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arXiv 2024年

作者： Bahavarnia, MirSaleh Ji, Junyi Taha, Ahmad F. Work, Daniel B. The Department of Civil and Environmental Engineering Vanderbilt University 2201 West End Avenue NashvilleTN37235 United States Institute for Software Integrated Systems United States

The main objective of the connected and automated vehicle (CAV) platoon control problem is to regulate CAVs’ position while ensuring stability and accounting for vehicle dynamics. Although this problem has been studied in the literature, existing research has some limitations. This paper presents two new theoretical results that address these limitations: (i) the synthesis of unrealistic high-gain control parameters due to the lack of a systematic way to incorporate the lower and upper bounds on the control parameters, and (ii) the performance sensitivity to the communication delay due to inaccurate Taylor series approximation. To be more precise, taking advantage of the well-known Padé approximation, this paper proposes a constrained CAV platoon controller synthesis that (i) systematically incorporates the lower and upper bounds on the control parameters, and (ii) significantly improves the performance sensitivity to the communication delay. The effectiveness of the presented results is verified through conducting extensive numerical simulations. The proposed controller effectively attenuates the stop-and-go disturbance—a single cycle of deceleration followed by acceleration—amplification throughout the mixed platoon (consisting of CAVs and human-driven vehicles). Modern transportation systems will benefit from the proposed CAV controls in terms of effective disturbance attenuation as it will potentially reduce collisions. © 2024, CC BY.

关键词： Controllers

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Spatial flood susceptibility mapping using an explainable artificial intelligence(XAI)model

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Geoscience Frontiers 2023年第6期14卷 8-19页

作者： Biswajeet Pradhan Saro Lee Abhirup Dikshit Hyesu Kim Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering&ITUniversity of Technology SydneySydneyNSW 2007Australia Earth Observation Center Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600 UKMBangiSelangorMalaysia Geoscience Data Center Korea Institute of Geoscience and Mineral Resources(KIGAM)124 Gwahang-noYuseong-guDaejeon 34132South Korea Department of Resources Engineering Korea University of Science and Technology217 Gajeong-roYuseong-guDaejeon 34113South Korea Department of Astronomy Space Science and GeologyChungnam National University99 Daehak-roYuseong-guDaejeon 34134South Korea

Floods are natural hazards that lead to devastating financial losses and large displacements of *** susceptibility maps can improve mitigation measures according to the specific conditions of a study *** design of flood susceptibility maps has been enhanced through use of hybrid machine learning and deep learning *** these models have achieved better accuracy than traditional models,they are not widely used by stakeholders due to their black-box *** this study,we propose the application of an explainable artificial intelligence(XAI)model that incorporates the Shapley additive explanation(SHAP)model to interpret the outcomes of convolutional neural network(CNN)deep learning models,and analyze the impact of variables on flood susceptibility *** study was conducted in Jinju Province,South Korea,which has a long history of flood *** performance was evaluated using the area under the receiver operating characteristic curve(AUROC),which showed a prediction accuracy of 88.4%.SHAP plots showed that land use and various soil attributes significantly affected flood susceptibility in the study *** light of these findings,we recommend the use of XAIbased models in future flood susceptibility mapping studies to improve interpretations of model outcomes,and build trust among stakeholders during the flood-related decision-making process.

关键词： Flood susceptibility Explainable AI Deep learning South Korea

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Monotonic Torsion of Vat Photopolymerized Tough Resin Polymers: The Effects of Gage Length and Ultraviolet Post-Curing

SSRN

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SSRN 2023年

作者： Sadaghian, Hamed Khalilzadehtabrizi, Sahand Khodadoost, Saeed Yeon, Jung Heum School of Architecture Building and Civil Engineering Loughborough University LoughboroughLE11 3TU United Kingdom Department of Civil and Environmental Engineering Centre for Infrastructure Systems Engineering University of Surrey Guilford United Kingdom Department of Civil Engineering University of Tabriz Tabriz Iran Civil Engineering Program Ingram School of Engineering Texas State University San MarcosTX78666 United States

Numerous materials, including soft sensors, microgrippers, metamaterials, bone substitutes, photopolymers, and functionally graded materials, undergo torsional loading throughout their service life. With the widespread adoption of additive manufacturing technology across various fields, many of the foregoing components are fabricated using additive manufacturing technology. Hence, it is essential to characterize the torsional behavior of additively-manufactured components before using them. More importantly, studies on additively-manufactured resin polymers are scarce, if any. To this end, the vat photopolymerization (VPP) technique was employed to fabricate 48 torsion specimens. These specimens were additively manufactured from the AnyCubic ultraviolet (UV) Tough Resin Material in a vertical build orientation. The study involved four different gage lengths: 20, 40, 60, and 80 mm. Additionally, five UV post-curing times (0, 15, 30, 60, 90, and 120 minutes) were considered as variables. Monotonic torsion was applied to the specimens at a rate of 0.1 revolutions per minute until failure. The results revealed that the failure patterns of all specimens were ductile. It was observed that longer post-curing times correlated with increased torsional capacities and shear moduli. However, no definitive conclusion could be drawn regarding the energy absorption per unit volume of the specimens. Furthermore, a normalized trilinear model was proposed to characterize the behavior of additively-manufactured resin polymers under monotonic torsion. This model is applicable for finite element software, enabling numerical simulation of the material’s response. © 2023, The Authors. All rights reserved.

关键词： Photopolymerization

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A reproducible approach to merging behavior analysis based on High Definition Map

arXiv

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arXiv 2023年

作者： Li, Yang Liu, Yang Ni, Daiheng Ji, Ang Li, Linbo Zou, Yajie Engineering of the Ministry of Education Tongji University 4800 Cao’an Road Shanghai China Department of Civil and Environmental Engineering Department of Industrial Systems Engineering and Management at the National University of Singapore Singapore School of Transportation and Logistics Southwest Jiaotong University Chengdu China Department of Civil and Environmental Engineering The University of Massachusetts AmherstMA01003 United States

Existing research on merging behavior generally prioritize the application of various algorithms, but often overlooks the fine-grained process and analysis of trajectories. This leads to the neglect of surrounding vehicle matching, the opaqueness of indicators definition, and reproducible crisis. To address these gaps, this paper presents a reproducible approach to merging behavior analysis. Specifically, we outline the causes of subjectivity and irreproducibility in existing studies. Thereafter, we employ lanelet2 High Definition (HD) map to construct a reproducible framework, that minimizes subjectivities, defines standardized indicators, identifies alongside vehicles, and divides scenarios. A comparative macroscopic and microscopic analysis is subsequently conducted. More importantly, this paper adheres to the Reproducible Research concept, providing all the source codes and reproduction instructions. Our results demonstrate that although scenarios with alongside vehicles occur in less than 6% of cases, their characteristics are significantly different from others, and these scenarios are often accompanied by high risk. This paper refines the understanding of merging behavior, raises awareness of reproducible studies, and serves as a watershed moment. Copyright © 2023, The Authors. All rights reserved.

关键词： Cell proliferation

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Non-stationary experimental design under linear trends 23

Non-stationary experimental design under linear trends

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Proceedings of the 37th International Conference on Neural Information Processing systems

作者： David Simchi-Levi Chonghuan Wang Zeyu Zheng Institute for Data Systems and Society Department of Civil and Environmental Engineering Operations Research Center MIT and Laboratory for Information and Decision Systems MIT Laboratory for Information and Decision Systems MIT Department of Industrial Engineering and Operations Research University of California Berkeley

Experimentation has been critical and increasingly popular across various domains, such as clinical trials and online platforms, due to its widely recognized benefits. One of the primary objectives of classical experiments is to estimate the average treatment effect (ATE) to inform future decision-making. However, in healthcare and many other settings, treatment effects may be non-stationary, meaning that they can change over time, rendering the traditional experimental design inadequate and the classical static ATE uninformative. In this work, we address the problem of non-stationary experimental design under linear trends by considering two objectives: estimating the dynamic treatment effect and minimizing welfare loss within the experiment. We propose an efficient design that can be customized for optimal estimation error rate, optimal regret rate, or the Pareto optimal trade-off between the two objectives. We establish information-theoretical lower bounds that highlight the inherent challenge in estimating dynamic treatment effects and minimizing welfare loss, and also statistically reveal the fundamental trade-off between them.

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A Rating Score for Assessing the Risks and Challenges Associated with Modular Construction

A Rating Score for Assessing the Risks and Challenges Associ...

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

作者： Abdul Nabi, Mohamad El-Adaway, Islam H. Dept. of Civil Architectural and Environmental Engineering Missouri Univ. of Science and Technology RollaMO United States Dept. of Civ. Arch. and Environ. Eng. and Dept. of Engineering Management and Systems Engineering Missouri Univ. of Science and Technology RollaMO United States

ISBN: (数字)9780784483978

ISBN: (纸本)9780784483978

The construction industry has been shifting from the stick-built methods to modularization. Despite such increased adoption, the industry has not yet been able to fully capture the benefits of modular construction methods due to various associated risks and challenges. While many research efforts have studied the various decision-making processes and operations related to modular construction projects, none is perceived to have developed a risk-based framework to assess the challenges associated with the use of modularization in construction projects. This paper fills this knowledge gap. In a previous research, the authors identified 50 factors affecting modular construction projects. Consequently, an industry survey was developed to quantify the identified risk factors in terms of their likelihood of occurrence, and relative impact. Based on 48 survey responses, this study conducted statistical testing to group the modular risks into risk tiers based on their statistical significance. Furthermore, a scoring system was developed as to allow for quantitative assessment of the challenges associated with the use of modularization. This research should help stakeholders make informed decisions about utilizing modularization in their projects by allowing a proactive management to the various associated challenges and risks. © 2022 © ASCE.

关键词： Modular construction

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Electrochemical Adsorption of Perfluorooctanoic Acid from Aqueous Solutions Using Ion Exchange Membranes

SSRN

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SSRN 2023年

作者： Zhang, Kaihang Crittenden, John C. Brook Byers Institute of Sustainable Systems School of Civil and Environmental Engineering Georgia Institute of Technology AtlantaGA30332 United States

Perfluorooctanoic acid (PFOA) pollution in aqueous environments has become a matter of significant concern due to its adverse effects on the environment and ecosystems. In the pursuit of an efficient PFOA removal method, ion exchange membranes have been employed as adsorbents using the electrosorption technique. This study investigates the electrosorption capacity of PFOA, focusing on factors such as the types of ion exchange membranes, applied potential, residual time, and PFOA concentration. Among the various membranes tested, the polyvinylidene chloride membrane with quaternary ammonium groups demonstrated an impressive 92.5% removal ratio under an initial concentration of 100 ppm. However, the desorption of PFOA poses a challenge due to its surfactant nature and the strong electrostatic interaction with the quaternary ammonium groups on the membrane surface. Our research findings indicate that using a protic CH3OH solution with NaCl enables efficient PFOA desorption. Additionally, the membrane exhibits a remarkable retention of 99.2% capacity over five electrosorption-desorption cycles. In conclusion, the innovative electrosorption-desorption methods presented in this study offer a promising direction for effective PFOA removal. © 2023, The Authors. All rights reserved.

关键词： Ion exchange membranes

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Hydrosignal: Open-Source Internet of Things Information Communication Platform for Hydrological Education and Outreach

SSRN

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SSRN 2024年

作者： Kaynak, Baran Mermer, Omer Sermet, Yusuf Demir, Ibrahim IIHR—Hydroscience and Engineering University of Iowa Iowa CityIA United States Civil and Environmental Engineering University of Iowa Iowa CityIA United States Electrical and Computer Engineering University of Iowa Iowa CityIA United States Information Systems Engineering Sakarya University Sakarya Turkey

This study introduces HydroSignal, an affordable, open-source platform that democratizes hydrological monitoring using Internet of Things (IoT) technology. HydroSignal's web-based interface makes vital hydrological data accessible to professionals, educators, and students, promoting environmental awareness. By integrating IoT devices with user-friendly visualization, HydroSignal enables real-time acquisition and presentation of various hydrological parameters. The platform's versatility is demonstrated through four use cases: flood level and turbidity monitoring, rainfall data visualization, and simultaneous monitoring of soil moisture and temperature. These applications support a comprehensive understanding of hydrological processes and environmental management. HydroSignal offers a promising solution for hydrological and environmental monitoring, improving data accessibility, communication, and visualization, and facilitating interactive learning in hydroscience education and community engagement. © 2024, The Authors. All rights reserved.

关键词： environmental monitoring

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An IoT-AI Toolchain for Structural Health Monitoring

An IoT-AI Toolchain for Structural Health Monitoring

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IEEE International Workshop on Measurements and Networking Proceedings (M&N)

作者： Mattia Forlesi Alfonso Esposito Leonardo Ciabattini Luca Sciullo Marco Di Felice Soroosh Kamali Emma Ghini Stefano Silvestri Alessandro Marzani Department of Computer Science and Engineering University of Bologna Italy Advanced Research Center on Electronic Systems “Ercole De Castro” - ARCES University of Bologna Italy Department of Civil Chemical Environmental and Materials Engineering University of Bologna Italy

ISBN: (数字)9798350370539

ISBN: (纸本)9798350370546

Next-generation Structural Health Monitoring (SHM) systems can benefit significantly from the integration of Internet of Things (IoT) and Machine Learning (ML) technologies to assess the integrity of civil buildings and infrastructures. However, the deployment of scalable and accurate data analytics techniques for damage detection and classification is often hindered by the processing of voluminous sensor data and by the complexity of generating representative pseudo datasets for actual healthy and damaged conditions. We propose a framework for SHM data management and analytics that draws upon competencies and tools from various domains, including IoT, numerical modeling, and AI. Our methodology spans from data gathering from on-field sensors, data processing upon their physical interpretation, up to an alarming system. It integrates data-driven and model-based approaches to perform anomaly detection and, consequentially, to classify damage characteristics via a set of dedicated algorithms. In this work, we specifically describe the IoT-AI architecture for SHM, highlighting critical points and further developments. In addition, we present an illustrative implementation carried out on a concrete structure by reporting examples of possible outcomes of our framework.

关键词： Data analysis Buildings Machine learning Data models Numerical models Complexity theory Classification algorithms

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Connected Vehicle Data in systems Modeling and Evaluation of Investments in Pedestrian Safety

Connected Vehicle Data in Systems Modeling and Evaluation of...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： DeAndre Johnson Megan C. Marcellin Cody A. Pennetti Rayshaun L. Wheeler Collyn Clark Jungwook Jun James H. Lambert Department of Systems and Information Engineering University of Virginia Charlottesville VA USA Department of Civil and Environmental Engineering University of Virginia Charlottesville VA USA Virginia Department of Transportation Transportation and Mobility Planning Division Richmond VA USA

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Ensuring pedestrian safety at high-risk, high-volume locations, such as hospitals, schools, stadiums, etc., requires consideration of the observed and possible future trends at access points of the transportation network. Existing performance metrics are often spatially and temporally aggregated, limiting their usefulness in assessing safety risks for time periods and locations of interest. Latest connected-vehicle (CV) technologies have improved both the volumes and resolutions of vehicle-movement data, with telemetry reported every few seconds. This study utilizes CV data in a multi-criteria analysis (MCA) to prioritize infrastructure improvements that improve pedestrian safety in school zones. The methods are demonstrated to update priorities for thirty-two candidate improvements at a single school vulnerable to evolving traffic and other conditions. Six performance criteria are addressed, including four criteria informed by CV event observations. The results highlight scenarios, articulated by the day of week and hour of the day, that are most disruptive to the priorities for improvements. The approach has interest across domains of systems engineering where trends and critical incidents of environment, markets, regulations, wear and tear, demographics, obsolescence, workforce etc. should influence systems evaluation and requirements.

关键词： Measurement Pedestrians systems operation System performance Transportation systems modeling Market research Safety Telemetry Stakeholders

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