laboratory New Jersey Institute of TechnologyNewarkNJ 07102USA Cementing Research and Development Group Baker HughesTomballTX 77375USA

Compromised integrity of cementitious materials can lead to potential geo-hazards such as detrimental fluid flow to the wellbore(borehole),potential leakage of underground stored fluids,contamination of water aquifers,and other issues that could impact environmental sustainability during underground construction *** mechanical integrity of wellbore cementitious materials is critical to prevent wellbore failure and leakages,and thus,it is imperative to understand and predict the integrity of oilwell cement(OWC)and microbial-induced calcite precipitation(MICP)to maintain wellbore integrity and ensure zonal isolation at ***,we investigated the mechanical integrity of two cementitious materials(MICP and OWC),and assessed their potential for plugging leakages around the ***,we applied Machine Learning(ML)models to upscale and predict near-wellbore mechanical integrity at macro-scale by adopting two ML algorithms,Artificial Neural Network(ANN)and Random Forest(RF),using 100 datasets(containing 100 observations).Fractured portions of rock specimens were treated with MICP and OWC,respectively,and their resultant mechanical integrity(unconfined compressive strength,UCS;fracture toughness,K_(s))were evaluated using experimental mechanical tests and ML *** experimental results showed that although OWC(average UCS=97 MPa,K_(s)=4.3 MPa·√m)has higher mechanical integrity over MICP(average UCS=86 MPa,K_(s)=3.6 MPa·√m),the MICP showed an edge over OWC in sealing microfractures and micro-leakage ***,the OWC can provide a greater near-wellbore seal than MICP for casing-cement or cement-formation delamination with relatively greater mechanical *** results show that the degree of correlation between the mechanical integrity obtained from lab tests and the ML predictions is *** best ML algorithm to predict the macro-scale mechanical integrity of a MICP-cemented specimen is the RF model(R^(2)for UCS=0.9738 and K_(s)=0.9988;MA

关键词： MICP Biocementation Biogeotechnics Oilwell cement Underground engineering Cementitious material

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Risk Tolerance and Attitudes in the Economics of Electric Power and Gas Utilities: Case of Wildfire for Community Resilience

Risk Tolerance and Attitudes in the Economics of Electric Po...

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ASCE Inspire 2023: Infrastructure Innovation and Adaptation for a Sustainable and Resilient World

作者： Ayyub, Bilal M. Sawaya, Ramsay Butry, David T. Oum, Yumi Loh, Vincent Helgeson, Jennifer Center for Technology and Systems Management Dept. of Civil and Environmental Engineering Univ. of Maryland College ParkMD United States Power and Utilities Strategy KPMG DenverCO United States Applied Economics Office National Institute of Standards and Technology United States Enterprise and Operational Risk Management Pacific Gas and Electric Co. United States

ISBN: (纸本)9780784485163

Electric and gas investor-owned utilities operate in a regulated environment and are scrutinized by media and stakeholders for key strategic and operational decisions. Some decisions entail significant risk requiring a special attention to risk tolerances and attitudes. Utilities typically institute enterprise risk management programs to efficiently and effectively manage safety, reliability, and financial risks for their customers, employees, and communities in a changing climate with intensifying risks, such as wildfire. Consequences from such events could include human life and property losses, health effects, environmental damage, service loss, and other indirect financial and economic impacts. A spectrum of risk quantification and management methods are available for assessing these hazards. Varying risk tolerances and attitudes of stakeholders, typically ranging from neutrality to risk aversion, create situations that are central to decision-making where the safety, service delivery reliability, rate affordability, and the financial well-being of entities come together in a complex manner. This paper sets context, defines key terms, and develops an innovative approach for methodically reflecting risk tolerance and attitude in informing risk management decisions by offering flexibility to account for preferences by stakeholders in a structured manner. The proposed methods are illustrated in the context of wildfire risk management, including calibration and validation approaches. © 2023 by the American Society of civil Engineers. All Rights Reserved.

关键词： Risk management

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Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research

arXiv

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arXiv 2024年

作者： Shukla, Vandita Morelli, Luca Trybala, Pawel Remondino, Fabio Gan, Wentian Yu, Yifei Wang, Xin Trento Italy Computer Vision and Machine Learning Systems Group Institute for Geoinformatics University of Muenster Germany Dept. of Civil Environmental and Mechanical Engineering University of Trento Italy School of Geodesy and Geomatics Wuhan University China

UAV-based biodiversity conservation applications have exhibited many data acquisition advantages for researchers. UAV platforms with embedded data processing hardware can support conservation challenges through 3D habitat mapping, surveillance and monitoring solutions. High-quality real-time scene reconstruction as well as real-time UAV localization can optimize the exploration vs exploitation balance of single or collaborative mission. In this work, we explore the potential of two collaborative frameworks - Visual Simultaneous Localization and Mapping (V-SLAM) and Structure-from-Motion (SfM) for 3D mapping purposes and compare results with standard offline approaches. © 2024, CC BY-NC-SA.

关键词： Unmanned aerial vehicles (UAV)

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Coastal protection using building with nature concept:A case study from Chongming Dongtan Shoal,China

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Acta Oceanologica Sinica 2021年第10期40卷 152-166页

作者： Zhentao Chong Min Zhang Jiahong Wen Luyang Wang Jie Mi Jeremy Bricker Stanley Nmor Zhijun Dai School of Environmental and Geographical Sciences Shanghai Normal UniversityShanghai 200234China State Key Laboratory of Estuarine and Coastal Research(East China Normal University) Shanghai 200241China Department of Hydraulic Engineering Delft University of Technology2628 CN DelftThe Netherlands Department of Civil&Environmental Engineering University of MichiganAnn ArborMI 48109USA Department of Estuarine and Delta Systems Royal Netherlands Institute for Sea Research4400 AC YersekeThe Netherlands

With climate change and rising sea levels,the coastal zone’s flood risk is *** researches have shown a gradually degrading capacity of traditional hard engineering structures(e.g.,seawall,dikes)on flood mitigation due to problems such as land subsidence and insufficient *** remedy the defects,the"building with nature concept"for coastal protection with saltmarshes was examined by combining field measurements and numerical *** advantages of saltmarsh over traditional seawall on flood protection was demonstrated from the perspective of both flood area mitigation and economic gain,based on scenario *** show that tidal wetlands are essential in mitigating significant wave heights(Hs)and current velocities even during storm *** storm wave and current velocity reduction ratio(RRw and RRc)by saltmarshes on Chongming Dongtan Shoal(CMDS)during Typhoon 9711 is approximately 11%and 51%,*** wave and current mitigation by Scirpus mariqueter are more efficient than Spartina alterniflora and Phragmites australis during measurements in 2010,which were approximately 0.3 m and 0.2 m/s,0.125 m and 0.155 m/s,0.086 m and 0.128 m/s per kilometer width,*** summer saltmarsh area 54.2 km2 on CMDS protects approximately 32 km^(2)land area behind the seawall from being flooded,equivalent to the seawall heightening of approximately 0.42 m on equivalent flood *** performance of cost-and-benefit analysis shows a relatively higher(by 3%–7%)net present value(NPV)and a higher(by 1.5 times)benefit-cost ratio(BC)of nature-based solution(i.e.,saltmarsh restoration)compared with traditional hard engineering solution(i.e.,seawall construction).Thus,building seawall with nature,such as a hybrid flood protection measure,should be implemented in the future coastal redesign and maintenance.

关键词： nature-based flood protection storm wave mitigation numerical simulation cost-benefit analysis Chongming Dongtan Shoal

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Connection Number Based Model for Coordination Development Evaluation of Regional Water Resources, Social Economy and Ecological Environment Complex System

SSRN

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SSRN 2022年

作者： Zhou, Rongxing Jin, Juliang Wu, Chengguo Zhou, Liangguang Zhang, Libing Cui, Yi Zhang, Yuliang Zhou, Yuliang School of Civil Engineering Hefei University of Technology Hefei230009 China Institute of Water Resources and Environmental Systems Engineering Hefei University of Technology Hefei230009 China

The development of social economy often requires a large consumption of water resources, and will also discharge a large number of pollutants to the environment. Currently, the rapid development of water resources, social economy and ecological environment (WSE) complex system faces great challenges. The coordination development of WSE complex system is an important and necessary condition of regional sustainable development. Therefore, in order to scientifically and reasonably evaluate the coordination development state of the WSE system, based on the establishment of evaluation index system, the connection number and distance coordination model coupling approach for the coordination development evaluation of WSE complex system was proposed in this manuscript. The application results of the proposed method in coordination development evaluation of WSE system in Anhui Province, China indicate that, the coordination development degree of entire Anhui province presented distinct improving trend from 2011 to 2020, and the coordination development degree in different cities except of Fuyang, Huainan, Bengbu, Ma’anshan, and Tongling all reached to grade II by 2020. Meanwhile, the coordination development status of the 16 cities in Anhui province can be divided into three patterns according to its historical variation characteristics, i.e., coordination development mode, ecological environment backward mode, and social and economic backward mode. The research result is consistent with the practical statistics of Anhui Province, and can provide scientific and reliable decision-making basis for developing regional sustainable development policies. © 2022, The Authors. All rights reserved.

关键词： Water resources

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