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    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

    EISSN: 2332-9025
    ISSN: 2332-9017
    Priority: 4
    Publisher: American Society of Civil Engineers
    Description: The ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering disseminates research findings, best practices and concerns, and discussion and debate on risk and uncertainty related issues. The journal reports on More ...

    Now showing items 541-550 of 601

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    Modeling of Chloride Spatial Variability in a Reinforced Concrete Wharf from Onsite Measurements 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024048-1
    Author(s): Romain Clerc; Franck Schoefs; Mestapha Oumouni; Inès Othmen; Stéphanie Bonnet
    Publisher: American Society of Civil Engineers
    Abstract: Chloride ingress by diffusion is the major deterioration process of reinforced concrete (RC) structures exposed to the marine environment. These structures have significant lengths or surfaces exposed to the outside ...
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    A Novel Air Curtain Mitigation System for a Toxic Gas Storage Tank 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001:;page 04023053-1
    Author(s): Seungbum Jo
    Publisher: ASCE
    Abstract: A mitigation system is significant in that it blocks the flow of toxic gas and prevents the growth of hazardous areas, thereby securing sufficient evacuation time. A new air curtain mitigation system was developed to prevent ...
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    Design Optimization with Variable Screening by Interval-Based Sensitivity Analysis 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024039-1
    Author(s): Qi Chang; Changcong Zhou; Matthias G. R. Faes; Marcos A. Valdebenito
    Publisher: American Society of Civil Engineers
    Abstract: Design optimization problems are very common in engineering practice. Determining their solution may be challenging when many design variables are involved. A means to cope with such large number of design variables consists ...
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    Navigation Decision-Making Method of Complex Multitype Ships’ Routing Waters 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 004:;page 04024057-1
    Author(s): Deqing Yu; Yixiong He; Dian Lyu; Jinlai Liu; Xingya Zhao; Liwen Huang
    Publisher: American Society of Civil Engineers
    Abstract: The navigation decision-making method has attracted increasing attention in recent years. However, most of the research is concentrated on open waters. This study proposes a navigation decision-making method suitable for ...
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    Operational Influence Line Identification of High-Speed Railway Bridge Considering Uncertainty of Train Load 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 004:;page 04024052-1
    Author(s): Han-Wen Zheng; Ting-Hua Yi; Xu Zheng; Yun-Tao Wei; Hong-Nan Li
    Publisher: American Society of Civil Engineers
    Abstract: The bridge influence line (BIL) contains static information for each section of a bridge, which is an important tool for bridge design and condition evaluation. The current influence line identification procedure relies ...
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    Track Geometry Estimation and Hanging Sleeper Detection Using Vehicle Dynamic Responses with Unknown System Parameters 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024044-1
    Author(s): Masaru Kitahara; Daichi Masuda; Kai Xue; Tomonori Nagayama; Di Su; Hirofumi Tanaka
    Publisher: American Society of Civil Engineers
    Abstract: This study presents an efficient, but effective, approach to infer railroad track geometries and locate hanging sleepers from the car body responses. A half-car model is employed to represent the bounce and pitch motions ...
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    Data-Driven Telecommunication Outage Prediction during Hurricane Events 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024046-1
    Author(s): Ao Du
    Publisher: American Society of Civil Engineers
    Abstract: Telecommunication infrastructure (TI) has become an indispensable part in modern society, and its functionality is especially vital to emergency response during hurricanes. This study bridges the gap of lack of quantitative ...
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    Risk Identification, Prioritization, and Mapping for Early Construction Cost Contingency in Transportation Infrastructure Projects 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024050-1
    Author(s): Taewoo Ko; Chau Le; H. David Jeong; Phuong Nguyen; Kunhee Choi; Douglas Gransberg
    Publisher: American Society of Civil Engineers
    Abstract: State Departments of Transportation (DOTs) require reliable early construction cost estimates for project budgeting. Typically, project budgets are established early in the development process before finalizing a project’s ...
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    A Quasi-Binomial Regression Model for Hurricane-Induced Power Outages during Early Warning 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002:;page 04024027-1
    Author(s): Prateek Arora; Luis Ceferino
    Publisher: American Society of Civil Engineers
    Abstract: Hurricanes can cause devastating damage to overhead distribution lines leading to large power outages in electric grids. Power outage prediction models can help utilities to plan for an expedited power recovery by identifying ...
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    System Identification via Unscented Kalman Filtering and Model Class Selection 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001:;page 04023063-1
    Author(s): Luca Rosafalco; Saeed Eftekhar Azam; Stefano Mariani; Alberto Corigliano
    Publisher: ASCE
    Abstract: Identifying the mechanical properties of civil structures is required for life-cycle assessment. Kalman filters are exploited for this goal, enabling the online update of a numerical model, acting as the digital twin of ...
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